Chapter 4. Configuring Kafka Kafka uses a properties file to store static configuration. The recommended location for the configuration file is /opt/kafka/config/server.properties . The configuration file has to be readable by the kafka user. AMQ Streams ships an example configuration file that highlights various basic and advanced features of the product. It can be found under config/server.properties in the AMQ Streams installation directory. This chapter explains the most important configuration options. For a complete list of supported Kafka broker configuration options, see Appendix A, Broker configuration parameters . 4.1. ZooKeeper Kafka brokers need ZooKeeper to store some parts of their configuration as well as to coordinate the cluster (for example to decide which node is a leader for which partition). Connection details for the ZooKeeper cluster are stored in the configuration file. The field zookeeper.connect contains a comma-separated list of hostnames and ports of members of the zookeeper cluster. For example: zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181 Kafka will use these addresses to connect to the ZooKeeper cluster. With this configuration, all Kafka znodes will be created directly in the root of ZooKeeper database. Therefore, such a ZooKeeper cluster could be used only for a single Kafka cluster. To configure multiple Kafka clusters to use single ZooKeeper cluster, specify a base (prefix) path at the end of the ZooKeeper connection string in the Kafka configuration file: zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181/my-cluster-1 4.2. Listeners Kafka brokers can be configured to use multiple listeners. Each listener can be used to listen on a different port or network interface and can have different configuration. Listeners are configured in the listeners property in the configuration file. The listeners property contains a list of listeners with each listener configured as <listenerName> :// <hostname> :_<port>_ . When the hostname value is empty, Kafka will use java.net.InetAddress.getCanonicalHostName() as hostname. The following example shows how multiple listeners might be configured: When a Kafka client wants to connect to a Kafka cluster, it first connects to a bootstrap server . The bootstrap server is one of the cluster nodes. It will provide the client with a list of all other brokers which are part of the cluster and the client will connect to them individually. By default the bootstrap server will provide the client with a list of nodes based on the listeners field. Advertised listeners It is possible to give the client a different set of addresses than given in the listeners property. It is useful in situations when additional network infrastructure, such as a proxy, is between the client and the broker, or when an external DNS name should be used instead of an IP address. Here, the broker allows defining the advertised addresses of the listeners in the advertised.listeners configuration property. This property has the same format as the listeners property. The following example shows how to configure advertised listeners: Note The names of the listeners have to match the names of the listeners from the listeners property. Inter-broker listeners When the cluster has replicated topics, the brokers responsible for such topics need to communicate with each other in order to replicate the messages in those topics. When multiple listeners are configured, the configuration field inter.broker.listener.name can be used to specify the name of the listener which should be used for replication between brokers. For example: 4.3. Commit logs Apache Kafka stores all records it receives from producers in commit logs. The commit logs contain the actual data, in the form of records, that Kafka needs to deliver. These are not the application log files which record what the broker is doing. Log directories You can configure log directories using the log.dirs property file to store commit logs in one or multiple log directories. It should be set to /var/lib/kafka directory created during installation: For performance reasons, you can configure log.dirs to multiple directories and place each of them on a different physical device to improve disk I/O performance. For example: 4.4. Broker ID Broker ID is a unique identifier for each broker in the cluster. You can assign an integer greater than or equal to 0 as broker ID. The broker ID is used to identify the brokers after restarts or crashes and it is therefore important that the id is stable and does not change over time. The broker ID is configured in the broker properties file: 4.5. Running a multi-node Kafka cluster This procedure describes how to configure and run Kafka as a multi-node cluster. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. A ZooKeeper cluster is configured and running . Running the cluster For each Kafka broker in your AMQ Streams cluster: Edit the /opt/kafka/config/server.properties Kafka configuration file as follows: Set the broker.id field to 0 for the first broker, 1 for the second broker, and so on. Configure the details for connecting to ZooKeeper in the zookeeper.connect option. Configure the Kafka listeners. Set the directories where the commit logs should be stored in the logs.dir directory. Here we see an example configuration for a Kafka broker: broker.id=0 zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181 listeners=REPLICATION://:9091,PLAINTEXT://:9092 inter.broker.listener.name=REPLICATION log.dirs=/var/lib/kafka In a typical installation where each Kafka broker is running on identical hardware, only the broker.id configuration property will differ between each broker config. Start the Kafka broker with the default configuration file. su - kafka /opt/kafka/bin/kafka-server-start.sh -daemon /opt/kafka/config/server.properties Verify that the Kafka broker is running. jcmd | grep Kafka Verifying the brokers Once all nodes of the clusters are up and running, verify that all nodes are members of the Kafka cluster by sending a dump command to one of the ZooKeeper nodes using the ncat utility. The command prints all Kafka brokers registered in ZooKeeper. Use ncat stat to check the node status. echo dump | ncat zoo1.my-domain.com 2181 The output should contain all Kafka brokers you just configured and started. Example output from the ncat command for Kafka cluster with 3 nodes: SessionTracker dump: org.apache.zookeeper.server.quorum.LearnerSessionTracker@28848ab9 ephemeral nodes dump: Sessions with Ephemerals (3): 0x20000015dd00000: /brokers/ids/1 0x10000015dc70000: /controller /brokers/ids/0 0x10000015dc70001: /brokers/ids/2 Additional resources For more information about installing AMQ Streams, see Section 2.3, "Installing AMQ Streams" . For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a ZooKeeper cluster, see Section 3.3, "Running multi-node ZooKeeper cluster" . For a complete list of supported Kafka broker configuration options, see Appendix A, Broker configuration parameters . 4.6. ZooKeeper authentication By default, connections between ZooKeeper and Kafka are not authenticated. However, Kafka and ZooKeeper support Java Authentication and Authorization Service (JAAS) which can be used to set up authentication using Simple Authentication and Security Layer (SASL). ZooKeeper supports authentication using the DIGEST-MD5 SASL mechanism with locally stored credentials. 4.6.1. JAAS Configuration SASL authentication for ZooKeeper connections has to be configured in the JAAS configuration file. By default, Kafka will use the JAAS context named Client for connecting to ZooKeeper. The Client context should be configured in the /opt/kafka/config/jass.conf file. The context has to enable the PLAIN SASL authentication, as in the following example: 4.6.2. Enabling ZooKeeper authentication This procedure describes how to enable authentication using the SASL DIGEST-MD5 mechanism when connecting to ZooKeeper. Prerequisites Client-to-server authentication is enabled in ZooKeeper Enabling SASL DIGEST-MD5 authentication On all Kafka broker nodes, create or edit the /opt/kafka/config/jaas.conf JAAS configuration file and add the following context: The username and password should be the same as configured in ZooKeeper. Following example shows the Client context: Restart all Kafka broker nodes one by one. To pass the JAAS configuration to Kafka brokers, use the KAFKA_OPTS environment variable. Additional resources For more information about configuring client-to-server authentication in ZooKeeper, see Section 3.4, "Authentication" . 4.7. Authorization Authorization in Kafka brokers is implemented using authorizer plugins. In this section we describe how to use the AclAuthorizer plugin provided with Kafka. Alternatively, you can use your own authorization plugins. For example, if you are using OAuth 2.0 token-based authentication , you can use OAuth 2.0 authorization . 4.7.1. Simple ACL authorizer Authorizer plugins, including AclAuthorizer , are enabled through the authorizer.class.name property: authorizer.class.name=kafka.security.auth.SimpleAclAuthorizer A fully-qualified name is required for the chosen authorizer. For AclAuthorizer , the fully-qualified name is kafka.security.auth.SimpleAclAuthorizer . 4.7.1.1. ACL rules AclAuthorizer uses ACL rules to manage access to Kafka brokers. ACL rules are defined in the format: Principal P is allowed / denied operation O on Kafka resource R from host H For example, a rule might be set so that user: John can view the topic comments from host 127.0.0.1 Host is the IP address of the machine that John is connecting from. In most cases, the user is a producer or consumer application: Consumer01 can write to the consumer group accounts from host 127.0.0.1 If ACL rules are not present If ACL rules are not present for a given resource, all actions are denied. This behavior can be changed by setting the property allow.everyone.if.no.acl.found to true in the Kafka configuration file /opt/kafka/config/server.properties . 4.7.1.2. Principals A principal represents the identity of a user. The format of the ID depends on the authentication mechanism used by clients to connect to Kafka: User:ANONYMOUS when connected without authentication. User:<username> when connected using simple authentication mechanisms, such as PLAIN or SCRAM. For example User:admin or User:user1 . User:<DistinguishedName> when connected using TLS client authentication. For example User:CN=user1,O=MyCompany,L=Prague,C=CZ . User:<Kerberos username> when connected using Kerberos. The DistinguishedName is the distinguished name from the client certificate. The Kerberos username is the primary part of the Kerberos principal, which is used by default when connecting using Kerberos. You can use the sasl.kerberos.principal.to.local.rules property to configure how the Kafka principal is built from the Kerberos principal. 4.7.1.3. Authentication of users To use authorization, you need to have authentication enabled and used by your clients. Otherwise, all connections will have the principal User:ANONYMOUS . For more information on methods of authentication, see Encryption and authentication . 4.7.1.4. Super users Super users are allowed to take all actions regardless of the ACL rules. Super users are defined in the Kafka configuration file using the property super.users . For example: 4.7.1.5. Replica broker authentication When authorization is enabled, it is applied to all listeners and all connections. This includes the inter-broker connections used for replication of data between brokers. If enabling authorization, therefore, ensure that you use authentication for inter-broker connections and give the users used by the brokers sufficient rights. For example, if authentication between brokers uses the kafka-broker user, then super user configuration must include the username super.users=User:kafka-broker . 