VishaalY/solutions-architect-hf-dataset huggingface dataset:
Question: How can I start over with a fresh installation of my current Lightsail instance while keeping the same static IP address?

I have a running Amazon Lightsail instance but want to start over with a fresh install of the same instance. How can I do this while keeping the same static IP address?Short descriptionTo start over with a clean version of the server image on the existing instance, clean up the installations and data on the server manually.Or, you can launch a new Lightsail instance from the same Lightsail blueprint of your instance. Then you can attach the same static IP addressed used on the existing instance to the new instance.

ResolutionTo launch a new Lightsail instance and attach the static IP from the previous instance to it, do the followingOpen the Amazon Lightsail console.Select Create instance.Select the same platform as the existing instance (for example, Linux/Unix). Then, select the same blueprint as the existing instance (for example, Django).(Optional) Change the SSH key pair, if required.Select the Lightsail instance plan of your choice.Name your new Lightsail instance and then select Create Instance.After the new Lightsail instance launches, return to the Lightsail home page and select the original instance.On the Networking tab of the original instance, locate the static IP address.Select the menu icon (⋮) and then select Manage, Detach.On the confirmation screen, select Yes, detach.After the static IP detaches, in the Attach to an instance option, select the new Lightsail instance name, and then select Attach.Note: You can attach static IP addresses to instances only in the same Region as the original instance.

Related informationCreate a static IP and attach it to an instance in Amazon Lightsail
Question: Why did I receive an Amazon GuardDuty CryptoCurrency:EC2/BitcoinTool.B!DNS finding type for my Amazon EC2 instance?

Amazon GuardDuty detected a CryptoCurrency finding with my Amazon Elastic Compute Cloud (Amazon EC2) instance.

Short descriptionThe GuardDuty CryptoCurrency:EC2/BitcoinTool.B!DNS finding type indicates that an Amazon EC2 instance in your AWS environment is querying a domain name. The domain name is associated with cryptocurrency-related activity such as Bitcoin mining. If you don't expect this behavior, it might be a result of unauthorized activity on your AWS account.

ResolutionIf you use your EC2 instance with cryptocurrency or with blockchain activity, this finding type might be expected activity for your environment. It's a best practice to set up a suppression rule for this finding type. For more information and instructions, see CryptoCurrency:EC2/BitcoinTool.B!DNS.If this activity is unexpected, then follow the instructions to remediate a compromised EC2 instance in your AWS environment.For more information, see How Amazon GuardDuty uses its data sources.

Related informationCreating custom responses to GuardDuty findings with Amazon CloudWatch EventsHow to use Amazon GuardDuty and AWS Web Application Firewall to automatically block suspicious hosts
Question: How do I use the results of an Amazon Athena query in another query?

I want to use the results of an Amazon Athena query to perform a second query.

ResolutionUse one of the following methods to use the results of an Athena query in another query:CREATE TABLE AS SELECT (CTAS): A CTAS query creates a new table from the results of a SELECT statement in another query. CTAS is useful for transforming data that you want to query regularly. CTAS has some limitations. For example, you can specify a maximum of 100 new partitions. For more information, see Considerations and limitations for CTAS queries. For examples, see Examples of CTAS queries.Create a view: Views are useful for querying the results of small-to-medium size queries that are specific and not expected to change. For more information, see Working with views.Use the WITH clause to run multiple select statements at the same time: Use the WITH clause to define one or more subqueries. Each subquery defines a temporary table, similar to a view definition. Use WITH clause subqueries to efficiently define tables that you can use when the query runs. For more information, see Parameters. Example:WITH temp AS (SELECT * FROM tbl1 WHERE col1 = 1) SELECT * FROM tbl2, temp;Related informationHow can I access and download the results of an Amazon Athena query?
Question: How can I determine if my load balancer supports SSL/TLS renegotiation?

