Projects and articles related to Observability.
Apr 20, 2026
I built an AI evaluation framework from scratch to understand every piece — ground truth datasets, precision/recall harnesses, LLM-as-judge layers, ClickHouse dashboards. Then I migrated it to Langfuse. Here is why, and what I gained.
Apr 18, 2026
Part 2 of my portfolio AI series: concrete eval results, ClickHouse monitoring signals, optimization decisions, recursion guardrails, and the measured before/after impact.
Apr 11, 2026
Monitoring, tracing, and instrumentation look different in every system we run. Here is what we actually measure, how we measure it, and what those measurements have caught — across Kubernetes infrastructure, integration pipelines, high-performance APIs, browser automation, and AI agents.