4.7.1.6. Supported resources You can apply Kafka ACLs to these types of resource: Topics Consumer groups The cluster TransactionId DelegationToken 4.7.1.7. Supported operations AclAuthorizer authorizes operations on resources. Fields with X in the following table mark the supported operations for each resource. Table 4.1. Supported operations for a resource Topics Consumer Groups Cluster Read X X Write X Create X Delete X Alter X Describe X X X ClusterAction X All X X X 4.7.1.8. ACL management options ACL rules are managed using the bin/kafka-acls.sh utility, which is provided as part of the Kafka distribution package. Use kafka-acls.sh parameter options to add, list and remove ACL rules, and perform other functions. The parameters require a double-hyphen convention, such as --add . Option Type Description Default add Action Add ACL rule. remove Action Remove ACL rule. list Action List ACL rules. authorizer Action Fully-qualified class name of the authorizer. kafka.security.auth.SimpleAclAuthorizer authorizer-properties Configuration Key/value pairs passed to the authorizer for initialization. For AclAuthorizer , the example values are: zookeeper.connect=zoo1.my-domain.com:2181 . bootstrap-server Resource Host/port pairs to connect to the Kafka cluster. Use this option or the authorizer option, not both. command-config Resource Configuration property file to pass to the Admin Client, which is used in conjunction with the bootstrap-server parameter. cluster Resource Specifies a cluster as an ACL resource. topic Resource Specifies a topic name as an ACL resource. An asterisk ( * ) used as a wildcard translates to all topics . A single command can specify multiple --topic options. group Resource Specifies a consumer group name as an ACL resource. A single command can specify multiple --group options. transactional-id Resource Specifies a transactional ID as an ACL resource. Transactional delivery means that all messages sent by a producer to multiple partitions must be successfully delivered or none of them. An asterisk ( * ) used as a wildcard translates to all IDs . delegation-token Resource Specifies a delegation token as an ACL resource. An asterisk ( * ) used as a wildcard translates to all tokens . resource-pattern-type Configuration Specifies a type of resource pattern for the add parameter or a resource pattern filter value for the list or remove parameters. Use literal or prefixed as the resource pattern type for a resource name. Use any or match as resource pattern filter values, or a specific pattern type filter. literal allow-principal Principal Principal added to an allow ACL rule. A single command can specify multiple --allow-principal options. deny-principal Principal Principal added to a deny ACL rule. A single command can specify multiple --deny-principal options. principal Principal Principal name used with the list parameter to return a list of ACLs for the principal. A single command can specify multiple --principal options. allow-host Host IP address that allows access to the principals listed in --allow-principal . Hostnames or CIDR ranges are not supported. If --allow-principal is specified, defaults to * meaning "all hosts". deny-host Host IP address that denies access to the principals listed in --deny-principal . Hostnames or CIDR ranges are not supported. if --deny-principal is specified, defaults to * meaning "all hosts". operation Operation Allows or denies an operation. A single command can specify multipleMultiple --operation options can be specified in single command. All producer Shortcut A shortcut to allow or deny all operations needed by a message producer (WRITE and DESCRIBE on topic, CREATE on cluster). consumer Shortcut A shortcut to allow or deny all operations needed by a message consumer (READ and DESCRIBE on topic, READ on consumer group). idempotent Shortcut A shortcut to enable idempotence when used with the --producer parameter, so that messages are delivered exactly once to a partition. Idepmotence is enabled automatically if the producer is authorized to send messages based on a specific transactional ID. force Shortcut A shortcut to accept all queries and do not prompt. 4.7.2. Enabling authorization This procedure describes how to enable the AclAuthorizer plugin for authorization in Kafka brokers. Prerequisites AMQ Streams is installed on all hosts used as Kafka brokers. Procedure Edit the /opt/kafka/config/server.properties Kafka configuration file to use the AclAuthorizer . (Re)start the Kafka brokers. Additional resources For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a Kafka cluster, see Section 4.5, "Running a multi-node Kafka cluster" . 4.7.3. Adding ACL rules AclAuthorizer uses Access Control Lists (ACLs), which define a set of rules describing what users can and cannot do. This procedure describes how to add ACL rules when using the AclAuthorizer plugin in Kafka brokers. Rules are added using the kafka-acls.sh utility and stored in ZooKeeper. Prerequisites AMQ Streams is installed on all hosts used as Kafka brokers. Authorization is enabled in Kafka brokers. Procedure Run kafka-acls.sh with the --add option. Examples: Allow user1 and user2 access to read from myTopic using the MyConsumerGroup consumer group. bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Read --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Describe --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Read --operation Describe --group MyConsumerGroup --allow-principal User:user1 --allow-principal User:user2 Deny user1 access to read myTopic from IP address host 127.0.0.1 . bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Describe --operation Read --topic myTopic --group MyConsumerGroup --deny-principal User:user1 --deny-host 127.0.0.1 Add user1 as the consumer of myTopic with MyConsumerGroup . bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --consumer --topic myTopic --group MyConsumerGroup --allow-principal User:user1 Additional resources For a list of all kafka-acls.sh options, see Section 4.7.1, "Simple ACL authorizer" . 4.7.4. Listing ACL rules This procedure describes how to list existing ACL rules when using the AclAuthorizer plugin in Kafka brokers. Rules are listed using the kafka-acls.sh utility. Prerequisites AMQ Streams is installed on all hosts used as Kafka brokers. Authorization is enabled in Kafka brokers ACLs have been added . Procedure Run kafka-acls.sh with the --list option. For example: USD bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --list --topic myTopic Current ACLs for resource `Topic:myTopic`: User:user1 has Allow permission for operations: Read from hosts: * User:user2 has Allow permission for operations: Read from hosts: * User:user2 has Deny permission for operations: Read from hosts: 127.0.0.1 User:user1 has Allow permission for operations: Describe from hosts: * User:user2 has Allow permission for operations: Describe from hosts: * User:user2 has Deny permission for operations: Describe from hosts: 127.0.0.1 Additional resources For a list of all kafka-acls.sh options, see Section 4.7.1, "Simple ACL authorizer" . 4.7.5. Removing ACL rules This procedure describes how to remove ACL rules when using the AclAuthorizer plugin in Kafka brokers. Rules are removed using the kafka-acls.sh utility. Prerequisites AMQ Streams is installed on all hosts used as Kafka brokers. Authorization is enabled in Kafka brokers. ACLs have been added . Procedure Run kafka-acls.sh with the --remove option. Examples: Remove the ACL allowing Allow user1 and user2 access to read from myTopic using the MyConsumerGroup consumer group. bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Read --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Describe --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Read --operation Describe --group MyConsumerGroup --allow-principal User:user1 --allow-principal User:user2 Remove the ACL adding user1 as the consumer of myTopic with MyConsumerGroup . bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --consumer --topic myTopic --group MyConsumerGroup --allow-principal User:user1 Remove the ACL denying user1 access to read myTopic from IP address host 127.0.0.1 . bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Describe --operation Read --topic myTopic --group MyConsumerGroup --deny-principal User:user1 --deny-host 127.0.0.1 Additional resources For a list of all kafka-acls.sh options, see Section 4.7.1, "Simple ACL authorizer" . For more information about enabling authorization, see Section 4.7.2, "Enabling authorization" . 4.8. ZooKeeper authorization When authentication is enabled between Kafka and ZooKeeper, you can use ZooKeeper Access Control List (ACL) rules to automatically control access to Kafka's metadata stored in ZooKeeper. 4.8.1. ACL Configuration Enforcement of ZooKeeper ACL rules is controlled by the zookeeper.set.acl property in the config/server.properties Kafka configuration file. The property is disabled by default and enabled by setting to true : If ACL rules are enabled, when a znode is created in ZooKeeper only the Kafka user who created it can modify or delete it. All other users have read-only access. Kafka sets ACL rules only for newly created ZooKeeper znodes . If the ACLs are only enabled after the first start of the cluster, the zookeeper-security-migration.sh tool can set ACLs on all existing znodes . Confidentiality of data in ZooKeeper Data stored in ZooKeeper includes: Topic names and their configuration Salted and hashed user credentials when SASL SCRAM authentication is used. But ZooKeeper does not store any records sent and received using Kafka. The data stored in ZooKeeper is assumed to be non-confidential. If the data is to be regarded as confidential (for example because topic names contain customer IDs), the only option available for protection is isolating ZooKeeper on the network level and allowing access only to Kafka brokers. 4.8.2. Enabling ZooKeeper ACLs for a new Kafka cluster This procedure describes how to enable ZooKeeper ACLs in Kafka configuration for a new Kafka cluster. Use this procedure only before the first start of the Kafka cluster. For enabling ZooKeeper ACLs in a cluster that is already running, see Section 4.8.3, "Enabling ZooKeeper ACLs in an existing Kafka cluster" . Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. ZooKeeper cluster is configured and running . Client-to-server authentication is enabled in ZooKeeper. ZooKeeper authentication is enabled in the Kafka brokers. Kafka brokers have not yet been started. Procedure Edit the /opt/kafka/config/server.properties Kafka configuration file to set the zookeeper.set.acl field to true on all cluster nodes. Start the Kafka brokers. 4.8.3. Enabling ZooKeeper ACLs in an existing Kafka cluster This procedure describes how to enable ZooKeeper ACLs in Kafka configuration for a Kafka cluster that is running. Use the zookeeper-security-migration.sh tool to set ZooKeeper ACLs on all existing znodes . The zookeeper-security-migration.sh is available as part of AMQ Streams, and can be found in the bin directory. Prerequisites Kafka cluster is configured and running . Enabling the ZooKeeper ACLs Edit the /opt/kafka/config/server.properties Kafka configuration file to set the zookeeper.set.acl field to true on all cluster nodes. Restart all Kafka brokers one by one. Set the ACLs on all existing ZooKeeper znodes using the zookeeper-security-migration.sh tool. For example: 4.9. Encryption and authentication AMQ Streams supports encryption and authentication, which is configured as part of the listener configuration. 4.9.1. Listener configuration Encryption and authentication in Kafka brokers is configured per listener. For more information about Kafka listener configuration, see Section 4.2, "Listeners" . Each listener in the Kafka broker is configured with its own security protocol. The configuration property listener.security.protocol.map defines which listener uses which security protocol. It maps each listener name to its security protocol. Supported security protocols are: PLAINTEXT Listener without any encryption or authentication. SSL Listener using TLS encryption and, optionally, authentication using TLS client certificates. SASL_PLAINTEXT Listener without encryption but with SASL-based authentication. SASL_SSL Listener with TLS-based encryption and SASL-based authentication. Given the following listeners configuration: the listener.security.protocol.map might look like this: This would configure the listener INT1 to use unencrypted connections with SASL authentication, the listener INT2 to use encrypted connections with SASL authentication and the REPLICATION interface to use TLS encryption (possibly with TLS client authentication). The same security protocol can be used multiple times. The following example is also a valid configuration: Such a configuration would use TLS encryption and TLS authentication for all interfaces. The following chapters will explain in more detail how to configure TLS and SASL. 4.9.2. TLS Encryption Kafka supports TLS for encrypting communication with Kafka clients. In order to use TLS encryption and server authentication, a keystore containing private and public keys has to be provided. This is usually done using a file in the Java Keystore (JKS) format. A path to this file is set in the ssl.keystore.location property. The ssl.keystore.password property should be used to set the password protecting the keystore. For example: In some cases, an additional password is used to protect the private key. Any such password can be set using the ssl.key.password property. Kafka is able to use keys signed by certification authorities as well as self-signed keys. Using keys signed by certification authorities should always be the preferred method. In order to allow clients to verify the identity of the Kafka broker they are connecting to, the certificate should always contain the advertised hostname(s) as its Common Name (CN) or in the Subject Alternative Names (SAN). It is possible to use different SSL configurations for different listeners. All options starting with ssl. can be prefixed with listener.name.