How can I determine if my load balancer supports Secure Sockets Layer/Transport Layer Security (SSL/TLS) renegotiation?ResolutionAlthough only the client can initiate a session resumption, either side can initiate session renegotiation. Support of SSL/TLS renegotiation varies by load balancer type:Classic Load Balancerssupport secure client-initiated renegotiations for incoming SSL/TLS client connections. Classic Load Balancers also support server-initiated renegotiation for the backend SSL/TLS connection. **Note:**If you need to disable client-initiated renegotiations for incoming SSL/TLS connections, you can migrate to an Application Load Balancer where these renegotiations aren't supported.Application Load Balancersdon't support SSL/TLS renegotiation for client or target connections.Network Load Balancersdon't support SSL/TLS renegotiation.All load balancers support session resumption. However, only Network Load Balancers support resuming an SSL session that was originally negotiated with a different IP associated with the same load balancer.Related InformationUpdate the SSL Negotiation Configuration of Your Classic Load Balancer
Question: How can I allow Amazon Redshift database regular users permission to view data in system tables from other users for my cluster?

I am not able to view data generated by other users in system tables in my Amazon Redshift cluster. How can I view the tables?Short descriptionBy default, Amazon Redshift regular users don't have permission to view data from other users. Only Amazon Redshift database superusers have permission to view all databases.

ResolutionYou can add the SYSLOG ACCESS parameter with UNRESTRICTED access for the regular user to view data generated by other users in system tables.Note: Regular users with SYSLOG ACCESS can't view superuser tables. Only superusers can view other superuser tables.1.    Connect to the Amazon Redshift database as a superuser.2.    Run the SQL command ALTER USER similar to the following:test=# ALTER USER testuser WITH SYSLOG ACCESS UNRESTRICTED;ALTER USERNote: The required privileges for ALTER USER are superuser, users with the ALTER USER privilege, and users that want to change their own passwords.The regular user now has SYSLOG ACCESS with UNRESTRICTED access.3.    Disconnect from the Amazon Redshift database as the superuser.4.    Connect to the Amazon Redshift database as the regular user that has SYSLOG ACCESS with UNRESTRICTED access.5.    Test the regular users access by running a SQL command similar to the following:test=> select * from stv_inflight;-[ RECORD 1 ]--------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------userid                     | 100slice                      | 12811query                      | 3036label                      | default                                  xid                        | 35079530pid                        | 1073746910starttime                  | 2022-09-15 07:09:15.894317text                       | select * from my_schema.dw_lu_tiers_test a, my_schema.dw_lu_tiers_test;                                suspended                  | 0insert_pristine            | 0concurrency_scaling_status | 0-[ RECORD 2 ]--------------+---------------------------------------------------------------------------------------------------------------------------------------------------userid                     | 181slice                      | 12811query                      | 3038label                      | defaultxid                        | 35079531pid                        | 1073877909starttime                  | 2022-09-15 07:09:17.694285text                       | select * from stv_inflight;                                                                            suspended                  | 0insert_pristine            | 0concurrency_scaling_status | 0In the example output, note that the regular user now has access to view another users table.
Question: I'm trying to upload a large file using the Amazon S3 console. Why is the upload failing?

I'm trying to upload a large file (1 GB or larger) to Amazon Simple Storage Service (Amazon S3) using the console. However, the upload persistently fails and I'm getting timeout errors. How do I resolve this?ResolutionFor large files, Amazon S3 might separate the file into multiple uploads to maximize the upload speed. The Amazon S3 console might time out during large uploads because of session timeouts. Instead of using the Amazon S3 console, try uploading the file using the AWS Command Line Interface (AWS CLI) or an AWS SDK.Note: If you use the Amazon S3 console, the maximum file size for uploads is 160 GB. To upload a file that is larger than 160 GB, use the AWS CLI, AWS SDK, or Amazon S3 REST API.AWS CLIFirst, install and configure the AWS CLI. Be sure to configure the AWS CLI with the credentials of an AWS Identity and Access Management (IAM) user or role. The IAM user or role must have the correct permissions to access Amazon S3.Important: If you receive errors when running AWS CLI commands, make sure that you’re using the most recent AWS CLI version.To upload a large file, run the cp command:aws s3 cp cat.png s3://docexamplebucketNote: The file must be in the same directory that you're running the command from.When you run a high-level (aws s3) command such as aws s3 cp, Amazon S3 automatically performs a multipart upload for large objects. In a multipart upload, a large file is split into multiple parts and uploaded separately to Amazon S3. After all the parts are uploaded, Amazon S3 combines the parts into a single file. A multipart upload can result in faster uploads and lower chances of failure with large files.For more information on multipart uploads, see How do I use the AWS CLI to perform a multipart upload of a file to Amazon S3?AWS SDKFor a programmable approach to uploading large files, consider using an AWS SDK, such as the AWS SDK for Java. For an example operation, see Upload an object using the AWS SDK for Java.Note: For a full list of AWS SDKs and programming toolkits for developing and managing applications, see Tools to build on AWS.

