What brokeWhy it brokeHow to fix itFixed Zero noise
Sound Familiar?
Noisy alerts. Only 3 were real.
You re-tune thresholds, rewrite rules, but eventually stop trusting your alerts.
AI writes code faster. It breaks faster too.
Today’s best alternative to keeping the lights on? Bolt on MCP integrations and hope it’s accurate.
Our research found that more MCPs doesn’t mean more accuracy. Read the paper →
Customers find issues before your team does. And you are losing their trust.
By the time engineering knows, your customers have already created a support ticket or complained.
How It Works
Autonomous error monitoring · Zero noise
Foam sees all telemetry all of the time. It decides what to investigate and what to mark as noise without you ever setting alert rules.
Discovers why it broke and how to fix it
Foam powers its agents with a purpose-built telemetry engine that correlates every log, trace, and metric across all of your services by a single relational ID with zero data loss and a complete production snapshot. Enabling it to investigate and fix failures with highest accuracy, autonomously.
Fixes it or tells the right person exactly how
The right person gets a Slack message with the root cause and a suggested fix. One click to create a PR or hand it to your favorite coding agent.
Once Foam pings you, you decide what to do next
Read the report, create a PR, or hand it to your favorite coding agent. All in one click.
Your pool config change in a1b2c3dcaused queue-worker to flood card-store, which exhausted checkout’s connection pool.
Connect Let us take it from there
What broke
Why it broke
How to fix it
Fixed Zero noise
We work with startups too
I requested a feature on Friday night. By Saturday morning, it was live for us to use.
Foam cut through our noisy alerts. Now I just let Foam ping me with the issue and root cause.
Before our team even starts investigating, Foam has already debugged the error and pointed us to the cause.
I went from spending hours trying to debug stack traces to reading a Foam report and knowing what to do in seconds.
