vania-janet/multiturn-rag-retrieval-data huggingface dataset:
In this method, the existing instance and the new target instance have different data stores. When you migrate, you must take this issue into account, which also applies when you are using IBM Cloud File Storage. Plan the storage migration as part of the migration process.

It is possible to manually add and allow the existing IBM Cloud File Storage volumes to be accessible to the new vCenter Server with NSX-T instance. However, it is not generally advised leaving the volumes accessible for a longer period. The vCenter Server with NSX-T instance's automation is not aware of the old and manually added storage, and when you add new hosts and clusters to the new instance you might see unwanted behavior and the new hosts might not have access to this data store.





 Migrating workloads with Veeam 

vCenter Server offers an optional service for Veeam. The Veeam service seamlessly integrates directly with your VMware® hypervisors and you control both the backup and restore of all virtual machines (VMs) for your infrastructure directly from the Veeam console.

The current Veeam version that is installed by automation is Veeam Backup and Replication 12, but you might have an older version in your NSX-V based deployment. You can use Veeam's replication capabilities during the migration.

For more information, see [Ordering services for vCenter Server instances](https://cloud.ibm.com/docs/vmwaresolutions?topic=vmwaresolutions-vc_addingservices) and [Veeam technical documentation](https://www.veeam.com/documentation-guides-datasheets.html?ad=in-text-link).





 Migrating workloads with Zerto 

vCenter Server instances offer an optional service for Zerto. The Zerto service integrates replication and disaster recovery capabilities into the deployment offerings to protect and recover data in your VMware virtual environment on IBM Cloud.

You can use Zerto's replication capabilities during the migration.
[Learn more](https://cloud.ibm.com/docs/overview?topic=overview-locationsmzr-table).







 Data availability 

The data that is managed by Activity Tracker Event Routing in a region is kept in the data centers near that region.

A multizone region (MZR) consist of 3 or more availability zones that are independent from each other to ensure that single failure events affect only a single zone.

By default, Activity Tracker Event Routing is deployed across 3 zones. Each zone is setup with active/active/active:



* Each zone is located in a different data center in the region.
* The data in each zone is automatically replicated to the other zones with low latency. You don't need to do anything to enable the replication.
* The service is designed to withstand a single zone failure with no interruption.



The MZR architecture offers automatic failover between zones within the region, and high availability for a auditing instance withing a region.

Activity Tracker Event Routing data includes information on where and how to collect and store auditing events in your account for regional services and for global services like IAM.



* A target is a resource where you can collect auditing events.
* A route is a resource that defines the rules that determine where auditing events are routed in your account.



Activity Tracker Event Routing does regular backups of the data per region:



* Regular backups are done daily and retained for 30 days.
* Continuous incremental backups are kept for the last 7 days.



Activity Tracker Event Routing data is replicated across multiple regions.



* Regular backups are stored across multiple regions, and are restorable to other regions.







 Disaster recovery (DR) in a region 

In the event of a regional disaster, you must complete the following steps to establish cross-region high availability:



1. [Check the DR recovery region](https://cloud.ibm.com/docs/atracker?topic=atracker-ha_drha_dr_recovery_region).
2. If you have a target and a route configured in the recovery region, your auditing events will be routed to the target that is specified for that region.
Events that are managed by Code Engine when you create a subscription are modified so that they adhere to the [CloudEvents specification](https://cloudevents.io). This specification defines a set of common attributes that can be included with each event to provide a common set of metadata. By looking at the metadata, you can quickly understand key pieces of the message without parsing and understanding the entirety of the event payload. For example, each event that is delivered to an application includes an HTTP header that is called ce-type, which indicates the semantic meaning (or "reason") for the event. An event from a database might include a ce-type value of com.example.row.deleted, indicating that the event was generated because a row was deleted in the database.

The following table lists some key common attributes. Each attribute indicates whether it is a required attribute on the incoming event or whether it is optional.



Table 1. Common CloudEvent attributes

 Header Description 

 ID This required attribute is a unique ID for the event. No two events from the same event producer are assigned the same value. 
 Source This required attribute specifies the context in which the event occurred. For example, for an object storage system, this value might be the bucket in which the object in question resides. 
 Specversion This required attribute indicates the version of the CloudEvents specification that the event uses. 
 Type This required attribute describes the type of the event. For example, the type of event might be that a resource was created or deleted. 
 Subject This optional attribute indicates the resource about which the event is related. For example, in an object storage system, this value might be the object from the bucket that was modified. 
 Time This optional attribute is the timestamp of when the occurrence happened. 



For more information about the complete list of attributes, see the [CloudEvents specification](https://github.com/cloudevents/spec).

