Unlocking the Power of AI for Root Cause Analysis in Observability
In today’s rapidly evolving tech landscape, AI is transforming observability into a more efficient and insightful process. While traditional methods collect vast amounts of telemetry data—metrics, logs, traces, and events—AI stands to bridge critical gaps.
Key Insights:
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Current Data Collection:
- Technologies like OpenTelemetry and eBPF simplify data gathering.
- Metrics such as API latency and user signups can be tracked easily.
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Data Management Challenges:
- Observability data grows rapidly, often straining storage solutions.
- Balancing cost and flexibility is crucial.
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Data Analysis Limitations:
- Existing tools often fall short, leading users to seek guidance rather than mere metrics.
- AI can facilitate deeper insights, connecting the dots to offer actionable suggestions.
The Future with AI:
Coroot is pioneering an “all available data” approach, enhancing AI-driven root cause analysis without significant user input. By leveraging complete telemetry, Coroot aims to empower engineers to resolve issues swiftly.
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