Observability infrastructure for the agentic era

Dear fellow engineer,

Telemetry volumes keep growing, compliance requirements keep tightening, and every team is being asked to cut costs and justify what it spends on observability. AI agents, which generate enormous amounts of telemetry, have made all three harder.

Observability has changed a lot over the last decade. We went from search engines for logs, to stacks with a separate database for each signal type, to today's push to unify logs, metrics and traces. Unification does bring better correlation, fewer silos and much smaller operational overhead. Yet most unified platforms are too complex and expensive to run, and scaling them becomes a job of its own.

We thought unification could be simple. Parseable is one engine for logs, metrics and traces, built in Rust, storing everything in the object storage, in an open format. Compression and a columnar design do the heavy lifting, reducing storage costs and improving query performance.

Parseable runs inside VPCs and air-gapped networks where data never has to leave, and it's open core so anyone can see exactly how it works. With Parseable, we're building the stack we always wished we had: fast, honest about cost with full data sovereignty.