1. Goal and Boundaries

Deep Dive and Submission Example for Goal and Boundaries

A complete treatment of Goal and Boundaries contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Goal and Boundaries

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Goal and Boundaries

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Goal and Boundaries is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Goal and Boundaries

This section is not just a definition. In the workshop, Goal and Boundaries is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Goal and Boundaries

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Goal and Boundaries

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Goal and Boundaries

Operations Note for Goal and Boundaries

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Goal and Boundaries is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

2. Architecture Overview

Deep Dive and Submission Example for Architecture Overview

A complete treatment of Architecture Overview contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Architecture Overview

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Architecture Overview

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Architecture Overview is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Architecture Overview

This section is not just a definition. In the workshop, Architecture Overview is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Architecture Overview

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Architecture Overview

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Architecture Overview

Operations Note for Architecture Overview

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Architecture Overview is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

3. Control Node

Deep Dive and Submission Example for Control Node

A complete treatment of Control Node contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Control Node

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Control Node

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Control Node is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Control Node

This section is not just a definition. In the workshop, Control Node is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Control Node

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Control Node

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Control Node

Operations Note for Control Node

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Control Node is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

4. Managed Nodes

Deep Dive and Submission Example for Managed Nodes

A complete treatment of Managed Nodes contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Managed Nodes

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Managed Nodes

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Managed Nodes is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Managed Nodes

This section is not just a definition. In the workshop, Managed Nodes is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Managed Nodes

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Managed Nodes

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Managed Nodes

Operations Note for Managed Nodes

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Managed Nodes is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

5. Inventory and Targeting

Deep Dive and Submission Example for Inventory and Targeting

A complete treatment of Inventory and Targeting contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Inventory and Targeting

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Inventory and Targeting

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Inventory and Targeting is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Inventory and Targeting

This section is not just a definition. In the workshop, Inventory and Targeting is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Inventory and Targeting

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Inventory and Targeting

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Inventory and Targeting

Operations Note for Inventory and Targeting

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Inventory and Targeting is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

6. Playbooks, Plays, and Tasks

Deep Dive and Submission Example for Playbooks, Plays, and Tasks

A complete treatment of Playbooks, Plays, and Tasks contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Playbooks, Plays, and Tasks

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Playbooks, Plays, and Tasks

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Playbooks, Plays, and Tasks is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Playbooks, Plays, and Tasks

This section is not just a definition. In the workshop, Playbooks, Plays, and Tasks is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Playbooks, Plays, and Tasks

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Playbooks, Plays, and Tasks

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Playbooks, Plays, and Tasks

Operations Note for Playbooks, Plays, and Tasks

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Playbooks, Plays, and Tasks is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

7. Modules, Plugins, and Collections

Deep Dive and Submission Example for Modules, Plugins, and Collections

A complete treatment of Modules, Plugins, and Collections contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Modules, Plugins, and Collections

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Modules, Plugins, and Collections

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Modules, Plugins, and Collections is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Modules, Plugins, and Collections

This section is not just a definition. In the workshop, Modules, Plugins, and Collections is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Modules, Plugins, and Collections

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Modules, Plugins, and Collections

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Modules, Plugins, and Collections

Operations Note for Modules, Plugins, and Collections

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Modules, Plugins, and Collections is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

8. Variables, Facts, and Templates

Deep Dive and Submission Example for Variables, Facts, and Templates

A complete treatment of Variables, Facts, and Templates contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Variables, Facts, and Templates

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Variables, Facts, and Templates

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Variables, Facts, and Templates is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Variables, Facts, and Templates

This section is not just a definition. In the workshop, Variables, Facts, and Templates is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Variables, Facts, and Templates

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Variables, Facts, and Templates

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Variables, Facts, and Templates

Operations Note for Variables, Facts, and Templates

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Variables, Facts, and Templates is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

9. Roles and Reuse

Deep Dive and Submission Example for Roles and Reuse

A complete treatment of Roles and Reuse contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Roles and Reuse

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Roles and Reuse

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Roles and Reuse is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Roles and Reuse

This section is not just a definition. In the workshop, Roles and Reuse is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Roles and Reuse

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Roles and Reuse

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Roles and Reuse

Operations Note for Roles and Reuse

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Roles and Reuse is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

10. Execution Flow

Deep Dive and Submission Example for Execution Flow

A complete treatment of Execution Flow contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Execution Flow

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Execution Flow

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Execution Flow is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Execution Flow

This section is not just a definition. In the workshop, Execution Flow is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Execution Flow

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Execution Flow

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Execution Flow

Operations Note for Execution Flow

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Execution Flow is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

11. Privilege Escalation

Deep Dive and Submission Example for Privilege Escalation

A complete treatment of Privilege Escalation contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Privilege Escalation

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Privilege Escalation

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Privilege Escalation is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Privilege Escalation

This section is not just a definition. In the workshop, Privilege Escalation is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Privilege Escalation

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Privilege Escalation

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Privilege Escalation

Operations Note for Privilege Escalation

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Privilege Escalation is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

12. Vault and Secret Flows

Deep Dive and Submission Example for Vault and Secret Flows

A complete treatment of Vault and Secret Flows contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Vault and Secret Flows

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Vault and Secret Flows

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Vault and Secret Flows is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Vault and Secret Flows

This section is not just a definition. In the workshop, Vault and Secret Flows is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Vault and Secret Flows

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Vault and Secret Flows

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Vault and Secret Flows

Operations Note for Vault and Secret Flows

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Vault and Secret Flows is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

13. AWX and Automation Controller

Deep Dive and Submission Example for AWX and Automation Controller

A complete treatment of AWX and Automation Controller contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for AWX and Automation Controller

