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OpenObserve: Open Source Observability Platform - Application Performance Monitoring and Management (APM) Tool

Application Performance Monitoring and Management (APM)

OpenObserve: Open Source Observability Platform

OpenObserve: Open Source Observability Platform

Fast, scalable and cost-effective open source observability platform. Monitor logs, metrics & traces with 140x lower storage costs than Elasticsearch. Start in 2 minutes.

Cost

Free Tier

Rating

People love it

Time to value

Quick Setup (< 1 hour)

You can use OpenObserve to monitor logs, metrics, and traces across your distributed systems. It provides an observability platform that stores telemetry data at significantly lower costs than traditional solutions. You can query petabyte-scale data quickly using its Rust-based architecture and Parquet file storage. The tool supports OpenTelemetry standards and integrates with existing workflows while offering high compression ratios and flexible storage options including S3, GCS, and Azure Blob Storage.

What OpenObserve: Open Source Observability Platform does

Ingest logs from multiple application sourcesQuery metric data across time rangesSet up distributed tracing for microservicesConfigure storage backends for long-term retentionCreate dashboards for system monitoringSet up alerts for performance thresholdsAnalyze application bottlenecks using tracesMigrate observability data from existing systems140x lower storage costs than ElasticsearchHigh compression with Parquet formatQuery petabyte data in 2 secondsWritten in Rust for performanceStateless architecture for horizontal scalingSupport for multiple cloud storage backendsOpenTelemetry compatibilityOpen source with AGPL-3.0 license

Tutorials & Demos

Frequently asked

OpenTelemetry, S3, MinIO, Google Cloud Storage, Azure Blob Storage

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OpenObserve, observability platform, application monitoring, logs monitoring, metrics tracking, distributed tracing, OpenTelemetry, Rust, Parquet storage, APM, system monitoring, telemetry data, performance monitoring, infrastructure monitoring, log analysis, open source monitoring