vania-janet/multiturn-rag-retrieval-data huggingface dataset:
Configuring custom routes 

You must configure custom routes to ensure that ingress data traffic is routed through the Network Load Balancer (NLB) on its way to the Virtual Network Function (VNF) and target destination. In some cases, you might also require custom routes to ensure egress traffic is returned to the original client source.

After the NLB with routing mode is enabled and is in active state, you must create the necessary custom routes to ensure data traffic is routed through the NLB and VNFs.



1.  Gather the following information:



*  The subnet CIDR for the target (destination) resources. If the VNF is transparent, this value is typically the subnet where the workload virtual servers reside. If the VNF is nontransparent and acting as a proxy, this value might be the subnet CIDR for the VNF.
*  The subnet CIDR for the client (source) resources.



2.  Create ingress routing table routes that route data traffic destined for your target resources through the NLB's primary IP address.
3.  If you require an egress route, create an egress routing table route that routes data traffic that is destined for your source resources through the NLB.

In some cases, such as a nontransparent VNF setup to use Source NAT, you might not require an egress route since the VNF bypasses the NLB on the return trip to the source IP.



If the NLB fails over to the other node, the custom routes are automatically updated to hop to the new NLB IP address. For more information about custom routes, see [About routing tables and routes](https://cloud.ibm.com/docs/vpc?topic=vpc-about-custom-routes).
Getting started with IBM Spectrum Symphony 

IBM® Spectrum Symphony enables customers to deploy HPC clusters that use IBM Spectrum Symphony as a scheduling software. The deployment is performed by using Terraform and IBM Cloud Schematics as automation frameworks. The following steps outline the high-level flow of events that are performed:



1. Create a workspace with the Terraform code from IBM Cloud Schematics. This step defines the set of configuration properties that are used to perform the automation.
2. Generate a plan to confirm whether the configuration properties are valid, so that when you run the Terraform code, all of the resources are provisioned correctly. If the validation fails, fix the configuration properties and try again.
3. Apply a plan triggers the actual deployment of the IBM Cloud resources to have an HPC cluster up and running by the time the deployment completes. If the deployment fails, identify the reason for failure, fix the problem, and try again. If a change is needed to the configuration properties, it might be better to generate a plan again.



If you decide to deploy your IBM Spectrum Symphony cluster through the IBM Cloud catalog, when you click Install, the Generate Plan action is skipped, and the steps go from Create Workspace to Apply Plan directly. You need to enter values in the catalog that work for your permissions and IBM Cloud account. If the deployment fails, the Schematics UI can be used to fix the errors, and you can retry the Apply Plan step.

Before you can deploy your Spectrum Symphony cluster, you need to create or gather some information. To get started, complete the following steps.



 Step 1: Generate API key 

Generate an API key for your IBM Cloud account where the Spectrum Symphony cluster will be deployed. For more information, see [Managing user API keys](https://cloud.ibm.com/docs/account?topic=account-userapikey).





 Step 2: Create SSH key 

Create an SHH key in your IBM Cloud account. This is your SSH key that you will use to access the Symphony cluster.
In this tutorial, you are guided through the process of quickly getting started with these essential services to ensure the security and integrity of your content. Secure Content Store is comprised of the following services:



* Object Storage: a scalable and flexible storage solution that allows you to store and manage your data securely.
* Activity Tracker: a powerful tool that provides comprehensive visibility into the activities happening within your IBM Cloud environment and allows for ease of audit observability.
* Monitoring: to provide insights and information about what is happening with your data in your Secure Content Store.
* Key Protect: a Key Management Service that enables you to manage and protect your encryption keys in a secure and centralized manner.



Throughout the tutorial, you are provided with step-by-step instructions, along with helpful tips and best practices, which can help you set up a Secure Content Store more efficiently. So, let's get started!



 High level steps for the tutorial 



1. Set up Object Storage to store and manage your data securely.
2. Configure Activity Tracker for audit observability of relevant events.
3. Add Monitoring for insights and information about what is happening with your data.
4. Finally, use Key Protect to manage encryption keys to secure your data stored in Object Storage.









 Before you begin 

For this tutorial, you need:



* An [IBM Cloud® Platform account](https://cloud.ibm.com)
* An [instance of IBM Cloud Object Storage](http://cloud.ibm.com/catalog/services/cloud-object-storage) (must be a paid service plan instance)



Apply promotional code that is included below.

IBM Cloud is offering a $500 promotional credit to quickly get started with our Secure Content Store with IBM Cloud® Object Storage. The credit has a duration of 90 days against your metered consumption of Object Storage. To qualify for this offer you must be a new paid user of Cloud Object Storage.



