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Open source systems monitoring and alerting toolkit with a dimensional data model and powerful query language.

• Monitoring

Application monitoring platform that helps developers diagnose, fix and optimize the performance of their code.

• Monitoring

Vendor-neutral pipeline for collecting, processing, and exporting traces, metrics, and logs from applications to any observability backend.

• Monitoring

Event-based monitoring and observability pipeline that gives teams full control over how monitoring events are processed and routed.

• Monitoring

High-performance observability data pipeline for collecting, transforming, and routing logs, metrics, and traces.

• Monitoring

Open source platform for monitoring and observability, letting you query, visualize and alert on metrics.

• Monitoring

CNCF-graduated log collector that unifies data collection from many sources into a single, structured logging layer.

• Monitoring

Horizontally scalable log aggregation system, designed by the Grafana team to pair with Prometheus-style metrics using the same labels.

• Monitoring

Purpose-built time-series database for metrics, events, and real-time analytics at high write volumes.

• Monitoring

CNCF distributed tracing platform for visualizing request flows across microservices, pinpointing exactly which service or call is responsible for latency or errors.

• Monitoring

Automatic OpenTelemetry instrumentation platform that adds distributed tracing to applications without changing a single line of code.

• Monitoring

CNCF dashboarding tool for visualizing observability data, built around portable, version-controllable dashboard definitions.

• Monitoring

Cloud-native search engine purpose-built for observability data, indexing logs and traces directly on object storage for cost-efficient search at scale.

• Search

Time-series metrics storage and graphing system that has been a foundational building block of monitoring stacks for over a decade.

• Monitoring

Kubernetes Efficient Power Level Exporter that measures and exposes the energy consumption of workloads running on a cluster.

• Monitoring

Horizontally scalable, distributed time-series database and metrics platform built at Uber for very large-scale monitoring.

• Monitoring

Real-time, per-second monitoring dashboard that auto-discovers metrics across your infrastructure with zero configuration.

• Monitoring

eBPF-based observability platform that gives instant visibility into Kubernetes applications without any code changes or manual instrumentation.

• Monitoring

Application performance monitoring (APM) platform providing distributed tracing, service topology, and metrics in one system.

• Monitoring

Extends Prometheus with long-term storage, global querying across clusters, and high availability for large-scale metrics deployments.

• Monitoring

Self-hosted uptime and status monitoring tool with a reactive dashboard, covering HTTP, TCP, DNS, ping, Docker containers, and more.

• Monitoring

Enterprise-grade infrastructure and network monitoring platform with built-in alerting, auto-discovery, and long-term data storage.

• Monitoring