Measuring Performance - Level 3

AVG Duration3h


While there are many indicators of cloud performance exposed across operational dashboards, Service Level Agreements are a core method to setting expectations for uptime and performance across a portfolio of cloud-native applications. The need to understand how to baseline such agreements and level-set goals for system performance and uptime across the organizations is key to success in implementing realistic availability levels.

This learning path teaches Measuring Performance to a level 3 standard. 

Learning Objectives

  • Be able to measure performance of cloud hosted applications and services


Your certificate for this learning path

Training Content

Course - Intermediate - 16m
An Overview of Amazon CloudWatch
This course takes a high-level look at Amazon CloudWatch and some of its features and components.
Hands-on Lab - Beginner - 1h 30m
Introduction to CloudWatch
CloudWatch is a monitoring service that AWS provides. You can use it to monitor AWS resources or custom resources, inside or outside AWS.
Hands-on Lab - Beginner - 1h 30m
Monitoring Resources with Azure Monitor
Learn to leverage Azure Monitor to diagnose application and infrastructure with logs, query logs with Azure log queries, and leverage alerts and action groups
Hands-on Lab - Intermediate - 1h
Monitor Compute Engine Resources Through Cloud Monitoring
In this lab, you will understand the best practices to monitor a compute engine instance by viewing the usage, creating alert policies and creating a chart.
Hands-on Lab - Intermediate - 40m
Find Application Performance Bottlenecks With Google Cloud Trace
Learn how Google Cloud Trace helps you analyze the latency of application code in near real-time in this hands-on lab.
About the Author
Learning paths179

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).