Maple
Maple is an open-source observability platform built natively on OpenTelemetry. It unifies distributed tracing, log management, metrics dashboards, error tracking, browser session replay, and alerting in a single interface. Logs...
What is Maple?
Maple is an open-source observability platform built natively on OpenTelemetry. It unifies distributed tracing, log management, metrics dashboards, error tracking, browser session replay, and alerting in a single interface. Logs correlate to traces automatically, a live service map surfaces bottlenecks, and an AI/MCP integration lets you query your telemetry in natural language. Flat per-GB pricing, no proprietary agents, and you can read the source.
Key Features
Unified Observability
Combines logs, metrics, traces, and error tracking into one simple dashboard.
Automatic Correlation
Links your logs and traces together automatically so you can find problems faster.
Service Mapping
Shows you a live map of your system to easily spot performance bottlenecks.
AI Querying
Lets you ask questions about your data using plain natural language.
Tool Information
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