<NameOfTheListener>. , where the name of the listener has to be always in lower case. This will override the default SSL configuration for that specific listener. The following example shows how to use different SSL configurations for different listeners: Additional TLS configuration options In addition to the main TLS configuration options described above, Kafka supports many options for fine-tuning the TLS configuration. For example, to enable or disable TLS / SSL protocols or cipher suites: ssl.cipher.suites List of enabled cipher suites. Each cipher suite is a combination of authentication, encryption, MAC and key exchange algorithms used for the TLS connection. By default, all available cipher suites are enabled. ssl.enabled.protocols List of enabled TLS / SSL protocols. Defaults to TLSv1.2,TLSv1.1,TLSv1 . For a complete list of supported Kafka broker configuration options, see Appendix A, Broker configuration parameters . 4.9.3. Enabling TLS encryption This procedure describes how to enable encryption in Kafka brokers. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. Procedure Generate TLS certificates for all Kafka brokers in your cluster. The certificates should have their advertised and bootstrap addresses in their Common Name or Subject Alternative Name. Edit the /opt/kafka/config/server.properties Kafka configuration file on all cluster nodes for the following: Change the listener.security.protocol.map field to specify the SSL protocol for the listener where you want to use TLS encryption. Set the ssl.keystore.location option to the path to the JKS keystore with the broker certificate. Set the ssl.keystore.password option to the password you used to protect the keystore. For example: (Re)start the Kafka brokers Additional resources For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a Kafka cluster, see Section 4.5, "Running a multi-node Kafka cluster" . For more information about configuring TLS encryption in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.9.4. Authentication For authentication, you can use: TLS client authentication based on X.509 certificates on encrypted connections A supported Kafka SASL (Simple Authentication and Security Layer) mechanism OAuth 2.0 token based authentication 4.9.4.1. TLS client authentication TLS client authentication can be used only on connections which are already using TLS encryption. To use TLS client authentication, a truststore with public keys can be provided to the broker. These keys can be used to authenticate clients connecting to the broker. The truststore should be provided in Java Keystore (JKS) format and should contain public keys of the certification authorities. All clients with public and private keys signed by one of the certification authorities included in the truststore will be authenticated. The location of the truststore is set using field ssl.truststore.location . In case the truststore is password protected, the password should be set in the ssl.truststore.password property. For example: Once the truststore is configured, TLS client authentication has to be enabled using the ssl.client.auth property. This property can be set to one of three different values: none TLS client authentication is switched off. (Default value) requested TLS client authentication is optional. Clients will be asked to authenticate using TLS client certificate but they can choose not to. required Clients are required to authenticate using TLS client certificate. When a client authenticates using TLS client authentication, the authenticated principal name is the distinguished name from the authenticated client certificate. For example, a user with a certificate which has a distinguished name CN=someuser will be authenticated with the following principal CN=someuser,OU=Unknown,O=Unknown,L=Unknown,ST=Unknown,C=Unknown . When TLS client authentication is not used and SASL is disabled, the principal name will be ANONYMOUS . 4.9.4.2. SASL authentication SASL authentication is configured using Java Authentication and Authorization Service (JAAS). JAAS is also used for authentication of connections between Kafka and ZooKeeper. JAAS uses its own configuration file. The recommended location for this file is /opt/kafka/config/jaas.conf . The file has to be readable by the kafka user. When running Kafka, the location of this file is specified using Java system property java.security.auth.login.config . This property has to be passed to Kafka when starting the broker nodes: SASL authentication is supported both through plain unencrypted connections as well as through TLS connections. SASL can be enabled individually for each listener. To enable it, the security protocol in listener.security.protocol.map has to be either SASL_PLAINTEXT or SASL_SSL . SASL authentication in Kafka supports several different mechanisms: PLAIN Implements authentication based on username and passwords. Usernames and passwords are stored locally in Kafka configuration. SCRAM-SHA-256 and SCRAM-SHA-512 Implements authentication using Salted Challenge Response Authentication Mechanism (SCRAM). SCRAM credentials are stored centrally in ZooKeeper. SCRAM can be used in situations where ZooKeeper cluster nodes are running isolated in a private network. GSSAPI Implements authentication against a Kerberos server. Warning The PLAIN mechanism sends the username and password over the network in an unencrypted format. It should be therefore only be used in combination with TLS encryption. The SASL mechanisms are configured via the JAAS configuration file. Kafka uses the JAAS context named KafkaServer . After they are configured in JAAS, the SASL mechanisms have to be enabled in the Kafka configuration. This is done using the sasl.enabled.mechanisms property. This property contains a comma-separated list of enabled mechanisms: In case the listener used for inter-broker communication is using SASL, the property sasl.mechanism.inter.broker.protocol has to be used to specify the SASL mechanism which it should use. For example: The username and password which will be used for the inter-broker communication has to be specified in the KafkaServer JAAS context using the field username and password . SASL PLAIN To use the PLAIN mechanism, the usernames and password which are allowed to connect are specified directly in the JAAS context. The following example shows the context configured for SASL PLAIN authentication. The example configures three different users: admin user1 user2 The JAAS configuration file with the user database should be kept in sync on all Kafka brokers. When SASL PLAIN is also used for inter-broker authentication, the username and password properties should be included in the JAAS context: SASL SCRAM SCRAM authentication in Kafka consists of two mechanisms: SCRAM-SHA-256 and SCRAM-SHA-512 . These mechanisms differ only in the hashing algorithm used - SHA-256 versus stronger SHA-512. To enable SCRAM authentication, the JAAS configuration file has to include the following configuration: When enabling SASL authentication in the Kafka configuration file, both SCRAM mechanisms can be listed. However, only one of them can be chosen for the inter-broker communication. For example: User credentials for the SCRAM mechanism are stored in ZooKeeper. The kafka-configs.sh tool can be used to manage them. For example, run the following command to add user user1 with password 123456: To delete a user credential use: SASL GSSAPI The SASL mechanism used for authentication using Kerberos is called GSSAPI . To configure Kerberos SASL authentication, the following configuration should be added to the JAAS configuration file: The domain name in the Kerberos principal has to be always in upper case. In addition to the JAAS configuration, the Kerberos service name needs to be specified in the sasl.kerberos.service.name property in the Kafka configuration: Multiple SASL mechanisms Kafka can use multiple SASL mechanisms at the same time. The different JAAS configurations can be all added to the same context: When multiple mechanisms are enabled, clients will be able to choose the mechanism which they want to use. 4.9.5. Enabling TLS client authentication This procedure describes how to enable TLS client authentication in Kafka brokers. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. TLS encryption is enabled . Procedure Prepare a JKS truststore containing the public key of the certification authority used to sign the user certificates. Edit the /opt/kafka/config/server.properties Kafka configuration file on all cluster nodes for the following: Set the ssl.truststore.location option to the path to the JKS truststore with the certification authority of the user certificates. Set the ssl.truststore.password option to the password you used to protect the truststore. Set the ssl.client.auth option to required . For example: (Re)start the Kafka brokers Additional resources For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a Kafka cluster, see Section 4.5, "Running a multi-node Kafka cluster" . For more information about configuring TLS encryption in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.9.6. Enabling SASL PLAIN authentication This procedure describes how to enable SASL PLAIN authentication in Kafka brokers. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. Procedure Edit or create the /opt/kafka/config/jaas.conf JAAS configuration file. This file should contain all your users and their passwords. Make sure this file is the same on all Kafka brokers. For example: Edit the /opt/kafka/config/server.properties Kafka configuration file on all cluster nodes for the following: Change the listener.security.protocol.map field to specify the SASL_PLAINTEXT or SASL_SSL protocol for the listener where you want to use SASL PLAIN authentication. Set the sasl.enabled.mechanisms option to PLAIN . For example: (Re)start the Kafka brokers using the KAFKA_OPTS environment variable to pass the JAAS configuration to Kafka brokers. Additional resources For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a Kafka cluster, see Section 4.5, "Running a multi-node Kafka cluster" . For more information about configuring SASL PLAIN authentication in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.9.7. Enabling SASL SCRAM authentication This procedure describes how to enable SASL SCRAM authentication in Kafka brokers. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. Procedure Edit or create the /opt/kafka/config/jaas.conf JAAS configuration file. Enable the ScramLoginModule for the KafkaServer context. Make sure this file is the same on all Kafka brokers. For example: Edit the /opt/kafka/config/server.properties Kafka configuration file on all cluster nodes for the following: Change the listener.security.protocol.map field to specify the SASL_PLAINTEXT or SASL_SSL protocol for the listener where you want to use SASL SCRAM authentication. Set the sasl.enabled.mechanisms option to SCRAM-SHA-256 or SCRAM-SHA-512 . For example: (Re)start the Kafka brokers using the KAFKA_OPTS environment variable to pass the JAAS configuration to Kafka brokers. Additional resources For more information about configuring AMQ Streams, see Section 2.8, "Configuring AMQ Streams" . For more information about running a Kafka cluster, see Section 4.5, "Running a multi-node Kafka cluster" . For more information about adding SASL SCRAM users, see Section 4.9.8, "Adding SASL SCRAM users" . For more information about deleting SASL SCRAM users, see Section 4.9.9, "Deleting SASL SCRAM users" . For more information about configuring SASL SCRAM authentication in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.9.8. Adding SASL SCRAM users This procedure describes how to add new users for authentication using SASL SCRAM. