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Observability in Google Cloud

Google Cloud Training

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.

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What's inside

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
Read more
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 of Monitoring
In our final module we discuss optimizing the costs for Google Cloud’s operations suite. 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.
Course Summary
We will summarize the topics covered in this couse.
Course Resources
Student PDF links to all modules

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Google Cloud Training, a recognized authority on the topic
Provides a deep dive into Error Reporting, Cloud Trace, and Cloud Profiler, which are specialized tools for application performance management
Suitable for learners with a basic understanding of Google Cloud and application performance concepts
Covers advanced topics such as monitoring Google Cloud network and optimizing costs of monitoring, making it suitable for experienced application performance engineers
Part of a two-part course, requires completion of Part 1: Introduction to Observability in Google Cloud

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Observability in Google Cloud with these activities:
Review software development principles
Refresh your understanding of software development principles to strengthen your foundation for building and maintaining cloud applications discussed in the course.
Browse courses on Software Development
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  • Review books or articles on software development principles
Review cloud computing concepts
Refresh your knowledge of cloud computing concepts to gain a solid foundation for understanding the course material on Google Cloud Platform services and architecture.
Browse courses on Cloud Computing
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  • Review books or articles on cloud computing concepts
Attend a Google Cloud Platform meetup
Engage with the Google Cloud Platform community by attending a meetup, which will provide opportunities to learn from experts, share experiences, and expand your network.
Browse courses on Google Cloud Platform
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  • Find a local Google Cloud Platform meetup
  • Attend the meetup and participate in discussions
Four other activities
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Compile a list of resources on Google Cloud Platform monitoring
Gather and organize resources on Google Cloud Platform monitoring to create a handy reference for future use, which will enhance your understanding and ability to apply monitoring practices.
Show steps
  • Find resources on Google Cloud Platform monitoring
  • Compile the resources into a list
Create a simple application with Google Cloud Platform
Create a simple cloud application to gain hands-on experience with Google Cloud Platform services, which will solidify your understanding of the course concepts.
Browse courses on Google Cloud Services
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  • Choose a simple application idea
  • Design the application architecture
  • Set up Google Cloud Platform and create necessary services
  • Implement the application logic
  • Deploy the application
Walkthrough: Monitoring an application on Google Cloud Platform
Follow a guided tutorial to set up monitoring for an application on Google Cloud Platform, which will reinforce the concepts of monitoring and observability discussed in the course.
Show steps
  • Find the walkthrough document
  • Follow the steps to set up monitoring
Analyze Error Reporting data
Practice analyzing Error Reporting data to identify and debug errors in a cloud application, which will enhance your ability to troubleshoot and resolve application issues.
Browse courses on Error Reporting
Show steps
  • Find sample Error Reporting data
  • Analyze the error stack traces
  • Identify the root cause of the errors

