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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. The Cloud Operations Sandbox is intended to make it easy for you to deploy and run a non-trivial application that lets you explore the Google Cloud Platform services, particularly the...
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This is a self-paced lab that takes place in the Google Cloud console. The Cloud Operations Sandbox is intended to make it easy for you to deploy and run a non-trivial application that lets you explore the Google Cloud Platform services, particularly the Cloud Operations (formerly Stackdriver) product suite.
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Geared toward those who are looking to hone their Google Cloud Platform skills, particularly in the Cloud Operations suite
Provides a hands-on learning experience in the Google Cloud console, making it practical for learners

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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 Troubleshooting Workloads on GKE for Site Reliability Engineers with these activities:
Review Course Materials in Advance
Prepares you for the course by refreshing your knowledge of the foundational concepts that will be covered.
Show steps
  • Review the course syllabus and identify key topics
  • Go through course materials such as readings and videos
Review Intro to GCP
Refreshes your understanding of foundational GCP concepts, ensuring a stronger knowledge base for this course.
Browse courses on GCP
Show steps
  • Review official GCP documentation
  • Complete Google Cloud Skills Boost Tutorial
Practice with Cloud Shell
Provides hands-on practice with Cloud Shell, enhancing your comfort and efficiency in using the platform.
Browse courses on Cloud Shell
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  • Open a Cloud Shell session
  • Navigate the Cloud Shell interface
  • Run basic commands in the terminal
Five other activities
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Join a Study Group or Forum
Facilitates peer learning and collaboration, deepening your understanding through discussions and group activities.
Show steps
  • Join a study group or online forum related to Cloud Operations
  • Actively participate in discussions and ask questions
  • Share your knowledge and insights with other members
Deploy a Sample Application
Reinforces your understanding of deployment concepts and provides practical experience in deploying an application on GCP.
Browse courses on Deployment
Show steps
  • Choose a sample application from the Google Cloud Samples Repo
  • Deploy the application to your GCP project
  • Test the deployed application
Gather Best Practices for Cloud Operations
Strengthens your knowledge base by compiling best practices and resources for Cloud Operations, improving your ability to monitor and manage your GCP environment effectively.
Browse courses on Best Practices
Show steps
  • Research and collect best practices from official documentation and industry articles
  • Organize and document the gathered information
  • Share your compilation with peers and instructors for feedback
Attend GCP Community Meetups
Connects you with other GCP users and industry experts, fostering knowledge exchange and networking opportunities.
Show steps
  • Find local GCP meetups using Meetup.com or Google Events
  • Attend meetups regularly
  • Participate in discussions and ask questions
Participate in GCP Challenges
Tests your skills and knowledge in a competitive environment, encouraging you to push your limits and gain recognition.
Show steps
  • Find GCP challenges or hackathons
  • Form a team or participate individually
  • Develop and implement solutions

Career center

Learners who complete Troubleshooting Workloads on GKE for Site Reliability Engineers will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
Troubleshooting Workloads on GKE for Site Reliability Engineers is a course just for you! You'll learn how to make your workload on Google Kubernetes Engine (GKE) as reliable and efficient as possible. You'll cover topics like debugging, monitoring, logging, and scaling. With this knowledge, you'll be able to keep your applications running smoothly and avoid downtime. This course is perfect for SREs who want to get the most out of GKE. It will help you to build a strong foundation in GKE troubleshooting and management.
Cloud Engineer
As a Cloud Engineer, you'll be responsible for designing, building, and managing cloud-based applications and infrastructure. You'll need to have a strong understanding of cloud computing concepts, as well as experience with cloud platforms like Google Cloud Platform (GCP). Troubleshooting Workloads on GKE for Site Reliability Engineers can help you to build a strong foundation in GCP and GKE. It will teach you how to troubleshoot and manage GKE workloads, which is a valuable skill for any Cloud Engineer.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to ensure that applications are deployed and managed efficiently and reliably. Troubleshooting Workloads on GKE for Site Reliability Engineers can help you to build a strong foundation in DevOps practices. It will teach you how to troubleshoot and manage GKE workloads, which is a valuable skill for any DevOps Engineer.
Systems Administrator
Systems Administrators are responsible for maintaining and managing computer systems and networks. They need to have a strong understanding of operating systems, networking, and security. Troubleshooting Workloads on GKE for Site Reliability Engineers can help you to build a strong foundation in systems administration. It will teach you how to troubleshoot and manage GKE workloads, which is a valuable skill for any Systems Administrator.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They need to have a strong understanding of programming languages, software development methodologies, and software testing. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Software Engineers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Network Engineer
Network Engineers are responsible for designing, building, and maintaining computer networks. They need to have a strong understanding of networking protocols, network security, and network management. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Network Engineers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Security Engineer
Security Engineers are responsible for protecting computer systems and networks from security threats. They need to have a strong understanding of security principles, security technologies, and security best practices. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Security Engineers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They need to have a strong understanding of data management, data processing, and data analysis. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Data Engineers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Data Scientist
Data Scientists are responsible for using data to solve business problems. They need to have a strong understanding of statistics, machine learning, and data visualization. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Data Scientists who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and maintaining machine learning models. They need to have a strong understanding of machine learning algorithms, machine learning frameworks, and machine learning best practices. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Machine Learning Engineers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Cloud Architect
Cloud Architects are responsible for designing and implementing cloud-based solutions. They need to have a strong understanding of cloud computing concepts, cloud platforms, and cloud security. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Cloud Architects who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Technical Writer
Technical Writers are responsible for creating technical documentation, such as user manuals, white papers, and training materials. They need to have a strong understanding of technical concepts and be able to write clear and concise documentation. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Technical Writers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Product Manager
Product Managers are responsible for managing the development and launch of new products. They need to have a strong understanding of product development, product marketing, and customer needs. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Product Managers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They need to have a strong understanding of project management methodologies, project planning, and risk management. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Project Managers who want to learn more about GKE and how to troubleshoot and manage GKE workloads.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They need to have a strong understanding of business analysis techniques, business process modeling, and data analysis. Troubleshooting Workloads on GKE for Site Reliability Engineers may be useful for Business Analysts who want to learn more about GKE and how to troubleshoot and manage GKE workloads.

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 Troubleshooting Workloads on GKE for Site Reliability Engineers.
The SRE Handbook is the definitive guide to Site Reliability Engineering (SRE), a discipline that emerged from Google's efforts to improve the reliability and efficiency of its large-scale computing infrastructure. The handbook provides a comprehensive overview of SRE principles and practices, covering everything from service-level objectives (SLOs) to monitoring, logging, and incident response.
Provides a comprehensive guide to Kubernetes, the open-source container orchestration system. It covers topics such as cluster architecture, pod management, and service discovery.
The DevOps Handbook is an essential guide for anyone who wants to improve the efficiency and reliability of their software development and operations processes. The book provides a practical framework for adopting DevOps principles and practices, and it includes case studies from leading organizations that have successfully implemented DevOps.
Tells the story of a fictional IT team that implements DevOps practices to save their company from disaster. It provides a compelling introduction to the benefits of DevOps.
Provides a comprehensive guide to developing Java applications for cloud-native environments. It covers topics such as microservices, containers, and serverless computing.
Provides a glimpse into the software engineering practices used at Google. It covers topics such as code reviews, testing, and performance optimization.
Provides a comprehensive guide to incident management for IT organizations. It covers topics such as incident response, escalation, and post-incident analysis.
Provides a practical guide to securing cloud-native applications. The book covers everything from threat modeling to security best practices.
Provides a collection of patterns for designing and implementing cloud-native applications. It covers topics such as microservices, containers, and serverless computing.

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