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. SASL SCRAM authentication is enabled . Procedure Use the kafka-configs.sh tool to add new SASL SCRAM users. bin/kafka-configs.sh --bootstrap-server <BrokerAddress> --alter --add-config 'SCRAM-SHA-512=[password= <Password> ]' --entity-type users --entity-name <Username> For example: Additional resources For more information about configuring SASL SCRAM authentication in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.9.9. Deleting SASL SCRAM users This procedure describes how to remove users when using SASL SCRAM authentication. Prerequisites AMQ Streams is installed on all hosts which will be used as Kafka brokers. SASL SCRAM authentication is enabled . Procedure Use the kafka-configs.sh tool to delete SASL SCRAM users. bin/kafka-configs.sh --bootstrap-server <BrokerAddress> --alter --delete-config 'SCRAM-SHA-512' --entity-type users --entity-name <Username> For example: Additional resources For more information about configuring SASL SCRAM authentication in clients, see: Appendix D, Producer configuration parameters Appendix C, Consumer configuration parameters 4.10. Using OAuth 2.0 token-based authentication AMQ Streams supports the use of OAuth 2.0 authentication using the SASL OAUTHBEARER mechanism. OAuth 2.0 enables standardized token based authentication and authorization between applications, using a central authorization server to issue tokens that grant limited access to resources. You can configure OAuth 2.0 authentication, then OAuth 2.0 authorization . OAuth 2.0 authentication can also be used in conjunction with ACL-based Kafka authorization regardless of the authorization server used. Using OAuth 2.0 token-based authentication, application clients can access resources on application servers (called resource servers ) without exposing account credentials. The application client passes an access token as a means of authenticating, which application servers can also use to determine the level of access to grant. The authorization server handles the granting of access and inquiries about access. In the context of AMQ Streams: Kafka brokers act as OAuth 2.0 resource servers Kafka clients act as OAuth 2.0 application clients Kafka clients authenticate to Kafka brokers. The brokers and clients communicate with the OAuth 2.0 authorization server, as necessary, to obtain or validate access tokens. For a deployment of AMQ Streams, OAuth 2.0 integration provides: Server-side OAuth 2.0 support for Kafka brokers Client-side OAuth 2.0 support for Kafka Mirror Maker, Kafka Connect and the Kafka Bridge Additional resources OAuth 2.0 site 4.10.1. OAuth 2.0 authentication mechanism The Kafka SASL OAUTHBEARER mechanism is used to establish authenticated sessions with a Kafka broker. A Kafka client initiates a session with the Kafka broker using the SASL OAUTHBEARER mechanism for credentials exchange, where credentials take the form of an access token. Kafka brokers and clients need to be configured to use OAuth 2.0. 4.10.1.1. Configuring OAuth 2.0 with properties or variables You can configure OAuth 2.0 settings using Java Authentication and Authorization Service (JAAS) properties or environment variables. JAAS properties are configured in the server.properties configuration file, and passed as key-values pairs of the listener.name. LISTENER-NAME .oauthbearer.sasl.jaas.config property. If using environment variables, you still need the listener.name. LISTENER-NAME .oauthbearer.sasl.jaas.config property in the server.properties file, but you can omit the other JAAS properties. You can use capitalized or upper-case environment variable naming conventions. The Kafka OAuth 2.0 library uses properties that start with oauth. to configure authentication, and properties that start with strimzi. to configure OAuth 2.0 authorization . 4.10.2. OAuth 2.0 Kafka broker configuration Kafka broker configuration for OAuth 2.0 involves: Creating the OAuth 2.0 client in the authorization server Configuring OAuth 2.0 authentication in the Kafka cluster Note In relation to the authorization server, Kafka brokers and Kafka clients are both regarded as OAuth 2.0 clients. 4.10.2.1. OAuth 2.0 client configuration on an authorization server To configure a Kafka broker to validate the token received during session initiation, the recommended approach is to create a OAuth 2.0 client definition in an authorization server, configured as confidential , with the following client credentials enabled: Client ID of kafka-broker (for example) Client ID and secret as the authentication mechanism Note You only need to use a client ID and secret when using a non-public introspection endpoint of the authorization server. The credentials are not typically required when using public authorization server endpoints, as with fast local JWT token validation. 4.10.2.2. OAuth 2.0 authentication configuration in the Kafka cluster To use OAuth 2.0 authentication in the Kafka cluster, you enable a listener configuration for your Kafka cluster in the Kafka server.properties file. A minimum configuration is required. You can also configure a TLS listener, where TLS is used for inter-broker communication. You can configure the broker for token validation by the authorization server using the: JWKS endpoint in combination with signed JWT-formatted access tokens Introspection endpoint The minimum configuration shown here applies a global listener configuration. This means that inter-broker communication goes through the same listener as application clients. To enable OAuth 2.0 configuration for a specific listener, you specify listener.name. LISTENER-NAME .sasl.enabled.mechanisms instead of sasl.enabled.mechanisms , which is shown in the listener configuration examples below. LISTENER-NAME is the name of the listener (case insensitive). In the example below, we name the listener CLIENT , so the property name will be listener.name.client.sasl.enabled.mechanisms . Minimum listener configuration for OAuth 2.0 authentication using a JWKS endpoint sasl.enabled.mechanisms=OAUTHBEARER 1 listeners=CLIENT://0.0.0.0:9092 2 listener.security.protocol.map=CLIENT:SASL_PLAINTEXT 3 listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER 4 sasl.mechanism.inter.broker.protocol=OAUTHBEARER 5 inter.broker.listener.name=CLIENT 6 listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler 7 listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ 8 oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " \ 9 oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" \ 10 oauth.username.claim="preferred_username" \ 11 oauth.client.id="kafka-broker" \ 12 oauth.client.secret="kafka-secret" \ 13 oauth.token.endpoint.uri="https:// AUTH-SERVER-ADDRESS /token" ; 14 listener.name.client.oauthbearer.sasl.login.callback.handler.class=io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler 15 listener.name.client.oauthbearer.connections.max.reauth.ms=3600000 16 1 Enables the OAUTHBEARER as SASL mechanism for credentials exchange over SASL. 2 Configures a listener for client applications to connect to. The system hostname is used as an advertised hostname, which clients must resolve in order to reconnect. The listener is named CLIENT in this example. 3 Specifies the channel protocol for the listener. SASL_SSL is for TLS. SASL_PLAINTEXT is used for an unencrypted connection (no TLS), but there is risk of eavesdropping and interception at the TCP connection layer. 4 Specifies OAUTHBEARER as SASL for the CLIENT listener. The client name ( CLIENT ) is usually specified in uppercase in the listeners property, and in lowercase for listener.name properties ( listener.name.client ). and in lowercase when part of a listener.name. client .* property. 5 Specifies OAUTHBEARER as SASL for inter-broker communication. 6 Specifies the listener for inter-broker communication. The specification is required for the configuration to be valid. 7 Configures OAuth 2.0 authentication on the client listener. 8 Configures authentication settings for client and inter-broker communication. The oauth.client.id , oauth.client.secret , and auth.token.endpoint.uri properties relate to inter-broker configuration. 9 A valid issuer URI. Only access tokens issued by this issuer will be accepted. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME . 10 The JWKS endpoint URL. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/certs . 11 The token claim (or key) that contains the actual user name in the token. The user name is the principal used to identify the user. The value will depend on the authentication flow and the authorization server used. 12 Client ID of the Kafka broker, which is the same for all brokers. This is the client registered with the authorization server as kafka-broker . 13 Secret for the Kafka broker, which is the same for all brokers. 14 The OAuth 2.0 token endpoint URL to your authorization server. For production, always use HTTPs. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token . 15 Enables (and is only required for) OAuth 2.0 authentication for inter-broker communication. 16 (Optional) Enforces session expiry when token expires, and also activates the Kafka re-authentication mechanism . If the specified value is less than the time left for the access token to expire, then the client will have to re-authenticate before the actual token expiry. By default, the session does not expire when the access token expires, and the client does not attempt re-authentication. TLS listener configuration for OAuth 2.0 authentication sasl.enabled.mechanisms= listeners=REPLICATION://kafka:9091,CLIENT://kafka:9092 1 listener.security.protocol.map=REPLICATION:SSL,CLIENT:SASL_PLAINTEXT 2 listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER inter.broker.listener.name=REPLICATION listener.name.replication.ssl.keystore.password= KEYSTORE-PASSWORD 3 listener.name.replication.ssl.truststore.password= TRUSTSTORE-PASSWORD listener.name.replication.ssl.keystore.type=JKS listener.name.replication.ssl.truststore.type=JKS listener.name.replication.ssl.endpoint.identification.algorithm=HTTPS 4 listener.name.replication.ssl.secure.random.implementation=SHA1PRNG 5 listener.name.replication.ssl.keystore.location= PATH-TO-KEYSTORE 6 listener.name.replication.ssl.truststore.location= PATH-TO-TRUSTSTORE 7 listener.name.replication.ssl.client.auth=required 8 listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " \ oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" \ oauth.username.claim="preferred_username" ; 9 1 Separate configurations are required for inter-broker communication and client applications. 2 Configures the REPLICATION listener to use TLS, and the CLIENT listener to use SASL over an unencrypted channel. The client could use an encrypted channel ( SASL_SSL ) in a production environment. 3 The ssl. properties define the TLS configuration. 4 Random number generator implementation. If not set, the Java platform SDK default is used. 5 Hostname verification. If set to an empty string, the hostname verification is turned off. If not set, the default value is HTTPS, which enforces hostname verification for server certificates. 6 Path to the keystore for the listener. 7 Path to the truststore for the listener. 8 Specifies that clients of the REPLICATION listener have to authenticate with a client certificate when establishing a TLS connection (used for inter-broker connectivity). 9 Configures the CLIENT listener for OAuth 2.0. Connectivity with the authorization server should use secure HTTPS connections. 4.10.2.3. Fast local JWT token validation configuration Fast local JWT token validation checks a JWT token signature locally. The local check ensures that a token: Conforms to type by containing a ( typ ) claim value of Bearer for an access token Is valid (not expired) Has an issuer that matches a validIssuerURI You specify a valid issuer URI when you configure the listener, so that any tokens not issued by the authorization server are rejected. The authorization server does not need to be contacted during fast local JWT token validation. You activate fast local JWT token validation by specifying a JWKs endpoint URI exposed by the OAuth 2.0 authorization server. The endpoint contains the public keys used to validate signed JWT tokens, which are sent as credentials by Kafka clients. Note All communication with the authorization server should be performed using HTTPS. For a TLS listener, you can configure a certificate truststore and point to the truststore file. Example properties for fast local JWT token validation listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " \ 1 oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" \ 2 oauth.jwks.refresh.seconds=" 300 " \ 3 oauth.jwks.refresh.min.pause.seconds=" 1 " \ 4 oauth.jwks.expiry.seconds=" 360 " \ 5 oauth.username.claim="preferred_username" \ 6 oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ 7 oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ 8 oauth.ssl.truststore.type="PKCS12" ; 9 1 A valid issuer URI. Only access tokens issued by this issuer will be accepted. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME . 2 The JWKS endpoint URL. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/certs . 3 The period between endpoint refreshes (default 300). 4 The minimum pause in seconds between consecutive attempts to refresh JWKS public keys. When an unknown signing key is encountered, the JWKS keys refresh is scheduled outside the regular periodic schedule with at least the specified pause since the last refresh attempt. The refreshing of keys follows the rule of exponential backoff, retrying on unsuccessful refreshes with ever increasing pause, until it reaches oauth.jwks.refresh.seconds . The default value is 1. 5 The duration the JWKs certificates are considered valid before they expire. Default is 360 seconds. If you specify a longer time, consider the risk of allowing access to revoked certificates. 6 The token claim (or key) that contains the actual user name in the token. The user name is the principal used to identify the user. The value will depend on the authentication flow and the authorization server used. 7 The location of the truststore used in the TLS configuration. 8 Password to access the truststore. 9 The truststore type in PKCS #12 format. 