1. Create or log into a IBM Cloud Paygo, Subscription account.
2. Within IBM Cloud console click Manage then Billing & Usage from the drop-down list.
3. Select Promotions and Credits from the navigation bar on the left.
4.
Why does the Ingress status show an ESSEF error? 

Virtual Private Cloud

Classic infrastructure

Satellite

  What’s happening 

When you check the status of your cluster's Ingress components by running the ibmcloud oc ingress status-report get command, you see an error similar to the following example.

The Opaque secret field expired or will expire soon (ESSEF).

  Why it’s happening 

You have secrets in your cluster that have fields which are either expired or are about to expire in the next 5 days.

  How to fix it 

Review the secrets in your cluster and update or remove them.



1.  List your secrets.

ibmcloud oc ingress secret ls
2.  Complete the steps depending on whether the secret fields are still needed or not. If the expiring secret field in the secret is still needed, ensure the corresponding secret in the IBM Cloud Secrets Manager instance has been updated and has a new expiry date. Then, update the secret field with the new values from IBM Cloud Secrets Manager by running the following command.

To view all the secrets in your IBM Cloud Secrets Manager instance, see [Accessing Secrets](https://cloud.ibm.com/docs/secrets-manager?topic=secrets-manager-access-secrets&interface=uiget-secret-value-ui).

ibmcloud oc ingress secret update
3.  If the secret in the secret field is expiring because it is no longer needed, run the ibmcloud oc ingress secret field rm command to remove it.
4.  If the issue persists, contact support. Open a [support case](https://cloud.ibm.com/docs/get-support?topic=get-support-using-avatar). In the case details, be sure to include any relevant log files, error messages, or command outputs.
Tell me about the restaurant
i want to know about you
who are the restaurant owners and what is their philosophy?
What's your story?
Where do you source your produce from?
Who is your head chef and what is the chef's background?
How many locations do you have?
do you cater or host functions on site?
Do you deliver?
Are you open for breakfast?
4. Click the Close![Close arrow](https://cloud.ibm.com/docs-content/v1/content/417db917d18067d9dcc4cf2612564a9a87c3ddc8/assistant/images/close_arrow.png) icon to finish adding the about_restaurant intent.



You added an intent and provided examples of utterances that real users might enter to trigger this intent.





 Add a dialog node that is triggered by the about_restaurant intent 

Add a dialog node that recognizes when the user input maps to the intent that you created in the previous step, meaning its condition checks whether your assistant recognized the about_restaurant intent from the user input.



1. Click the Dialog tab.
2. Find the General_Greetings node in the dialog tree.

You will add a node that checks for questions about the restaurant after this initial greeting node to reflect the flow you might expect to encounter in a normal conversation. For example, Hello. then Tell me about yourself.
3. Click the More![More options](https://cloud.ibm.com/docs-content/v1/content/417db917d18067d9dcc4cf2612564a9a87c3ddc8/assistant/images/kebab.png) icon on the General_Greetings node, and then select Add node below.

![Shows the Add node below menu opened from the #General_Greetings dialog node.]
Logging and monitoring Products that support storing, searching, analyzing, and monitoring log data and events. And, products that support reviewing and managing the operational workflow and processes being logged. 
 Mobile Products with specific or special utility for users creatings things to be used on mobile devices. 
 Networking Products that support or augment the linking of computers so they can operate interactively. 
 Security Products that provide the protection of stored data from theft, leakage, and deletion. 
 Storage Products that support data to be created, read, updated, and deleted. 









 Adding search keywords 

Add relevant keywords that enable your product to appear in search results when users search the catalog.



1. Click Enter words, phrases, and other key search terms associated with the product.
2. Enter one or more keywords for your product, and click Save.









 Defining your product page by using the console 

When users select your product from the catalog, they are directed to additional details, including a list of features and supporting media. These details are displayed on the About tab within your product page.



 Providing a list of product features 

Provide a list of features that highlights your product's attributes and benefits for users.

Use a descriptive title and 1-2 sentences for each feature. You want the information to be visually scannable for users.





 Providing a detailed description about your product 

Your detailed description explains the value of your product and what users gain by using it. The detailed description is displayed at the beginning of your product page in the catalog. You can expand on the short description for your catalog entry, but don't repeat the information you already provided.





 Providing media 

Provide links to high-quality images or videos to help illustrate what your product is, its value, and user benefits. The supported media types are images, videos in MP4 or WebM file format, and videos hosted on YouTube or Vimeo.

Some examples of effective media include an introductory walkthrough of your product, an explanation of what your product is and why users might want to use it, or a comparison of certain features.





 Providing your documentation link 

Your documentation link is used to direct users to your product's warranted documentation.







