Structured tutorials and reference knowledge—organized for learning and lookup
Current Situation Analysis When our engineering org scaled to 14 product teams sharing a single SaaS dashboard, the traditional micro-frontend (MFE) approach collapsed under its own complexity. We started with Webpack 5 Module Federation, exactly as the official guides recommend.
Current Situation Analysis We managed 47 microservices across three Kubernetes clusters. Our legacy API gateway (Kong 3.7, NGINX 1.25) was architected as a static routing layer with middleware chains. It worked fine at 500 RPS. At 12,000 RPS, it collapsed.
Current Situation Analysis API documentation is the single largest source of integration friction in distributed systems. At scale, "docs" are not a static artifact; they are a contract.
Current Situation Analysis We migrated our primary dashboard to React 19 and Next.js 15 (App Router) eighteen months ago. Despite aggressive code-splitting, React.lazy, and aggressive caching, our Time to Interactive (TTI) on mid-tier mobile devices hovered at 1.
Current Situation Analysis At scale, API versioning isn't a routing problem; it's a data governance and code duplication nightmare. When we audited our monolithic services at a previous FAANG role, we found the standard /v1, /v2, /v3 directory structure had bloated our codebase by 45%.
Current Situation Analysis When we audited our frontend repository at scale, the numbers were brutal: 4.2MB of unminified CSS, 340ms First Contentful Paint (FCP) on mobile, and a build pipeline that choked for 48 seconds on every pull request. The root cause wasn't a single library.
Current Situation Analysis When we migrated our core commerce platform to GraphQL in Q3 2024 using Node.js 22 and GraphQL Yoga 4.0, we hit a wall within three weeks. The schema looked clean in the playground. The types were correct.
Current Situation Analysis When we migrated our core analytics dashboard to Next.js 15 (v15.0.4) with the App Router, we inherited a familiar pattern: every route defaulted to the nodejs runtime, fetch calls were wrapped in force-cache, and server actions were treated like traditional REST endpoints...
Current Situation Analysis When I took over the core commerce API at scale, we were handling 450,000 requests daily across 14 microservices. The architecture followed standard REST conventions: static routes, fixed response schemas, offset-based pagination, and a one-to-one mapping between endpoint...
Current Situation Analysis Most engineering teams treating React Server Components (RSC) as "SSR 2.0" are leaving massive performance and cost savings on the table. In our audit of 14 production applications migrating to Next.
Current Situation Analysis At scale, API testing stops being about verifying HTTP status codes and becomes a distributed systems problem. When our platform crossed 140 microservices, our regression suite ballooned to 18,400 tests. The CI/CD pipeline routinely took 47 minutes to complete.
Current Situation Analysis When we audited our transaction processing cluster handling 14M daily requests, the metrics were alarming. Our REST/JSON architecture consumed 34% of total CPU capacity on serialization/deserialization alone.
