5 tools tagged
Showing 5 of 5 tools
High-cardinality observability platform for debugging production systems
Honeycomb is an observability platform built for high-cardinality data analysis that enables debugging of complex distributed systems. It provides interactive query exploration, distributed tracing visualization, and SLO monitoring without requiring pre-defined dashboards or metrics aggregation. Raised over $115M to build query-driven observability where any dimension can be used to slice production data.
OpenTelemetry-native observability for LLM applications with evals and GPU monitoring
OpenLIT is an open-source AI engineering platform that provides OpenTelemetry-native observability for LLM applications. It combines distributed tracing, evaluation, prompt management, a secrets vault, and GPU telemetry in a single self-hostable stack. With 50+ integrations across LLM providers and frameworks, it lets teams monitor AI applications using their existing observability backends like Grafana, Datadog, or Jaeger.
Open-source observability platform unifying logs, traces, and session replays
HyperDX is an open-source observability platform that correlates session replays, logs, metrics, traces, and errors in a single interface powered by ClickHouse and OpenTelemetry. Acquired by ClickHouse in 2025, it now forms the visualization layer of ClickStack. It offers schema-agnostic querying on any ClickHouse cluster, intuitive full-text and property search syntax, and blazing-fast analytics. Available as a self-hosted Docker deployment or a managed cloud service with a free tier.
All-in-one open-source observability — logs, metrics, traces, RUM
OpenObserve is an open-source observability platform that unifies logs, metrics, traces, and real user monitoring in a single binary. It claims 140x lower storage costs than Elasticsearch through columnar storage and compression, with native OpenTelemetry support, a built-in query UI, dashboards, and alerts. Designed for AI and cloud-native workloads at petabyte scale. Over 15,000 GitHub stars.
Open-source distributed tracing for microservice observability
Jaeger is a CNCF-graduated open-source distributed tracing platform developed by Uber Technologies for monitoring microservice architectures. It captures trace data as requests flow through distributed systems, visualizing service dependencies and identifying latency bottlenecks. Jaeger supports OpenTelemetry natively and integrates with Grafana, Elasticsearch, and Kafka for production-scale observability with configurable storage backends.
