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Maple is an open-source observability platform for monitoring traces, logs, and metrics across distributed applications. Built on OpenTelemetry and powered by ClickHouse, it helps development and operations teams collect, visualize, search, and correlate telemetry data for faster troubleshooting and system analysis. (maple.dev)
The platform includes distributed tracing, structured log management, metrics dashboards, service maps, error tracking, browser session replay, alerting, and Kubernetes monitoring. Teams can follow requests across services, inspect span attributes, connect logs with trace IDs, review service dependencies, group recurring errors, and configure alerts through channels such as Slack, Discord, PagerDuty, or webhooks. (maple.dev)
Maple also provides AI and Model Context Protocol integration, allowing compatible agents to search telemetry, identify service errors, inspect related source code, and propose fixes. It supports OpenTelemetry-compatible languages and can be used as a hosted service or self-hosted on your own infrastructure. A local version runs as a single binary with telemetry ingestion, ClickHouse storage, query APIs, and a dashboard for development and private environments. (maple.dev)
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