Efficient Kubernetes Observability
Randoli Observability for Kubernetes minimizes telemetry extraction, capturing snapshots only on issue detection or on-demand reducing data transfer costs.
It analyzes logs & other telemetry data within the cluster, ensuring data privacy while reducing data transfer costs compared to other vendors.
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Our Intelligent Agent automates issue detection by collecting and analyzing data from OpenTelemetry, eBPF, log analyzers, and Kubernetes events.
Instead of manually sifting through dashboards and logs, get instant Issue Reports with correlated telemetry data—helping you pinpoint root causes faster.
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Log Analyzers let you write custom probes for in-cluster log analysis without shipping logs—ensuring data privacy while reducing egress and ingestion costs.
Detect issues faster without the overhead of external log processing.
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With our custom Runbooks feature, integrate your troubleshooting knowledge base to streamline issue resolution.
Our AI-driven platform matches Runbooks to issue reports, empowering teams to share SRE expertise and fix production issues faster.