4.10.2.4. OAuth 2.0 introspection endpoint configuration Token validation using an OAuth 2.0 introspection endpoint treats a received access token as opaque. The Kafka broker sends an access token to the introspection endpoint, which responds with the token information necessary for validation. Importantly, it returns up-to-date information if the specific access token is valid, and also information about when the token expires. To configure OAuth 2.0 introspection-based validation, you specify an introspection endpoint URI rather than the JWKs endpoint URI specified for fast local JWT token validation. Depending on the authorization server, you typically have to specify a client ID and client secret , because the introspection endpoint is usually protected. Example properties for an introspection endpoint listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ oauth.introspection.endpoint.uri="https:// AUTH-SERVER-ADDRESS /introspection" \ 1 oauth.client.id="kafka-broker" \ 2 oauth.client.secret="kafka-broker-secret" \ 3 oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ 4 oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ 5 oauth.ssl.truststore.type="PKCS12" \ 6 oauth.username.claim="preferred_username" ; 7 1 The OAuth 2.0 introspection endpoint URI. For example, https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token/introspect . 2 Client ID of the Kafka broker. 3 Secret for the Kafka broker. 4 The location of the truststore used in the TLS configuration. 5 Password to access the truststore. 6 The truststore type in PKCS #12 format. 7 The token claim (or key) that contains the actual user name in the token. The user name is the principal used to identify the user. The value of oauth.username.claim depends on the authorization server used. 4.10.3. Session re-authentication for Kafka brokers The Kafka SASL OAUTHBEARER mechanism, which is used for OAuth 2.0 authentication in AMQ Streams, supports a Kafka feature called the re-authentication mechanism. When the re-authentication mechanism is enabled through a listener configuration, the broker's authenticated session expires when the access token expires. The client must then re-authenticate to the existing session by sending a new, valid access token to the broker, without dropping the connection. If token validation is successful, a new client session is started using the existing connection. If the client fails to re-authenticate, the broker will close the connection if further attempts are made to send or receive messages. Java clients that use Kafka client library 2.2 or later automatically re-authenticate if the re-authentication mechanism is enabled on the broker. You enable session re-authentication for a Kafka broker in the Kafka server.properties file. Set the connections.max.reauth.ms property for a TLS listener with OAUTHBEARER enabled as the SASL mechanism. You can specify session re-authentication per listener. For example: Session re-authentication is supported for both types of token validation (fast local JWT and introspection endpoint). For an example configuration, see Section 4.10.6.2, "Configuring OAuth 2.0 support for Kafka brokers" . For more information about the re-authentication mechanism, which was added in Kafka version 2.2, see KIP-368 . Additional resources Section 4.10.2, "OAuth 2.0 Kafka broker configuration" Section 4.10.6.2, "Configuring OAuth 2.0 support for Kafka brokers" 4.10.4. OAuth 2.0 Kafka client configuration A Kafka client is configured with either: The Credentials required to obtain a valid access token from an authorization server (client ID and Secret) A valid long-lived access token or refresh token, obtained using tools provided by an authorization server Credentials are never sent to the Kafka broker. The only information ever sent to the Kafka broker is an access token. When a client obtains an access token, no further communication with the authorization server is needed. The simplest mechanism is authentication with a client ID and Secret. Using a long-lived access token, or a long-lived refresh token, adds more complexity because there is additional dependency on authorization server tools. Note If you are using long-lived access tokens, you may need to configure the client in the authorization server to increase the maximum lifetime of the token. If the Kafka client is not configured with an access token directly, the client exchanges credentials for an access token during Kafka session initiation by contacting the authorization server. The Kafka client exchanges either: Client ID and Secret Client ID, refresh token, and (optionally) a Secret 4.10.5. OAuth 2.0 client authentication flow In this section, we explain and visualize the communication flow between Kafka client, Kafka broker, and authorization server during Kafka session initiation. The flow depends on the client and server configuration. When a Kafka client sends an access token as credentials to a Kafka broker, the token needs to be validated. Depending on the authorization server used, and the configuration options available, you may prefer to use: Fast local token validation based on JWT signature checking and local token introspection, without contacting the authorization server An OAuth 2.0 introspection endpoint provided by the authorization server Using fast local token validation requires the authorization server to provide a JWKS endpoint with public certificates that are used to validate signatures on the tokens. Another option is to use an OAuth 2.0 introspection endpoint on the authorization server. Each time a new Kafka broker connection is established, the broker passes the access token received from the client to the authorization server, and checks the response to confirm whether or not the token is valid. Kafka client credentials can also be configured for: Direct local access using a previously generated long-lived access token Contact with the authorization server for a new access token to be issued Note An authorization server might only allow the use of opaque access tokens, which means that local token validation is not possible. 4.10.5.1. Example client authentication flows Here you can see the communication flows, for different configurations of Kafka clients and brokers, during Kafka session authentication. Client using client ID and secret, with broker delegating validation to authorization server Client using client ID and secret, with broker performing fast local token validation Client using long-lived access token, with broker delegating validation to authorization server Client using long-lived access token, with broker performing fast local validation Client using client ID and secret, with broker delegating validation to authorization server Kafka client requests access token from authorization server, using client ID and secret, and optionally a refresh token. Authorization server generates a new access token. Kafka client authenticates with the Kafka broker using the SASL OAUTHBEARER mechanism to pass the access token. Kafka broker validates the access token by calling a token introspection endpoint on authorization server, using its own client ID and secret. Kafka client session is established if the token is valid. Client using client ID and secret, with broker performing fast local token validation Kafka client authenticates with authorization server from the token endpoint, using a client ID and secret, and optionally a refresh token. Authorization server generates a new access token. Kafka client authenticates with the Kafka broker using the SASL OAUTHBEARER mechanism to pass the access token. Kafka broker validates the access token locally using a JWT token signature check, and local token introspection. Client using long-lived access token, with broker delegating validation to authorization server Kafka client authenticates with the Kafka broker using the SASL OAUTHBEARER mechanism to pass the long-lived access token. Kafka broker validates the access token by calling a token introspection endpoint on authorization server, using its own client ID and secret. Kafka client session is established if the token is valid. Client using long-lived access token, with broker performing fast local validation Kafka client authenticates with the Kafka broker using the SASL OAUTHBEARER mechanism to pass the long-lived access token. Kafka broker validates the access token locally using JWT token signature check, and local token introspection. Warning Fast local JWT token signature validation is suitable only for short-lived tokens as there is no check with the authorization server if a token has been revoked. Token expiration is written into the token, but revocation can happen at any time, so cannot be accounted for without contacting the authorization server. Any issued token would be considered valid until it expires. 4.10.6. Configuring OAuth 2.0 authentication OAuth 2.0 is used for interaction between Kafka clients and AMQ Streams components. In order to use OAuth 2.0 for AMQ Streams, you must: Configure an OAuth 2.0 authorization server for the AMQ Streams cluster and Kafka clients Deploy or update the Kafka cluster with Kafka broker listeners configured to use OAuth 2.0 Update your Java-based Kafka clients to use OAuth 2.0 4.10.6.1. Configuring Red Hat Single Sign-On as an OAuth 2.0 authorization server This procedure describes how to deploy Red Hat Single Sign-On as an authorization server and configure it for integration with AMQ Streams. The authorization server provides a central point for authentication and authorization, and management of users, clients, and permissions. Red Hat Single Sign-On has a concept of realms where a realm represents a separate set of users, clients, permissions, and other configuration. You can use a default master realm , or create a new one. Each realm exposes its own OAuth 2.0 endpoints, which means that application clients and application servers all need to use the same realm. To use OAuth 2.0 with AMQ Streams, you need a deployment of an authorization server to be able to create and manage authentication realms. Note If you already have Red Hat Single Sign-On deployed, you can skip the deployment step and use your current deployment. Before you begin You will need to be familiar with using Red Hat Single Sign-On. For installation and administration instructions, see: Server Installation and Configuration Guide Server Administration Guide Prerequisites AMQ Streams and Kafka are running For the Red Hat Single Sign-On deployment: Check the Red Hat Single Sign-On Supported Configurations Procedure Install Red Hat Single Sign-On. You can install from a ZIP file or by using an RPM. Log in to the Red Hat Single Sign-On Admin Console to create the OAuth 2.0 policies for AMQ Streams. Login details are provided when you deploy Red Hat Single Sign-On. Create and enable a realm. You can use an existing master realm. Adjust the session and token timeouts for the realm, if required. Create a client called kafka-broker . From the Settings tab, set: Access Type to Confidential Standard Flow Enabled to OFF to disable web login for this client Service Accounts Enabled to ON to allow this client to authenticate in its own name Click Save before continuing. From the Credentials tab, take a note of the secret for using in your AMQ Streams Kafka cluster configuration. Repeat the client creation steps for any application client that will connect to your Kafka brokers. Create a definition for each new client. You will use the names as client IDs in your configuration. What to do After deploying and configuring the authorization server, configure the Kafka brokers to use OAuth 2.0 . 4.10.6.2. Configuring OAuth 2.0 support for Kafka brokers This procedure describes how to configure Kafka brokers so that the broker listeners are enabled to use OAuth 2.0 authentication using an authorization server. We advise use of OAuth 2.0 over an encrypted interface through configuration of TLS listeners. Plain listeners are not recommended. Configure the Kafka brokers using properties that support your chosen authorization server, and the type of authorization you are implementing. Before you start For more information on the configuration and authentication of Kafka broker listeners, see: Listeners Encryption and authentication For a description of the properties used in the listener configuration, see: OAuth 2.0 Kafka broker configuration Prerequisites AMQ Streams and Kafka are running An OAuth 2.0 authorization server is deployed Procedure Configure the Kafka broker listener configuration in the server.properties file. For example: sasl.enabled.mechanisms=OAUTHBEARER listeners=CLIENT://0.0.0.0:9092 listener.security.protocol.map=CLIENT:SASL_PLAINTEXT listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER sasl.mechanism.inter.broker.protocol=OAUTHBEARER inter.broker.listener.name=CLIENT listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required ; listener.name.client.oauthbearer.sasl.login.callback.handler.class=io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler Configure broker connection settings as part of the listener.name.client.oauthbearer.sasl.jaas.config . The examples here show connection configuration options. Example 1: Local token validation using a JWKS endpoint configuration listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ oauth.valid.issuer.