Career center

Learners who complete Observability in Google Cloud will develop knowledge and skills that may be useful to these careers:
Cloud Monitoring Engineer
A Cloud Monitoring Engineer is responsible for the implementation, management, and maintenance of cloud monitoring systems. This role requires a strong understanding of cloud computing concepts, as well as proficiency in monitoring tools and technologies. The Observability in Google Cloud course provides a comprehensive overview of Google Cloud's monitoring tools, including Error Reporting, Cloud Trace, and Cloud Profiler. This course will help you develop the skills and knowledge necessary to succeed as a Cloud Monitoring Engineer.
Site Reliability Engineer
A Site Reliability Engineer (SRE) is responsible for the reliability, performance, and availability of software systems. This role requires a deep understanding of system administration, software engineering, and performance optimization. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by SREs to monitor and troubleshoot complex systems. This course will help you develop the skills and knowledge necessary to succeed as an SRE.
Cloud Architect
A Cloud Architect is responsible for designing, building, and maintaining cloud-based solutions. This role requires a deep understanding of cloud computing concepts, as well as experience in designing and implementing scalable, reliable, and secure systems. The Observability in Google Cloud course provides a comprehensive overview of Google Cloud's monitoring tools, as well as best practices for designing and implementing cloud-based solutions. This course will help you develop the skills and knowledge necessary to succeed as a Cloud Architect.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This role requires a strong understanding of data engineering concepts, as well as experience in working with big data tools and technologies. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Data Engineers to monitor and troubleshoot data pipelines. This course will help you develop the skills and knowledge necessary to succeed as a Data Engineer.
DevOps Engineer
A DevOps Engineer is responsible for the implementation and management of DevOps practices in an organization. This role requires a deep understanding of software development, as well as experience in working with cloud computing tools and technologies. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by DevOps Engineers to monitor and troubleshoot software systems. This course will help you develop the skills and knowledge necessary to succeed as a DevOps Engineer.
Performance Engineer
A Performance Engineer is responsible for measuring, analyzing, and improving the performance of software systems. This role requires a deep understanding of performance engineering concepts, as well as experience in working with profiling tools and techniques. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Performance Engineers to monitor and troubleshoot software systems. This course will help you develop the skills and knowledge necessary to succeed as a Performance Engineer.
Security Engineer
A Security Engineer is responsible for the security of software systems. This role requires a deep understanding of security concepts, as well as experience in working with security tools and technologies. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Security Engineers to monitor and troubleshoot security breaches. This course will help you develop the skills and knowledge necessary to succeed as a Security Engineer.
Network Engineer
A Network Engineer is responsible for the design, implementation, and maintenance of computer networks. This role requires a deep understanding of networking concepts, as well as experience in working with networking tools and technologies. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Network Engineers to monitor and troubleshoot network issues. This course will help you develop the skills and knowledge necessary to succeed as a Network Engineer.
Systems Administrator
A Systems Administrator is responsible for the maintenance and support of computer systems. This role requires a deep understanding of system administration concepts, as well as experience in working with operating systems, software, and hardware. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Systems Administrators to monitor and troubleshoot system issues. This course will help you develop the skills and knowledge necessary to succeed as a Systems Administrator.
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data. This role requires a strong understanding of data analysis concepts, as well as experience in working with data analysis tools and techniques. The Observability in Google Cloud course provides a strong foundation in the tools and techniques used by Data Analysts to monitor and troubleshoot data quality issues. This course will help you develop the skills and knowledge necessary to succeed as a Data Analyst.
Technical Writer
A Technical Writer is responsible for creating and maintaining technical documentation. This role requires a strong understanding of technical writing concepts, as well as experience in working with technical writing tools and technologies. The Observability in Google Cloud course may be useful for Technical Writers who are interested in learning more about how to use data to improve the quality of technical documentation. This course will provide you with a foundation in the tools and techniques used to monitor and troubleshoot technical documentation issues.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This role requires a strong understanding of business analysis concepts, as well as experience in working with business analysis tools and techniques. The Observability in Google Cloud course may be useful for Business Analysts who are interested in learning more about how to use data to improve business outcomes. This course will provide you with a foundation in the tools and techniques used to monitor and troubleshoot business processes.
Product Manager
A Product Manager is responsible for the development and launch of new products. This role requires a strong understanding of product management concepts, as well as experience in working with product development teams. The Observability in Google Cloud course may be useful for Product Managers who are interested in learning more about how to use data to improve product quality. This course will provide you with a foundation in the tools and techniques used to monitor and troubleshoot product issues.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This role requires a strong understanding of project management concepts, as well as experience in working with project management tools and techniques. The Observability in Google Cloud course may be useful for Project Managers who are interested in learning more about how to use data to improve project outcomes. This course will provide you with a foundation in the tools and techniques used to monitor and troubleshoot project issues.
Software Developer
A Software Developer is responsible for the design, development, and testing of software. This role requires a strong understanding of software development concepts, as well as experience in working with software development tools and technologies. The Observability in Google Cloud course may be useful for Software Developers who are interested in learning more about how to use data to improve software quality. This course will provide you with a foundation in the tools and techniques used to monitor and troubleshoot software issues.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Observability in Google Cloud.
Is essential reading on how to build and operate reliable, scalable, and efficient systems in production.
Provides a comprehensive overview of observability engineering practices and techniques, including error reporting, tracing, logging, and monitoring.
Provides a comprehensive overview of performance engineering principles and practices, including performance testing, profiling, and optimization.
Provides a practical guide to designing and building data-intensive applications, including considerations for performance, scalability, and reliability.
Provides a comprehensive handbook on designing data-intensive applications. It covers topics such as data modeling, data storage, and data processing.
Provides a comprehensive overview of cloud computing. It covers topics such as cloud architectures, cloud services, and cloud security.
Provides a fictionalized account of a DevOps transformation, providing insights into the challenges and benefits of implementing DevOps practices.
Provides a practical guide to implementing test-driven development practices, including topics like test design, test automation, and refactoring.
Provides a practical guide to implementing agile principles and practices in C#, including topics like test-driven development, design patterns, and refactoring.

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