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Course Outline
1 Developing Playbooks with Ansible Automation Platform
- The functions of the automation controller, automation hub, platform gateway, and execution environments.
- Preparing developer tools, including Git, the Ansible extension for VS Code, and ansible-lint.
- Executing playbooks using ansible-navigator in both interactive and stdout modes.
- Managing project files within Git using branches, commits, pushes, and pulls.
- Structuring playbooks, roles, and projects to ensure readability, reusability, and ease of maintenance.
2 Utilising Content Collections and Execution Environments
- Collection namespaces, fully qualified collection names, and content dependencies.
- Locating collections in Red Hat automation hub, private automation hub, and Ansible Galaxy.
- Installing required collections using ansible-galaxy and requirements files.
- Selecting execution environments and inspecting the contained tools and collections.
- Understanding collection availability within execution environments and via project content paths.
3 Executing Playbooks via Automation Controller
- Utilising the unified platform interface to manage and initiate automation tasks.
- The interrelationships between organisations, projects, inventories, credentials, and job templates.
- Connecting Git-based automation projects and selecting appropriate execution environments.
- Initiating jobs and interpreting output, status, and execution errors.
4 Configuring Ansible and Automation Content Navigator
- How Ansible identifies configuration files and applies environment-variable overrides.
- Inspecting effective settings using ansible-config and ansible-navigator config.
- Configuring execution environment images, pull behaviour, execution mode, and logging within ansible-navigator.yml.
- Diagnosing configuration discrepancies that impact playbook development and execution.
5 Managing Inventories and Inventory Variables
- Creating YAML inventories and converting existing INI inventory structures.
- Organising host and group variables within host_vars and group_vars directories.
- Utilising host aliases and connection variables such as ansible_host, ansible_user, and ansible_connection.
- Generating inventory data through dynamic inventory plug-ins.
- Combining multiple inventory sources and verifying the resulting hosts, groups, and variables.
6 Controlling and Optimising Task Execution
- Managing privilege escalation with become at appropriate playbook levels.
- Understanding execution order across pre_tasks, roles, tasks, handlers, and post_tasks.
- Controlling handlers via notify, listen, and meta: flush_handlers.
- Selecting specific tasks using tags, including the special always and never tags.
- Reviewing performance through fact-gathering settings, caching, forks, SSH pipelining, and callback plug-ins.
7 Transforming Data with Filters and Plug-ins
- Applying Jinja2 filters to strings, lists, dictionaries, defaults, and data types.
- Retrieving external data using lookup plug-ins and query.
- Processing structured data with loops, subelements, dict2items, product, and loop_control.
- Working with network-address data through ansible.utils.ipaddr filters.
- Preparing variables in the formats required by reusable roles and templates.
8 Coordinating Rolling Updates
- Delegating tasks and facts using delegate_to and delegate_facts, including local actions.
- Controlling parallel execution and host batches via forks and serial.
- Using max_fail_percentage and any_errors_fatal to manage the response to failures.
- Understanding the behaviour of run_once when updates are performed in batches.
- Coordinating the removal of hosts from and their return to a load balancer to minimise disruption during updates.
9 Creating Collections and Custom Execution Environments
- Organising collection content, including roles, modules, plug-ins, and supporting metadata.
- Defining collection metadata and compatibility details in galaxy.yml and meta/runtime.yml.
- Building collection packages and publishing them to a private automation hub.
- Defining dependencies in execution-environment.yml and building images with ansible-builder.
- Validating custom environments with ansible-navigator and deploying them with automation controller.
Requirements
- Previous training in Red Hat Enterprise Linux Automation with Ansible (AU294), or comparable practical proficiency.
- RHCE certification for Red Hat Enterprise Linux 9 or later, or equivalent Ansible knowledge and competence.
- Competence in operating the Linux command line, reading and writing YAML, and authoring basic Ansible playbooks.
- Proficiency with Git repositories and fundamental version-control workflows.
28 Hours
Testimonials (1)
Lots of exercises