In Code Engine, when events are delivered to applications, the CloudEvent attributes appear as HTTP headers, prefixed with ce-. When events are delivered to batch jobs, the attributes appear as environment variables, prefixed with CE_ and the entire variable name is in uppercase.
[View in context](https://cloud.ibm.com/docs-content/v1/content/f84e2238288b7f0355715a4c355609ce7ac48fb0/solution-tutorials/images/solution55-openshift-microservices/views-img-12.png)

View in context
6. A new pop up window opens. In the window, choose one of the following options:



* By Everything to see the log line in the context of all log records (everything) that are available in the Log Analysis instance
* By source to see the log line in the context of the log lines for the same source
* By App to see the log line in the context of the log lines of the app
* By Source and App to see the log line in the combined context of the app and source



Then click Continue in New Viewer to get the view in a different page. You might need to scroll down to get this option.

> Tip: Open a view per type of context to troubleshoot problems.

Zoom

![Continue in New Viewer](https://cloud.ibm.com/docs-content/v1/content/f84e2238288b7f0355715a4c355609ce7ac48fb0/solution-tutorials/images/solution55-openshift-microservices/views-img-13.png)

Continue in New Viewer
7. Expand the selected log and click Copy to clipboard to copy the message field to the clipboard. Notice that when you copy the log record you get less information than what it is displayed in the view. To get a line with all the fields, you must export data from a custom view.
8. When you are finished, close the line.







 View a subset of the events by applying a timeframe 

In a view, you can search events that are displayed through a view for a specific timeframe.

You can apply a timestamp by specifying an absolute time, a relative time, or a time range.

Complete the following steps to jump to a specific time:
You might want to use the [custom view you created](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-tutorial-use-logdnaLA-create-custom-view).
4. Identify a log line you want to explore.
5. Open the log entry by clicking the down arrow. Information about line identifiers, tags, and labels is displayed.

![Log entry dropdown](https://cloud.ibm.com/docs-content/v1/content/f61dbc5d84bf0c89e477a05cab04c72f429e1b7a/log-analysis/images/loglinedropdown.png).
6. Click ![View in context](https://cloud.ibm.com/docs-content/v1/content/f61dbc5d84bf0c89e477a05cab04c72f429e1b7a/log-analysis/images/viewincontext.png). The log line is displayed in context of other log lines from that host, app, or both. This information is helpful when troubleshooting a problem.
7. Explore the selected log line by using the following options.

By Everything displays the log line in context of all log records that are available in the IBM Log Analysis instance.

By source displays the log line in context of the log lines for the same source.

By App displays the log line in context of the log lines of the app.

By Source & App displays the log line in the combined context of the app and source.
8. Click Continue in New Viewer to open the view as a new Unsaved View. Keeping multiple views can help troubleshoot problems.







 Step 7: Filtering to a specific timeframe 

You can search for events occurring in a specified timeframe.

The timeframe can be an absolute time, relative time, or a time range.



1.
Result: The condition is true because the numeric portion of the input text matches the regular expression ^[^d][d]{6}[^d]$.





 String.getMatch(String regexp, Integer matchIndex) 

This method returns a string from the input that matches the occurrence of the regular expression pattern that you specify. This method returns an empty string if no match is found.

As matches are found, they are added to what you can think of as a matches array. If you want to return the third match, because the array element count starts at 0, specify 2 as the matchIndex value. For example, if you enter a text string with three words that match the specified pattern, you can return the first, second, or third match only by specifying its index value.

In the following expression, you are looking for a group of numbers in the input. This expression saves the second pattern-matching string into the $second_number context variable because the index value 1 is specified.

{
"context": {
"second_number": "<? input.text.getMatch('([\d]+)',1) ?>"
}
}

If you specify the expression in JSON syntax, you must provide two backslashes (\). If you specify the expression in a node response, you need one backslash only.

For example:

<? input.text.getMatch('([d]+)',1) ?>



* User input:

"hello 123 i said 456 and 8910".
* Result: 456



In this example the expression looks for the third block of text in the input.

<? input.text.getMatch('(b [A-Za-z]+)',2) ?>

For the same user input, this expression returns and.





 String.isEmpty() 

This method returns true if the string is an empty string, but not null.

For this Dialog runtime context:

{
"context": {
"my_text_variable": ""
}
}
It's possible that if a bare metal server provisioning took longer than expected and then failed, then during a subsequent cleanup, the destroy process complains that the failed bare metal server is still attached to a security group that it is attempting to destroy.

 How to fix it 

Copy the cluster prefix name and complete the following steps:



1. Go to the security group and access the -storage-sg.
2. Go to the attached resources section for the security group.
3. Click the attached bare metal server and copy the ID of the server.
4. Run the following commands from the CLI to stop and delete the server:

ibmcloud is bare-metal-server-stop $bare_metal_server_id

ibmcloud is bare-metal-server-delete $bare_metal_server_id



Deletion of the bare metal server takes a few seconds. After the bare metal node is deleted, go to Schematics and apply for destroy resources.





