vania-janet/multiturn-rag-retrieval-data huggingface dataset:
ibmcloud catalog search <QUERY> [--catalog CATALOG] [--type TYPE] [-r, --region REGION] [-k, --kind KIND] [--fields FIELDS] [-p, --price PRICE] [-t, --tag TAG] [--sort-by PROPERTY] [--col COLUMNS] [--reverse] [--output TYPE] [--global]



 Command options 

--type TYPE (optional)
: Optional. Default is services. Valid options are services and software.

--catalog CATALOG (optional)
: Search for the software published by your account. Specify the catalog name or ID to search by.

--output FORMAT (optional)
: Specifies output format. Default is terminal compatible and the only alternative options are json and csv.

--kind KIND (optional)
: Flag is only valid for services search. Provide a comma-separated list of types of products.

--region REGION (optional)
: Flag is only valid for services search. Provide a comma-separated list of regions. Run ibmcloud cs regions to return a valid list.

--price PRICE (optional)
: Flag is only valid for services search. Provide a comma-separated list of pricing types.

--tag TAG (optional)
: Flag is only valid for services search. Provide a comma-separated list of tags.

--global (optional)
: Flag is only valid for services search. Use it to operate in global scope.

--sort-by TYPE (optional)
: Flag is only valid for services search and used to order the search result. Available options are name, displayname, kind, provider, created, and updated.

--reverse (optional)
: Flag is only valid for services search. Use it to reverse the sorting order.

--fields FIELDS (optional)
: Flag is only valid for services search. Customize the table, for example, --fields name,kind,metadata.service.iam_compatible.





 Output 

The command returns the following output:

Name ID Category
replicas: <number_of_replicas>
selector:
matchLabels:
app: <app_name>
template:
metadata:
labels:
app: <app_name>
spec:
containers:
- name: <app_name>
image: <region>.icr.io/<project>/<image>:<tag>
Show more

<deployment>
: Give your deployment a name.

<number_of_replicas>
: Enter the number of replica pods that the deployment creates.

app: <app_name>
: Use the name of your app as a label for the container.

name: <app_name>
: Give your container a name, such as the name of your app label.

image: <region>.icr.io/project>/image>:tag>
: Replace the image URL variables with the information for your image:
: region>: The regional IBM Cloud Container Registry API endpoint for the registry domain. To list the domain for the region that you are logged in to, run ibmcloud cr api.
: namespace>: The registry namespace. To get your namespace information, run ibmcloud cr namespace-list.
: image>:tag>: The image and tag that you want to use for your container. To list the images that are available in your registry namespace, run ibmcloud cr images.
3. Create the deployment in your cluster.

oc apply -f <deployment>.yaml







 Deploying containers from an encrypted image 

Deploy containers from an encrypted image to your cluster by using the Image Key Synchronizer cluster add-on.

In clusters that run Red Hat OpenShift 4.5 or later, [the CRI-O container runtime supports using encrypted container images](https://github.com/cri-o/cri-o/blob/main/tutorials/decryption.md). Encrypted container images are Open Container Initiative (OCI) images that contain encrypted layer contents.
Upgrading vCenter Server vSphere software from vSphere 6.5 or 6.7 to 7.0 

The VMware vCenter Server® offering is a fully automated deployment solution for the VMware vSphere® SDDC stack. It includes vSphere, VMware NSX®, and optionally vSAN™ products. While vCenter Server automates the most challenging parts of deploying, expanding, and contracting a VMware® SDDC-based infrastructure, it is not a managed service.

vCenter Server has a policy of supporting the automation of VMware® SDDC software versions within the range of n-1. If you want to continue to benefit from the VMware Solutions automation, you must use the most recent version of vCenter Server.

Adding and removing services is not supported for instances that are upgraded to vSphere 7. Due to this limitation and the architecture improvements, IBM Cloud® suggests that you deploy a new vSphere 7 instance and migrate your current network topology and workloads to the new instance.

If your vCenter Server instance is at a version earlier than the version level that is needed for automation support, it continues to be supported as required by the VMware support policy. However, your instance might not function with the current IBM Cloud for VMware Solutions automation.

