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Course Outline
1 Developing playbooks with Ansible Automation Platform
- The functions of automation controller, automation hub, platform gateway, and execution environments.
- Preparing development tools, such as Git, the Ansible extension for VS Code, and ansible-lint.
- Executing playbooks using ansible-navigator in interactive and stdout modes.
- Managing project files in Git via branches, commits, pushes, and pulls.
- Organizing playbooks, roles, and projects to enhance readability, reusability, and maintainability.
2 Utilizing content collections and execution environments
- Collection namespaces, fully qualified collection names, and content dependencies.
- Locating collections within Red Hat automation hub, private automation hub, and Ansible Galaxy.
- Installing necessary collections using ansible-galaxy and requirements files.
- Choosing an execution environment and examining the tools and collections it includes.
- Comprehending collection availability within execution environments and via project content paths.
3 Executing playbooks through automation controller
- Utilizing the unified platform interface to manage and initiate automation.
- The connections between organizations, projects, inventories, credentials, and job templates.
- Linking Git-based automation projects and selecting execution environments.
- Initiating jobs and analyzing output, status, and execution errors.
4 Configuring Ansible and automation content navigator
- How Ansible identifies configuration files and applies environment-variable overrides.
- Reviewing effective settings with ansible-config and ansible-navigator config.
- Configuring execution environment images, pull behavior, execution mode, and logging in ansible-navigator.yml.
- Identifying configuration discrepancies that impact playbook development and execution.
5 Managing inventories and inventory variables
- Creating YAML inventories and converting existing INI inventory structures.
- Arranging host and group variables within host_vars and group_vars directories.
- Employing host aliases and connection variables like ansible_host, ansible_user, and ansible_connection.
- Generating inventory data via dynamic inventory plug-ins.
- Merging inventory sources and verifying the resulting hosts, groups, and variables.
6 Controlling and optimizing task execution
- Managing privilege escalation with become at suitable playbook levels.
- Understanding execution order across pre_tasks, roles, tasks, handlers, and post_tasks.
- Regulating handlers using notify, listen, and meta: flush_handlers.
- Selecting tasks with tags, including the special always and never tags.
- Assessing performance using 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.
- Handling network-address data via ansible.utils.ipaddr filters.
- Formatting variables to meet the requirements of reusable roles and templates.
8 Coordinating rolling updates
- Delegating tasks and facts with delegate_to and delegate_facts, including local actions.
- Controlling parallel execution and host batches with forks and serial.
- Using max_fail_percentage and any_errors_fatal to manage failure responses.
- Understanding the behavior of run_once when updates are performed in batches.
- Coordinating host removal from and return to a load balancer to minimize disruption during updates.
9 Creating collections and custom execution environments
- Organizing collection content, including roles, modules, plug-ins, and supporting metadata.
- Defining collection metadata and compatibility information in galaxy.yml and meta/runtime.yml.
- Building collection packages and publishing them to the private automation hub.
- Defining dependencies in execution-environment.yml and building images with ansible-builder.
- Validating custom environments with ansible-navigator and using them with the automation controller.
Requirements
- Previous training in Red Hat Enterprise Linux Automation with Ansible (AU294) or equivalent practical proficiency.
- RHCE certification on Red Hat Enterprise Linux 9 or newer, or comparable Ansible knowledge and abilities.
- Competence in using the Linux command line, reading and writing YAML, and constructing basic Ansible playbooks.
- Knowledge of Git repositories and fundamental version-control procedures.
28 Hours
Testimonials (1)
Lots of exercises
