learning path

Implementing Observability - Level 3

Advanced
3h 30m
53
5/5
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Observability is a critical concept in the field of IT operations. It refers to the ability to monitor and understand the behavior and performance of complex systems and services in real time. Centralized logging and aggregation are key components of an observability strategy, as they provide a centralized, real-time view of the state and behavior of a system.

In this learning objective, you'll explore the concept of observability in more detail and get hands-on experience with implementing observability in a real-world system. We will begin by looking at the different components and systems that need to be monitored, and how to identify the most important ones. You'll then learn how to set up and configure centralized logging and aggregation, and be shown how this can be used to provide a real-time view of the state and behavior of a system.

By the end of this learning objective, you will have a solid understanding of the concept of observability, and you will be able to implement observability in your own systems and services. You will be able to set up and configure centralized logging and aggregation, and use this to monitor and understand the behavior and performance of your systems in real time.

The content in this learning path will teach you Implementing Observability to a level 3 standard. 

Learning Objectives

  • Be able to instrument applications to provide useful monitoring information and statistics
  • Understand how to analyze and aggregate monitoring data to provide system performance reports
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About the Author
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Jeremy Cook
Content Lead Architect
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Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

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