I Built an Event Ingestion System — Then It Broke Under Load
A step toward understanding systems under real load
Apr 24, 20265 min read33
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Series
From Simple APIs to Scalable Systems
A hands-on journey of building backend systems and understanding how they behave under real load. From simple APIs to scalable architectures, this series focuses on learning by building, breaking, and improving systems.
Queues, Replicas & Bottlenecks: Scaling My Event Ingestion Pipeline
Exploring queues, batching, load balancing, and system bottlenecks while scaling an event ingestion architecture.
May 11, 20266 min read21
Observability: Understanding System Pressure with Metrics, Traces & Logs
Visualizing 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
May 25, 20268 min read16
From Docker Compose to Kubernetes: Adding Helm Charts to EventLens
Docker Compose is great until it isn't. Here's how I packaged the entire EventLens stack into a Helm chart — and what Kubernetes forced me to think about that Compose never did.
Jun 21, 20266 min read
EventLens : Building a Developer Analytics Platform from Scratch
Bringing together Kafka, Kubernetes, observability, SDKs, and modern web technologies into one cohesive system.
Jun 21, 20268 min read