Open Source Go Application Performance Monitoring Tools

Elastic APM is an application performance monitoring system built on the Elastic Stack. It allows you to monitor software services and applications in real-time, by collecting detailed performance information on response time for incoming requests, database queries, calls to caches, external HTTP requests, and more. This makes it easy to pinpoint and fix performance problems quickly. Elastic APM also automatically collects unhandled errors and exceptions. Errors are grouped based primarily on the stack trace, so you can identify new errors as they appear and keep an eye on how many times specific errors happen. Metrics are another vital source of information when debugging production systems. Elastic APM agents automatically pick up basic host-level metrics and agent-specific metrics, like JVM metrics in the Java Agent, and Go runtime metrics in the Go Agent.

Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. Navigate directly from investigating a slow trace to identifying the specific line of code causing performance bottlenecks with code hotspots.

DeepFlow provides a universal map with Zero Code by eBPF for production environments, including your services in any language, third-party services without code and all cloud-native infrastructure services. In addition to analyzing common protocols, Wasm plugins are supported for your private protocols. Full-stack golden signals of applications and infrastructures are calculated, pinpointing performance bottlenecks at ease. Zero Code distributed tracing powered by eBPF supports applications in any language and infrastructures including gateways, service meshes, databases, message queues, DNS, and NICs, leaving no blind spots. Full-stack network performance metrics and file I/O events are automatically collected for each Span. Distributed tracing enters a new era, Zero Instrumentation. DeepFlow collects profiling data at a cost of below 1% with Zero Code, plots OnCPU/OffCPU function call stack flame graphs, and locates Full Stack performance bottleneck in the application.

Uptrace is an open-source APM tool that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and more. Uptrace is an open-source APM that supports OpenTelemetry tracing, metrics, and logs. You can use it to monitor applications and set up alerts to receive notifications via email, Slack, Telegram, and more. Uptrace collects and analyzes data from a variety of sources, including servers, databases, cloud providers, monitoring tools, and custom applications. It provides a unified view of the entire technology stack, enabling you to monitor the performance, availability, and health of your systems in real-time. Uptrace allows to monitor your whole application stack on a compact and informative dashboard. You get a quick overview for all your services, hosts, and systems.