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Hypertrace
What it is
Hypertrace is a real-time observability platform that analyzes distributed traces to show production request behavior and network trends. Its Trace UI follows a request across services and backends, showing context, errors, and delays; Application Flow maps traced traffic as a service graph. Dashboards present global health, while teams can examine endpoint latency, backend queries, real-time metrics, and paths through the system. Hypertrace supports OpenTelemetry, Jaeger, and Zipkin trace formats, and supplies OpenTelemetry-based agents for Java, Go, and Python. It can run locally with Docker Compose or deploy to Kubernetes using Helm charts. The project describes use by infrastructure, service, and deployment teams investigating overloads, failed requests, or performance changes after software updates. Hypertrace Core and its data collection agents use Apache 2.0, while Community Edition includes components under the Traceable Community License, which excludes using covered software to provide a competing online service. The project says its quick-start ingester and service components are not supported for production because of scaling and reliability limitations.
For and against
For
- Trace UI displays request paths, context, errors, and delays
- Application Flow presents a service graph
- Supports OpenTelemetry, Jaeger, and Zipkin
- Agents are available for Java, Go, and Python
- Can deploy locally or on Kubernetes
Against
- Quick-start ingester and service components are not production-supported
- Community Edition license excludes competing online services
The verdict
Hypertrace provides trace exploration, service mapping, and dashboards for teams diagnosing production request behavior. Its production caveat and Community Edition license restriction should be considered when selecting a deployment and license.
Who it suits
Hypertrace is aimed at infrastructure, service, and deployment teams investigating failed requests, service overload, or changes in performance between software versions. It may suit teams working with supported distributed trace formats and local or Kubernetes deployments.
Plans and prices
Hypertrace Community Edition
Services, Endpoints, Backends and Service Graph features · Traceable Community license
Read 11 Oct 2026 · github.com
Hypertrace Core
Distributed trace ingestion and exploration features · Apache 2.0 license
Read 11 Oct 2026 · github.com
On the record
- Dashboards
- The Dashboard UI shows global health, including frequently called endpoints, services and backends.docs.hypertrace.org · read 11 Oct 2026
- Dashboards and analysis
- The platform provides custom dashboards, real-time metrics aggregation, and path-based analysis.docs.hypertrace.org · read 11 Oct 2026
- Data formats
- Hypertrace supports OpenTelemetry, Jaeger, and Zipkin trace formats.docs.hypertrace.org · read 11 Oct 2026
- Deployment
- Hypertrace can be deployed on Kubernetes with Helm charts or run locally with Docker Compose.docs.hypertrace.org · read 11 Oct 2026
- Instrumentation agents
- Hypertrace provides open-source OpenTelemetry-based agents for Java, Go, and Python.docs.hypertrace.org · read 11 Oct 2026
- Intended teams
- The project describes infrastructure, service and deployment teams as users who can investigate overloads, failed requests and problems introduced by new versions.docs.hypertrace.org · read 11 Oct 2026
- License limit
- The Traceable Community License excludes using covered software to provide an online service that competes with Traceable products or services providing that software.docs.hypertrace.org · read 11 Oct 2026
- Licensing
- Hypertrace Core and its data collection agents use Apache 2.0, while Community Edition includes components under the Traceable Community License.docs.hypertrace.org · read 11 Oct 2026
- Production deployment note
- The project README says its hypertrace-ingester and hypertrace-service quick-start components are not supported for production because of scaling limitations and reliability issues.github.com · read 11 Oct 2026
- Production limitation
- The project says hypertrace-ingester and hypertrace-service are for local deployment and quick start and are not supported for production because of limitations and scaling reliability concerns.github.com · read 11 Oct 2026
- Purpose
- Hypertrace is a real-time observability platform that turns distributed trace data into insights about production requests and network trends.docs.hypertrace.org · read 11 Oct 2026
- Rollout monitoring
- Teams can compare service and backend performance during upgrades and investigate whether a changed service is causing slow requests.docs.hypertrace.org · read 11 Oct 2026
- Root cause analysis
- It can show the services, endpoints and backends involved in a failed request, including contextual errors, to help locate the cause.docs.hypertrace.org · read 11 Oct 2026
- Security update
- The project says it upgraded dependent repositories to Log4j 2.17 after disclosing vulnerabilities in versions 2.15 and below, and recommends upgrading to v0.2.7 or current charts.github.com · read 11 Oct 2026
- Service and backend health
- Service owners can view endpoint health and latency with dependencies, while backend owners can inspect slow queries and trends.docs.hypertrace.org · read 11 Oct 2026
- Service graph
- The Application Flow UI visualizes traced traffic across the network as a service graph.docs.hypertrace.org · read 11 Oct 2026
- Support
- The project points users to its Slack workspace and GitHub Discussions for questions and community help.github.com · read 11 Oct 2026
- Supported deployment platforms
- The deployment documentation lists Docker Desktop, Minikube, MicroK8S, AWS EKS, GCP GKE, Azure AKS, Windows 10 and AWS AMI.docs.hypertrace.org · read 11 Oct 2026
