20 nəticə — yol xəritələri, maaş bələdçiləri, sertifikatlar və iş bazarı təhlili.
Early in my career, I built a Stripe integration that processed payment webhooks. It worked perfectly — until it didn't. One Friday evening, Stripe sent us a batch of 200 webhooks in 30 seconds (a customer with a complex subscription). Our...
Last year, a new engineer joined our team and asked a simple question: "Why does this service use MongoDB instead of PostgreSQL?" Nobody on the team knew. The engineer who made that decision had left two years ago. There was no documentation, no Slack thread, no commit message that explained the reasoning. We spent three days researching the trade-offs before concluding that the original decision was actually wrong for our current use case — but we had no way to know that without re-discovering all the constraints the original author considered.
Three years ago, I shipped my first SaaS product with a single-tenant architecture. Every customer got their own database, their own deployment, their own headaches — and I got the bill. Within six months I was managing 47 separate PostgreSQL...
The best technical decision I ever made wasn't a technology choice. It was writing a three-page RFC (Request for Comments) before starting a project that would have taken two months. The RFC process surfaced a fundamental flaw in the architecture within a week. We pivoted to a better design before writing a single line of code. Two months of work, saved by three pages of structured thinking.
I once watched a partner integration take down our entire API. Not a DDoS attack. Not a bug. Just one enthusiastic client running a data sync without any delay between requests. They sent 12,000 API calls in 45 seconds. Our database connection pool was exhausted in under a minute. Every other customer got 503 errors for the next ten minutes while we scrambled to recover.
I shipped a catastrophic bug to 100% of our users at 4 PM on a Friday. A simple UI change that broke the checkout flow. It took 45 minutes to push a fix through our CI/CD pipeline. During those 45 minutes, we lost roughly $12,000 in revenue.
Three years ago, my team spent six weeks setting up Istio. We read the docs, watched the conference talks, followed the tutorials. When we finally got it working, our cluster's resource usage had doubled, our deployment time had tripled, and nobody on the team could explain what the Envoy sidecar was actually doing. We ripped it out two months later.
In 2022, our team migrated a microservices system from REST to a hybrid gRPC + GraphQL architecture. The REST API had 147 endpoints across 12 services. Response times averaged 340ms for composite operations that required data from multiple services. After the migration: internal service-to-service calls dropped to 12ms average via gRPC, and client-facing queries via GraphQL reduced payload sizes by 62%. But the migration took eight months, introduced new categories of bugs we'd never seen, and required retraining the entire frontend team. Was it worth it? Absolutely — but only because we chose the right protocol for each use case.
It was 2 AM and our Node.js API was returning 500 errors on every request. The error logs showed one message over and over: Error: too many clients already. PostgreSQL was rejecting new connections because we'd hit the max_connections limit of...
At 2:47 AM on a Tuesday, our job aggregator's database connection pool exhausted. Not because of traffic — because a single scraper hung for 8 minutes holding a connection, triggering a cascade that starved every other service of database access. The site returned 500 errors for 23 minutes. We had retry logic, we had connection timeouts, we had circuit breakers — but none of them had ever been tested under this specific failure mode. After the post-mortem, I decided to start breaking things deliberately.
When I built the notification system for BirJob, I needed real-time job alerts: when a new job matching a user's criteria gets scraped, they should see it within seconds. I started with polling (check the API every 30 seconds). It worked, but it hammered our database with 200,000 unnecessary queries per day and created a 30-second delay users noticed. I switched to Server-Sent Events, and the database load dropped 94% while notifications became instant. The entire migration took one afternoon.
I once inherited a 140,000-line TypeScript codebase that had zero design patterns. Every feature request took three days of archaeology before the first line of code. Services were entangled like Christmas lights in January. State leaked across boundaries like water through a sieve. After six months of systematic refactoring — introducing patterns one at a time, measuring before and after — our average feature delivery time dropped from 11 days to 3. That experience taught me that design patterns aren't academic exercises; they're survival tools.