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Navigating Kafka and the Challenges of Asynchronous Communication
Causal AI for IT
Bridging observability with automated orchestration for self-managed, resilient applications at scale.
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New England Venture Capital Association Unveils Nominees and Academies for the 11th Annual NEVY Awards
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Causely launches Causal AI for Kubernetes, raises $8.8M in Seed funding
The IT market problem
Every second, huge volumes of data are generated by observability and monitoring tools, capturing metrics, logs, and traces about all aspects of complex, dynamic applications.
Yet it’s still up to humans to troubleshoot and make sense of all this data. They are locked in a never-ending cycle of responding to alerts, identifying root cause, and determining the best action for remediation. The process hasn’t changed fundamentally in decades – and it’s still labor-intensive, reactive, and costly.
71%
ITOps teams say monitoring data is not actionable
55%
IT issues are escalated, taking over 10 hours to resolve on average
$855K
Average cost of an unplanned outage or downtime
The first causal AI platform for IT
Causely removes the need for human troubleshooting by capturing causality in software, closing the gap between observability and action.
For the first time, the entire lifecycle of detection, root cause analysis, and remediation of defects in applications is fully automated. With Causely, defects are identified and resolved in real time, so applications can scale with high performance and resilience.
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Causely for Kubernetes applications
The first Causely service, for DevOps and SRE users who are building and supporting applications in Kubernetes, is now available in our Early Access program.
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