[{"data":1,"prerenderedAt":217},["ShallowReactive",2],{"navigation":3,"\u002Fblog\u002Ffrom-idea-to-production":26,"\u002Fblog\u002Ffrom-idea-to-production-surround":212},[4],{"title":5,"path":6,"stem":7,"children":8,"page":25},"Blog","\u002Fblog","blog",[9,13,17,21],{"title":10,"path":11,"stem":12},"How I Built a Reusable Component Library from Scratch","\u002Fblog\u002Fbuilding-a-reusable-component-library","blog\u002Fbuilding-a-reusable-component-library",{"title":14,"path":15,"stem":16},"From Idea to Production: My End-to-End Engineering Process","\u002Fblog\u002Ffrom-idea-to-production","blog\u002Ffrom-idea-to-production",{"title":18,"path":19,"stem":20},"Web Performance Is a Feature","\u002Fblog\u002Fweb-performance-is-a-feature","blog\u002Fweb-performance-is-a-feature",{"title":22,"path":23,"stem":24},"The Case for Boring Technology and Maintainable Code","\u002Fblog\u002Fwriting-maintainable-code","blog\u002Fwriting-maintainable-code",false,{"id":27,"title":14,"author":28,"body":32,"color":200,"date":201,"description":202,"extension":203,"icon":204,"image":205,"layout":206,"meta":207,"minRead":208,"navigation":209,"path":15,"seo":210,"stem":16,"__hash__":211},"blog\u002Fblog\u002Ffrom-idea-to-production.md",{"name":29,"avatar":30},"Rong Yuthean",{"src":31,"alt":29},"\u002Fprofile.jpg",{"type":33,"value":34,"toc":185},"minimark",[35,39,42,47,50,55,58,64,67,71,74,87,91,94,97,101,104,119,122,126,129,133,136,140,151,155,182],[36,37,38],"p",{},"Shipping good software isn't about following a rigid formula. It's about having a flexible process that adapts to each project while keeping quality high. After refining my approach across dozens of projects, I've landed on a workflow that consistently delivers reliable results without slowing teams down.",[36,40,41],{},"In this article, I'll walk through my end-to-end process, from understanding requirements to running code in production, using my work on the EcoTrack ingestion service as a case study.",[43,44,46],"h2",{"id":45},"phase-1-understanding-the-problem","Phase 1: Understanding the Problem",[36,48,49],{},"Every successful system starts with a clear understanding of the problem. For EcoTrack, the challenge was ingesting millions of sustainability events per day from mobile clients, without losing data and while keeping the API responsive.",[51,52,54],"h3",{"id":53},"gathering-requirements","Gathering Requirements",[36,56,57],{},"I started by talking to product, mobile, and data teams to understand the real constraints: expected traffic, peak loads, acceptable latency, and how fresh the data needed to be for downstream reports.",[59,60,61],"blockquote",{},[36,62,63],{},"\"We don't need real-time dashboards, but we can never lose an event.\" — Data team lead",[36,65,66],{},"That single sentence shaped the entire architecture.",[51,68,70],{"id":69},"defining-success","Defining Success",[36,72,73],{},"Before writing any code, we agreed on measurable goals:",[75,76,77,81,84],"ul",{},[78,79,80],"li",{},"p95 API latency under 100 ms at peak load",[78,82,83],{},"Zero data loss, with at-least-once delivery",[78,85,86],{},"New engineers able to ship a change in their first week",[43,88,90],{"id":89},"phase-2-technical-design","Phase 2: Technical Design",[36,92,93],{},"I wrote a short design document covering the architecture, data model, API contracts, failure modes, and alternatives we considered. The final design separated a thin, stateless API layer from asynchronous workers connected by a durable queue.",[36,95,96],{},"Sharing the design early surfaced issues that would have been expensive to fix later, like a missing idempotency key on the event endpoint.",[43,98,100],{"id":99},"phase-3-building-in-small-increments","Phase 3: Building in Small Increments",[36,102,103],{},"Instead of one big launch, I broke the work into small, independently deployable pieces:",[105,106,107,110,113,116],"ol",{},[78,108,109],{},"A walking skeleton: endpoint, queue, worker, and database, end to end",[78,111,112],{},"Validation, idempotency, and retries",[78,114,115],{},"Batching and backpressure for throughput",[78,117,118],{},"Dashboards, alerts, and runbooks",[36,120,121],{},"Every pull request was small, reviewed, and covered by unit and integration tests running in CI.",[43,123,125],{"id":124},"phase-4-testing-under-real-conditions","Phase 4: Testing Under Real Conditions",[36,127,128],{},"Unit tests catch logic bugs, but distributed systems fail in more interesting ways. I added load tests that replayed production-like traffic and chaos tests that killed workers mid-batch to verify we never dropped events.",[43,130,132],{"id":131},"phase-5-release-observability","Phase 5: Release & Observability",[36,134,135],{},"We rolled out behind a feature flag, starting with 1% of traffic and gradually increasing while watching latency, error rates, and queue depth. Structured logs, metrics, and distributed tracing made it easy to understand exactly what the system was doing.",[43,137,139],{"id":138},"results","Results",[75,141,142,145,148],{},[78,143,144],{},"p95 latency dropped from 450 ms to 80 ms",[78,146,147],{},"Zero lost events since launch",[78,149,150],{},"Infrastructure costs fell by 35% thanks to batching",[43,152,154],{"id":153},"key-takeaways","Key Takeaways",[75,156,157,164,170,176],{},[78,158,159,163],{},[160,161,162],"strong",{},"Clarify constraints first."," The right architecture falls out of the real requirements.",[78,165,166,169],{},[160,167,168],{},"Write it down."," A two-page design doc saves weeks of rework.",[78,171,172,175],{},[160,173,174],{},"Ship small."," Small changes are easier to review, test, and roll back.",[78,177,178,181],{},[160,179,180],{},"Observe everything."," You can't fix what you can't see.",[36,183,184],{},"Great engineering is less about clever code and more about a disciplined process that makes reliable outcomes the default.",{"title":186,"searchDepth":187,"depth":187,"links":188},"",2,[189,194,195,196,197,198,199],{"id":45,"depth":187,"text":46,"children":190},[191,193],{"id":53,"depth":192,"text":54},3,{"id":69,"depth":192,"text":70},{"id":89,"depth":187,"text":90},{"id":99,"depth":187,"text":100},{"id":124,"depth":187,"text":125},{"id":131,"depth":187,"text":132},{"id":138,"depth":187,"text":139},{"id":153,"depth":187,"text":154},"#10b981","2025-04-23","A detailed breakdown of how I take a feature from requirements to a reliable production release, with practical tips for engineers at every stage.","md","i-lucide-rocket",null,"list",{},8,true,{"title":14,"description":202},"drh2O89XpebvLvGHI5XivRQWWWyi0zO6dyW1jhhW4CE",[213,215],{"title":10,"path":11,"stem":12,"description":214,"children":-1},"A practical guide to creating a shared, type-safe component library, from initial audit to publishing, and the lessons learned along the way.",{"title":18,"path":19,"stem":20,"description":216,"children":-1},"How measuring and optimizing real-user performance metrics directly improved engagement, conversion, and the overall user experience.",1793207677058]