Related informationUsing Amazon S3 with the AWS CLI
Question: How do I Provide IAM users with a link to assume an IAM role?

How do I provide AWS Identity and Access Management (IAM) users links to an IAM role?Short descriptionYou can provide the IAM user with the URL link of the IAM role that you want them to assume.

ResolutionFollow these instructions to get the IAM role link that you want the IAM user to assume. The following example uses IAM user Bob.1.    If you haven't already done so, follow the instructions for creating an IAM user in your AWS account. Then, follow the instructions for creating an IAM role.2.    Choose the role name. In the Summary pane, in Link to switch roles in console, copy the link. The link looks similar to the following: https://signin.aws.amazon.com/switchrole?roleName=YOURROLE&account=1234567890123.    Provide the link to IAM user Bob.4.    Bob opens the IAM console, and then pastes the link into the browser window.5.    The Switch Role page opens for Bob. In Display Name, enter Bob.6.    (Optional) Choose a Color for Bob.7.    Choose Switch Role.Bob now assumes the IAM role that you provided.For more information, see Things to know about switching roles in the console.

Related informationGranting permissions to an IAM user to switch rolesSwitching to a role (console)
Question: "How do I troubleshoot "Neither the global service principal states.amazonaws.com, nor the regional one is authorized to assume the provided role" errors in AWS Step Functions?"

When I try to run my AWS Step Functions state machine, I receive the following error: "Neither the global service principal states.amazonaws.com, nor the regional one is authorized to assume the provided role." How do I troubleshoot the issue?ResolutionVerify that the AWS Identity and Access Management (IAM) role that your state machine assumes has the required trust relationships configuredOne of the following must be listed as a trusted entity in the IAM role's trust policy:An AWS Regional endpoint: states.<region>.amazonaws.comThe AWS global endpoint: states.amazonaws.comTo review and edit the trust policy of the IAM role that your state machine assumes, follow the instructions in Modifying a role trust policy (console). For more information, see How AWS Step Functions works with IAM.Note: When the StartExecution API action is called, Step Functions uses the IAM role that's associated with the state machine during the duration of the action's runtime. If the IAM role that the state machine assumes is changed during the action's runtime, then the IAM role isn't used on that API action.Verify that the IAM role that your state machine assumes still exists1.    Open the Step Functions console.2.    In the left navigation pane, choose State machines.3.    Select the name of your state machine.4.    In the Details section, choose the link under IAM role ARN. If the IAM role exists, the role opens in the IAM console. If the IAM role doesn't exist, the IAM console opens a page that says No Entity Found.If the IAM role that your state machine assumes doesn't exist, create a new IAM role with a different name that includes the required permissions. Then, configure your state machine to assume the new IAM role that you created. For more information, see How AWS Step Functions works with IAM.Important: The new IAM role that you create must have a different name than the previous IAM role.
Question: Why are emails failing to deliver when I send Amazon SES emails using the SendTemplatedEmail operation?

I'm using the SendTemplatedEmail operation to send messages from my Amazon Simple Email Service (Amazon SES) account. However, Amazon SES doesn't deliver some emails.