You must apply patches and upgrade the VMware software periodically, over the lifecycle of a vCenter Server instance. This maintenance includes upgrading the VMware SDDC software to a version that is supported by the IBM Cloud for VMware Solutions automation.

The following procedure provides the steps that are required to convert a VMware vSphere 6.5 or 6.7-based instance to a VMware vSphere 7-based instance.



 Important considerations 



* You are responsible to ensure that all VMware ESXi™ servers have proper firmware and drivers to support vSphere 7. Broadwell and SkyLake servers are not supported. Research and plan carefully for Cascade Lake servers.
* IBM Cloud supports only Cascade Lake bare metal servers for newly deployed vSphere 7 instances.
* If you add clusters or hosts to a vSphere 7 instance from the VMware Solutions console, only Cascade Lake bare metal servers are provisioned.
Make a POST/ tags call to [create an access management tag](https://cloud.ibm.com/apidocs/taggingcreate-tag) and specify the tag in the tag_names property. For an example, see [Creating access management tags with the API](https://cloud.ibm.com/docs/account?topic=account-tag&interface=apicreate-access-api).





 Step 2 - Add an access management tag to a file share 

Add an access management tag to an existing file share or when you [create a file share](https://cloud.ibm.com/docs/vpc?topic=vpc-file-storage-create). For an existing file share:



1. In the [IBM Cloud console)](https://cloud.ibm.com/login), Go to the Resource list, and select a file share under Storage resources.
2. In the Access management tags field, type the name of an access management tag that you previously created. The tag appears as you type.
3. Save your changes.







 Step 3 - Create an access group and assign access to users 

After you create an access management tag and apply it to a file share, complete the following steps to assign access and add users:



1. [Create an access group](https://cloud.ibm.com/docs/account?topic=account-access-tags-tutorialtagging-create-access-group). Access groups are assigned to policies that grant roles and permissions to the members of that group. You assign access to the specific access management tags for the file service. For more information about access groups, see [Setting up access groups](https://cloud.ibm.com/docs/account?topic=account-groups&interface=ui).
2. [Assign an access policy to a group](https://cloud.ibm.com/docs/account?topic=account-access-tags-tutorialtagging-assign-policy).
3.
If an incomplete multipart upload is not aborted, the partial upload continues to use resources. Interfaces should be designed with this point in mind, and clean up incomplete multipart uploads.

There are three phases to uploading an object in multiple parts:



1. The upload is initiated and an UploadId is created.
2. Individual parts are uploaded specifying their sequential part numbers and the UploadId for the object.
3. When all parts are finished uploading, the upload is completed by sending a request with the UploadId and an XML block that lists each part number and its respective Etag value.







 Initiate a multipart upload 

A POST issued to an object with the query parameter upload creates a new UploadId value, which is then be referenced by each part of the object being uploaded.

Personally Identifiable Information (PII): When naming buckets or objects, do not use any information that can identify any user (natural person) by name, location, or any other means.

Not all operations are supported in Satellite environments. For details, see [supported Satellite APIs](https://cloud.ibm.com/docs/cloud-object-storage?topic=cloud-object-storage-apis-cos-satellite)

Syntax

POST https://{endpoint}/{bucket-name}/{object-name}?uploads= path style
POST https://{bucket-name}.{endpoint}/{object-name}?uploads= virtual host style

Example request

POST /some-bucket/multipart-object-123?uploads= HTTP/1.1
Authorization: Bearer {token}
Host: s3.us.cloud-object-storage.appdomain.cloud

Example request

POST /some-bucket/multipart-object-123?uploads= HTTP/1.1
Authorization: 'AWS4-HMAC-SHA256 Credential={access-key}/{date}/{region}/s3/aws4_request,SignedHeaders=host;x-amz-date;,Signature={signature}'
--env-from-secret-rm, --env-sec-rm
: Remove environment variable references to full secrets by using the secret name. To remove individual key references to secrets, use the --env-rm option. This option can be specified multiple times. This value is optional.

--env-rm
: Remove environment variable references to the key of a key-value pair in a configmap or secret. To remove individual key references and literal values, specify the name of the key. This option can be specified multiple times. This value is optional.

