Practical Open Telemetry with Demos
Published 11/2025
Duration: 1h 38m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 620.24 MB
Genre: eLearning | Language: English
Published 11/2025
Duration: 1h 38m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 620.24 MB
Genre: eLearning | Language: English
OTLP Setup and Usage in Docker and Kubernetes
What you'll learn
- Key components of Observability and how they tie to Open Telemetry
- The differences between Metrics, Traces and Logs
- The configuration of Open Telemetry in Docker and Kubernetes
- Using Open Telemetry in Docker and Kubernetes
- Configuring Open Telemetry with Leading Observability SaaS providers
Requirements
- A basic understanding of docker
- Helpful to have an understanding of Kubernetes
Description
In this course we are going to do an introduction to observability with a focus on open telemetry. When it comes to open telemetry, our focus will be on logs, metrics and trace data.
We're going to look at how to use open telemetry in Docker and Kubernetes using docker, docker-compose, kubectl and helm. We will explore the differences between the standard Open Telemetry collector and the contrib collector, and touch on some common patterns and practices. We will show how to setup and use Dapr in order to leverage a practical calculator microservice example.
Attendees of this introductory course should come away with a good understanding of what Observability means and how it can be leveraged in their organizations. They will be aware of the common ports and protocols for GRPC and HTTP data. Lastly, they will be aware of the steps it takes to change the Open Telemetry collector to receive from various ingestion services as well as export to various receivers. This course covers sending data to some common commercial vendors like Sumo Logic, Datadog and New Relic as well as local services like Zipkin.
The tools used will be Docker, Kubernetes, YAML and JSON configuration files, Helm, and Kubectl. The local kubernetes environment uses Rancher k3s. Any uses of external SaaS observability suites like Datadog, New Relic and Sumo Logic will leverage only their free tiers of service.
This course is not intended to be a walk through for the actual software coding steps it takes to add open telemetry to dotnet, java, react and other programming languages; there are other courses that are designed around the coding side of OTLP. This course is focused on the setup and usage of the Open Telemetry collector and Dapr framework with a focus on new developers, SRE, Operations and Project Management.
Who this course is for:
- Software Managers, Project managers, DevOps and SREs helping setup an OTEL Stack
- Beginner Developer looking to understand Observability Concepts
- Those looking to integrate Open Telemetry with Datadog, New Relic or Sumo Logic
More Info