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME " \ oauth.jwks.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/certs " \ oauth.jwks.refresh.seconds=" 300 " \ oauth.jwks.refresh.min.pause.seconds=" 1 " \ oauth.jwks.expiry.seconds=" 360 " \ oauth.username.claim="preferred_username" \ oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ oauth.ssl.truststore.type="PKCS12" ; listener.name.client.oauthbearer.connections.max.reauth.ms=3600000 Example 2: Delegating token validation to the authorization server through the OAuth 2.0 introspection endpoint listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ oauth.introspection.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/introspection " \ # ... If required, configure access to the authorization server. This step is normally required for a production environment, unless a technology like service mesh is used to configure secure channels outside containers. Provide a custom truststore for connecting to a secured authorization server. SSL is always required for access to the authorization server. Set properties to configure the truststore. For example: listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ # ... oauth.client.id="kafka-broker" \ oauth.client.secret="kafka-broker-secret" \ oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ oauth.ssl.truststore.type="PKCS12" ; If the certificate hostname does not match the access URL hostname, you can turn off certificate hostname validation: oauth.ssl.endpoint.identification.algorithm="" The check ensures that client connection to the authorization server is authentic. You may wish to turn off the validation in a non-production environment. Configure additional properties according to your chosen authentication flow. listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ # ... oauth.token.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token " \ 1 oauth.valid.issuer.uri="https:// https://AUTH-SERVER-ADDRESS/auth/REALM-NAME " \ 2 oauth.client.id="kafka-broker" \ 3 oauth.client.secret="kafka-broker-secret" \ 4 oauth.refresh.token=" REFRESH-TOKEN-FOR-KAFKA-BROKERS " \ 5 oauth.access.token=" ACCESS-TOKEN-FOR-KAFKA-BROKERS " ; 6 1 The OAuth 2.0 token endpoint URL to your authorization server. For production, always use HTTPs. Required when KeycloakRBACAuthorizer is used, or an OAuth 2.0 enabled listener is used for inter-broker communication. 2 A valid issuer URI. Only access tokens issued by this issuer will be accepted. (Always required.) 3 The configured client ID of the Kafka broker, which is the same for all brokers. This is the client registered with the authorization server as kafka-broker . Required when an introspection endpoint is used for token validation, or when KeycloakRBACAuthorizer is used. 4 The configured secret for the Kafka broker, which is the same for all brokers. When the broker must authenticate to the authorization server, either a client secret, access token or a refresh token has to be specified. 5 (Optional) A long-lived refresh token for Kafka brokers. 6 (Optional) A long-lived access token for Kafka brokers. Depending on how you apply OAuth 2.0 authentication, and the type of authorization server being used, add additional configuration settings: listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ # ... oauth.check.issuer=false \ 1 oauth.fallback.username.claim=" CLIENT-ID " \ 2 oauth.fallback.username.prefix=" CLIENT-ACCOUNT " \ 3 oauth.valid.token.type="bearer" \ 4 oauth.userinfo.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/userinfo " ; 5 1 If your authorization server does not provide an iss claim, it is not possible to perform an issuer check. In this situation, set oauth.check.issuer to false and do not specify a oauth.valid.issuer.uri . Default is true . 2 An authorization server may not provide a single attribute to identify both regular users and clients. When a client authenticates in its own name, the server might provide a client ID . When a user authenticates using a username and password, to obtain a refresh token or an access token, the server might provide a username attribute in addition to a client ID. Use this fallback option to specify the username claim (attribute) to use if a primary user ID attribute is not available. 3 In situations where oauth.fallback.username.claim is applicable, it may also be necessary to prevent name collisions between the values of the username claim, and those of the fallback username claim. Consider a situation where a client called producer exists, but also a regular user called producer exists. In order to differentiate between the two, you can use this property to add a prefix to the user ID of the client. 4 (Only applicable when using oauth.introspection.endpoint.uri ) Depending on the authorization server you are using, the introspection endpoint may or may not return the token type attribute, or it may contain different values. You can specify a valid token type value that the response from the introspection endpoint has to contain. 5 (Only applicable when using oauth.introspection.endpoint.uri ) The authorization server may be configured or implemented in such a way to not provide any identifiable information in an introspection endpoint response. In order to obtain the user ID, you can configure the URI of the userinfo endpoint as a fallback. The oauth.fallback.username.claim , oauth.fallback.username.claim , and oauth.fallback.username.prefix settings are applied to the response of the userinfo endpoint. What to do Configure your Kafka clients to use OAuth 2.0 4.10.6.3. Configuring Kafka Java clients to use OAuth 2.0 This procedure describes how to configure Kafka producer and consumer APIs to use OAuth 2.0 for interaction with Kafka brokers. Add a client callback plugin to your pom.xml file, and configure the system properties. Prerequisites AMQ Streams and Kafka are running An OAuth 2.0 authorization server is deployed and configured for OAuth access to Kafka brokers Kafka brokers are configured for OAuth 2.0 Procedure Add the client library with OAuth 2.0 support to the pom.xml file for the Kafka client: <dependency> <groupId>io.strimzi</groupId> <artifactId>kafka-oauth-client</artifactId> <version>0.6.1.redhat-00003</version> </dependency> Configure the system properties for the callback: For example: System.setProperty(ClientConfig.OAUTH_TOKEN_ENDPOINT_URI, " https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token "); 1 System.setProperty(ClientConfig.OAUTH_CLIENT_ID, " CLIENT-NAME "); 2 System.setProperty(ClientConfig.OAUTH_CLIENT_SECRET, " CLIENT_SECRET "); 3 System.setProperty(ClientConfig.OAUTH_SCOPE, " SCOPE-VALUE ") 4 1 URI of the authorization server token endpoint. 2 Client ID, which is the name used when creating the client in the authorization server. 3 Client secret created when creating the client in the authorization server. 4 (Optional) The scope for requesting the token from the token endpoint. An authorization server may require a client to specify the scope. Enable the SASL OAUTHBEARER mechanism on a TLS encrypted connection in the Kafka client configuration: For example: props.put("sasl.jaas.config", "org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required;"); props.put("security.protocol", "SASL_SSL"); 1 props.put("sasl.mechanism", "OAUTHBEARER"); props.put("sasl.login.callback.handler.class", "io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler"); 1 Here we use SASL_SSL for use over TLS connections. Use SASL_PLAINTEXT over unencrypted connections. Verify that the Kafka client can access the Kafka brokers. 4.11. Using OAuth 2.0 token-based authorization If you are using OAuth 2.0 with Red Hat Single Sign-On for token-based authentication, you can also use Red Hat Single Sign-On to configure authorization rules to constrain client access to Kafka brokers. Authentication establishes the identity of a user. Authorization decides the level of access for that user. AMQ Streams supports the use of OAuth 2.0 token-based authorization through Red Hat Single Sign-On Authorization Services , which allows you to manage security policies and permissions centrally. Security policies and permissions defined in Red Hat Single Sign-On are used to grant access to resources on Kafka brokers. Users and clients are matched against policies that permit access to perform specific actions on Kafka brokers. Kafka allows all users full access to brokers by default, and also provides the AclAuthorizer plugin to configure authorization based on Access Control Lists (ACLs). ZooKeeper stores ACL rules that grant or deny access to resources based on username . However, OAuth 2.0 token-based authorization with Red Hat Single Sign-On offers far greater flexibility on how you wish to implement access control to Kafka brokers. In addition, you can configure your Kafka brokers to use OAuth 2.0 authorization and ACLs. Additional resources Using OAuth 2.0 token-based authentication Kafka Authorization Red Hat Single Sign-On documentation 4.11.1. OAuth 2.0 authorization mechanism OAuth 2.0 authorization in AMQ Streams uses Red Hat Single Sign-On server Authorization Services REST endpoints to extend token-based authentication with Red Hat Single Sign-On by applying defined security policies on a particular user, and providing a list of permissions granted on different resources for that user. Policies use roles and groups to match permissions to users. OAuth 2.0 authorization enforces permissions locally based on the received list of grants for the user from Red Hat Single Sign-On Authorization Services. 4.11.1.1. Kafka broker custom authorizer A Red Hat Single Sign-On authorizer ( KeycloakRBACAuthorizer ) is provided with AMQ Streams. To be able to use the Red Hat Single Sign-On REST endpoints for Authorization Services provided by Red Hat Single Sign-On, you configure a custom authorizer on the Kafka broker. The authorizer fetches a list of granted permissions from the authorization server as needed, and enforces authorization locally on the Kafka Broker, making rapid authorization decisions for each client request. 4.11.2. Configuring OAuth 2.0 authorization support This procedure describes how to configure Kafka brokers to use OAuth 2.0 authorization using Red Hat Single Sign-On Authorization Services. Before you begin Consider the access you require or want to limit for certain users. You can use a combination of Red Hat Single Sign-On groups , roles , clients , and users to configure access in Red Hat Single Sign-On. Typically, groups are used to match users based on organizational departments or geographical locations. And roles are used to match users based on their function. With Red Hat Single Sign-On, you can store users and groups in LDAP, whereas clients and roles cannot be stored this way. Storage and access to user data may be a factor in how you choose to configure authorization policies. Note Super users always have unconstrained access to a Kafka broker regardless of the authorization implemented on the Kafka broker. Prerequisites AMQ Streams must be configured to use OAuth 2.0 with Red Hat Single Sign-On for token-based authentication . You use the same Red Hat Single Sign-On server endpoint when you set up authorization. You need to understand how to manage policies and permissions for Red Hat Single Sign-On Authorization Services, as described in the Red Hat Single Sign-On documentation . Procedure Access the Red Hat Single Sign-On Admin Console or use the Red Hat Single Sign-On Admin CLI to enable Authorization Services for the Kafka broker client you created when setting up OAuth 2.0 authentication. Use Authorization Services to define resources, authorization scopes, policies, and permissions for the client. Bind the permissions to users and clients by assigning them roles and groups. Configure the Kafka brokers to use Red Hat Single Sign-On authorization. Add the following to the Kafka server.properties configuration file to install the authorizer in Kafka: authorizer.class.name=io.strimzi.kafka.oauth.server.authorizer.KeycloakRBACAuthorizer principal.builder.class=io.strimzi.kafka.oauth.server.authorizer.JwtKafkaPrincipalBuilder Add configuration for the Kafka brokers to access the authorization server and Authorization Services. Here we show example configuration added as additional properties to server.properties , but you can also define them as environment variables using capitalized or upper-case naming conventions. strimzi.authorization.token.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token " 1 strimzi.authorization.client.id="kafka" 2 1 The OAuth 2.0 token endpoint URL to Red Hat Single Sign-On. For production, always use HTTPs. 