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Observability in Google Cloud
Google Cloud
Google Cloud
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.
Read more
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.
Read more
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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/hi61c2/observability
What's inside
Syllabus
Introduction
Configuring Google Cloud Services for Observability
Monitoring Google Cloud Network
Investigating Application Performance Issues
Read more
Syllabus
Introduction
Configuring Google Cloud Services for Observability
Monitoring Google Cloud Network
Investigating Application Performance Issues
Read more
Optimizing the Costs of Monitoring
Course Summary
Course Resources
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
This course complements well with other courses in the Observability in Google Cloud series
Save this course
Save Observability in Google Cloud to your list so you can find it easily later:
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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 Application Performance Management Concepts
Show steps
Establish a solid knowledge foundation by reviewing the fundamentals of application performance management.
Browse courses on
Application Performance Management
Show steps
-
Revisit concepts related to application performance monitoring, profiling, and error reporting.
Review Networking and Observability Concepts
Show steps
Boost understanding of core networking and observability concepts by contextualizing them before taking the course.
Browse courses on
Networking
Show steps
-
Review basic networking concepts such as IP addressing, subnetting, and routing.
-
Gain familiarity with key observability terminology like metrics, traces, and logs.
Curate a Collection of Resources on Observability Best Practices
Show steps
Build a repository of valuable resources on observability best practices to serve as a reference for future projects.
Browse courses on
Observability
Show steps
-
Gather articles, documentation, and tools related to observability best practices.
-
Organize the resources into a structured collection, such as a blog or wiki.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Cloud Trace and Cloud Profiler Tutorials
Show steps
Solidify understanding of Google Cloud Trace and Cloud Profiler by following guided tutorials and practicing the skills introduced in the course.
Browse courses on
Cloud Trace
Show steps
-
Work through tutorials on setting up and using Google Cloud Trace to collect and analyze traces.
-
Follow a guided tutorial on profiling a sample application using Cloud Profiler and interpreting profiling results.
Analyze Sample Traces and Profiling Data
Show steps
Develop proficiency in analyzing traces and profiling data to identify performance issues and optimize applications.
Browse courses on
Tracing
Show steps
-
Analyze sample traces to identify potential performance bottlenecks and resolve them.
-
Practice interpreting profiling data and recommending optimizations to improve application performance.
Develop an Observability Plan for a Sample Application
Show steps
Synthesize course knowledge into a practical deliverable by designing an observability plan for a sample application.
Browse courses on
Observability
Show steps
-
Identify key metrics, traces, and logs to collect for the sample application.
-
Design a monitoring and alerting strategy to track and respond to performance issues.
-
Create a plan for optimizing the application based on profiling data.
Contribute to Open-Source Observability Tools
Show steps
Deepen understanding of observability tools and techniques by contributing to their development and interacting with the community.
Browse courses on
Observability
Show steps
-
Identify an open-source observability tool to contribute to.
-
Review the codebase and identify potential areas for improvement.
-
Participate in community discussions and bug tracking activities.
-
Submit a bug fix or feature enhancement.
Mentor Junior Developers in Observability
Show steps
Enhance understanding of observability principles and share knowledge by mentoring junior developers.
Browse courses on
Observability
Show steps
-
Identify junior developers who need guidance in observability.
-
Share your expertise and provide hands-on support.
-
Create opportunities for them to practice and troubleshoot real-world challenges.
Review Application Performance Management Concepts
Show steps
Establish a solid knowledge foundation by reviewing the fundamentals of application performance management.
Browse courses on
Application Performance Management
Show steps
Show steps
Show steps
- Revisit concepts related to application performance monitoring, profiling, and error reporting.
Review Networking and Observability Concepts
Show steps
Boost understanding of core networking and observability concepts by contextualizing them before taking the course.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Review basic networking concepts such as IP addressing, subnetting, and routing.
- Gain familiarity with key observability terminology like metrics, traces, and logs.
Curate a Collection of Resources on Observability Best Practices
Show steps
Build a repository of valuable resources on observability best practices to serve as a reference for future projects.
Browse courses on
Observability
Show steps
Show steps
Show steps
- Gather articles, documentation, and tools related to observability best practices.
- Organize the resources into a structured collection, such as a blog or wiki.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Cloud Trace and Cloud Profiler Tutorials
Show steps
Solidify understanding of Google Cloud Trace and Cloud Profiler by following guided tutorials and practicing the skills introduced in the course.
Browse courses on
Cloud Trace
Show steps
Show steps
Show steps
- Work through tutorials on setting up and using Google Cloud Trace to collect and analyze traces.
- Follow a guided tutorial on profiling a sample application using Cloud Profiler and interpreting profiling results.
Analyze Sample Traces and Profiling Data
Show steps
Develop proficiency in analyzing traces and profiling data to identify performance issues and optimize applications.
Browse courses on
Tracing
Show steps
Show steps
Show steps
- Analyze sample traces to identify potential performance bottlenecks and resolve them.
- Practice interpreting profiling data and recommending optimizations to improve application performance.
Develop an Observability Plan for a Sample Application
Show steps
Synthesize course knowledge into a practical deliverable by designing an observability plan for a sample application.
Browse courses on
Observability
Show steps
Show steps
Show steps
- Identify key metrics, traces, and logs to collect for the sample application.
- Design a monitoring and alerting strategy to track and respond to performance issues.
- Create a plan for optimizing the application based on profiling data.
Contribute to Open-Source Observability Tools
Show steps
Deepen understanding of observability tools and techniques by contributing to their development and interacting with the community.
Browse courses on
Observability
Show steps
Show steps
Show steps
- Identify an open-source observability tool to contribute to.
