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.