Traditional "observability" is dead in the AI era
Customer complaints still kick off a familiar fire drill. Engineers comb through dashboards, grep logs, cross-reference deploys, and relay findings over Slack. The tools have changed. The chaos hasn't.
Enter Firetiger
Firetiger does in minutes what your team used to do in hours, without being asked.
Monitor. Detect. Investigate. Hand off the fix. Verify it worked. Resume watching. 24/7.
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Integrate in 10 minutes
Connect the tools you already run and Firetiger starts learning immediately.
GitHub
Billions of events. Zero ingestion charges.
Automated knowledge generation
Firetiger continuously builds a knowledge graph from your telemetry, mapping services, customers, and dependencies. Agents propose runbooks and quality metrics they keep a close eye on.
Hyperscale ingestion, zero data fees
Send every event, trace, and log, any shape, any dimensionality, without per-event charges. Billions of events included with every plan, so there's no reason to sample or drop data.
An agentic data layer, not a dashboard backend
Built on object storage and Apache Iceberg, our data layer is directly managed by the agents running on top of it. Agents manipulate schema and indexing to suit the system they're improving.
Detect, investigate, fix, repeat
Agents catch regressions, elevated response times, and anything not going to plan. They investigate root causes, hand off fixes for deployment, and verify they worked, continuously.
High cardinality at no extra cost
User IDs, session tokens, request paths: index on any dimension without the cost explosion other platforms penalize you for. Every field is queryable. Every customer is trackable.
Open query interoperability
Your data lives in open Iceberg tables. Bring Athena, Snowflake, BigQuery, Spark, or Databricks, or let other AI agents query it directly via MCP for business reports, audits, and analysis.
Ready to let agents catch issues
before your customers do?
Agents that detect issues, investigate root causes, and hand off fixes, autonomously.