 What is the subnet_not_in_address_prefix error or invalid CIDR format error during VPC and subnet creation? 

 What’s happening 

You are receiving the following error when you try to apply a plan to your workspace: Apply failed due to Error: [ERROR] Error while creating subnet. The specified CIDR does not fit in any of the address prefixes in the specified VPC. Make sure the subnet's CIDR is a subset of the CIDR of one of the address prefixes.

 Why it’s happening 

During the apply plan process, the workspace tries to create the VPC and subnet with the specified range of the CIDR address prefix from the deployment value. If the address prefix range is out of scope or doesn't belong to the family of the IP address range of the VPC, then you get an error that the address is not in range.

 How to fix it 

Validate if the address prefix range that's provided for subnet creation is from the same range of addresses that are used for the VPC. For example, if the VPC address prefix is 10.241.0.0/18, then the subnet should be in the 10.241.x.x range.
Excluding log files 

Configure a logging agent to exclude logs that you do not want to monitor through the logging UI.



* You can exclude files that are located in any of the paths that are defined through the logdir parameter in a Linux system or the LOGDNA_EXCLUDE variable in a Kubernetes cluster.
* You can configure multiple files. You separate multiple files by using commas.
* You can use glob patterns to define what you want to exclude.
* You can configure specific files.





 Excluding log files for a standard Kubernetes cluster 

Complete the following steps to configure the agent so that only application logs are forwarded and cluster logs are excluded:



 Step 1. Set the context of the cluster 

Complete the following steps:



1. Open a terminal to log in to IBM Cloud.

ibmcloud login -a cloud.ibm.com --sso

Select the account where you provisioned the IBM Log Analysis instance.
2. List the clusters to find out in which region and resource group the cluster is available.

ibmcloud ks clusters
3. Set the resource group and region.

ibmcloud target -g RESOURCE_GROUP -r REGION

Where

RESOURCE_GROUP is the name of the resource group where the cluster is available, for example, default.

REGION is the region where the cluster is available, for example, us-south.
4. Set the cluster where you want to configure logging as the context for this session.

ibmcloud ks cluster config --cluster <cluster_name_or_ID>

Where <cluster_name_or_ID> is the name or the ID of the cluster.







 Step 2. Modify the logging agent YAML file 

Complete the following steps:



1. Generate the configuration file of the agent by running the following command:

kubectl get daemonset logdna-agent -o=yaml > prod-logdna-agent-ds.yaml -n ibm-observe
2. Make changes. Add the section LOGDNA_EXCLUDE to the YAML file.
You can use this method to specify an endorsement policy of all channel members, a majority of them, a single member, or a simple +1 preventing members from self-signing. The default endorsement policy is set to 1 of x, meaning that only a single member of the channel is required to endorse a smart contract transaction.

Click the Advanced button if you want to specify a policy in JSON format. You can use this method to specify more complicated endorsement policies, such as requiring that a certain member of the channel must validate a transaction, along with a majority of other members. You can find additional [examples of advanced endorsement policies](https://hyperledger-fabric.readthedocs.io/en/release-1.4/arch-deep-dive.htmlexample-endorsement-policies) in the Hyperledger Fabric documentation. For more information about writing endorsement policies in JSON, see [Hyperledger Fabric Node SDK documentation](https://hyperledger.github.io/fabric-sdk-node/release-1.4/global.htmlChaincodeInstantiateUpgradeRequest).

Endorsement policies are not updated automatically when new organizations join the channel and install a smart contract. For example, if the endorsement policy requires two of five organizations to endorse a transaction, the policy will not be updated to require two out of six organizations when a new organization joins the channel. Instead, the new organization will not be listed on the policy, and they will not be able to endorse transactions. You can add another organization to an endorsement policy by upgrading the relevant smart contract and updating the policy.



 What does the user type have to do with the smart contract endorsement policy? 

It's worth clicking the Advanced button to review the endorsement policy that will be used for the smart contract. Every organization that you select from the Members drop-down list on this panel will be included in the endorsement policy (represented by the role mspId parameter in the policy). The value of the role name parameter indicates the type of identity that is required to endorse transactions and can be any of client, peer, orderer, admin, or member. If it is set to member, then any of the other four roles will satisfy the criteria.
Glossary of HCX terms 

This glossary provides definitions for the terms that are associated with the VMware HCX® service.



