“Easy Instrumentation” or “Portable Instrumentation” — Choose Two
by Ben Sigelman
The contribution of Datadog’s automatic instrumentation code to OpenTelemetry will make it easier than ever to get started with distributed tracing. With support for hundreds of popular frameworks across seven languages, the new OpenTelemetry auto instrumentation initiative is off to a great start.
However, you don’t need to wait for the OpenTelemetry port to take advantage of automatic instrumentation in LightStep!
LightStep’s Satellite Architecture now natively supports the data format of these contributed auto-instrumentation libraries. This means that you can start using them now, independent of OpenTelemetry’s development timeline. With our free-forever Developer plan and step-by-step guide you can get insights from all your data in LightStep in minutes (and without any code changes).
Supporting easy integration of this additional trace data format aligns with LightStep’s larger goal: making it fast and painless to see what’s really happening with your applications.
Whether you’ve instrumented with Jaeger, Zipkin, or OpenTracing — or whether you take advantage of the the auto-instrumentation in the libraries Datadog is contributing to OpenTelemetry — we’re making it easier to quickly get complete visibility into complex, multi-layered systems.
And as the OpenTelemetry project continues to mature, we look forward to working closely with framework and application developers to pursue our vision: best-in-class observability, by default.
Ben SigelmanCEO and Cofounder
Ben Sigelman is a co-founder and the CEO at LightStep, a co-creator of Dapper (Google’s distributed tracing system), and co-creator of the OpenTracing and OpenTelemetry projects (both part of the CNCF). Ben's work and interests gravitate towards observability, especially where microservices, high transaction volumes, and large engineering organizations are involved.