This task can be performed using Maple
Open-source observability made simple with unified OpenTelemetry insights
Best product for this task
Maple
analytics
Maple is an OpenTelemetry-native observability stack that unifies traces, logs, and metrics with AI-assisted diagnostics. Engineering teams use it to debug microservices, investigate performance issues, and query massive telemetry datasets in milliseconds.
What to expect from an ideal product
- Maple automatically connects traces across your entire microservices architecture so you can follow requests from start to finish without jumping between different tools
- The platform brings together logs, metrics, and traces in one place, making it easy to spot what went wrong during incidents instead of searching through separate systems
- AI-powered diagnostics help you quickly identify root causes by analyzing patterns in your telemetry data and suggesting where problems likely started
- You can search through huge amounts of monitoring data in milliseconds, so debugging doesn't slow down when you're dealing with high-traffic microservices
- Built-in OpenTelemetry support means you get consistent observability across all your services without complex setup or vendor lock-in
