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Industrial-grade neural machine translation and PII anonymization for secure enterprise data workflows.
Enterprise Grade OpenTelemetry with Zero-Code eBPF Instrumentation

Odigos is an enterprise-grade observability control plane built on OpenTelemetry and eBPF. As autonomous agents and AI coding assistants generate production code at unprecedented rates, engineers increasingly struggle to maintain a mental map of their systems. Odigos bridges this gap by automatically instrumenting applications without requiring a single line of code modification. Leveraging kernel-level eBPF technology, it provides deep visibility into distributed microservices across multiple languages (Go, Java, Python, Node.js, .NET) with zero performance overhead. Rather than locking teams into a single monitoring vendor, Odigos acts as an intelligent routing layer. Users can visually map their telemetry data—traces, metrics, and logs—from their Kubernetes clusters to any backend destination, such as Datadog, Grafana, Honeycomb, or Jaeger. With enterprise features like PII redaction, secure role-based access control, and pipeline optimization, Odigos empowers DevOps, SREs, and platform engineering teams to future-proof their telemetry infrastructure and regain control over highly complex, AI-augmented cloud-native architectures.
Odigos is an enterprise-grade observability control plane built on OpenTelemetry and eBPF.
Explore all tools that specialize in ebpf-powered instrumentation. This domain focus ensures Odigos delivers optimized results for this specific requirement.
Explore all tools that specialize in multi-backend integration. This domain focus ensures Odigos delivers optimized results for this specific requirement.
Explore all tools that specialize in pii redaction. This domain focus ensures Odigos delivers optimized results for this specific requirement.
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Injects OpenTelemetry-compatible tracing logic directly at the Linux kernel level via Extended Berkeley Packet Filter (eBPF) without modifying source code.
Automatically detects the runtime language (Go, Java, Python, Node.js, C++, .NET) of target pods and deploys the optimal eBPF or runtime agent.
A React-based UI that allows operators to drag and drop connections between instrumentation sources and observability sinks.
Analyzes payload data at the edge collector level and applies regex/machine learning rules to mask sensitive info before transmission.
Utilizes highly optimized Rust-based collectors and non-blocking eBPF ring buffers to stream data out of application space.
Standardizes all collected telemetry into the vendor-neutral OpenTelemetry (OTLP) format.
Install the Odigos CLI or apply the Helm chart to your Kubernetes cluster.
Access the Odigos UI or use the CLI to select the namespaces or specific deployments to monitor.
Select your desired observability backends (e.g., Datadog, Prometheus, Grafana Cloud) from the integrations list.
Apply the configuration and watch Odigos automatically inject eBPF probes and route telemetry data.
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Verified feedback from other users.
“Highly praised for its ease of use and 'magic' zero-code instrumentation, though some users note advanced custom metric extraction requires a learning curve.”
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Industrial-grade neural machine translation and PII anonymization for secure enterprise data workflows.

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