ResolutionWhen you use an email template, Amazon SES validates that the template data you send includes the required variables in the template. If the template data contains non-compliant variables or is missing variables, then Amazon SES can't deliver the email. This is called a Rendering Failure.Use Amazon Simple Notification Service (Amazon SNS) to set up Rendering Failure event notifications. Review the Rendering Failure event notifications to find out why Amazon SES doesn't deliver an email when you use the SendTemplatedEmail operation.After you set up Rendering Failure event notifications, you receive an Amazon SNS notification when a templated email delivery fails. The notification error message includes information about the template variable that led to the Rendering Failure.For example, the following template contains the variables name and favoritecolor:{  "Template": {    "TemplateName": "ExampleTemplate",    "SubjectPart": "Hello, {{name}}!",    "HtmlPart": "<h1>Hello {{name}},</h1><p>Your favorite color is {{favoritecolor}}.</p>",    "TextPart": "Dear {{name}},\r\nYour favorite color is {{favoritecolor}}."  }}If you send the following template data, then Amazon SES can't deliver the email. This is because the favoritecolor variable is missing from the template.Important: Including extra variables that aren't present in the template, such as favoritenumber, doesn't cause an error. However, all variables that you include in the template must have an exact case-sensitive counterpart in the template data. See the following example:"TemplateData": "{ \"name\":\"Jane\", \"favoritenumber\": \"10\" }"With Rendering Failure event notifications, you receive a failure notification that's similar to the following message:{    "eventType": "Rendering Failure",    "mail": {        "timestamp": "2019-09-09T04:38:19.788Z",        "source": "sender@example.com",        "sourceArn": "arn:aws:ses:us-west-2:1234567890123:identity/sender@example.com",        "sendingAccountId": "1234567890123",        "messageId": "01010161a734a0eb-a706827a-3bda-490f-8eaa-63cf4b00d10c-000000",        "destination": [            "receiver@example.com"        ],        "headersTruncated": false,        "tags": {            "ses:configuration-set": [                "RenderFailure"            ]        }    },    "failure": {        "errorMessage": "Attribute 'favoritecolor' is not present in the rendering data.",        "templateName": "ExampleTemplate"    }}To avoid Rendering Failures, follow these guidelines:Check the capitalization of variable names in your template data. Variable names in the template are case sensitive.Verify that your template data includes all the variables in the template.

Related informationUsing templates to send personalized email with the Amazon SES API
Question: Why is my AWS DMS task that uses PostgreSQL as the source failing with all of the replication slots in use?

I have an AWS Database Migration Service (AWS DMS) task that uses an Amazon Relational Database Service (Amazon RDS) DB instance that is running PostgreSQL as the source. My task is failing, all of the replication slots are in use, and I received an error message. Why is my task failing, and how do I resolve these errors?Short descriptionFor Amazon RDS for PostgreSQL instances, AWS DMS uses native replication slots to perform the logical replication for change data capture (CDC).The number of replication slots that a PostgreSQL instance has is controlled by the max_replication_slots parameter. By default, there are five replication slots for RDS PostgreSQL instances. If you exceed the maximum number of replication slots, then you see log entries like these:Messages[SOURCE_CAPTURE ]E: Failed (retcode -1) to execute statement [1022502] (ar_odbc_stmt.c:2579)[SOURCE_CAPTURE ]E: RetCode: SQL_ERROR SqlState: 53400 NativeError: 1 Message: ERROR: all replication slots are in use;To resolve these errors, remove the used replication slots or increase the value of the max_replication_slots parameter.

ResolutionRemove used replication slotsIf you are running multiple AWS DMS tasks or you have old tasks running on same DB instance, then remove used replication slots. These replication slots continue to occupy space, so by removing then you make the slots available for new tasks.First, identify the maximum number of replication slots. Then, remove or "drop" the used replication slots.Run this query to check the maximum number of replication slots:SELECT * FROM pg_replication_slots;     slot_name    |    plugin     | slot_type | datoid | database | active |  xmin  | catalog_xmin | restart_lsn -----------------+---------------+-----------+--------+----------+--------+--------+--------------+-------------old_and_used_slot | test_decoding | logical   |  12052 | postgres | f      |        |          684 | 0/16A4408Run this query to drop a used replication slot:SELECT pg_drop_replication_slot('old_and_used_slot');Note: Replace old_and_used_slot with the name of your replication slot.Increase the value of the max_replication_slots parameterModify the DB parameter in the custom DB parameter groups that is attached to the Amazon RDS DB instance. Then, increase the value of the max_replication_slots parameter. This is a static parameter, so be sure to reboot the DB instance after changing the parameter value.After you remove the used replication slots or increase the value of the max_replication_slots parameter, restart the task.

