About
Odigos builds an open-source observability and distributed-tracing platform for platform engineers, DevOps professionals, SREs, and large enterprises. Its eBPF-based approach automatically generates traces across Kubernetes and virtual-machine environments without code changes, helping organizations improve monitoring quickly.
Market
Odigos competes in the cloud-native application observability, distributed tracing, and OpenTelemetry pipeline market, serving Kubernetes and Linux-VM environments. It differentiates through an open-source control plane that combines eBPF and OpenTelemetry for code-free instrumentation, automatically manages and scales collectors, and exports vendor-neutral OTLP data to existing backends. Compared with narrower eBPF agents or Kubernetes monitoring tools such as Beyla, OBI, and Pixie, Odigos emphasizes centralized governance, multi-environment orchestration, broad destination flexibility, and reduced vendor lock-in.
Odigos is aimed at industry-agnostic, cloud-native organizations running polyglot applications on Kubernetes and Linux virtual machines, with particular value for enterprises operating complex or large-scale deployments. Its primary users and buyers are platform engineers, DevOps professionals, SREs, and developers who need code-free, vendor-neutral observability and centralized telemetry-pipeline management.
At a Glance
Problem
Modern applications span hundreds of pods, nodes, services, and geographies, making it difficult to obtain a holistic view of production behavior. Distributed tracing is especially valuable because it connects activity across services, but it is also difficult to implement comprehensively: a conventional observability pipeline can take months, require extensive code changes across multiple R&D teams, and demand scarce OpenTelemetry, instrumentation, and collector-management expertise. The resulting burden is engineering time, operational complexity, and a higher risk of blind spots during incidents.
Odigos also addresses the cost and lock-in created by proprietary observability agents and data formats. Its clearest use case is production troubleshooting in distributed systems: when even one service fails to emit trace context, the value of the overall trace drops sharply, making it harder to identify the exact request, function, query, or service that caused an outage.
Product / Service
Odigos is an open-source observability control plane and commercial enterprise offering built around OpenTelemetry and eBPF. It detects the languages and applications running in Kubernetes or on Linux virtual machines, automatically applies the appropriate instrumentation, generates traces, metrics, and logs without code changes, and deploys and scales the required OpenTelemetry collectors. eBPF handles compiled and otherwise difficult-to-instrument workloads, while OpenTelemetry provides a vendor-neutral data format.
The delivery model combines a free, self-managed open-source edition with a 14-day enterprise trial that adds capabilities such as deeper eBPF coverage, multi-cluster support, security, and premium support. Odigos can run alongside existing destinations such as Datadog, New Relic, Honeycomb, Grafana Cloud, Jaeger, Tempo, Loki, and SigNoz, so customers can add missing instrumentation without immediately replacing their monitoring stack. The stated benefit is faster root-cause analysis with no redeploys or manual instrumentation and claimed CPU impact below 1%.
Market
Odigos competes in cloud-native observability infrastructure, particularly OpenTelemetry instrumentation, distributed tracing, and observability-pipeline control planes. Its competitive and adjacent set includes proprietary APM and monitoring platforms such as Datadog, New Relic, Honeycomb, and Grafana Cloud, as well as open-source tools including Jaeger, Tempo, Loki, and SigNoz. Odigos also positions its application-level eBPF approach against other instrumentation approaches such as OpenTelemetry-native and network-level eBPF visibility, while emphasizing interoperability rather than mandatory replacement of incumbent tools.
The company was founded in 2023, joined Y Combinator's Winter 2023 batch, and announced more than $13 million of funding in September 2024 from Venture Guides, Salesforce Ventures, Mango Capital, Firestreak Ventures, and other industry investors. Its open-source repository showed 3,673 stars and 257 forks, and the company lists production users or references including T-Mobile, CSAA, Avodaq, Avetta, HPE, InPost, DeepHealth, and Omnissa. The evidence indicates an active enterprise go-to-market rather than a purely pre-product company, but it does not disclose revenue, so its precise revenue status cannot be determined from the available information.
Founders & Leadership
Funding History
Y Combinator
Venture Guides
Recent News
ClickHouse’s integration-partners documentation lists Odigos as a partner and describes its combination of eBPF and OpenTelemetry for deeper distributed traces with lower overhead than bytecode agents.
Odigos describes wiring incident detection to its MCP server so instrumentation deepens when a problem opens and reverts when the incident closes.
The release explains how Odigos captures custom C++ methods using eBPF instrumentation without requiring application code changes.
Continuous profiling is built into Odigos, allowing profiles to be collected and visualized in a lightweight in-memory experience, with optional OTLP Profiles export for historical analysis.
Odigos addresses limited visibility into production LLM calls, which may otherwise appear as generic HTTP requests without model, token, or finish-reason details.
The article explains how Odigos captures end-to-end distributed traces in messaging frameworks to help diagnose application issues.
OpenTelemetry announced the first alpha release of its eBPF instrumentation initiative, with Odigos and other community members participating.
Odigos introduced Odigos Central, an on-premises control plane and unified UI for managing observability across multiple clusters and virtual machines.
Odigos announced new features in its Google Cloud Platform destinations to simplify authentication with Google Cloud Observability.
Odigos described combining browser session replays from the HyperDX Browser SDK with backend distributed traces to connect user experiences to application behavior.
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Get notified when they postBusiness Model
Odigos uses an open-core model: customers can run the open-source product themselves, while enterprise customers can purchase or trial a commercial tier offering deeper eBPF capabilities, multi-cluster support, security features, and enterprise support.