vania-janet/multiturn-rag-retrieval-data huggingface dataset:
* Creating the Cloud Object Storage instance, the following error can occur if the user does not have the correct IAM permissions:



* AccessDenied: Access Denied status code: 403.





* What is the time taken to create an IBM Kubernetes Service cluster and other resources?

Schematics Blueprint utilizes IaC automation code modules that are written in Terraform HCL. The time taken to create resources is dependent on the resource type. Terraform automation modules are written not to return on initial resource creation, but to return only when the resource is fully initialized and available to be used by subsequent automation modules. This is different compared to the experience of creating resources through the UI. In the UI control is returned immediately and initialization continues in the background. With automation modules the perception is that they can take significantly longer to run.
* How do you configure the version of Terraform to used?

The version of Terraform used for an environment is user determined by the blueprint template TF_VERSION parameter. This parameter can be used to control when the Terraform version for environment is updated to the next release or version.

The Terraform version in use and allowable for modules is constrained by the value of required_ version in the Terraform module code.

During Apply operations Terraform programmatically determines the Terraform version that is supported by the automation modules, looking for a terraform block with a [required_version](https://developer.hashicorp.com/terraform/language/settingsspecifying-a-required-terraform-version) parameter. If the module required_version constraint does not support the desired template version, the operation will be failed.
* Is it possible to specify the CLI parameters as a file?

A number of ways to create a blueprint configuration using the CLI.

For Schematics Blueprints, the [Schematics plug-in](https://cloud.ibm.com/docs/schematics?topic=schematics-setup-cliinstall-schematics-plugin) version must be greater than the 1.12.5.



1. Using a local file in JSON format.

Example
* Physical security of an office location that are used personnel is handled by IBM corporate.
* Technical and Organizational Measures. Technical and Organizational Measures (TOMs) are employed by Schematics to ensure the security of personal data. Schematics holds externally audited certifications for the controls Schematics employs.
* Service access to data.
* Schematics operations and support staff have access to client data and can access during routine operations. The access is only done to operate, and support the service. Access is limited to a need to know basis and also is logged, monitored, and audited.







 Deletion of data 

IBM Cloud Schematics stores your data in a highly available and secure environment. All your data such as automation code, input configuration data, input credentials, and the runtime data are stored in IBM Cloud® Object Storage. For more information about how to delete your data in Schematics? see [deleting IBM Cloud Schematics data](https://cloud.ibm.com/docs/schematics?topic=schematics-delete-schematics-data-intro).

Schematics can completely remove all references and data for a client document when an operator-managed purging is run. Before you request that data to purge, it's important to understand that purged documents cannot recover the process is complete.

Follow these steps, if data needs to be removed through a right to be forgotten request.



* Raise a request with the [IBM DPO](https://w3.ibm.com/ibm/privacy/) to request purging of Schematics data that is related to a specific IBM Cloud account along with the reason.
* On receipt of a formal request by the [IBM DPO](https://w3.ibm.com/ibm/privacy/), Schematics operations verifies the request.
* Schematics triggers the purging action to permanently remove the requested data.
Where do I store my variable declarations?
You can decide to declare your variables within the same Terraform on IBM Cloud configuration file where you specify the resources that you want to provision, or to create a separate variables.tf file that includes all your variable declarations. When you create a workspace, IBM Cloud Schematics automatically parses through your Terraform on IBM Cloud configuration files to find variable declarations.

What information do I need to include in my variable declaration?
When you declare an input variable, you must provide a name for your variable and the data type, such as string or integer, that the variable uses. You can optionally add a description and a default value for your variable. When input variables are imported into Schematics and a default value is specified, you can choose to overwrite the default value.

Is there a character limit for input variables?
Yes. If you define input variables in your Terraform on IBM Cloud configuration file, keep in mind that the value that you enter for these variables can be up to 2049 characters. If your input variable requires a value that exceeds this limit, the value is truncated after 2049 characters.