 Defining your catalog entry by using the API
Getting started with IBM Spectrum LSF 

IBM® Spectrum LSF enables customers to deploy HPC clusters that use IBM Spectrum LSF as a scheduling software. The deployment is performed by using Terraform and IBM Cloud Schematics as automation frameworks. The following steps outline the high-level flow of events that are performed:



1. Create a workspace with the Terraform code from IBM Cloud Schematics. This step defines the set of configuration properties that are used to perform the automation.
2. Generate a plan to confirm whether the configuration properties are valid, so that when you run the Terraform code, all of the resources are provisioned correctly. If the validation fails, fix the configuration properties and try again.
3. Apply a plan triggers the actual deployment of the IBM Cloud resources to have an HPC cluster up and running by the time the deployment completes. If the deployment fails, identify the reason for failure, fix the problem, and try again. If a change is needed to the configuration properties, it might be better to generate a plan again.



If you decide to deploy your IBM Spectrum LSF cluster through the IBM Cloud catalog, when you click Install, the Generate Plan action is skipped, and the steps go from Create Workspace to Apply Plan directly. You need to enter values in the catalog that work for your permissions and IBM Cloud account. If the deployment fails, the Schematics UI can be used to fix the errors, and you can retry the Apply Plan step.

Before you can deploy your Spectrum LSF cluster, you need to create or gather some information. To get started, complete the following steps.



 Step 1: Generate API key 

Generate an API key for your IBM Cloud account where the Spectrum LSF cluster will be deployed. For more information, see [Managing user API keys](https://cloud.ibm.com/docs/account?topic=account-userapikey).





 Step 2: Create SSH key 

Create an SSH key in your IBM Cloud account. This is your SSH key that you will use to access the LSF cluster. Ensure that the SSH key is present in the same resource group and region where the cluster is being provisioned.
Getting started with IBM Spectrum Scale 

With IBM® Spectrum Scale, you can deploy HPC clusters that use IBM Spectrum Scale as a storage solution. The deployment is performed by using Terraform and IBM Cloud Schematics as automation frameworks. The following steps outline the high-level flow of events:



1. Create a workspace on IBM Cloud Schematics that uses the [Terraform code](https://github.com/IBM/ibm-spectrum-scale-ibm-cloud-schematics) that is developed for this offering. This step defines the set of configuration properties that are used to perform the automation.
2. Generate a plan to confirm whether the configuration properties are valid, so that when you run the Terraform code, all of the resources are provisioned correctly. If the validation fails, fix the configuration properties and try again.
3. Apply a plan triggers the actual deployment of the IBM Cloud resources to have an HPC cluster up and running by the time the deployment completes. If the deployment fails, identify the reason for failure, fix the problem, and try again. If a change is needed to the configuration properties, it might be better to generate a plan again.



If instead of using IBM Cloud Schematics you decide to deploy your IBM Spectrum Scale cluster through the IBM Cloud catalog, when you click Install, the Generate plan action is skipped, and the steps go from Create workspace to Apply plan directly. You need to enter values in the catalog that work for your permissions and IBM Cloud account. If the deployment fails, the Schematics UI can be used to fix the errors, and you can retry the Apply Plan step.

Before you can deploy your Spectrum Scale cluster, you need to create or gather some information. To get started, complete the following steps.



 Step 1: Create SSH key 

Create SSH keys in your IBM Cloud account. You might need multiple SSH keys if you want to use different keys to access the bastion host, compute cluster, and storage cluster. Ensure that the SSH keys are present in the same resource group and region where the cluster is provisioned. The offering supports passing multiple, comma-separated SSH keys, if the cluster needs multiple SSH keys.
This is a required field that you set during initial onboarding, but can change if needed. You can find all of the available category values by using the [ibmcloud catalog offering category-options](https://cloud.ibm.com/docs/cli?topic=cli-manage-catalogs-plugincategory-options-offering) command.

Filters
: Choose from the set of filters on compliance, delivery method, deployment target, pricing plan, and more. These filters are used to help users quickly find products relevant to their business needs.

Industry
: Add up to five industry filters to target your product to specific users.

Keywords
: Provide relevant keywords that enable your product to appear in search results when users search for the product.

Logo URL
: Make sure that your product or company logo image is an SVG or PNG file that's a square image roughly sized at 32 x 32 pixels and does not appear blurry or pixelated.

Documentation URL
: Add a link to your product's public documentation.

Provider name
: Users can filter the catalog by the provider of a product. When you onboard a product to a private catalog, the provider name is set to Community by default. However, you can customize this field to display your company or organization name.

The preview of your catalog entry updates in real time as you make changes to the fields that display in the catalog entry, such as the product name, short description, and logo.
5. Review your catalog entry preview, and when you're happy with your changes, click Save.







