Observability in Google Cloud

Overview

Welcome to the second part of the two part course, Observability in Google Cloud. This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

Syllabus

Introduction

Welcome to Observability in Google Cloud! We will cover the pre-requisites, audience and the course objectives.

Configuring Google Cloud Services for Observability

In this module, we will take some time to examine the art of configuring Google Cloud services for observability.

Monitoring Google Cloud Network

Monitoring is all about keeping track of exactly what's happening with the resources we've spun up inside of Google's Cloud. In this module, we'll take a look at options and best practices as they relate to monitoring project architectures. We'll differentiate the core Cloud IAM roles needed to decide who can do what as it relates to monitoring. Just like architecture, this is another crucial early step. We will examine some of the Google created default dashboards, and see how to use them appropriately. We will create charts and use them to build custom dashboards to show resource consumption and application load. And, finally, we will define uptime checks to track liveliness and latency.

Investigating Application Performance Issues

When deploying applications to Google Cloud, the Application Performance Management products provide a suite of tools to give insight into how your code and services are functioning, and to help troubleshoot where needed.

Optimizing the Costs for Google Cloud Observability

In our final module we discuss optimizing the costs for Google Cloud Observability. Specifically, you will learn to analyze resource utilization costs for operations related components within Google Cloud, and implement best practices for controlling the cost of operations within Google Cloud.