--ephemeral-storage, --es
: The amount of ephemeral storage to set for the instance of the application. Use M for megabytes or G for gigabytes. This value is optional.

--force, -f
: Do not verify the existence of specified configmap and secret references. Configmap references are specified with the --env-from-configmap or --mount-configmap options. Secret references are specified with the --env-from-secret, --mount-secret or --registry-secret options. This value is optional. The default value is false.

--image, -i
: The name of the image that is used for this application. The format is REGISTRY/NAMESPACE/REPOSITORY:TAG where REGISTRY and TAG are optional. If REGISTRY is not specified, the default is docker.io. If TAG is not specified, the default is latest. This value is optional.

--max-scale, --max, --maxscale
: The maximum number of instances that can be used for this application. If you set this value to 0, the application scales as needed. The application scaling is limited only by the instances per the resource quota for the project of your application. See [Limits and quotas for Code Engine](https://cloud.ibm.com/docs/codeengine?topic=codeengine-limits). This value is optional. The default value is 0.

--memory, -m
Debugging Calico components 

Virtual Private Cloud

Classic infrastructure

 What’s happening 

You experience issues with Calico components such as pods that don't deploy or intermittent networking issues.

 How to fix it 

Increase the logging level of Calico components to gather more information about the issue.



 Increasing the log level for the calico-typha components 

Complete the following steps to increase the log level for the calico-typha component.



1. Run the following command to edit the calico-typha deployment.

kubectl edit deploy calico-typha -n kube-system
2. Change the TYPHA_LOGSEVERITYSCREEN environment variable from info to debug.

containers:
- env:
- name: TYPHA_LOGSEVERITYSCREEN
value: debug
3. Save and close the file to apply the changes and restart the calico-typha deployment.







 Increasing the log level for the calico-cni components 

Complete the following steps to increase the log level for the calico-cni component.



1. Run the following command to edit the calico-config ConfigMap.

kubectl edit cm -n kube-system calico-config
2. Change the cni_network_config > plugins > log_level environment variable to debug.

cni_network_config: |-
{
"name": "k8s-pod-network",
"cniVersion": "0.3.1",
"plugins": [ ! ! ! ! ! ! ! ! ! ! ! !
{
"type": "calico",
"log_level": "debug",
3. Save and close the file. The change won't take effect until the calico-node pods are restarted.4. Restart the calico-node pods to apply the changes.
Debugging Calico components 

Virtual Private Cloud

Classic infrastructure

 What’s happening 

You experience issues with Calico components such as pods that don't deploy or intermittent networking issues.

 How to fix it 

Increase the logging level of Calico components to gather more information about the issue.



 Increasing the log level for the calico-typha components 

Complete the following steps to increase the log level for the calico-typha component.



1. Run the following command to edit the calico-typha deployment.

oc edit deploy calico-typha -n calico-system
2. Change the TYPHA_LOGSEVERITYSCREEN environment variable from info to debug.

containers:
- env:
- name: TYPHA_LOGSEVERITYSCREEN
value: debug
3. Save and close the file to apply the changes and restart the calico-typha deployment.







 Increasing the log level for the calico-cni components 

Complete the following steps to increase the log level for the calico-cni component.



1. Run the following command to edit the calico-config ConfigMap.

oc edit cm -n calico-system cni-config
2. Change the cni_network_config > plugins > log_level environment variable to debug.

cni_network_config: |-
{
"name": "k8s-pod-network",
"cniVersion": "0.3.1",
"plugins": [ ! ! ! ! ! ! ! ! ! ! ! !
{
"type": "calico",
"log_level": "debug",
3. Save and close the file. The change won't take effect until the calico-node pods are restarted.4. Restart the calico-node pods to apply the changes.
oc rollout restart daemonset/calico-node -n calico-system
Your assistant responds by saying, We are always looking for talented people to add to our team. What type of job are you interested in?
6. Instead of answering this question, ask the bot an unrelated question. Type What time do you open?

Your assistant digresses away from the Job opportunities node to the Restaurant opening hours node to answer your question. Your assistant responds with The restaurant is open from 8:00 AM to 10:00 PM.

