How to Improve Uptime and Achieve Root Cause Analysis (with Open Source!)

Описание: 🐧🐝 Try Coroot fully FOSS or Enterprise and check out the latest open source observability tips on our blog: https://t.ly/qBH9f
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Observability doesn’t begin and end at telemetry or your ELK stack: most open source or vendor tools require configuration, dashboard customization, and may not actually pinpoint the data you need to mitigate system risks.

Coroot was designed to solve the problem of time-consuming root cause analysis: it handles the full observability journey — from collecting telemetry to turning it into actionable insights. We also strongly believe that simple observability should be an innovation everyone can afford to benefit from: which is why our software is open source.

Check out the timestamps below to jump to a specific how-to:

00:00 - What is Observability?
00:40 - Zero-Configuration Service Map
01:35 - SLO Insights, Alerting, and Integrations (Including Slack)
02:40 - Instance Availability Insights & Instance Restarts
03:30 - CPU Observability (CPU & Node usage, CPU delay, and CPU consumption)
04:28 - Memory Insights (OOM Leaks, Node memory usage, and Memory consumption)
05:30 - Network Observability (Active TCP connections, TCP latency, Network RTT)
06:43 - DNS Observability (DNS Errors, Latency, and Requests by type/second)
07:50 - Simplifying Logs (Time-Stamp Heatmap, Log prioritization, Patterns, and Search)
08:45 - Application Health Summary (Prioritize your time by sorting app issues by severity)
09:35 - AI-Based Root Cause Analysis
10:35 - Cost Analysis (Automatically calculate AZ Traffic and costs per application. Goodbye, ugly cloud bill.)