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for AWX and Automation Controller

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, AWX and Automation Controller is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of AWX and Automation Controller

This section is not just a definition. In the workshop, AWX and Automation Controller is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for AWX and Automation Controller

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for AWX and Automation Controller

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for AWX and Automation Controller

Operations Note for AWX and Automation Controller

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

AWX and Automation Controller is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

14. Execution Environments

Deep Dive and Submission Example for Execution Environments

A complete treatment of Execution Environments contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Execution Environments

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Execution Environments

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Execution Environments is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Execution Environments

This section is not just a definition. In the workshop, Execution Environments is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Execution Environments

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Execution Environments

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Execution Environments

Operations Note for Execution Environments

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Execution Environments is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

15. Operations and Security Decisions

Deep Dive and Submission Example for Operations and Security Decisions

A complete treatment of Operations and Security Decisions contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Operations and Security Decisions

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Operations and Security Decisions

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Operations and Security Decisions is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Operations and Security Decisions

This section is not just a definition. In the workshop, Operations and Security Decisions is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Operations and Security Decisions

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Operations and Security Decisions

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Operations and Security Decisions

Operations Note for Operations and Security Decisions

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Operations and Security Decisions is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

16. Review Checklist

Deep Dive and Submission Example for Review Checklist

A complete treatment of Review Checklist contains both a technical artifact and a short domain explanation. The artifact can be an inventory, a playbook, a role, a template, a Vault file with dummy values, a CI configuration, or an evidence file. The explanation states why this path was chosen and which alternative was deliberately not used.

Minimal Artifacts for Review Checklist

submission/
  inventory/hosts.yml
  playbooks/site.yml
  evidence.md
  cleanup.md

For roles or collections, the structure expands:

submission/
  ansible.cfg
  collections/requirements.yml
  inventory/hosts.yml
  roles/<role>/defaults/main.yml
  roles/<role>/tasks/main.yml
  roles/<role>/handlers/main.yml
  playbooks/site.yml
  evidence.md

Grading Expectation for Review Checklist

A reviewable solution must be understandable to people who did not run it themselves. Screenshots or uncommented terminal output are not enough. Good evidence states context, command, relevant output, and assessment. If a module behaves differently in check mode, that limitation is explicitly documented.

Transfer to Real Teams

In a team context, Review Checklist is connected to code review, branch rules, CI, role ownership, release notes, and operational approval. Production-like usage also documents ownership, maintenance window, monitoring, alerting, and rollback criteria.

Practical Relevance of Review Checklist

This section is not just a definition. In the workshop, Review Checklist is always validated through a concrete flow: inspect inventory, prove target hosts, check the playbook, simulate the change, run the change, evaluate a second run, and document cleanup. This shows whether Ansible really models desired state or merely executes a command successfully once.

Example Flow for Review Checklist

ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --list-hosts
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff
ansible-playbook -i inventory/hosts.yml playbooks/site.yml
ansible-playbook -i inventory/hosts.yml playbooks/site.yml

The flow is intentionally complete. In real teams, some steps are automated but not skipped. CI can run syntax checks and linting; the domain review of scope, privileges, secret flows, and rollout risk remains a human engineering task.

Review Criteria for Review Checklist

• Inventory and patterns are narrower than all unless a reason is documented.
• Modules from ansible.builtin or reviewed collections are preferred.
• Shell or command tasks include changed_when, failed_when, or a clear reason.
• Variables are placed predictably and do not override each other surprisingly.
• Secrets do not appear in plaintext, diffs, debug tasks, or CI logs.
• The playbook can run repeatedly without unnecessary changes.
• Cleanup, fix-forward, or controlled acceptance of the target state is documented.

Common Failure Modes for Review Checklist

Operations Note for Review Checklist

For production-like usage, the lab must become a runbook. The runbook states target systems, owners, prerequisites, stop criteria, expected duration, validation, monitoring, and cleanup. Without those details, a playbook is executable but not operationally mature.

Review Checklist is a practical building block of the Ansible workshop. The desired state must be described, executed against a controlled scope, and validated before and after the run. A solid Ansible workflow answers four questions: which hosts are targeted, which change is performed, which privileges are required, and how success is measured.

Typical commands:

ansible --version
ansible-config dump --only-changed
ansible-inventory -i inventory/hosts.yml --graph
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --syntax-check
ansible-playbook -i inventory/hosts.yml playbooks/site.yml --check --diff

For reviews, a playbook is ready only when it proves its target scope, exposes its data sources, protects sensitive values, describes failure paths, and remains stable after a second run. If a module does not fully support check mode or diff mode, that limitation belongs in the runbook.

Common mistakes are broad patterns such as all, unclear variable sources, shell workarounds without idempotence, secrets in debug output, missing rollback notes, and missing separation between lab and production inventory.

Sources and Further References

• Official Ansible Community Documentation: https://docs.ansible.com/
• Ansible Getting Started: https://docs.ansible.com/projects/ansible/latest/getting_started/index.html
• Inventory Guide: https://docs.ansible.com/projects/ansible/latest/inventory_guide/index.html
• Playbook Guide: https://docs.ansible.com/projects/ansible/latest/playbook_guide/index.html
• Module Index: https://docs.ansible.com/ansible/latest/collections/ansible/builtin/index.html
• Vault Guide: https://docs.ansible.com/projects/ansible/latest/vault_guide/index.html
• Ansible Lint: https://ansible.readthedocs.io/projects/lint/
• Molecule: https://ansible.readthedocs.io/projects/molecule/
• AWX: https://github.com/ansible/awx
• Red Hat Certifications: https://www.redhat.com/en/services/certifications