HyperTrace

HyperTrace

HyperTrace is an open-source distributed tracing and observability platform designed for microservices-based applications. It provides detailed visibility into complex transaction flows by correlating logs, metrics, and traces.
HyperTrace image
tracing logs metrics microservices distributed-systems

HyperTrace: Open-Source Distributed Tracing Platform

HyperTrace is an open-source distributed tracing and observability platform designed for microservices-based applications. It provides detailed visibility into complex transaction flows by correlating logs, metrics, and traces.

What is HyperTrace?

HyperTrace is an open-source distributed tracing and observability platform optimized for microservices architectures. It provides end-to-end observability and helps developers debug complex transaction flows across distributed systems.

Key capabilities and benefits of HyperTrace include:

  • Distributed tracing with support for OpenTelemetry, Zipkin, and Jaeger spans
  • Ingestion and correlation of logs, metrics, and traces in a single platform
  • Interactive visualizations for easy exploration of traces, services, and dependencies
  • Alerting based on traces and metrics to catch performance issues
  • Granular RBAC controls and security features leveraging SPIFFE and SPIRE
  • Scalable and fault-tolerant backend built on Kafka and Cassandra
  • Easy deployment options with Docker, Kubernetes, and demo environments

With its flexible data model and visualization layers, HyperTrace provides high-level overviews of system health as well as drill-down capabilities for debugging performance hotspots. It can be a valuable observability tool for developers and operators managing complex microservices landscapes.

HyperTrace Features

Features

  1. Distributed tracing
  2. Metrics monitoring
  3. Log management
  4. Incident management
  5. Service topology visualization
  6. Alerting and notifications

Pricing

  • Open Source
  • Free

Pros

Open source and free to use

Designed for microservices and cloud-native apps

Correlates metrics, logs and traces

Scalable and high performance

Easy to deploy and integrate

Cons

Limited out-of-the-box dashboards

Steep learning curve

Requires more manual configuration than some tools

Lacks advanced APM features like user session tracking


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