Coralogix donates 19,000 lines of code to OpenTelemetry project

Coralogix has donated over 19,000 lines of production-tested code to the OpenTelemetry eBPF Instrumentation (OBI) project.

This sizeable contribution is intended to enable full, automatically generated distributed traces for software systems, eliminating the requirement for developers to manually instrument their applications. The donated code allows for trace generation without any changes to application code through an eBPF-powered auto-instrumentation method, aiming to simplify observability for organisations deploying software at scale.

Manual instrumentation has long been recognised as a barrier to widespread adoption of OpenTelemetry and distributed tracing. Typically, teams need to modify code, manage language-specific agents, and coordinate across various services, which can slow development, fragment data collection, and increase both cloud costs and engineering overhead. By providing automated tracing through OBI, Coralogix intends to reduce these obstacles, making it easier for organisations to embrace open and vendor-neutral observability solutions.

The contributed code from Coralogix features automatic trace stitching and supports a zero-instrumentation deployment method, utilising Kubernetes DaemonSet or Helm. This enables teams to rapidly stream high-quality traces, logs, and metrics from both modern and legacy systems, with minimal performance overhead. Data is output in the OpenTelemetry Protocol (OTLP) format, making it compatible with any OpenTelemetry-compliant backend.

Collaboration and deployment

This donation was carried out in collaboration with Grafana Labs and the wider OpenTelemetry community, reinforcing an upstream-first approach intended to support broad adoption. This collaborative effort underlines the emphasis on vendor-neutrality and ease of use, supporting fast onboarding for organisations of various sizes and across diverse technological environments.

"Instrumentation shouldn't be a developer tax," said Yoni Farin, CTO and Co-founder at Coralogix. "By contributing OBI to the OpenTelemetry community, and building it in the open with Grafana Labs, we're making high-fidelity distributed tracing something that any team can turn on with a simple deployment. One DaemonSet, one Helm command, and your entire stack can light up. That's what open observability should feel like."

With OBI now available as an open community project, users can deploy the OBI DaemonSet or Helm chart, integrate with the OpenTelemetry Collector, and route observability data to Coralogix, Grafana Tempo, Jaeger, or any OpenTelemetry-compatible destination. The project encourages active involvement from the community, inviting contributions, bug reports, and general feedback.

Broader impact

The OpenTelemetry eBPF Instrumentation project has been developed to address a consistent challenge for organisations seeking to implement observability tooling across complex, polyglot environments. The absence of manual instrumentation reduces friction, permitting faster, more scalable monitoring practices. This enables businesses to better manage performance, reliability, and cost, without the burden of additional developer workload.

Coralogix's approach, in association with other OpenTelemetry stakeholders, highlights a trend toward standardisation and openness in the observability sector. Events such as this code donation are positioned to help organisations transition legacy and hybrid applications to modern monitoring architectures, supporting operational insight and resilience in production environments.

The donated codebase, containing over 19,000 lines, is intended to reinforce open observability at global scale, supporting both immediate and long-term monitoring needs. The OpenTelemetry community has prioritised lowering the barriers to entry for distributed tracing, and contributions from vendors such as Coralogix are integral to those efforts.

Organisations and individuals using OpenTelemetry now have another vendor-neutral tool for integrating distributed tracing and observability into their workflows, without manual intervention or proprietary lock-in. The project remains open for further enhancements as community feedback and usage continue to grow.