CtrlB

A developer asks an AI coding agent, "Why did checkout errors spike at 14:20?" The agent doesn't run one query and wait for an answer. It checks the checkout logs. Then traces. Then a downstream service. Then the deployment history. Then the database erro

DuckDB set the bar for querying Parquet on one machine. We put CtrlB next to it on ClickBench, same hardware, same file, same 43 queries. CtrlB is ahead on the hot run on both instances we tested, and the gap sits somewhere specific. Why we benchmarked ag

ctrlb-decompose separates what repeats in your logs from what actually changes. This is the math, the single-pass algorithm, and the type-aware encoding behind it. Problem: More logs in, worse answers out Past a certain point, pasting more logs into an LL

Incident work is narrow and impatient. You look up one trace identifier, match one error substring, or isolate a single short-lived container session, and the answer has to come back in milliseconds. Dashboards and capacity reviews ask for the opposite: s

The Grafana LGTM stack (Loki, Mimir, Tempo) spreads every signal across separate backends you must wire together and tune. CtrlB takes the opposite bet: one pipeline, one query language, one open storage format. Here's a point-by-point comparison of why t

Every few weeks another "AI-native" observability tool shows up, promising to debug production for you: autonomous triage, agentic root-cause, and a polished demo to match. Look past the demo and most of them are doing the same thing. They wrap a language

A field guide for OpenTelemetry-native organizations that want service level objectives their engineers and their leadership can both stand behind. In the years I have spent building and overseeing reliability programs at scale, one lesson has held up bet

Take Control of Your Telemetry with CtrlB: Petabyte-scale observability on open standards, no vendor lock-in, no surprise bills. 1 / 8 Data Searchability 2 / 8 Billing Model 3 / 8 OpenTelemetry Integration 4 / 8 Query Language 5 / 8 Index Storage Efficien

Eight WHERE … LIMIT 100 queries on a 5 TB log table - CtrlB vs. ClickHouse on identical hardware. CtrlB wins all 8 patterns, 2.2 to 99 faster, with a 17 smaller index.

Picture this: PagerDuty just woke you up. The billing service is throwing 500 errors, and customer checkouts are failing. What is your next move? If you are like most engineers, you are about to open a dozen tabs. You'll pull up your logging platform, you