Example variable declaration without a default value

variable "datacenter" {
type = "string"
description = "The data center that you want to deploy your Kubernetes cluster in."
}

Example variable declaration with a default value is

variable "datacenter" {
type = "string"
description = "The data center that you want to deploy your Kubernetes cluster in."
default = "dal10"
}



 Referencing variables 

You can reference the value of the variable in other blocks of your Terraform on IBM Cloud configuration files by using the "${var.<variable_name>}" syntax.

Example for referencing a datacenter variable:

resource ibm_container_cluster "test_cluster" {
name = "test"
datacenter = var.datacenter
}

For more information, about variable configurations, see the [Terraform documentation](https://developer.hashicorp.com/terraform/language/values/variables).







 Storing your Terraform on IBM Cloud templates
You can optionally provide the value of an existing API key that has the correct permissions in the same account.

Do not reuse the same name for multiple locations, even after the other location is deleted. If you use the same name 5 times or more within 7 days, you might reach the Let's Encrypt [Duplicate Certificate rate limit](https://cloud.ibm.com/docs/openshift?topic=openshift-cs_rate_limit).



1. In your GCP cloud provider, [set up your account credentials](https://cloud.ibm.com/docs/satellite?topic=satellite-gcpinfra-creds-gcp).
2. From the [Satellite console](https://cloud.ibm.com/satellite/locations), click Create location.
3. In the Get started section, click GCP Quick Start.
4. Upload your GCP credentials file.
5. Review the GCP environment details that are automatically populated. By default, enough VMs are created to provide hosts for 1 small location that can run about 2 demo clusters. To change the subscription, region, instance type, or number of VMs for the hosts, click the Edit pencil icon.
6. Review the Satellite location details. If you edited the GCP environment details, you might want to click the Edit pencil icon to change details such as the description, API key, or IBM Cloud multizone region that the location is managed from.
7. In the Summary pane, review the cost estimate.
8. Click Create location. Your location might take about 30 minutes to finish provisioning.
9. Optional: To review the provisioning progress, review the logs in the Schematics workspace that is automatically created for you.



1. Click Manage in Schematics. If you see an error, navigate to the [Schematics workspaces console](https://cloud.ibm.com/schematics/workspaces) and click the name of your workspace, such as us.east.cartOrder....
2.
* false: Choose this option if you want to share an existing bucket across your stateful set replicas. Make sure to define the name of the bucket in the spec.volumeClaimTemplates.metadata.annotions.ibm.io/bucket section of your stateful set YAML.



ibm.io/auto-delete-bucket
: In the spec volume claim templates metadata section, set an annotation to configure how buckets are deleted. Choose between the following options:



* true: Your data, the bucket, and the PV is automatically removed when you delete the PVC. Your IBM Cloud Object Storage service instance remains and is not deleted. If you choose to set this option to true, then you must set ibm.io/auto-create-bucket: true and ibm.io/bucket: ""so that your bucket is automatically created with a name with the format tmp-s3fs-xxxx.
* false: When you delete the PVC, the PV is deleted automatically, but your data and the bucket in your IBM Cloud Object Storage service instance remain. To access your data, you must create a new PVC with the name of your existing bucket.



ibm.io/bucket
: In the spec volume claim templates metadata section, set an annotation for the bucket details. Choose between the following options:



* If ibm.io/auto-create-bucket is set to true: Enter the name of the bucket that you want to create in IBM Cloud Object Storage. If in addition ibm.io/auto-delete-bucket is set to true, you must leave this field blank to automatically assign your bucket a name with the format tmp-s3fs-xxxx. The name must be unique in IBM Cloud Object Storage.
* If ibm.io/auto-create-bucket is set to false: Enter the name of the existing bucket that you want to access in the cluster.



ibm.io/secret-name
: In the spec volume claim templates metadata annotations section, enter the name of the secret that holds the IBM Cloud Object Storage credentials that you created earlier.
Setting up Terraform for IBM Cloud Load Balancer 

Terraform on IBM Cloud® enables predictable and consistent provisioning of IBM Cloud services so that you can rapidly build complex, multi-tier cloud environments following Infrastructure as Code (IaC) principles. Similar to using the IBM Cloud CLI or API and SDKs, you can automate the provisioning, update, and deletion of your load balancer instances by using HashiCorp Configuration Language (HCL).

