Unlocking a New Era in Observability Flip AI is redefining observability in the world of software engineering. Observability data, typically seen as mere telemetry, is now viewed as a unique semantic language. In an age where complex systems and applications require vigilant monitoring, Flip AI brings a fresh perspective.
Understanding and interpreting observability data has always been a challenge. Setting alert thresholds too aggressively can lead to false positives, while overly conservative settings risk overlooking critical issues. Complex dashboards and interfaces only compound the problem, leaving engineers at times perplexed by what they're viewing.
Flip AI introduces a solution with the power of Generative AI models, particularly large language models (LLMs). These models can instantly recall vast quantities of domain-specific knowledge from the internet. For IT professionals, this means unprecedented access to insights and analysis without the need to search external sources.
CEO and co-founder Corey Harrison says that today, in spite of the number of tools out there, companies still often are using highly manual processes to track data between systems. He and his co-founders, CTO Sunil Mallya and CPO Deap Ubhi, saw an opportunity to put intelligence and automation to work to speed up time to resolution.
“So large enterprises are using multiple tools, yet still have difficulty when it comes time to actually troubleshoot incidents,” Harrison told TechCrunch. He said that this problem is often more acute in larger organizations where they have more tools and data often resides in different systems, making it especially challenging to track down the cause of the problem without a lot of manual querying.
Flip AI's observability intelligence platform, Flip, seamlessly integrates with major observability platforms and custom tools. It can work with data stored and queried anywhere, offering flexibility and security. Your data never needs to leave your boundaries.