Measuring Performance - Level 1

AVG Duration1h


In the field of IT operations, Service Level Indicators (SLIs) and Service Level Objectives (SLOs) are important tools for measuring and managing system uptime. SLIs are metrics that are used to assess the performance and availability of a system or service, while SLOs are targets that are set for these metrics in order to ensure that the system or service meets the desired level of quality.

In this learning objective, we will explore the concept of SLIs and SLOs in more detail. We will discuss the different types of SLIs that are commonly used in IT operations, and how they are used to measure system uptime. We will also look at how SLOs and error budgets are used to establish and track the desired levels of performance and availability for a system or service.

By the end of this learning objective, you will have a solid understanding of the role of SLIs, SLOs, and error budgets in managing system uptime, and you will be able to define and establish appropriate SLIs for your own systems and services.

This learning path teaches Measuring Performance to a Level 1 standard. 

Learning Objectives

  • Understand SLIs (Service Level Indicators) and how they relate to system uptime
  • Be able to define and establish appropriate SLIs
  • Understand SLOs (Service Level Objectives) and Error Budgets and how they relate to system uptime
  • Understand and establish appropriate SLOs


Your certificate for this learning path

Training Content

Course - Beginner - 22m
SRE Monitoring & Service Level Indicators
This course looks at monitoring and service level indicators within the context of site reliability engineering.
Course - Intermediate - 13m
SRE Service Level Objectives and Error Budgets
This course covers service level objectives and error budgets in site reliability engineering.
About the Author
Learning paths180

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).