Engineering Standards & Practices Playbook

Production-grade thinking for modern cloud systems.

Architecture patterns, engineering standards, and practical tools for teams building systems that need to scale, recover, and earn trust.

Start here · Browse the catalog · Quality gates · Releases · Contribute

🧭 Start Here

This is a living engineering reference for architects, engineers, platform teams, and technical leaders. It brings together the decisions and habits that make cloud-native systems resilient, observable, secure, and easier to evolve.

You need to...	Go to...
Understand the principles behind the playbook	Engineering principles
Choose an architecture approach	Overall standards
Design APIs, data, integrations, or networks	Detailed standards
Set up an AI-assisted workstation	Developer tools
Build reusable agent workflows	Agent catalog
Learn the concepts step by step	Training path

✨ What You’ll Find

• Architecture blueprints for scalable, resilient, and secure systems
• Implementation guidance with practical patterns and examples
• Multi-cloud perspectives across AWS, Azure, and GCP
• Executive-friendly context covering cost, risk, outcomes, and metrics
• AI-native practices for tools, hooks, agents, and human-in-the-loop delivery

🚀 Quick Start

git clone https://github.com/mahpatil/engineering-playbook.git
cd engineering-playbook

# Start with the principles and the overall standards index
open PRINCIPLES.md
open standards/overall/README.md

Prefer the command line? Replace open with less, bat, or your editor of choice.

📚 The Catalog

Standard	Maturity	Focus	Explore
Overall north star	✅ Stable	Platform-agnostic architecture	View
Microservices	✅ Stable	Service boundaries and operations	View
API design	📋 Beta	Contracts and interfaces	View
Data architecture	📋 Beta	AWS, Azure, and GCP	View
Cloud network topology	✅ Stable	Hub-and-spoke, PCI, gateways	View
Integration patterns	📋 Beta	Events and data movement	View
CI/CD and DevSecOps	📋 Planned	Delivery and quality gates	View
Observability	📋 Beta	Logs, metrics, traces, SLOs	View
Developer tools	📋 Beta	Workstation setup and hooks	View
Agent catalog	🚧 Beta	Reusable engineering agents	View
Claude templates	🚧 Beta	AI-assisted delivery	View

🧰 Troubleshooting Playbooks

• Network: DNS and connectivity
• SSL certificates: chain checks and downloads
• Docker
• Kubernetes
• Processes, ports, and pods

🛡️ Quality Gates

Every pull request should leave the playbook more trustworthy than it found it. The repository quality gate checks:

1. Markdown style with markdownlint-cli2
2. Internal and external links with lychee
3. Whitespace and patch hygiene with git diff --check
4. Review completeness against the contribution checklist

Run the same checks locally before opening a pull request:

npx --yes markdownlint-cli2 "**/*.md" "#node_modules"
npx --yes markdown-link-check README.md
git diff --check

The GitHub Actions quality gate runs on pushes and pull requests. A change is ready to merge when the checks pass and the relevant standard has been reviewed for technical accuracy, examples, and links.

🏷️ Versioning and Releases

The first published snapshot is v0.1.0. Future snapshots use Semantic Versioning:

• MAJOR: a reorganized or incompatible documentation structure
• MINOR: a new standard, training module, or significant guidance area
• PATCH: corrections, clarifications, examples, and link fixes

Release flow:

change -> pull request -> quality gate -> merge to main
              |
              v
          tag vMAJOR.MINOR.PATCH
              |
              v
            GitHub release notes

To publish a release after changes land on main, create and push a SemVer tag:

git checkout main
git pull --ff-only
git tag v0.2.0
git push origin v0.2.0

Pushing a v* tag starts the Release workflow. The workflow accepts only vMAJOR.MINOR.PATCH tags, creates the GitHub release, and generates release notes from merged pull requests. There is no manual release step in GitHub Actions. Keep notable changes grouped in the release description and ensure the quality gate passes before tagging.

👥 For Technical Teams

Engineers

Use the standards as a design review companion: start with the relevant principle, compare the available patterns, then adapt the examples to your runtime and cloud boundary.

Platform and SRE teams

Use the networking, DevSecOps, CI/CD, high-availability, scaling, disaster-recovery, and observability material to turn operational expectations into repeatable controls.

Architects and technical leaders

Use the decision frameworks, metrics, ADR guidance, and executive summaries to make tradeoffs explicit and durable.

💼 For Non-Technical Stakeholders

The playbook connects technical choices to business outcomes: customer experience, resilience, compliance, cost, delivery speed, and measurable risk reduction.

🤝 Contributing

1. Fork the repository and create a focused feature branch.
2. Add or update the relevant standard, example, or training material.
3. Run the quality checks locally.
4. Update links, maturity status, and release notes when appropriate.
5. Open a pull request using a clear, outcome-oriented description.

See CONTRIBUTING.md for the full contribution and review guidelines.

📄 License

This project is licensed under the MIT License. See LICENSE for details.

🙏 Acknowledgments

Built from lessons learned in regulated finance, healthcare, insurance, and enterprise environments, and informed by Kubernetes, Kafka, Prometheus, OpenTelemetry, OWASP, DORA, CNCF, CloudEvents, AWS, Azure, and GCP.

📞 Contact

• Maintainer: Mahesh Patil
• Email: mahesh@wonoments.com
• LinkedIn: linkedin.com/in/inspiredbytech

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⭐ If this playbook helps your team make a better engineering decision, star the repository and share the standard that helped.