 Adding product page information 

When users select your product from the catalog, they can review more details, including a list of features and supporting media. These details are displayed on the About page for your product.

Complete the following steps to add information to your product's About page:



1. Click Actions... > Edit product page.
2. Add or edit the following information:



* Click Description. Using common language, provide a unique description that includes the benefits and what your product can do for potential users. This description helps users understand why and how they can use your product.
* Click Features.
Configuring conditional streaming 

In an IBM Log Analysis instance, you can configure streaming exclusion rules through the UI to filter what data is streamed.



*  Log lines that match a streaming exclusion rule are not streamed.
*  When log lines are ingested, streaming exclusion rules are applied to log lines that are retained after the ingestion exclusion rules are applied.



You must have manager access to define exclusion rules.

Complete the following steps to define an exclusion rule:

Verify that each exclusion rule that you add behaves as expected. Improper configured exclusion rules can result in storing data not intended for storage.



1.  [Launch the IBM Log Analysis web UI](https://cloud.ibm.com/docs/services/log-analysis?topic=log-analysis-launch).
2.  Click the Settings icon ![Configuration icon](https://cloud.ibm.com/docs-content/v1/content/f61dbc5d84bf0c89e477a05cab04c72f429e1b7a/log-analysis/images/admin.png). Then select Streaming > Exclusion Rules.
3.  Select Add Rule. The Create a Rule section opens.
4.  Enter a name for the rule in the section What is this rule for?
5.  Enter the exclusion criteria by adding a query. For more information on how to build a query, see [Select the set of events to display through a view by applying a search query](https://cloud.ibm.com/docs/log-analysis?topic=log-analysis-viewsviews_step2).
6.  Click Save.
7.  After you configure an exclusion rule, verify that the exclusion rule behaves as you expect.

Check the query in a custom view by entering the search criteria in the search bar of the Everything view, and validating that the data that is displayed is the data that you want excluded.
Follow the steps to [gather credentials and certificates for your queue managers](https://cloud.ibm.com/docs/services/mqcloud?topic=mqcloud-mqoc_configure_chl_sslusing-the-mq-on-cloud-service-console-to-gather-credentials-and-certificates) and [create a keystore in a PKCS12 format](https://cloud.ibm.com/docs/mqcloud?topic=mqcloud-mqoc_configure_chl_sslmqoc_chl_ssl_keystore)







 Connecting to your remote queue managers 

To connect to your remote queue managers, a few environment variables must first be set. We want to make sure that the MQSERVER value is empty. This can be achieved with the following: unset MQSERVER

Assign the connection details and certificate gathered previously to MQCCDTURL and MQSSLKEYR:



* Linux:

export MQCCDTURL=/path/to/file/connection_info_ccdt.json
export MQSSLKEYR=/path/to/file/key
* Windows:

set MQCCDTURL=pathtofileconnection_info_ccdt.json
set MQSSLKEYR=pathtofilekey



With these variables set, you can use runmqsc to test that your setup is correct:

runmqsc -c -u <username> -w 60 <queue_manager_name>

When prompted, enter your apikey to authenticate, and you will be in the runmqsc console. Simply type quit to exit the mqsc terminal.





 dmpmqcfg to generate mqsc file 

The dmpmqcfg tool allows a user to create a copy of a queue manager's configuration, and saves it to a file. This file has multiple uses, such as a backup to help rebuild a queue manager if the configuration and log data are lost due to hardware failure and the queue manager is unable to restart or to be recovered from the log.
Your assistant recognizes that the question triggers the #restaurant_opening_hours intent, but ignores it and displays the prompt associated with the @sys-time slot again instead.



You successfully prevented the user from digressing away from the restaurant booking process.





 Step 4: Digressing to a node that does not return 

You can configure a dialog node to not go back to the node that your assistant digressed away from for the current node to be processed. To demonstrate this, you will change the digression setting for the restaurant hours node. In Step 2, you saw that after digressing away from the restaurant booking node to go to the restaurant opening hours node, your assistant went back to the restaurant booking node to continue with the reservation process. In this exercise, after you change the setting, you will digress away from the Job opportunities dialog to ask about restaurant opening hours and see that your assistant does not return to where it was.



1. Click to open the Restaurant opening hours node.
2. Click Customize, and then click the Digressions tab.
3. Expand the Digressions can come into this node section, and deselect the Return after digression checkbox. Click Apply, and then click ![Close](https://cloud.ibm.com/docs-content/v1/content/a2b18c153837bce00a5b4de496e4b4ca64bbf56e/assistant-data/images/close.png) to close the node edit view.
4. Click Clear in the Try it out pane to reset the dialog.
5. To engage the Job opportunities dialog node, type I'm looking for a job.

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.