AYAnkit Yadavinheyankit.hashnode.dev·3d ago · 8 min readEventLens : Building a Developer Analytics Platform from Scratch🔁 Where I Left Off By the end of Phase 3, I had built something I was genuinely proud of. Events flowing through Kafka. Workers batch-inserting into PostgreSQL. Prometheus scraping metrics every 5 se00
AYAnkit Yadavinheyankit.hashnode.dev·3d ago · 6 min readFrom Docker Compose to Kubernetes: Adding Helm Charts to EventLens🐳 The Docker Compose Comfort Zone Docker Compose is a wonderful lie. It makes distributed systems feel simple. One file, one command, everything starts. Services talk to each other by name. Volumes j00
AYAnkit Yadavinheyankit.hashnode.dev·May 25 · 8 min readObservability: Understanding System Pressure with Metrics, Traces & LogsVisualizing metrics, queue pressure, worker throughput, and real-time system behavior while scaling an event ingestion architecture Introduction In the previous phase of this project, I transformed a 20
AYAnkit Yadavinheyankit.hashnode.dev·May 11 · 6 min readQueues, Replicas & Bottlenecks: Scaling My Event Ingestion Pipeline👋 Introduction I started this project thinking scaling was mostly about optimizing database queries. But once I started load testing an event ingestion pipeline under hundreds of concurrent requests,10
AYAnkit Yadavinheyankit.hashnode.dev·Apr 24 · 5 min readI Built an Event Ingestion System — Then It Broke Under Load🧠 How I started ? I’ve always been fascinated by how systems scale under heavy load.That curiosity pushed me to explore it more deeply, so I started building this project. Through this, I aim to unde10