Unlike in the previous test, this time the dialog does not pick up where it was in the Job opportunities node. Your assistant does not return to the dialog that was in progress because you changed the setting on the Restaurant opening hours node to not return.

![Shows a conversation that does not return after a digression](https://cloud.ibm.com/docs-content/v1/content/a2b18c153837bce00a5b4de496e4b4ca64bbf56e/assistant-data/images/tut-dig-noreturn.png)



Congratulations! You have successfully digressed away from a dialog without returning.





 Summary 

In this tutorial you experienced how digressions work, and saw how individual dialog node settings can impact the digressions behavior.





 Next steps 

For help as you configure digressions for your own dialog, see [Digressions](https://cloud.ibm.com/docs/assistant-data?topic=assistant-data-dialog-runtimedialog-runtime-digressions).
Your assistant responds by saying, We are always looking for talented people to add to our team. What type of job are you interested in?
6. Instead of answering this question, ask the bot an unrelated question. Type What time do you open?

Your assistant digresses away from the Job opportunities node to the Restaurant opening hours node to answer your question. Your assistant responds with The restaurant is open from 8:00 AM to 10:00 PM.

Unlike in the previous test, this time the dialog does not pick up where it left off in the Job opportunities node. Your assistant does not return to the dialog that was in progress because you changed the setting on the Restaurant opening hours node to not return.

![Shows a conversation that does not return after a digression](https://cloud.ibm.com/docs-content/v1/content/417db917d18067d9dcc4cf2612564a9a87c3ddc8/assistant/images/tut-dig-noreturn.png)



Congratulations! You successfully digressed away from a dialog without returning.





 Summary 

In this tutorial you experienced how digressions work, and saw how individual dialog node settings can impact the digressions behavior.





 Next steps 

For help as you configure digressions for your own dialog, see [Digressions](https://cloud.ibm.com/docs/assistant?topic=assistant-dialog-runtimedialog-runtime-digressions).
LDAP directory 

Crawl records in an external directory that supports the Lightweight Directory Access Protocol (LDAP).

IBM Cloud Pak for Data

IBM Cloud Pak for Data only

This information applies only to installed deployments.

As the directory data is added to your collection, Discovery interprets and stores key attributes of each record according to the configuration that you specify. Later, you can find relevant records by filtering on the attributes that are of interest to you. For example, you can capture department and location information, and then filter records by location later.

For more information about the Lightweight Directory Access Protocol, see [RFC 4511](https://datatracker.ietf.org/doc/html/rfc4511).



 What documents are crawled 



* Each LDAP record is crawled and added to the collection as one document.
* All Discovery data source connectors are read-only. Regardless of the permissions that are granted to the crawl account, Discovery never writes, updates, or deletes any content in the original data source.







 Data source requirements 

In addition to the [data source requirements](https://cloud.ibm.com/docs/discovery-data?topic=discovery-data-collection-typesrequirements) for all installed deployments, your Salesforce data source must meet the following requirements:



* The LDAP directory data source supports connections to the following types of directories:



* IBM Security Directory Server
* Microsoft Active Directory (On premises only)
* Oracle Directory Server



* The LDAP directory data source collection does not support the following capabilities:



* Document-level security
* Mutual authentication. Verifying the server certificate is supported, but also verifying the client certificate is not.
* Proxy server access to the data source









 Prerequisite step 

When you set up the collection, you must provide details such as the LDAP host name and port, for your directory server type. For more information about how to discover these values, see the documentation from the vendor:



* [IBM Security Directory Server](https://www.ibm.com/docs/en/sdse/6.4.0?topic=do-security-directory-server-overview)
Note that even if your cluster runs an older version of Calico, you can still use calicoctl version 3.18 to run the commands in the following steps.

If you recently updated your classic cluster from Kubernetes version 1.18 to 1.19, the cluster uses the KDD datastore for Calico. Ensure that you follow the steps for 1.19 clusters to set the DATASTORE_TYPE environment variable to kubernetes and the KUBECONFIG environment variable to the kube-config file for your cluster. The old calicoctl.cfg points to outdated data in etcd that does not work with the following steps.
2. Check for any IP addresses that are incorrectly detected as in use by the Calico IPAM.

calicoctl ipam check
3. In the output, look for the section that contains the line Scanning for IPs that are allocated but not actually in use.... If IP addresses are allocated in IPAM but are not actually in use, continue to the next step to release them. In this example output, 181 IP addresses can be released.