Related informationPostgreSQL on Amazon RDSUsing a PostgreSQL database as an AWS DMS sourcePostgreSQL documentation for Logical decoding examples
Question: How do I delete Amazon S3 objects and buckets?

I have Amazon Simple Storage Service (Amazon S3) objects and buckets that I don't need. How do I delete these resources?ResolutionNote: If you receive errors when running AWS Command Line Interface (AWS CLI) commands, make sure that you’re using the most recent AWS CLI version.To delete individual S3 objects, you can use the Amazon S3 console, the AWS CLI, or an AWS SDK.To delete multiple S3 objects using a single HTTP request, you can use the AWS CLI, or an AWS SDK.To empty an S3 bucket of its objects, you can use the Amazon S3 console, AWS CLI, lifecycle configuration rule, or AWS SDK.To delete an S3 bucket (and all the objects that it contains), you can use the Amazon S3 console, AWS CLI, or AWS SDK.

Related informationBuckets overviewAmazon S3 objects overview
Question: How can I configure a CloudWatch subscription filter to invoke my Lambda function?

I want to configure an Amazon CloudWatch subscription filter to invoke my AWS Lambda function.

Short descriptionWith Amazon CloudWatch Logs, you can use a subscription filter that sends log data to your Lambda function. CloudWatch Logs subscription filters are base64 encoded and compressed with the GZIP format.Before you create your Lambda function, calculate the volume of log data that will be generated. Be sure to create a function that can manage the volume amount. If the function doesn't have enough volume, then the log stream is throttled. For more information, see Lambda quotas.Note: Streaming large amounts of CloudWatch Logs data might result in high usage charges. It's a best practice to use AWS Budgets to track spending and usage. For instructions, see How can I use AWS Budgets to track my spending and usage?ResolutionCreate a CloudWatch Logs subscription filter that sends log data to your AWS Lambda function.Note: If you receive errors when running AWS Command Line Interface (AWS CLI) commands, make sure that you’re using the most recent AWS CLI version.1.    To provide CloudWatch Logs permission to invoke your Lambda function, run the AWS CLI command add-permission similar to the following:aws lambda add-permission \    --function-name "helloworld" \    --statement-id "helloworld" \    --principal "logs.amazonaws.com" \    --action "lambda:InvokeFunction" \    --source-arn "arn:aws:logs:region:123456789123:log-group:YourLogGroup:*" \    --source-account "123456789012"Important: Replace "helloworld" with your Lambda function name, "YourLogGroup" with your log group, and the example account number with your account.2.    Create a subscription filter using the AWS CLI command put-subscription-filter to send log events that contains a keyword. In the following example, the keyword "ERROR" is used for the Lambda function:Important: Replace "YourLogGroup" with your log group and the example account number with your account.aws logs put-subscription-filter \    --log-group-name YourLogGroup \    --filter-name demo \    --filter-pattern "ERROR" \    --destination-arn arn:aws:lambda:region:123456789123:function:helloworldThe CloudWatch log group "YourLogGroup" invokes the Lambda function when it receives a log event that contains the keyword "ERROR" similar to the following:{  "awslogs": {    "data": "H4sIAAAAAAAAAHWPwQqCQBCGX0Xm7EFtK+smZBEUgXoLCdMhFtKV3akI8d0bLYmibvPPN3wz00CJxmQnTO41whwWQRIctmEcB6sQbFC3CjW3XW8kxpOpP+OC22d1Wml1qZkQGtoMsScxaczKN3plG8zlaHIta5KqWsozoTYw3/djzwhpLwivWFGHGpAFe7DL68JlBUk+l7KSN7tCOEJ4M3/qOI49vMHj+zCKdlFqLaU2ZHV2a4Ct/an0/ivdX8oYc1UVX860fQDQiMdxRQEAAA=="  }}Related informationFilter and pattern syntax