EventLens : Final version of Developer Analytics Platform🔁 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 se1LJun 21 · 8 min readheyankit.hashnode.dev
From 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 jJun 21 · 6 min readheyankit.hashnode.dev
Observability: 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 2May 25 · 8 min readheyankit.hashnode.dev
Queues, 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,1May 11 · 6 min readheyankit.hashnode.dev
I 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 unde1Apr 24 · 5 min readheyankit.hashnode.dev
