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The production context platform

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.

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metrics
traces
logs
traces
profile
function values
code "BLACK50"
rule nil
returned 0.00
checkout revenue is down 12%following a checkout that completedwhatever that path already recordsnothing here backing out, trying elsewheretrying the promo pathfinding out which functions randynamically instrumenting applyDiscount()
cause foundthe rule lookup came back empty

Running in production at

  • t-mobile
  • csaa
  • merck
  • avodaq
  • avetta
  • hp enterprise
  • inpost
  • deephealth
  • omnissa

Give AI the power to investigate production.

Your agent has a question. The answer isn’t in your telemetry yet. Odigos lets it collect the missing evidence from running code—without waiting for an instrumentation release.

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The wait

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.

without Odigosit opens a pull request
>why is checkout revenue down 12%
Traces look clean. 200s across POST /orders, p99 flat. The only thing I cannot see into is the discount path.
Read(promo.go)Read 84 lines
applyDiscount returns early when the rule lookup misses, and nothing logs what it returned. I cannot confirm this from here.
Update(promo.go)Updated promo.go with 1 addition
41 rule := rules.For(code)
42 if rule == nil {
43+ log.Info("discount", "returned", 0.0)44 return 0
Opened PR #4471. Once it is reviewed and deployed I will know after the next occurrence.
hours to days before it can answer
with Odigosit queries production
>why is checkout revenue down 12%
Traces look clean. 200s across POST /orders, p99 flat. The only thing I cannot see into is the discount path.
odigos - find_functions("checkout", "discount")84 functions, applyDiscount at promo.go:41
odigos - capture("applyDiscount", args, returns)attached in 1.2s, nothing redeployed
odigos - read("applyDiscount")code "BLACK50", cart 49.00, returned 0.00
Found it. BLACK50 is missing from the rules table, so applyDiscount returns 0 and every order using it paid full price.
seconds and it can ask the next one

Find the cause. Decide what comes next.

One Production Context Platform connects the investigation to the work: resolving incidents, stopping attacks and shipping better code.

Observability

Find the decision behind the failure.

Let the investigation reach beyond the traces you already have. Capture the function and values that explain why a request failed.

Security

Understand the attack. Limit the damage.

See what an attack did inside your application, which connected services may be at risk, and where to apply a virtual patch.

Coding Agents

Find the assumption your code got wrong.

Give your agent runtime evidence for a targeted code change. Review the fix, deploy it and verify what happens on the next request.

The Production Context Platform

Stop guessing. Ask production.

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One agent. One service. See how Odigos helps answer a production question.