Want to start incorporating an observability strategy into your cloud native stack?
Microservices have broken monitoring tools and practices. Traditional methods of application logging and host-based metrics can’t provide accurate and timely signals for issues impacting production. OpenTelemetry solves this dilemma by providing a single set of APIs, SDKs, and automatic instrumentation tools that give you the ability to understand your distributed system and the performance of individual services within it.
In this workshop, you’ll learn about the history and theory behind OpenTelemetry and why it’s essential to developing and deploying modern software. We’ll learn by doing, taking an existing microservices application and instrumenting it for observability using the many tools OpenTelemetry provides.
We’ll use open source tools, like Jaeger and Prometheus, to ingest this telemetry data and show how you can analyze it in order to understand the performance of the application and identify performance regressions in your software.
Learn how to:
- Identify the fundamentals of the distributed tracing data model.
- Discover key features of OpenTelemetry.
- Instrument systems for maximum benefit.
- Analyze bottlenecks and critical paths with Jaeger and Zipkin.
- Correlate trace data and other metadata.
- Configure and switch APM backends easily.
Starts at 9:00 AM AWST (1:00 AM UTC)
Our team is happy to discuss other options with you.
Contact us at firstname.lastname@example.org and mention ref:
Private tuition and large-group discounts are also available. Find out more here.
Who should take this course?
Application developers, systems engineers, and SREs.
Experience reading, debugging, and compiling programs written in Go or Python
In this course, you'll develop an understanding of observability by exploring topics and activities like:
- History and theory behind OpenTelemetry
- Why observability is essential to developing and deploying modern software
- Instrumenting a microservices application for observability
- Analyzing telemetry data using open source tools