Log Aggregator · Observability Engine
Built the log aggregation engine component for an observability platform. Processes 500GB+ logs daily with real-time parsing, filtering, and indexing. Uses zero-copy parsing and custom compression for 10x throughput improvement over Java implementation.
Case study
Log Aggregator · Observability Engine
Built the log aggregation engine component for an observability platform. Processes 500GB+ logs daily with real-time parsing, filtering, and indexing. Uses zero-copy parsing and custom compression for 10x throughput improvement over Java implementation.
Built the log aggregation engine component for an observability platform as part of a 3-person team. Processes 500GB+ logs daily with real-time parsing, filtering, and indexing. Uses zero-copy parsing and custom compression for 10x throughput improvement over Java implementation.
Key results
Daily volume
Rust developers
Faster than Java version
Stack
Timeline
Week 1–2
Log format analysis and parsing strategy
Week 3–8
Zero-copy parser, compression engine, indexing system
Week 9–10
Performance optimization and integration testing
Project Details
Technical implementation and architecture overview
Zero-copy parsing
Implemented zero-copy log parsing using Rust's memory safety for maximum throughput without allocations.
Custom compression
Built custom compression algorithm optimized for log data, achieving 10x better compression ratios than standard algorithms.
FAQs
What do you build? +
Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.
Do you do consultancy? +
Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.
How fast can you deliver? +
Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.
One person for everything? +
Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.