Looking for a managed Terraform on IBM Cloud® solution? Try out [IBM Cloud® Schematics](https://cloud.ibm.com/docs/schematics?topic=schematics-getting-started). With Schematics, you can use the Terraform scripting language that you are familiar with, but you don't have to worry about setting up and maintaining the Terraform command line and the IBM Cloud® Provider plug-in. Schematics also provides pre-defined Terraform templates that you can easily install from the IBM Cloud® catalog.



 Installing Terraform and configuring resources for IBM Cloud Load Balancer 



1. Follow the [Terraform on IBM Cloud® getting started tutorial](https://cloud.ibm.com/docs/ibm-cloud-provider-for-terraform?topic=ibm-cloud-provider-for-terraform-getting-started) to install the Terraform CLI and configure the IBM Cloud® Provider plug-in for Terraform. The plug-in abstracts the IBM Cloud® APIs that are used to provision, update, or delete IBM Cloud Load Balancer service instances and resources.
2. Create a Terraform configuration file that is named main.tf. In this file, you add the configuration to create a load balancer and to assign a user an access policy in Identity and Access Management (IAM) for that instance by using HashiCorp Configuration Language (HCL). For more information, see the [Terraform documentation](https://www.terraform.io/docs/language/index.html).

The load balancer instance in the following example is named test_lb_local_service and is enabled on port 80.
* UI
* CLI
* API
* Terraform







 Updating workspaces 

Update the details for an existing workspace, such as the workspace name, variables, or source control URL. To provision or modify IBM Cloud, see the ibmcloud schematics plan command.

IBM Cloud Schematics deprecates older version of Terraform. For more information, see [Deprecating older version of Terraform process in IBM Cloud Schematics](https://cloud.ibm.com/docs/schematics?topic=schematics-deprecate-tf-version).



 Before you begin 

Ensure the location and the url endpoint are pointing to the same region when you create or update the Schematics Workspaces and actions. For more information about location and endpoint, see [Where is your information stored](https://cloud.ibm.com/docs/schematics?topic=schematics-secure-datapi-location)?





 Updating a workspace using the UI 



1. Log in to [IBM Cloud](https://cloud.ibm.com/).
2. Access Schematics > Workspaces > [Update workspace](https://cloud.ibm.com/schematics/workspaces/create).



* In Specify Template section:



* GitHub, GitLab, or Bitbucket repository URL - <provide your Terraform template Git repository URL.
* Personal access token - <leave it blank>.
* Terraform Version - terraform_v1.0. You need to select Terraform version 1.0 or greater version. For example, if your Terraform templates are created by using Terraform v1.0, select the Terraform version parameter as terraform_v1.0. You can select Terraform_v1.1 to use Terraform version 1.1, terraform_v1.0 to use Terraform version 1.0.
Validate that your stream landing job is working 

To validate that streams landing is working, complete the following steps:



* Verify that the specified prefix in Object Storage is filled with Parquet objects.
* Check the status of all streaming jobs in the Data Engine UI.
* Alternatively, use the REST API of Data Engine to get the list and the details of running stream landing jobs.
* In the Event Streams UI, you also get information about the active stream landing jobs per topic. Using Event Streams, you can view and stop the landing configuration.







 Estimating cost 

You can evaluate the cost of your own planned usage with the [IBM Cloud cost estimator](https://cloud.ibm.com/estimator)





 Limitations 



* With Data Engine you can process up to 1 MB event data per second. The final reached data throughput depends on parameters, such as topic partitions, and size and format of the events.
* For one Data Engine instance, the limit is five concurrent stream landing jobs. The limit can be raised upon request by a support ticket.
* The Event Streams feature is available only for Data Engine instances that are created in the US-South region and in Frankfurt.



