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These are the routes that matter most when building or improving a platform: delivery, GitOps, observability, AWS scaling and incident-ready infrastructure. Each guide is written to be actionable, with code examples, common failure modes and real-world rollout advice.
The first two tracks are open-source projects you can read end to end: DeploySentinel AI, an evidence-backed incident analysis and recovery build on AWS, and DevOps Doctor, a read-only Codex plugin for pipeline and deployment troubleshooting.
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Start here for a practical view of delivery, runtime visibility, AWS scale and incident recovery.
How DeploySentinel AI turns a failed ECS deployment into evidence-backed root-cause analysis with Amazon Bedrock and a human-approved rollback via Step Functions.
DevOps Doctor is an open-source Codex plugin that gathers evidence from your own CLIs and repository to explain failed GitLab pipelines and plan safe rollbacks.
Build a production-ready CI/CD pipeline with GitHub Actions and Docker, including secure image promotion, caching, rollout gates, and rollback strategy.
A step-by-step GitOps guide with ArgoCD covering repository structure, application definitions, sync policy, promotion flow, and production guardrails.
Build a solid Prometheus and Grafana monitoring setup with exporters, scrape configs, alert rules, dashboards, and practical production guidance.
See how to scale an application on AWS with a real architecture example covering stateless compute, data bottlenecks, caching, queues, and rollout safety.