
SketchLog
Bounded-memory telemetry for observability
SketchLog launched on July 18, 2026 with 9 votes, #1,899 of 24,623 launches that month and more than 90% of that year's launches.
What it does
SketchLog is an open-source observability platform for compact telemetry summaries. It uses sketch data structures to answer production questions like p95/p99 latency, unique users, top events, anomaly movement, SLO burn, and streaming SQL without storing every raw event forever. It includes a hosted playground, dashboards, PostgreSQL durability, optional OmniKV embedded storage, SDKs, WebAssembly, Docker, Helm, Kubernetes docs, and proof-first CI/release checks.
SketchLog is an open-source observability engine for high-volume streaming data. Track percentiles, unique users, event frequencies, anomalies, SLOs, and distributed telemetry without storing every raw event.
SketchLog turns high-volume telemetry into compact, mergeable sketches for latency percentiles, unique counts, event frequencies, anomalies, SLOs, canary analysis, and distributed monitoring. Modern systems generate more telemetry than teams can store, query, and pay for. SketchLog keeps the operational signal: distributions, cardinality, frequencies, drift, and release risk. Turn millions of latency samples, user IDs, and events into compact sketches that remain useful for real-time decisions. Track p95, p99, unique users, top events, SLO burn rate, anomaly signals, and canary risk without replaying raw logs. Sketches are compact and mergeable, making them practical for federation,…from sbalavignesh123.github.io
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