For more information, see [Streaming to Cloud Object Storage by using Data Engine](https://cloud.ibm.com/docs/sql-query?topic=sql-query-event-streams-landing) in the Data Engine documentation.
(https://cloud.ibm.com/docs/direct-link?topic=direct-link-get-started-with-ibm-cloud-direct-linkget-started-solution-to-order) and [Getting started with IBM Cloud Direct Link Dedicated](https://cloud.ibm.com/docs/dl?topic=dl-get-started-with-ibm-cloud-dl).





 How does IBM Cloud Direct Link work? 

For every Direct Link customer, the IBM Cloud® team assigns a small private subnet to build a point-to-point network between the IBM Cloud cross-connect router (XCR) and the customer's edge router (CER). Then, IBM Cloud and the customer configure Border Gateway Protocol (BGP) to exchange routes between the environments. Finally, IBM Cloud places the customer into a VRF to allow for the implementation of non-unique routes to the private address space of the customer's remote network.





 Where do I find cost estimates for Direct Link offerings? 

You can estimate the cost of a service using the cost estimator on the provisioning pages for Direct Link on Classic offerings. For example, select a tile from the [IBM Cloud catalog](https://cloud.ibm.com/catalog?category=compute%20network&search=direct%20link%20%22on%20classic%22%20label%3Aibm_createdsearch_results) to view the service's ordering page. As you complete the ordering form, cost estimates appear in the Summary side panel.





 Does IBM Cloud meter bandwidth for Direct Link products? 

Yes. Bandwidth usage across the Direct Link service between customers and IBM Cloud is free and unmetered, IBM Cloud does meter outbound bandwidth from IBM Cloud services to the public internet.





 When does billing begin with Direct Link? 

The fees for Direct Link Connect cover the cost of service termination on the IBM Cloud infrastructure.

Infrastructure services are billed in advance and begin upon acceptance of a client’s order, however, due to the nature of IBM Cloud Direct Link, the Direct Link service billing begins when a Border Gateway Protocol (BGP) session is established with IBM Cloud, or 30 days after the service key is provided to the client.
Fix the error by setting the path to your [Terraform installed directory](https://cloud.ibm.com/docs/ibm-cloud-provider-for-terraform?topic=ibm-cloud-provider-for-terraform-getting-startedtf_installation).
4. Create a Terraform execution plan. The Terraform execution plan summarizes all the actions that need to be run to create the Schematics Workspaces in your account.

terraform plan
5. Create the Schematics Workspaces instance and IAM access policy in IBM Cloud.

terraform apply

For more information about troubleshooting the terraform apply command errors, see [find the root cause of why Schematics apply is failing](https://cloud.ibm.com/docs/schematics?topic=schematics-nullresource-errors).
6. From the [Schematics dashboard](https://cloud.ibm.com/schematics), check your tf-testwks-apigwy workspace is created. And the resources are provisioned from the [IBM Cloud Schematics resource list](https://cloud.ibm.com/resources).
7. Verify that the access policy is successfully assigned. For more information, see [Reviewing assigned access in the console](https://cloud.ibm.com/docs/account?topic=account-assign-access-resourcesreview-your-access-console).







 What's next? 

Now that you successfully created your first Schematics Workspaces with Terraform on IBM Cloud, you can choose between the following tasks:



* Learn how to create an [IBM Cloud Schematics job](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/resources/schematics_job) resource to run your Terraform template in IBM Cloud.
* To run Ansible playbooks in IBM Cloud check out the [IBM Cloud Schematics action](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/resources/schematics_action) resource.
A refresh action validates the IBM Cloud resources in your account against the state that is stored in the Terraform state file of your workspace. If differences are found, the Terraform state file is updated accordingly.

Syntax

ibmcloud schematics refresh --id WORKSPACE_ID [--output OUTPUT]

Command options



Schematics refresh flags

 Flag Required / Optional Description 

 --id or -i Required The unique identifier of the workspace that you want to refresh and run an action against. To find the ID of a workspace, run ibmcloud schematics workspace list command. 
 --output or -o Optional Returns the command-line output in JSON format. Currently only JSON file format is supported. 
 --json or -j Deprecated Prints the output in the JSON format. 



