Case Study: Deductive AI accelerates root cause analysis with Akka

Deductive AI cuts time-to-mitigation by 70% with Akka

Deductive AI, a company founded by engineers from Databricks and ThoughtSpot, faced the challenge of performing root cause analysis in massive, distributed cloud environments. Diagnosing failures required analyzing petabytes of logs, billions of metrics, and code changes, a process that was too slow and complex at scale. They needed a high-performance, resilient solution to process this vast amount of data in real time and build a system for their AI-powered troubleshooting platform.

Using Akka, Deductive AI built a data ingestion layer capable of processing multi-source telemetry with low latency and high resilience. The Akka framework powered the flow of data into a live knowledge graph, which enabled their multi-agent AI system to automate root cause analysis. The solution implemented by Akka resulted in a remarkable 70% reduction in time-to-mitigation on average, significantly improved developer velocity, and fewer fire drills for site reliability teams.

Deductive AI