- Review the codebase and identify potential areas for improvement.
- Participate in community discussions and bug tracking activities.
- Submit a bug fix or feature enhancement.
Mentor Junior Developers in Observability
Show steps
Enhance understanding of observability principles and share knowledge by mentoring junior developers.
Browse courses on
Observability
Show steps
Show steps
Show steps
- Identify junior developers who need guidance in observability.
- Share your expertise and provide hands-on support.
- Create opportunities for them to practice and troubleshoot real-world challenges.
Career center
Learners who complete Observability in Google Cloud will develop knowledge and skills
that may be useful to these careers:
Performance Engineer
Performance Engineer
A Performance Engineer focuses on the performance of software applications. This requires a strong understanding of both hardware and software, as well as the ability to analyze data. This course can help those who wish to work as Performance Engineers by providing them with a foundation in performance management tools.
Software Development Engineer in Test
Software Development Engineer in Test
A Software Development Engineer in Test develops and executes test plans for software applications to make sure that they are performing as expected. To do this effectively, the Software Development Engineer in Test must have a background in computer programming and the ability to manage software development. This course, by helping the learner understand how Google implements performance management tools, can help build a foundation for a career as a Software Development Engineer in Test.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for the quality of software applications. This requires good analytical skills, as well as knowledge of the software development process. This course may be useful to someone working as a Quality Assurance Analyst because it can help build a foundation in performance management tools, which are commonly used by Quality Assurance Analysts.
DevOps Engineer
DevOps Engineer
A DevOps Engineer is responsible for the development and operation of software applications. This requires a strong understanding of both software development and operations. This course may be useful to a DevOps Engineer because it can help them to understand how to use performance management tools to improve the performance of software applications.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer is responsible for the reliability of software applications. This requires a strong understanding of both hardware and software, as well as the ability to analyze data. This course may be useful to a Site Reliability Engineer because it can help them to understand how to use performance management tools to improve the reliability of software applications.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This requires a strong understanding of both data analysis and machine learning. This course may be useful to a Data Scientist because it can help them to understand how to use performance management tools to improve the performance of data-driven applications.
Product Manager
Product Manager
A Product Manager is responsible for the development and marketing of software applications. This requires a strong understanding of both business and technology. This course may be useful to a Product Manager because it can help them to understand how to use performance management tools to improve the performance of software applications.
Cloud Architect
Cloud Architect
A Cloud Architect designs and develops cloud-based applications. This requires a strong understanding of both cloud computing and software development. This course may be useful to a Cloud Architect because it can help them to understand how to use performance management tools to improve the performance of cloud-based applications.
Software Architect
Software Architect
A Software Architect designs and develops software applications. This requires a strong understanding of both software development and business processes. This course may be useful to a Software Architect because it can help them to understand how to use performance management tools to improve the performance of software applications.
Database Administrator
Database Administrator
A Database Administrator is responsible for the administration of databases. This requires a strong understanding of both databases and operating systems. This course may be useful to a Database Administrator because it can help them to understand how to use performance management tools to improve the performance of databases.
Computer Programmer
Computer Programmer
A Computer Programmer develops and maintains software applications. This requires a strong understanding of both programming languages and software development. This course may be useful to a Computer Programmer because it can help them to understand how to use performance management tools to improve the performance of software applications.
Network Engineer
Network Engineer
A Network Engineer designs and develops computer networks. This requires a strong understanding of both networking and hardware. This course may be useful to a Network Engineer because it can help them to understand how to use performance management tools to improve the performance of computer networks.
Security Engineer
Security Engineer
A Security Engineer is responsible for the security of software applications. This requires a strong understanding of both security and software development. This course may be useful to a Security Engineer because it can help them to understand how to use performance management tools to improve the security of software applications.
Technical Support Engineer
Technical Support Engineer
A Technical Support Engineer provides technical support to users of software applications. This requires a strong understanding of both software applications and hardware. This course may be useful to a Technical Support Engineer because it can help them to understand how to use performance management tools to troubleshoot software applications.
Systems Administrator
Systems Administrator
A Systems Administrator is responsible for the administration of computer systems. This requires a strong understanding of both hardware and software. This course may be useful to a Systems Administrator because it can help them to understand how to use performance management tools to improve the performance of computer systems.
For more career information including salaries, visit:
OpenCourser.com/course/hi61c2/observability
Reading list
We've selected nine 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.
Provides a practical guide to designing and implementing observability systems. It covers topics such as metrics, logs, traces, and distributed tracing. It valuable resource for developers who want to improve the reliability and performance of their applications.
Provides a comprehensive overview of microservices architecture. It covers topics such as microservice design, communication, and deployment. It valuable resource for developers who want to build and operate microservices-based applications.
Save
Provides a practical guide to building cloud-native Java applications. It covers topics such as Spring Boot, Kubernetes, and cloud services.
Save
Novel about a fictional IT department that is struggling to meet the demands of the business. It provides insights into the challenges of IT operations and the importance of DevOps.
Save
Provides a comprehensive overview of DevOps practices. It covers topics such as continuous integration, continuous delivery, and test-driven development.
Provides a practical guide to using Kubernetes. It covers topics such as cluster management, application deployment, and troubleshooting.
Provides a collection of patterns for building and operating microservices. It covers topics such as service discovery, load balancing, and fault tolerance.
Provides a comprehensive introduction to Google Cloud Big Data and Machine Learning services. It covers topics such as data analytics, machine learning, and artificial intelligence.
Provides a comprehensive study guide for the Google Cloud Certified Professional Data Engineer certification. It covers topics such as data engineering, data pipelines, and cloud computing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hi61c2/observability
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