Lesson 002 · Ansible and RHCE Automation Learning Path

Install Ansible Development Tools on RHEL 10

· Published · 6 min read

Labelled Ansible control node workflow through inventory playbook modules SSH managed nodes idempotent second run verification failure evidence and safe rollback

The control node needs an attributable Ansible version, local documentation, linting tools and a clear support boundary between ansible-core, AAP and community content. The useful question is not whether the playbook finished; it is whether another operator can explain the selected hosts, inputs, module decisions, changes, failures and rollback from retained evidence.

Inherited lab checkpoint and starting evidence

Begin with the accepted checkpoint from the preceding lesson. Confirm both managed nodes answer the inventory and preserve the current project commit before changing this layer.

pwd
ansible --version
ansible-config dump --only-changed
ansible-inventory --graph
git status --short

Capture this output before changing the supported Ansible development toolchain. Keep host keys, vault passwords, private keys and tokens out of terminal transcripts and Git. The examples use control.example.test, nodea.example.test and nodeb.example.test; replace them only with identities verified in your own inventory.

Understand the supported Ansible development toolchain

QuestionOperator decisionEvidence
ScopeWhich hosts and groups should receive the change?Inventory graph and explicit limit
InputWhere does each value originate?Variable inspection without secret disclosure
StateWhich module expresses the required result?Module documentation and diff
FailureWhat must stop, continue or recover?Recap, registered result and managed-node logs
PersistenceDoes the result survive service restart or reboot?Second run and client-side acceptance

Prepare the project safely

cat /etc/redhat-release
sudo subscription-manager repos --list-enabled
sudo dnf info ansible-core ansible-navigator ansible-lint
sudo dnf install -y ansible-core ansible-navigator ansible-lint git-core
ansible --version
ansible-navigator --version
ansible-lint --version

Work in a dedicated Git repository, inspect configuration precedence and commit no generated secrets. Use a named inventory and an explicit limit until host selection is proven.

Build the complete working example

[defaults]
inventory = ./inventories/lab.yml
roles_path = ./roles
collections_path = ./collections
interpreter_python = auto_silent
retry_files_enabled = false

[privilege_escalation]
become = false

The first project configuration uses relative paths inside one repository and does not silently enable privilege escalation. The installed command output records executable, Python and configuration paths.

Run, inspect and repeat

ansible-playbook --syntax-check -i inventories/lab.ini playbooks/site.yml
ansible-playbook --check --diff -i inventories/lab.ini playbooks/site.yml
ansible-playbook -i inventories/lab.ini playbooks/site.yml
ansible-playbook -i inventories/lab.ini playbooks/site.yml

The first run may report a controlled change. The second run should normally report changed=0 for the same desired state. If it changes again, identify the non-idempotent task rather than accepting noisy automation as normal.

Interpret the execution result

SignalHealthy meaningWhat a different result means
okTask inspected state and required no changeConfirm this was the intended host and state
changedModule made a declared changeReview diff and handler notification
failedTask could not establish its contractRead module message and managed-node evidence
unreachableConnection or transport failed before task executionCheck inventory, SSH, host key, route and Python
rescued or ignoredPlay continued under explicit failure policyEnsure the exception is visible and owned

Read the recap as a starting point, not as the acceptance test. A green play can still select the wrong host, install an unintended version, expose a service on the wrong interface or leave a change that disappears after reboot. Tie each requirement to evidence from the managed node and, where practical, to a client-side test. Keep the command, relevant output, inventory limit and Git revision together so another administrator can reproduce the decision.

When a run fails, resist changing several layers at once. First confirm inventory selection and transport, then privilege, input data, module arguments, managed-node state and finally the application response. Make one attributable correction and rerun the smallest safe scope. This preserves the causal evidence that disappears when shell commands, manual edits and repeated full-fleet runs are mixed together.

Practical use cases

Use caseImplementation choiceAcceptance
Supported CLI labInstall from approved RHEL/AAP contentPackage signatures and versions are recorded
Community comparisonUse a separate disposable environmentSupport differences are explicit and do not alter the course baseline
Narrow rolloutUse --limit and serial execution before the complete groupOnly intended hosts change and availability remains inside its budget
Dependency outageStop the named lab dependency and retain the failed resultFailure is visible, bounded and recoverable without manual drift

Two shells run different Ansible versions

A user-level pip installation shadows the RPM executable in one shell while automation jobs use the supported package. Capturing command -V, executable path and Python location exposes the split before module behavior diverges.

Troubleshoot by symptom

SymptomInspect firstCorrection
Command not foundPATH and RPM ownershipUse command -V and dnf provides
Collection incompatibleansible-core range in collection metadataPin a compatible supported content set
Host is unreachableInventory variables, DNS, SSH host key and PythonRepair connection ownership before changing the play
Second run changes againDiff, volatile input and task semanticsReplace imperative work with a stable desired-state test

Unsafe shortcuts and recovery boundaries

  • Unsafe: installing privileged Python packages from an unreviewed index bypasses RPM provenance.
  • Unsafe: mixing system RPM and user pip dependencies makes execution irreproducible.
  • Unsafe: using latest tags prevents a later operator from reconstructing the tested toolchain.

Production operation and rollback

Store the reviewed project in Git, pin external content, separate inventory data from secrets and promote the same commit through environments. Monitor unreachable, failed, rescued, ignored and changed results separately.

ansible-playbook --syntax-check -i inventories/lab.ini playbooks/rollback.yml
ansible-playbook --check --diff --limit nodea.example.test -i inventories/lab.ini playbooks/rollback.yml
ansible-playbook --limit nodea.example.test -i inventories/lab.ini playbooks/rollback.yml

Rollback is an automation path with its own test, not a promise to edit hosts manually after failure. Preserve the previous artifact, limit the host pattern, execute serially where availability requires it and verify the restored service from the client side.

Knowledge checks with explained answers

What is ansible-core?
The command-line engine, language and builtin collection foundation.
What does AAP add?
Supported content, execution environments, controller and enterprise lifecycle capabilities.
Why record Python paths?
The controller interpreter determines available libraries and behavior.
What should the second run prove?
The desired state is already present, so state-based tasks normally report no changes.
Why use FQCN module names?
They identify the collection that owns the module and avoid ambiguous short names.
Is check mode proof of a safe change?
No. Module support varies and check mode cannot predict every external effect.
Why apply a host limit first?
It proves inventory selection and reduces the blast radius of a mistaken pattern.
What belongs in Git?
Reviewed automation source and non-secret inventory data, never vault passwords, private keys or tokens.

Guided lab and independent challenge

  1. Recreate the starting state on nodea and nodeb and record the inventory graph.
  2. Run syntax and check mode against nodea only; explain every predicted change.
  3. Run the play against both nodes and verify the result from the service or client side.
  4. Run it again and investigate any unexplained change.
  5. Inject the lesson-specific failure, capture the failed layer and execute the reviewed recovery.
  6. Complete the same end state from a fresh Git checkout without copying commands from the article.

Repeat the challenge against fresh nodes. The completed state, not a remembered command sequence, is the assessment target. Save syntax output, first and second recaps, a negative test and the rollback result.

Primary references

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