System designs and architecture decisions from real projects — the diagrams behind the decisions.
Asynchronous order processing system handling 50k+ events/sec with exactly-once delivery guarantees and automatic dead-letter recovery.
Problem Solved
Replaced a synchronous REST chain that collapsed under peak traffic with a partitioned event bus that scales horizontally and recovers from partial failures without data loss.
mTLS-enforced service mesh with dynamic policy evaluation at the sidecar layer. All inter-service traffic encrypted and authorized per-request.
Problem Solved
Eliminated implicit trust between microservices by embedding identity verification and fine-grained authorization into the network layer — no application code changes required.
Dual-layer feature store combining batch-computed features in a columnar store with sub-10ms online serving through a Redis-backed hot cache.
Problem Solved
Unified offline training and online inference feature access behind a single API, eliminating the train/serve skew that caused silent model degradation in production.
Declarative infrastructure platform where every environment change flows through Git. Automated drift detection with self-healing reconciliation loops.
Problem Solved
Replaced manual kubectl-and-SSH deployments with a fully auditable, rollback-capable pipeline where the Git repo is the single source of truth for cluster state.
Unified observability pipeline correlating traces, metrics, and logs across 200+ services with adaptive sampling that keeps costs predictable at scale.
Problem Solved
Transformed debugging from log-grepping across dozens of services into single-click trace inspection, cutting mean-time-to-diagnose from hours to minutes.
Composable stream processing framework that lets teams define transformation DAGs in YAML. Handles backpressure, checkpointing, and exactly-once semantics transparently.
Problem Solved
Gave data engineering teams a self-service platform for building real-time pipelines without writing Flink jobs from scratch — reducing pipeline creation time from weeks to hours.