Open-source Groundcover alternatives

SigNoz is an observability platform, open source and built on OpenTelemetry. It aims to replace a fragmented monitoring stack with a single place for logs, metrics, traces, alerts, exceptions and dashboards, and it presents itself as useful for both engineering teams and their AI agents.

The APM view follows how each service performs, covering latency, error rate, throughput, Apdex, the busiest endpoints, and calls to databases and external services. Log management supports ingesting, searching and correlating logs with traces and metrics through a visual query builder. Dashboards can be built with a query builder, PromQL or ClickHouse SQL, infrastructure monitoring covers Kubernetes clusters, pods, nodes and host resources, and LLM and AI observability traces prompts, tool calls, tokens, latency and cost.

You can choose how to run it. SigNoz Cloud is fully managed, with a 30-day free trial and usage-based pricing that starts at $49. Enterprise options cover cloud, bring-your-own-cloud and self-hosted deployments with extra support and controls. The free Community edition runs in your own infrastructure via Docker, Kubernetes or Linux. The repository license is listed as 'Other' on GitHub.

Coroot is an open-source observability and application performance monitoring tool. Its pitch is that collecting metrics, logs and traces is not enough on its own, so it turns the data into actionable insights, including AI-powered root cause analysis, predefined inspections and a service map.

It gathers metrics, logs, traces and continuous profiles automatically with eBPF, so legacy and third-party services can be observed without code changes, and it is also vendor-neutral through OpenTelemetry instrumentation. Features include a service map, application health summaries, SLO tracking and alerting, distributed tracing, log pattern clustering with logs-to-traces correlation using ClickHouse, and one-click profiling that drills down to the line of code. Predefined inspections audit each application without configuration.

Coroot is written in Go and licensed under Apache-2.0, with a live demo, documentation and a separate Coroot Enterprise edition. Topics include database monitoring, microservices and Prometheus. It suits SRE and platform teams that want observability for Kubernetes and Linux workloads without manually instrumenting every service.

Pixie is an open-source observability platform made for applications running on Kubernetes. It gives a high-level view of a cluster, including service maps, resource usage and application traffic, and lets you drill into individual pods, flame graphs and full request bodies without adding instrumentation code to your services.

It relies on eBPF to gather telemetry automatically, covering requests, resource and network metrics and application profiles. Data is collected, stored and queried on the cluster itself, an approach the project calls in-cluster edge compute, which keeps raw telemetry local and limits overhead. Scripts written in a Python-based, dataframe-style language let you build custom views, and the project is hosted by the Cloud Native Computing Foundation.

Pixie is licensed under Apache-2.0 and is installed into your own Kubernetes cluster, whether a local one such as minikube or a managed cluster on GKE, EKS or AKS. It suits platform and application teams that want fast insight into service behavior without a separate agent-heavy monitoring stack.

Odigos is an open-source distributed tracing solution aimed at Kubernetes environments and virtual machines. Its core promise is instant tracing without changing application code, which helps platform engineers, DevOps professionals and SREs improve observability quickly.

It builds on OpenTelemetry and eBPF to instrument applications automatically, covering languages such as Go, Java, .NET, Node.js and Python according to the repository topics, and it can emit traces, metrics and logs. The data can be sent to many observability back ends, so it fits into existing monitoring stacks. Documentation, a demo video and a Slack community are linked from the README. It is written in Go.

Odigos is licensed under Apache-2.0 and installed into your own cluster. It suits teams that want OpenTelemetry coverage across many services without rolling out SDKs and code changes service by service.