Getting Started with OpenTelemetry (LFS148) Course Overview

Getting Started with OpenTelemetry (LFS148) Course Overview

Understand the basics of OpenTelemetry, including how to instrument code for traces, metrics, and logs; and use manual and automatic instrumentation to enhance observability in modern applications.

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  • Classroom Training fee on request

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Course Prerequisites

Prerequisites for the Getting Started with OpenTelemetry (LFS148) Course

To ensure a successful learning experience in the Getting Started with OpenTelemetry (LFS148) course, it is recommended that students have the following minimum prerequisites:


  • Basic understanding of cloud-native concepts and architecture.
  • Familiarity with the principles of observability and monitoring.
  • Basic knowledge of programming concepts, preferably in languages such as Python or Java.
  • Awareness of containerization and orchestration tools (e.g., Docker and Kubernetes) is a plus but not mandatory.

With these foundational skills, learners will be well-prepared to dive into the course content and gain valuable insights into OpenTelemetry.


Getting Started with OpenTelemetry (LFS148)

Target Audience for Getting Started with OpenTelemetry (LFS148)

Getting Started with OpenTelemetry (LFS148) is an introductory course designed for individuals looking to enhance their understanding of observability and distributed systems using OpenTelemetry.


  • Software Developers
  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • Data Engineers
  • System Architects
  • Technical Support Engineers
  • Quality Assurance Engineers
  • Cloud Engineers
  • IT Managers
  • Application Performance Monitoring (APM) Specialists
  • Network Engineers
  • IT Consultants
  • Business Analysts
  • Technical Trainers
  • Students in IT-related fields


Learning Objectives - What you will Learn in this Getting Started with OpenTelemetry (LFS148)?

Introduction

The Getting Started with OpenTelemetry (LFS148) course equips participants with essential skills to effectively implement observability in cloud-native applications using OpenTelemetry, covering foundational concepts and practical application of this powerful telemetry framework.

Learning Objectives and Outcomes

  • Understand the principles of observability and its significance in modern applications.
  • Learn the architecture and components of OpenTelemetry.
  • Configure OpenTelemetry SDKs for various programming languages.
  • Implement tracing to monitor requests in distributed systems.
  • Collect and export metrics from applications.
  • Utilize OpenTelemetry for logging and structured logs.
  • Explore best practices for observability with OpenTelemetry.
  • Analyze telemetry data to troubleshoot application performance issues.
  • Integrate OpenTelemetry with existing observability tools and platforms.
  • Gain hands-on experience through practical exercises and real-world applications.

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