
Datadog
Observability platform for metrics, logs, and traces
Discover top open-source software, updated regularly with real-world adoption signals.

Instant distributed tracing for any app without code changes
Odigos provides code‑free, eBPF‑powered distributed tracing for Kubernetes and VMs, supporting Java, Python, .NET, Node.js, and Go, and auto‑scales OpenTelemetry collectors.

When teams consider Odigos, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Add tracing to a multi‑service Java microservice suite
Instant visibility into request flows across services without modifying any source code.
Instrument Go services running on VMs
Capture end‑to‑end traces using eBPF, enabling performance analysis without rebuilding binaries.
Scale observability in a high‑traffic Kubernetes cluster
Collectors auto‑scale based on data volume, maintaining low latency and cost.
Integrate with existing OpenTelemetry backend
Send OTLP traces to your preferred monitoring platform, preserving current tooling investments.
No, it uses eBPF to instrument processes at runtime, so no source modifications are needed.
Odigos runs on Linux kernels that support eBPF; Windows nodes are not currently supported.
It monitors incoming telemetry volume and automatically adds or removes OpenTelemetry collector instances via a built‑in web UI.
Yes, Odigos emits traces in OpenTelemetry format, which can be sent to any OTLP‑compatible backend.
Cluster‑admin privileges are required to deploy the eBPF agents and collector resources in Kubernetes.
Project at a glance
ActiveLast synced 4 days ago