
Odigos
Speed up OpenTelemetry with Odigos, an eBPF-based solution for zero-code, zero-overhead deep tracing.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor | €0.0 | round | |
* | $13.0m | Early VC | |
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
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Odigos is an open-source observability control plane that enables organizations to generate and maintain their observability pipeline. The platform allows applications to produce traces, metrics, and logs, which are essential for monitoring and troubleshooting complex systems.
Odigos specializes in providing distributed tracing, which is the process of tracking requests as they travel through a distributed system. This capability is particularly valuable for applications built with a microservices architecture, where a single request can trigger a chain of interactions between multiple services. By offering instant distributed tracing, Odigos helps developers and operations teams to quickly identify and resolve performance issues and bottlenecks.
The company's solution is designed for Kubernetes environments and virtual machines. It simplifies the adoption of OpenTelemetry, a set of tools, APIs, and SDKs for instrumenting, generating, collecting, and exporting telemetry data. A key feature of Odigos is its ability to provide these observability capabilities without requiring any code changes, which significantly lowers the barrier to adoption and reduces the burden on development teams.
The technology behind Odigos leverages eBPF (extended Berkeley Packet Filter), a kernel technology that allows for running sandboxed programs in the operating system kernel. This enables Odigos to collect detailed telemetry data with low overhead.
Odigos serves clients who operate applications in modern, cloud-native environments and need to improve their observability posture. The business model is likely based on offering support, enterprise-grade features, and managed services around their open-source product.
Keywords: observability, distributed tracing, OpenTelemetry, Kubernetes, microservices, eBPF, performance monitoring, cloud-native, no-code, application monitoring