Production context.For every decision.
Odigos records what runs inside every service, live, with nothing in your code. Your engineers, AI agents and security teams get the evidence they need.
rule nil
returned 0.00
Running in production at
Same incident, two AI agents. One opens a pull request. One answers.
The one that can only read what someone logged in advance adds a log line and waits for the bug to happen again. The one on Odigos asks production what the code did. Hours to days against seconds, on every incident, on every team.
42 if rule == nil {
43+ log.Info("discount", "returned", 0.0)44 return 0
Inside every service. From outside the code.
Odigos DeepBPF is an eBPF runtime built from scratch to see inside the application, not just the kernel. The functions that ran, the values they carried, as it happens. Under 1% CPU. Nothing loads into your process.
Every service on day one
Every language, every version, every binary. Even the ones nobody owns. One command.
Odigos Autofocus
Captures deeper where a service drifts, inside the scope your policy sets.
Feeds what you already run
Exports OpenTelemetry into Datadog, Grafana, Splunk or your SIEM. Deeper data, same dashboards, no migration.
Debug it. Defend it. Check what you shipped.
The same record answers an engineer after a page, a security policy on every call, and a coding agent after every deploy.
Root cause, not a guess.
Where the trace ends, ask the service what its code did.
ObservabilityBlock the call. Keep the service.
Your policy names the function. The call fails there. No redeploy.
SecurityWrote it at 14:30. Checked it at 14:31.
Claude Code, Cursor and Copilot check what their change did on real requests.
Coding agentsAsk production. Get the answer.
One command. Every service. Nothing in your code.