Example

ibmcloud schematics refresh --id myworkspace-a1aa1a1a-a11a-11





 ibmcloud schematics state list 

List the Name, Type, URL, and Taint Status of the IBM Cloud resources that are documented in your Terraform state file (terraform.tfstate).

Taint Status returns tainted for (true) or blank for (false).

Syntax

ibmcloud schematics state list --id WORKSPACE_ID [--output json]

Command options



Schematics state list flags

 Flag Required / Optional Description 

 --id or -i Required The unique identifier of the workspace for which you want to list the IBM Cloud resources that are documented in the Terraform state file. To find the ID of a workspace, run ibmcloud schematics workspace list command. 
 --output or -o Optional Returns the command-line output in JSON format. Currently only JSON file format is supported. 



Example

ibmcloud schematics state list --id myworkspace-a1aa1a1a-a11a-11





 ibmcloud schematics workspace taint 

Manually marks an instance or resources as tainted, by forcing the resources to be re-created on the next apply.
For more information about the list of environment variable and its usage, see [List of environment variables](https://cloud.ibm.com/docs/schematics?topic=schematics-set-parallelismlist-special-env-vars).

Example

ibmcloud schematics workspace new --file example.json







 ibmcloud schematics refresh 

Perform an IBM Cloud refresh action against your workspace. A refresh action validates the IBM Cloud resources in your account against the state that is stored in the Terraform state file of your workspace. If differences are found, the Terraform state file is updated accordingly.

Syntax

ibmcloud schematics refresh --id WORKSPACE_ID [--output OUTPUT]

Command options



Schematics refresh flags

 Flag Required / Optional Description 

 --id or -i Required The unique identifier of the workspace that you want to refresh and run an action against. To find the ID of a workspace, run ibmcloud schematics workspace list command. 
 --output or -o Optional Returns the command-line output in JSON format. Currently only JSON file format is supported. 
 --json or -j Deprecated Prints the output in the JSON format. 



Example

ibmcloud schematics refresh --id myworkspace-a1aa1a1a-a11a-11





 ibmcloud schematics state list 

List the Name, Type, URL, and Taint Status of the IBM Cloud resources that are documented in your Terraform state file (terraform.tfstate).

Taint Status returns tainted for (true) or blank for (false).

Syntax

ibmcloud schematics state list --id WORKSPACE_ID [--output json]

Command options



Schematics state list flags

 Flag Required / Optional Description 

 --id or -i Required The unique identifier of the workspace for which you want to list the IBM Cloud resources that are documented in the Terraform state file. To find the ID of a workspace, run ibmcloud schematics workspace list command.
Use these boards to gain insight on your VMware environment.



Table 6. Predefined boards

 Board name Description 

 Auth requests to the VMware Appliance Use this board to see an overview of authorization requests to VMware. 
 vCenter logs Use this board to see the number of VCenter log entries over time. 
 VMware Overview Use this board to see a breakdown of logs by app. 



Zoom

![Sample VMware board](https://cloud.ibm.com/docs-content/v1/content/f61dbc5d84bf0c89e477a05cab04c72f429e1b7a/log-analysis/images/vmware-sample-board.png)

Figure 1. Sample VMWare board





 Predefined screens 

Use this screen to gain insight on your VMware environment.



Table 7. Predefined screen

 Screen name Description 

 VMware Overview Use this screen to get an overview of your VMware environment. 







 Predefined exclusion filters 

A sample [exclusion filter](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-exclusion_rules) is available to exclude log lines that are not needed for your use. Excluding extraneous log lines can help you manage cost.





 Predefined parsing templates 

Predefined [parsing templates](https://docs.mezmo.com/docs/create-a-parsing-template) are available that can be used when building additional views, boards, and screens to parse and format log lines. You can [select](https://docs.mezmo.com/2.8/docs/parse-logs-with-custom-templates) whether a configured parsing template is applied or ignored.





 Learn more about VMware logging