2 The client ID of the OAuth 2.0 client definition in Red Hat Single Sign-On that has Authorization Services enabled. Typically, kafka is used as the ID. (Optional) Add configuration for specific Kafka clusters. For example: strimzi.authorization.kafka.cluster.name="kafka-cluster" 1 1 The name of a specific Kafka cluster. Names are used to target permissions, making it possible to manage multiple clusters within the same Red Hat Single Sign-On realm. The default value is kafka-cluster . (Optional) Delegate to simple authorization. For example: strimzi.authorization.delegate.to.kafka.acl="false" 1 1 Delegate authorization to Kafka AclAuthorizer if access is denied by Red Hat Single Sign-On Authorization Services policies. The default is false . (Optional) Add configuration for TLS connection to the authorization server. For example: strimzi.authorization.ssl.truststore.location= <path-to-truststore> 1 strimzi.authorization.ssl.truststore.password= <my-truststore-password> 2 strimzi.authorization.ssl.truststore.type=JKS 3 strimzi.authorization.ssl.secure.random.implementation=SHA1PRNG 4 strimzi.authorization.ssl.endpoint.identification.algorithm=HTTPS 5 1 The path to the truststore that contain the certificates. 2 The password for the truststore. 3 The truststore type. If not set, the default Java keystore type is used. 4 Random number generator implementation. If not set, the Java platform SDK default is used. 5 Hostname verification. If set to an empty string, the hostname verification is turned off. If not set, the default value is HTTPS , which enforces hostname verification for server certificates. (Optional) Configure the refresh of grants from the authorization server. The grants refresh job works by enumerating the active tokens and requesting the latest grants for each. For example: strimzi.authorization.grants.refresh.period.seconds="120" 1 strimzi.authorization.grants.refresh.pool.size="10" 2 1 Specifies how often the list of grants from the authorization server is refreshed (once per minute by default). To turn grants refresh off for debugging purposes, set to "0" . 2 Specifies the size of the thread pool (the degree of parallelism) used by the grants refresh job. The default value is "5" . Verify the configured permissions by accessing Kafka brokers as clients or users with specific roles, making sure they have the necessary access, or do not have the access they are not supposed to have. 4.12. Using OPA policy-based authorization Open Policy Agent (OPA) is an open-source policy engine. You can integrate OPA with AMQ Streams to act as a policy-based authorization mechanism for permitting client operations on Kafka brokers. When a request is made from a client, OPA will evaluate the request against policies defined for Kafka access, then allow or deny the request. Note Red Hat does not support the OPA server. Additional resources Open Policy Agent website 4.12.1. Defining OPA policies Before integrating OPA with AMQ Streams, consider how you will define policies to provide fine-grained access controls. You can define access control for Kafka clusters, consumer groups and topics. For instance, you can define an authorization policy that allows write access from a producer client to a specific broker topic. For this, the policy might specify the: User principal and host address associated with the producer client Operations allowed for the client Resource type ( topic ) and resource name the policy applies to Allow and deny decisions are written into the policy, and a response is provided based on the request and client identification data provided. In our example the producer client would have to satisfy the policy to be allowed to write to the topic. 4.12.2. Connecting to the OPA To enable Kafka to access the OPA policy engine to query access control policies, , you configure a custom OPA authorizer plugin ( kafka-authorizer-opa- VERSION .jar ) in your Kafka server.properties file. When a request is made by a client, the OPA policy engine is queried by the plugin using a specified URL address and a REST endpoint, which must be the name of the defined policy. The plugin provides the details of the client request - user principal, operation, and resource - in JSON format to be checked against the policy. The details will include the unique identity of the client; for example, taking the distinguished name from the client certificate if TLS authentication is used. OPA uses the data to provide a response - either true or false - to the plugin to allow or deny the request. 4.12.3. Configuring OPA authorization support This procedure describes how to configure Kafka brokers to use OPA authorization. Before you begin Consider the access you require or want to limit for certain users. You can use a combination of users and Kafka resources to define OPA policies. It is possible to set up OPA to load user information from an LDAP data source. Note Super users always have unconstrained access to a Kafka broker regardless of the authorization implemented on the Kafka broker. Prerequisites An OPA server must be available for connection. OPA authorizer plugin for Kafka Procedure Write the OPA policies required for authorizing client requests to perform operations on the Kafka brokers. See Defining OPA policies . Now configure the Kafka brokers to use OPA. Install the OPA authorizer plugin for Kafka . See Connecting to the OPA . Make sure that the plugin files are included in the Kafka classpath. Add the following to the Kafka server.properties configuration file to enable the OPA plugin: authorizer.class.name: com.bisnode.kafka.authorization.OpaAuthorizer Add further configuration to server.properties for the Kafka brokers to access the OPA policy engine and policies. For example: opa.authorizer.url=https:// OPA-ADDRESS /allow 1 opa.authorizer.allow.on.error=false 2 opa.authorizer.cache.initial.capacity=50000 3 opa.authorizer.cache.maximum.size=50000 4 opa.authorizer.cache.expire.after.seconds=600000 5 super.users=User:alice;User:bob 6 1 (Required) The OAuth 2.0 token endpoint URL for the policy the authorizer plugin will query. In this example, the policy is called allow . 2 Flag to specify whether a client is allowed or denied access by default if the authorizer plugin fails to connect with the OPA policy engine. 3 Initial capacity in bytes of the local cache. The cache is used so that the plugin does not have to query the OPA policy engine for every request. 4 Maximum capacity in bytes of the local cache. 5 Time in milliseconds that the local cache is refreshed by reloading from the OPA policy engine. 6 A list of user principals treated as super users, so that they are always allowed without querying the Open Policy Agent policy. Refer to the Open Policy Agent website for information on authentication and authorization options. Verify the configured permissions by accessing Kafka brokers using clients that have and do not have the correct authorization. 4.13. Logging Kafka brokers use Log4j as their logging infrastructure. By default, the logging configuration is read from the log4j.properties configuration file, which should be placed either in the /opt/kafka/config/ directory or on the classpath. The location and name of the configuration file can be changed using the Java property log4j.configuration , which can be passed to Kafka by using the KAFKA_LOG4J_OPTS environment variable: For more information about Log4j configurations, see the Log4j manual . 4.13.1. Dynamically change logging levels for Kafka broker loggers Kafka broker logging is provided by multiple broker loggers in each broker. You can dynamically change the logging level for broker loggers without having to restart the broker. Increasing the level of detail returned in logs- by changing from INFO to DEBUG , for example- is useful for investigating performance issues in a Kafka cluster. Broker loggers can also be dynamically reset to their default logging levels. Prerequisites AMQ Streams is installed on the host ZooKeeper and Kafka are running Procedure Switch to the kafka user: su - kafka List all the broker loggers for a broker by using the kafka-configs.sh tool: /opt/kafka/bin/kafka-configs.sh --bootstrap-server BOOTSTRAP-ADDRESS --describe --entity-type broker-loggers --entity-name BROKER-ID For example, for broker 0 : /opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --describe --entity-type broker-loggers --entity-name 0 This returns the logging level for each logger: TRACE , DEBUG , INFO , WARN , ERROR , or FATAL . For example: #... kafka.controller.ControllerChannelManager=INFO sensitive=false synonyms={} kafka.log.TimeIndex=INFO sensitive=false synonyms={} Change the logging level for one or more broker loggers. Use the --alter and --add-config options and specify each logger and its level as a comma-separated list in double quotes. /opt/kafka/bin/kafka-configs.sh --bootstrap-server BOOTSTRAP-ADDRESS --alter --add-config " LOGGER-ONE=NEW-LEVEL , LOGGER-TWO=NEW-LEVEL " --entity-type broker-loggers --entity-name BROKER-ID For example, for broker 0 : /opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --add-config "kafka.controller.ControllerChannelManager=WARN,kafka.log.TimeIndex=WARN" --entity-type broker-loggers --entity-name 0 If successful this returns: Completed updating config for broker: 0. Resetting a broker logger You can reset one or more broker loggers to their default logging levels by using the kafka-configs.sh tool. Use the --alter and --delete-config options and specify each broker logger as a comma-separated list in double quotes: /opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --delete-config " LOGGER-ONE , LOGGER-TWO " --entity-type broker-loggers --entity-name BROKER-ID Additional resources Updating Broker Configs in the Apache Kafka documentation.

Commands:
zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181
zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181/my-cluster-1
listeners=INT1://:9092,INT2://:9093,REPLICATION://:9094
listeners=INT1://:9092,INT2://:9093 advertised.listeners=INT1://my-broker-1.my-domain.com:1234,INT2://my-broker-1.my-domain.com:1234:9093
inter.broker.listener.name=REPLICATION
log.dirs=/var/lib/kafka
log.dirs=/var/lib/kafka1,/var/lib/kafka2,/var/lib/kafka3
broker.id=1
broker.id=0 zookeeper.connect=zoo1.my-domain.com:2181,zoo2.my-domain.com:2181,zoo3.my-domain.com:2181 listeners=REPLICATION://:9091,PLAINTEXT://:9092 inter.broker.listener.name=REPLICATION log.dirs=/var/lib/kafka
su - kafka /opt/kafka/bin/kafka-server-start.sh -daemon /opt/kafka/config/server.properties
jcmd | grep Kafka
echo dump | ncat zoo1.my-domain.com 2181
SessionTracker dump: org.apache.zookeeper.server.quorum.LearnerSessionTracker@28848ab9 ephemeral nodes dump: Sessions with Ephemerals (3): 0x20000015dd00000: /brokers/ids/1 0x10000015dc70000: /controller /brokers/ids/0 0x10000015dc70001: /brokers/ids/2
Client { org.apache.kafka.common.security.plain.PlainLoginModule required username="kafka" password="123456"; };
Client { org.apache.kafka.common.security.plain.PlainLoginModule required username=" <Username> " password=" <Password> "; };
Client { org.apache.kafka.common.security.plain.PlainLoginModule required username="kafka" password="123456"; };
su - kafka export KAFKA_OPTS="-Djava.security.auth.login.config=/opt/kafka/config/jaas.conf"; /opt/kafka/bin/kafka-server-start.sh -daemon /opt/kafka/config/server.properties
authorizer.class.name=kafka.security.auth.SimpleAclAuthorizer
super.users=User:admin,User:operator
authorizer.class.name=kafka.security.auth.SimpleAclAuthorizer
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Read --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Describe --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Read --operation Describe --group MyConsumerGroup --allow-principal User:user1 --allow-principal User:user2
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --operation Describe --operation Read --topic myTopic --group MyConsumerGroup --deny-principal User:user1 --deny-host 127.0.0.1
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --add --consumer --topic myTopic --group MyConsumerGroup --allow-principal User:user1
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --list --topic myTopic Current ACLs for resource `Topic:myTopic`: User:user1 has Allow permission for operations: Read from hosts: * User:user2 has Allow permission for operations: Read from hosts: * User:user2 has Deny permission for operations: Read from hosts: 127.0.0.1 User:user1 has Allow permission for operations: Describe from hosts: * User:user2 has Allow permission for operations: Describe from hosts: * User:user2 has Deny permission for operations: Describe from hosts: 127.0.0.1
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Read --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Describe --topic myTopic --allow-principal User:user1 --allow-principal User:user2 bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Read --operation Describe --group MyConsumerGroup --allow-principal User:user1 --allow-principal User:user2
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --consumer --topic myTopic --group MyConsumerGroup --allow-principal User:user1
bin/kafka-acls.sh --authorizer-properties zookeeper.connect=zoo1.my-domain.com:2181 --remove --operation Describe --operation Read --topic myTopic --group MyConsumerGroup --deny-principal User:user1 --deny-host 127.0.0.1
zookeeper.set.acl=true
zookeeper.set.acl=true
zookeeper.set.acl=true