*  VMware® HCX This is the HCX service that runs in the IBM Cloud®. The provisioning of the HCX service is automated by IBM Cloud for VMware Solutions.
*  HCX on-premises site The on-premises environment that is running your existing VMware® deployment. In the context of migrations, this environment is often referred to as the source site.
*  HCX Cloud site The VMware® environment that is running in IBM Cloud, where you want to extend your on-premises environment. In the context of migrations, this environment is often referred to as the target site.
*  HCX Manager virtual appliance This is the management virtual machine for HCX, which is also referred to as HCX Manager.
*  HCX Cloud IP The IP address of the HCX Manager virtual appliance, which you can find on the HCX service details page in the IBM Cloud for VMware Solutions console.
*  HCX Manager Admin console The user interface for managing the HCX appliances for administrative purposes, such as starting and stopping services, and collecting support logs.
*  HCX Cloud console The user interface for configuring the HCX cloud-side features, such as virtual data centers and disaster recovery.





  Related links 



*  [VMware Hybrid Cloud Extension documentation](https://cloud.vmware.com/vmware-hcx/resources)
Pipeline status 

The reference pipelines separate compliance status and pipeline run status into separate context layers to provide information about the overall behavior of the pipeline.



  Compliance status context layer 

From a compliance point of view, a failed unit test result is not a barrier to deployment. If a test, scan, or check fails, the pipeline does not stop. In this scenario, the task that runs the test is marked green so that the compliance flow does not prevent the pipeline from completing. This feature is important in an outage, where you might need to release a fix that contains a failed check to get the site back online, and then resolve the test failure later. Although you can deploy artifacts with failed checks, the process preserves the evidence from those failures.

When the status of a unit test task that identified failing tests is marked green, it means only that the task ran successfully, even if it found specific issues.

To keep the final pipeline status synchronized with the compliance results, a task is used at the end of the pipeline to check the compliance results. Then, the pipeline run status is set to either red or green.





  Pipeline status context layer 

When a pipeline task stops with a status of red, the pipeline cannot continue. This status indicates one of the following:



*  There is an error in a task's definition.
*  One of the core pipeline operations is failing. For example, a failure occurs while it is building the output artifacts, which defeats the purpose of the continuous integration itself.
Responses with a 304 status MUST NOT have a response body. 
 307 [Temporary Redirect](https://datatracker.ietf.org/doc/html/rfc7231section-6.4.7) This code MAY be returned to indicate that the request should be resubmitted to the URI provided in the Location header, which MUST be included when this code is returned, and that future requests should use the original URI. This code indicates that the request method should not change when using the temporary URI. 





 URI ambiguity 

URI ambiguity requiring the use of a 300 status code SHOULD be avoided by following the below principles:



1. URI schemes SHOULD be inherently unambiguous with respect to what resource is meant.
2. If multiple representations of a particular resource are offered, the desired version SHOULD be specified with an Accept header rather than distinct URIs, and a default representation SHOULD be served liberally.[5]



However, in such cases where it is deemed important that an occasionally-ambiguous URI scheme be used or where different representations of a resource require differing URIs (e.g., for media files where a file extension is considered significant), a 300 status code MAY be returned where a particular URI is ambiguous.





 303 and 307 temporary redirects 

A 303 in response to a POST, PUT, or DELETE indicates that the operation has succeeded but that the response entity-body is not being sent along with this request. If the client wants the response entity-body, it needs to make a GET request to the URI provided in the Location header.

A 307 in response to a POST, PUT, or DELETE indicates that the server has not even tried to perform the operation and the client needs to resubmit the entire request, with the original method, to the URI in the Location header.







 Client errors: 4xx 



Client error status codes

 Code Meaning Description 

 400 [Bad Request](https://datatracker.ietf.org/doc/html/rfc7231section-6.5.1) This code MUST be returned when a request cannot be processed due to client error (e.g., the request is malformed or too large) when a more specific code is not applicable.
* An [Enumeration](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesenumeration) field contains one of a predefined set of lower snake case strings.
* A [Model](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesmodel) field contains a nested object. This object must be an instance of a specific model; the field's definition must specify this model.
* An [Array](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-typesarray) field contains an array which itself contains zero or more values. Each value must conform to a specific type (excluding the Array type itself); the field's definition must specify this type.







 Required, optional, and nullable fields 



 In requests 

If a field is optional in a request body, the behavior of omitting the field from a request MUST be defined as either:



* The use of a static value, defined in the property schema default
* The use of a value otherwise computed by the system, with a strategy explained in the property schema description
* Omission or removal[1] from the subsequently observable resource state, with an explanation for why (and under what circumstances) a value is not required for the resource, in the property schema description



A null value for a field MUST NOT be accepted in a request body except in a [JSON merge patch request](https://cloud.ibm.com/docs/api-handbook?topic=api-handbook-methodspatch). A null value in a JSON merge patch request body MUST NOT be accepted unless the field can be removed from the observable resource state.

An operation MUST NOT accept any other sentinel value in a request body to omit or remove a field from the subsequently observable state.

Omitted and null values offer similarly "empty" meaning, but the JSON merge patch type [employs the null value as a sentinel](https://datatracker.ietf.org/doc/html/rfc7386section-1) to remove an existing value.