Pluralsightbeginneren

SRE: Monitoring and Observability

Improve system reliability! Learn monitoring, alerting, SLIs & AIOps. Automate observability for enhanced performance.

2h 17m
Certificate
Elton Stoneman
Elton StonemanInstructor

Course Content

SRE: Monitoring and Observability is a beginner-level Pluralsight course taught by Elton Stoneman. It runs 2h 17m, is taught in English, and includes a certificate of completion. It is a paid course, first published June 2025.

Monitoring and observability are essential for Site Reliability Engineering (SRE) teams to effectively manage systems and ensure high availability. By collecting and analyzing data about application behavior, SREs can proactively identify and resolve issues swiftly.

In this course, SRE: Monitoring and Observability, you'll gain a comprehensive understanding of the observability stack and the critical processes it enables. You'll follow an SRE team through the process of onboarding a new system, learning how to implement robust monitoring from the ground up.

Here's what you'll explore:

  • Data Exposing for Monitoring: Discover the types of data applications need to expose to effectively feed into monitoring systems. Understand what metrics and logs are crucial for comprehensive system visibility.
  • Service Level Indicators (SLIs): Learn how to define and measure application performance using Service Level Indicators. Gain practical skills in setting performance targets and tracking progress.
  • Alerting and Automated Responses: Explore the principles of effective alerting and how to implement automated responses to common issues, minimizing downtime and maximizing system stability.
  • AIOps Tools: Get an introduction to emerging tools in the Artificial Intelligence for IT Operations (AIOps) space and how they can enhance monitoring and observability efforts.

Upon completion of this course, you will be equipped to:

  • Define and implement an observability stack tailored to your specific needs.
  • Leverage monitoring and observability to drive significant improvements in system reliability and performance.
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