Distributed tracing in microservices
Follow a request end-to-end across multiple services to identify bottlenecks and understand dependencies.
Observabilité · Courses
OpenTelemetry: From Discovery to Expertise
Master the observability standard. Learn to instrument your applications, collect and export your traces, metrics and logs with OpenTelemetry.
At your pace, through practice.LEARNING PATH
Course curriculum
0Course overview1 lessons
1Introduction1 lessons
2The OpenTelemetry architecture1 lessons
Understand the key components: the API, the SDK and the OTLP protocol.
3The OpenTelemetry Collector4 lessons
The brain of your observability pipeline: configuring receivers, processors and exporters.
4Instrumenting applications3 lessons
Learn to generate data with auto-instrumentation and manual instrumentation (SDK).
5The signals: traces, metrics and logs1 lessons
Details on handling and correlating the three pillars of observability.
6Deployment and hands-on practice1 lessons
A real-world scenario with Docker and Kubernetes.
LEARN BY DOING
Use cases & applications
Standardizing log collection
Use a unified log format across every application, regardless of language, and automatically enrich it with trace context.
Custom application metrics
Create business metrics (e.g. abandoned carts, revenue per minute) and export them to a system such as Prometheus or Mimir.
Frequently asked questions
What is OpenTelemetry?
It's a standard and a set of open-source tools (API, SDK, Collector) for instrumenting, generating, collecting and exporting telemetry data (traces, metrics, logs).
What is OTLP?
It's OpenTelemetry's native protocol (OpenTelemetry Protocol) for transporting telemetry data efficiently and in a standardized way between the different components.
Do I need to change my backend if I use OpenTelemetry?
No, that's one of its major strengths. OTel is vendor-agnostic and can send data to many backends (Jaeger, Prometheus, Dynatrace, Datadog, etc.) via exporters, sparing you from vendor lock-in.