devops

name	devops
description	Core DevOps and Site Reliability Engineering workflow, covering CI/CD, Infrastructure as Code, observability, and deployment strategies.
license	MIT

DevOps Workflow

WHEN TO USE

• When automating infrastructure deployment.
• When configuring CI/CD pipelines (GitHub Actions, etc.).
• When resolving deployment and operational issues.
• When setting up observability, logging, and monitoring tools.

Core Principles

• Infrastructure as Code (IaC): Manage all infrastructure using declarative code.
• Continuous Integration / Continuous Deployment: Automate testing and deployment to reduce manual toil and errors.
• Observability: Ensure systems are measurable through metrics, logs, and traces.
• Idempotency: Automation scripts must yield the same state on repeated runs.

Workflow

1. Analyze Infrastructure Requirements: Review scaling, security, and networking constraints; determine appropriate IaC tools.
2. Pipeline Design: Create atomic, independent stages for build, test, and deploy; implement security gates.
3. Execution and Testing: Write idempotent automation scripts; validate in staging before production rollouts.

Step-by-Step Workflows

1. Analyze Infrastructure Requirements

• Review scaling, security, and networking constraints.
• Determine the appropriate IaC tools.

2. Pipeline Design

• Create atomic, independent stages for build, test, and deploy.
• Implement security gates (e.g., secret scanning, linting).

3. Execution and Testing

• Write idempotent automation scripts.
• Validate via local testing or staging environments before production rollouts.

Autonomous Execution Directive

Execute multi-step workflows autonomously to completion, continuously looping and self-correcting until all success criteria are met. If a phase fails after 3 iterations or is blocked by an external dependency, stop execution, report the blocker, and request guidance.

Execution Model

while not workflow_complete:
    for phase in workflow_phases:
        result = execute_phase(phase)
        if result.needs_iteration:
            iterate_until_success_or_max_retries(phase, max_retries=3)
        if result.is_blocked:
            report_blocker_and_stop()
    workflow_complete = check_completion_criteria()
    if workflow_complete:
        break