Section 3 - Summary and Call to Actions

You have completed the lab. This section will help you go further by documenting all the Ansible Playbooks and showing you how they work!

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Summary of Job Templates

Here’s a recap of the job templates and rulebooks used in the lab: (in chronological order):

Glossary:

RB = Rulebook (for Event-Driven Ansible) JT = Job Template (for executing Ansible Playbooks)

Name

Purpose

❌ Break Apache

JT simulates a failure in the Apache config

Web App

RB that watches Kafka queue for httpd disruption

⚙️ Apache Service Status Check

JT that checks the current state of Apache

🤖 RHEL AI: Analyze Incident

JT that uses RHEL AI to understand the error

📣 Notify via Mattermost

JT sends incident details to a chat system

⚙️ Build Ansible Lightspeed Job Template

JT that creates a JT to generate playbooks

🧠 Lightspeed Remediation Playbook Generator

JT that uses Lightspeed to generate the fix

🧾 Commit Fix to Gitea

JT pushes the generated playbook to Git

Sync Project

Workflow node that syncs Gitea project with dynamically created playbooks

⚙️ Build HTTPD Remediation Template

JT that creates another JT to apply the AI-generated fix

✅ Execute HTTPD Remediation

JT for Final fix (launched manually)

✅ Restore Apache

JT that Restores Apache to a known-good config

Now here is a walkthrough in the same chronological order:

❌ Break Apache

Purpose: Introduces a known bad directive in /etc/httpd/conf/httpd.conf to cause Apache failure

What happens next:

  • Filebeat detects the service issue

  • Kafka forwards the event

  • EDA rulebook matches and triggers AI Insights and Lightspeed prompt generation workflow

Ansible Playbook: Github Link

EDA Reponse

eda response

Web App

Purpose: Checks for httpd disruption in a Kafka queue

Ansible Rulebook

AI Insights and Lightspeed prompt generation workflow

Also known as the Enrichment Workflow for short!

enrichment_workflow

⚙️ Apache Service Status Check

Purpose: Checks whether Apache is active and logs its status.

What it does:

  • Runs systemctl status httpd

  • Collects output and logs it

  • Output is consumed by the next steps (Red Hat AI and Mattermost)

Ansible Playbook: Github Link

🤖 RHEL AI: Analyze Incident

Purpose: Uses Red Hat AI inference service to understand the failure message.

What it does:

  • Sends logs

  • Returns a natural-language description of the error

  • Suggests what kind of automation could fix it

Ansible Playbook: Github Link

📣 Notify via Mattermost

Purpose: Sends a human-readable incident message to a Mattermost channel.

What it does:

  • Formats the AI response and Apache status

  • Pushes it to a channel using Mattermost Webhook

  • Simulates integration with a real ITSM tool like ServiceNow

Ansible Playbook: Github Link

⚙️ Build Ansible Lightspeed Job Template

Purpose: Creates a new job template for the second workflow

What it does:

  • Create a job template with a survey that includes:

    • A user-defined prompt field

    • A pre-filled prompt from Red Hat AI output

Why this is important:

This allows Ansible Lightspeed to generate a remediation playbook without writing code manually. The job template created here will be used in the second workflow.

Ansible Playbook: Github Link

Remediation Workflow

remedation_workflow

🧠 Lightspeed Remediation Playbook Generator

Purpose: Runs the job template created in the previous workflow AI Insights and Lightspeed prompt generation to generate a playbook from the AI prompt.

What it does:

  • Uses Lightspeed to turn a prompt into a YAML playbook

  • Stores the result locally as lightspeed-response.yml

Ansible Playbook: Github Link

🧾 Commit Fix to Gitea

Purpose: Pushes the generated playbook to the Gitea Git repository.

What it does:

  • Authenticates with Gitea

  • Commits lightspeed-response.yml

  • Makes the playbook available for automation use

Ansible Playbook: Github Link

Sync Project to Lightspeed-Playbooks

Purpose: Syncs the git project from Gitea to Ansible Automation Platform

💡 This is not a Job Template, but a built-in node that will sync Git projects within the workflow visualizer

⚙️ Build HTTPD Remediation Template

Purpose: Creates a new job template that uses the playbook pushed by Ansible Lightspeed to fix the Apache (httpd) service.

What it does:

  • Creates a new Job Template called Execute HTTPD Remediation

  • Uses the dynamically generated lightspeed-response.yml playbook

  • Sets up the credentials, inventory and prompt for limit

Ansible Playbook: Github Link

Execute HTTPD Remediation

Purpose Fix httpd on the RHEL webserver

What is does

  • Removes the bad syntax from the httpd configuration file

  • Restarts the httpd service

Ansible Playbook: This Job Template is dynamically generated from Ansible Lightspeed and stored in your Gitea instance. The Ansible Playbook should look similar to this:

- name: Fix httpd
  become: true
  hosts: all
  tasks:

    - name: Remove line that contains InvalidDirectiveHere
      ansible.builtin.lineinfile:
        path: /etc/httpd/conf/httpd.conf
        regexp: ^InvalidDirectiveHere
        state: absent

    - name: Restart httpd
      ansible.builtin.service:
        name: httpd
        state: restarted

✅ Restore Apache

💡 This Job Template is optional

Purpose If you want to return Apache to a good state (without running AIOps workflows), you can run the ✅ Restore Apache job template.

What it does

  • Should be mostly identical to what you see above for the Execute HTTPD Remediation

Ansible Playbook: Github Link

Call to action

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Here are some recommended nexst steps in your Ansible AIOps journey:

Are you ready to implement now?