su - kafka cd /opt/kafka KAFKA_OPTS="-Djava.security.auth.login.config=./config/jaas.conf"; ./bin/zookeeper-security-migration.sh --zookeeper.acl=secure --zookeeper.connect= <ZooKeeperURL> exit
su - kafka cd /opt/kafka KAFKA_OPTS="-Djava.security.auth.login.config=./config/jaas.conf"; ./bin/zookeeper-security-migration.sh --zookeeper.acl=secure --zookeeper.connect=zoo1.my-domain.com:2181 exit
listeners=INT1://:9092,INT2://:9093,REPLICATION://:9094
listener.security.protocol.map=INT1:SASL_PLAINTEXT,INT2:SASL_SSL,REPLICATION:SSL
listener.security.protocol.map=INT1:SSL,INT2:SSL,REPLICATION:SSL
ssl.keystore.location=/path/to/keystore/server-1.jks ssl.keystore.password=123456
listeners=INT1://:9092,INT2://:9093,REPLICATION://:9094 listener.security.protocol.map=INT1:SSL,INT2:SSL,REPLICATION:SSL Default configuration - will be used for listeners INT1 and INT2 ssl.keystore.location=/path/to/keystore/server-1.jks ssl.keystore.password=123456 Different configuration for listener REPLICATION listener.name.replication.ssl.keystore.location=/path/to/keystore/server-1.jks listener.name.replication.ssl.keystore.password=123456
listeners=UNENCRYPTED://:9092,ENCRYPTED://:9093,REPLICATION://:9094 listener.security.protocol.map=UNENCRYPTED:PLAINTEXT,ENCRYPTED:SSL,REPLICATION:PLAINTEXT ssl.keystore.location=/path/to/keystore/server-1.jks ssl.keystore.password=123456
ssl.truststore.location=/path/to/keystore/server-1.jks ssl.truststore.password=123456
KAFKA_OPTS="-Djava.security.auth.login.config=/path/to/my/jaas.config"; bin/kafka-server-start.sh
sasl.enabled.mechanisms=PLAIN,SCRAM-SHA-256,SCRAM-SHA-512
sasl.mechanism.inter.broker.protocol=PLAIN
KafkaServer { org.apache.kafka.common.security.plain.PlainLoginModule required user_admin="123456" user_user1="123456" user_user2="123456"; };
KafkaServer { org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="123456" user_admin="123456" user_user1="123456" user_user2="123456"; };
KafkaServer { org.apache.kafka.common.security.scram.ScramLoginModule required; };
sasl.enabled.mechanisms=SCRAM-SHA-256,SCRAM-SHA-512 sasl.mechanism.inter.broker.protocol=SCRAM-SHA-512
bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --add-config 'SCRAM-SHA-256=[password=123456],SCRAM-SHA-512=[password=123456]' --entity-type users --entity-name user1
bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --delete-config 'SCRAM-SHA-512' --entity-type users --entity-name user1
KafkaServer { com.sun.security.auth.module.Krb5LoginModule required useKeyTab=true storeKey=true keyTab="/etc/security/keytabs/kafka_server.keytab" principal="kafka/kafka1.hostname.com@EXAMPLE.COM"; };
sasl.enabled.mechanisms=GSSAPI sasl.mechanism.inter.broker.protocol=GSSAPI sasl.kerberos.service.name=kafka
KafkaServer { org.apache.kafka.common.security.plain.PlainLoginModule required user_admin="123456" user_user1="123456" user_user2="123456"; com.sun.security.auth.module.Krb5LoginModule required useKeyTab=true storeKey=true keyTab="/etc/security/keytabs/kafka_server.keytab" principal="kafka/kafka1.hostname.com@EXAMPLE.COM"; org.apache.kafka.common.security.scram.ScramLoginModule required; };
ssl.truststore.location=/path/to/truststore.jks ssl.truststore.password=123456 ssl.client.auth=required
KafkaServer { org.apache.kafka.common.security.plain.PlainLoginModule required user_admin="123456" user_user1="123456" user_user2="123456"; };
listeners=INSECURE://:9092,AUTHENTICATED://:9093,REPLICATION://:9094 listener.security.protocol.map=INSECURE:PLAINTEXT,AUTHENTICATED:SASL_PLAINTEXT,REPLICATION:PLAINTEXT sasl.enabled.mechanisms=PLAIN
su - kafka export KAFKA_OPTS="-Djava.security.auth.login.config=/opt/kafka/config/jaas.conf"; /opt/kafka/bin/kafka-server-start.sh -daemon /opt/kafka/config/server.properties
KafkaServer { org.apache.kafka.common.security.scram.ScramLoginModule required; };
listeners=INSECURE://:9092,AUTHENTICATED://:9093,REPLICATION://:9094 listener.security.protocol.map=INSECURE:PLAINTEXT,AUTHENTICATED:SASL_PLAINTEXT,REPLICATION:PLAINTEXT sasl.enabled.mechanisms=SCRAM-SHA-512
su - kafka export KAFKA_OPTS="-Djava.security.auth.login.config=/opt/kafka/config/jaas.conf"; /opt/kafka/bin/kafka-server-start.sh -daemon /opt/kafka/config/server.properties
bin/kafka-configs.sh --bootstrap-server <BrokerAddress> --alter --add-config 'SCRAM-SHA-512=[password= <Password> ]' --entity-type users --entity-name <Username>
bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --add-config 'SCRAM-SHA-512=[password=123456]' --entity-type users --entity-name user1
bin/kafka-configs.sh --bootstrap-server <BrokerAddress> --alter --delete-config 'SCRAM-SHA-512' --entity-type users --entity-name <Username>
bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --delete-config 'SCRAM-SHA-512' --entity-type users --entity-name user1
sasl.enabled.mechanisms=OAUTHBEARER 1 listeners=CLIENT://0.0.0.0:9092 2 listener.security.protocol.map=CLIENT:SASL_PLAINTEXT 3 listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER 4 sasl.mechanism.inter.broker.protocol=OAUTHBEARER 5 inter.broker.listener.name=CLIENT 6 listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler 7 listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required \ 8 oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " \ 9 oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" \ 10 oauth.username.claim="preferred_username" \ 11 oauth.client.id="kafka-broker" \ 12 oauth.client.secret="kafka-secret" \ 13 oauth.token.endpoint.uri="https:// AUTH-SERVER-ADDRESS /token" ; 14 listener.name.client.oauthbearer.sasl.login.callback.handler.class=io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler 15 listener.name.client.oauthbearer.connections.max.reauth.ms=3600000 16
sasl.enabled.mechanisms= listeners=REPLICATION://kafka:9091,CLIENT://kafka:9092 1 listener.security.protocol.map=REPLICATION:SSL,CLIENT:SASL_PLAINTEXT 2 listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER inter.broker.listener.name=REPLICATION listener.name.replication.ssl.keystore.password= KEYSTORE-PASSWORD 3 listener.name.replication.ssl.truststore.password= TRUSTSTORE-PASSWORD listener.name.replication.ssl.keystore.type=JKS listener.name.replication.ssl.truststore.type=JKS listener.name.replication.ssl.endpoint.identification.algorithm=HTTPS 4 listener.name.replication.ssl.secure.random.implementation=SHA1PRNG 5 listener.name.replication.ssl.keystore.location= PATH-TO-KEYSTORE 6 listener.name.replication.ssl.truststore.location= PATH-TO-TRUSTSTORE 7 listener.name.replication.ssl.client.auth=required 8 listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" oauth.username.claim="preferred_username" ; 9
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required oauth.valid.issuer.uri="https:// AUTH-SERVER-ADDRESS " \ 1 oauth.jwks.endpoint.uri="https:// AUTH-SERVER-ADDRESS /jwks" \ 2 oauth.jwks.refresh.seconds=" 300 " \ 3 oauth.jwks.refresh.min.pause.seconds=" 1 " \ 4 oauth.jwks.expiry.seconds=" 360 " \ 5 oauth.username.claim="preferred_username" \ 6 oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ 7 oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ 8 oauth.ssl.truststore.type="PKCS12" ; 9
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required oauth.introspection.endpoint.uri="https:// AUTH-SERVER-ADDRESS /introspection" \ 1 oauth.client.id="kafka-broker" \ 2 oauth.client.secret="kafka-broker-secret" \ 3 oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " \ 4 oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " \ 5 oauth.ssl.truststore.type="PKCS12" \ 6 oauth.username.claim="preferred_username" ; 7
listener.name.client.oauthbearer.connections.max.reauth.ms=3600000
sasl.enabled.mechanisms=OAUTHBEARER listeners=CLIENT://0.0.0.0:9092 listener.security.protocol.map=CLIENT:SASL_PLAINTEXT listener.name.client.sasl.enabled.mechanisms=OAUTHBEARER sasl.mechanism.inter.broker.protocol=OAUTHBEARER inter.broker.listener.name=CLIENT listener.name.client.oauthbearer.sasl.server.callback.handler.class=io.strimzi.kafka.oauth.server.JaasServerOauthValidatorCallbackHandler listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required ; listener.name.client.oauthbearer.sasl.login.callback.handler.class=io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required oauth.valid.issuer.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME " oauth.jwks.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/certs " oauth.jwks.refresh.seconds=" 300 " oauth.jwks.refresh.min.pause.seconds=" 1 " oauth.jwks.expiry.seconds=" 360 " oauth.username.claim="preferred_username" oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " oauth.ssl.truststore.type="PKCS12" ; listener.name.client.oauthbearer.connections.max.reauth.ms=3600000
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required oauth.introspection.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/introspection " #
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required # oauth.client.id="kafka-broker" oauth.client.secret="kafka-broker-secret" oauth.ssl.truststore.location=" PATH-TO-TRUSTSTORE-P12-FILE " oauth.ssl.truststore.password=" TRUSTSTORE-PASSWORD " oauth.ssl.truststore.type="PKCS12" ;
oauth.ssl.endpoint.identification.algorithm=""
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required # oauth.token.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token " \ 1 oauth.valid.issuer.uri="https:// https://AUTH-SERVER-ADDRESS/auth/REALM-NAME " \ 2 oauth.client.id="kafka-broker" \ 3 oauth.client.secret="kafka-broker-secret" \ 4 oauth.refresh.token=" REFRESH-TOKEN-FOR-KAFKA-BROKERS " \ 5 oauth.access.token=" ACCESS-TOKEN-FOR-KAFKA-BROKERS " ; 6
listener.name.client.oauthbearer.sasl.jaas.config=org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required # oauth.check.issuer=false \ 1 oauth.fallback.username.claim=" CLIENT-ID " \ 2 oauth.fallback.username.prefix=" CLIENT-ACCOUNT " \ 3 oauth.valid.token.type="bearer" \ 4 oauth.userinfo.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/userinfo " ; 5
<dependency> <groupId>io.strimzi</groupId> <artifactId>kafka-oauth-client</artifactId> <version>0.6.1.redhat-00003</version> </dependency>
System.setProperty(ClientConfig.OAUTH_TOKEN_ENDPOINT_URI, " https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token "); 1 System.setProperty(ClientConfig.OAUTH_CLIENT_ID, " CLIENT-NAME "); 2 System.setProperty(ClientConfig.OAUTH_CLIENT_SECRET, " CLIENT_SECRET "); 3 System.setProperty(ClientConfig.OAUTH_SCOPE, " SCOPE-VALUE ") 4
props.put("sasl.jaas.config", "org.apache.kafka.common.security.oauthbearer.OAuthBearerLoginModule required;"); props.put("security.protocol", "SASL_SSL"); 1 props.put("sasl.mechanism", "OAUTHBEARER"); props.put("sasl.login.callback.handler.class", "io.strimzi.kafka.oauth.client.JaasClientOauthLoginCallbackHandler");
authorizer.class.name=io.strimzi.kafka.oauth.server.authorizer.KeycloakRBACAuthorizer principal.builder.class=io.strimzi.kafka.oauth.server.authorizer.JwtKafkaPrincipalBuilder
strimzi.authorization.token.endpoint.uri=" https://AUTH-SERVER-ADDRESS/auth/realms/REALM-NAME/protocol/openid-connect/token " 1 strimzi.authorization.client.id="kafka" 2
strimzi.authorization.kafka.cluster.name="kafka-cluster" 1
strimzi.authorization.delegate.to.kafka.acl="false" 1
strimzi.authorization.ssl.truststore.location= <path-to-truststore> 1 strimzi.authorization.ssl.truststore.password= <my-truststore-password> 2 strimzi.authorization.ssl.truststore.type=JKS 3 strimzi.authorization.ssl.secure.random.implementation=SHA1PRNG 4 strimzi.authorization.ssl.endpoint.identification.algorithm=HTTPS 5
strimzi.authorization.grants.refresh.period.seconds="120" 1 strimzi.authorization.grants.refresh.pool.size="10" 2
authorizer.class.name: com.bisnode.kafka.authorization.OpaAuthorizer
opa.authorizer.url=https:// OPA-ADDRESS /allow 1 opa.authorizer.allow.on.error=false 2 opa.authorizer.cache.initial.capacity=50000 3 opa.authorizer.cache.maximum.size=50000 4 opa.authorizer.cache.expire.after.seconds=600000 5 super.users=User:alice;User:bob 6
su - kafka export KAFKA_LOG4J_OPTS="-Dlog4j.configuration=file:/my/path/to/log4j.config"; /opt/kafka/bin/kafka-server-start.sh /opt/kafka/config/server.properties
su - kafka
/opt/kafka/bin/kafka-configs.sh --bootstrap-server BOOTSTRAP-ADDRESS --describe --entity-type broker-loggers --entity-name BROKER-ID
/opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --describe --entity-type broker-loggers --entity-name 0
# kafka.controller.ControllerChannelManager=INFO sensitive=false synonyms={} kafka.log.TimeIndex=INFO sensitive=false synonyms={}
/opt/kafka/bin/kafka-configs.sh --bootstrap-server BOOTSTRAP-ADDRESS --alter --add-config " LOGGER-ONE=NEW-LEVEL , LOGGER-TWO=NEW-LEVEL " --entity-type broker-loggers --entity-name BROKER-ID
/opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --add-config "kafka.controller.ControllerChannelManager=WARN,kafka.log.TimeIndex=WARN" --entity-type broker-loggers --entity-name 0
Completed updating config for broker: 0.
/opt/kafka/bin/kafka-configs.sh --bootstrap-server localhost:9092 --alter --delete-config " LOGGER-ONE , LOGGER-TWO " --entity-type broker-loggers --entity-name BROKER-ID