...
Scanning for IPs that are allocated but not actually in use...
Found 181 IPs that are allocated in IPAM but not actually in use.
Scanning for IPs that are in use by a workload or node but not allocated in IPAM...
Found 0 in-use IPs that are not in active IP pools.
Found 0 in-use IPs that are in active IP pools but have no corresponding IPAM allocation.

Check complete; found 181 problems.
4. Release IP addresses from the Calico IPAM that were previously assigned to a pod endpoint. Note that after you lock the data store in the following steps, existing pods continue to run, but any pods that are created remain in the ContainerCreating state and can't start until you unlock the data store. This data store lock ensures that the IPAM records are not modified while you release IP addresses. For more information, see the [Calico open source documentation](https://docs.tigera.io/calico/latest/reference/calicoctl/ipam/check).
Creating and sharing a dashboard 

You can customize your dashboard in the IBM Cloud® console to ensure that what is displayed is relevant to you. The dashboards that you create can be scoped to specific resources. You can share the dashboards with users in your account as a way to group resources for specific projects or teams. When you create a new dashboard, you can start from scratch with a blank template or choose one of the other available templates.

IAM access policies are not required for users in your account to view a dashboard. You can share the dashboard link with users so they can view your dashboard.

Aside from being able to view dashboards, users can view resource details that are displayed within a dashboard widget only if they have the required access on the individual resource. For more information, see [IAM access](https://cloud.ibm.com/docs/account?topic=account-userroles).



 Creating a dashboard 

To begin creating a dashboard, complete the following steps:



1. In the IBM Cloud console, click the Actions icon ![Actions icon](https://cloud.ibm.com/docs-content/v1/content/4d8c6eec891cff72b666dc24bd3211810c77fb42/icons/action-menu-icon.svg), and select Create a dashboard.
2. Select a template from the available options, and then click Next.



* Blank: Create a dashboard from scratch by adding widgets that align with your workflow.
* Default: The default template offers a broad coverage of development, management, and infrastructure widgets.
* Development team: This template promotes team alignment and resource monitoring by prioritizing a development or DevOps workflow.
* Management: Optimized to provide a mix of billing, access management, and other administrative widgets.



3. Enter dashboard title. The title must be 30 characters or less.
4. Next, use the Dashboard settings pane to add relevant widgets to your dashboard. To add widgets, drag the widgets onto your dashboard.
5.
To cleanly destroy a cluster, see [Destroying resources](https://cloud.ibm.com/docs/hpc-spectrum-scale?topic=hpc-spectrum-scale-deleting-resources&interface=cli).
* What are trusted profiles and what permissions are required to set up the offering?

With Spectrum Scale, trusted profiles are used to set up granular authorization for applications that are running in compute resources; therefore, you are not required to create or use service IDs or API keys for the creation of compute resources.

The required set of permissions to create the compute resources are already added as part of the automation code. For more information, see [Creating trusted profiles](https://cloud.ibm.com/docs/account?topic=account-create-trusted-profile).
* Why did the destroy process fail to remove resources?

There are a few potential reasons why the destroy process failed to remove resources:



* The input parameter from the deployment value might have been changed for some reason and Schematics is looking for the existing value. Mismatch of values might cause the destroy action to fail.
* If other resources are manually created after deployment of the VPC and subnets through the offering and those resources are associated with the same VPC, the destroy action would fail.
* There might be issues on the IBM Cloud infrastructure side that cause the destroy action to fail.



* Why am I not able to see my data on the shared file system storage after stopping the storage nodes?

The IBM Spectrum Scale file system data resides on instance storage. In general, data that is stored on instance storage is ephemeral so stopping the storage node results in data loss. However, instance storage data is not lost when an instance is rebooted. For more information, see [Lifecycle of instance storage](https://cloud.ibm.com/docs/vpc?topic=vpc-instance-storageinstance-storage-lifecycle).
* Why do I see xxxhiddenxxx in the deployment output log instead of a variable name that I provided?