A failure-oriented guide to decomposing a legacy monolith with AWS serverless services. It shows how to select a boundary, extract an SQS-to-Lambda notification workflow, diagnose retries and data coupling, introduce traffic gradually, and prove rollback and observability before expanding.
Cloud Architecture, API Security & DevOps Engineering Guides
Practical engineering guides focused on implementation choices, failure modes, security trade-offs, and reproducible examples.
Compare leading API security tools by the engineering gap they address, then follow a staged rollout for safe targeting, authenticated coverage, CI gating, failure handling, rollback, and regression testing.
This decision guide compares direct PKCE, token-mediating backends, BFFs, native clients, and confidential servers. It explains where credentials and tokens belong, what each design leaves exposed, and how to verify redirects, callbacks, token validation, sessions, and logging.
Diagnose CORS failures across browsers, gateways, CDNs, and APIs with a repeatable verification sequence. Includes illustrative headers, failure-mode triage, credential guidance, policy ownership, and a staged rollout and rollback plan.
A practical comparison of primary reads, regional and reporting replicas, read-after-write controls, and caching. The guide includes lag-aware routing pseudocode, failure responses, deployment trade-offs, and a sequence for verifying freshness and fallback behavior.
Automated rollback is a privileged production action, not just a retry. This guide covers immutable releases, protected stable targets, reliable signals, database and message compatibility, least-privilege execution, Kubernetes commands, and drills that verify recovery without reopening security risk.
Use this operational playbook to classify REST API changes, preserve contracts, verify older clients and generated SDKs, stage exposure, define rollback triggers, and manage major-version deprecation without surprising consumers.
An operational playbook for shortening GitHub Actions feedback loops without weakening required checks. It covers baseline metrics, safe concurrency, dependency caching, parallel tests, artifact handling, runner choices, staged verification, common failure modes, and practical rollback actions.
A decision-focused guide to Kubernetes pod eviction: capture evidence, identify memory, storage, inode, or PID pressure, and choose among resource tuning, node headroom, autoscaling, topology spreading, Priority, and disruption controls without shifting the failure elsewhere.
This guide provides a failure-mode map for microservices latency, a trace-first diagnostic flow, Kubernetes checks, and targeted fixes for queues, connection churn, retries, fan-out, payloads, and regional calls. It also explains how to verify improvements without weakening correctness or downstream stability.