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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

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What's inside

Syllabus

Distributed Load Testing Using Kubernetes

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Utilizes Kubernetes, industry-standard software for distributed systems
Offers hands-on experience with load testing, a critical skill for system performance
Taught by Google Cloud Training, recognized for expertise in cloud computing
Suitable for learners with a foundational understanding of Kubernetes and distributed systems

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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 Distributed Load Testing Using Kubernetes with these activities:
Review Kubernetes Load Testing Concepts
Refresh foundational knowledge in Kubernetes and load testing before the course begins to ensure a solid understanding.
Browse courses on Kubernetes
Show steps
  • Review Kubernetes deployment and service concepts.
  • Revisit load testing techniques and metrics.
  • Go over best practices for Kubernetes load testing.
Study Group for Load Testing
Improve comprehension and retain information by collaborating with peers in a study group focused on load testing.
Browse courses on Load Testing
Show steps
  • Organize a study group with other students.
  • Review course materials together.
  • Discuss concepts and share insights.
  • Work on practice problems or projects together.
Kubernetes distributed load testing with locust
Helps you practice loading Kubernetes to the limit.
Show steps
  • Run locust distributed across multiple machines
  • Create a Kubernetes cluster for locust to load test
  • Create locust tasks to distribute across the cluster
  • Analyze locust results to find bottlenecks
Four other activities
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Kubernetes load testing
Helps you explore different ways to load test Kubernetes.
Show steps
  • Follow a locust tutorial to load test and analyze a Kubernetes cluster
  • Learn about utilizing the k6 tool for Kubernetes load testing
Kubernetes Distributed Load Testing Practice Drills
Reinforce distributed load testing concepts in Kubernetes by performing repetitive exercises.
Browse courses on Kubernetes
Show steps
  • Set up a Kubernetes environment.
  • Create a sample web application and Docker image.
  • Deploy the application to Kubernetes using pods and services.
  • Generate load using load testing tools.
  • Monitor and analyze the test results.
Load Testing Practice Problems
Test and enhance load testing skills by solving practice problems and exercises.
Browse courses on Load Testing
Show steps
  • Analyze load testing scenarios.
  • Design and execute load tests.
  • Interpret and evaluate load test results.
  • Identify and address performance bottlenecks.
Kubernetes load testing simulation
Helps you apply and experiment with load testing techniques on Kubernetes.
Show steps
  • Design a load test scenario for a Kubernetes application
  • Develop a load test using a tool like locust or k6
  • Execute the load test and analyze the results
  • Create a report documenting the load test results
  • Identify and address any performance bottlenecks discovered during the load test

Career center

Learners who complete Distributed Load Testing Using Kubernetes will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
A Site Reliability Engineer (SRE) is responsible for ensuring that a company's website and other online services are always up and running. This role requires a strong understanding of distributed systems, load balancing, and performance testing. The Distributed Load Testing Using Kubernetes course can help SREs learn how to use Kubernetes to conduct distributed load testing, which can help them identify and fix performance bottlenecks in their systems. In addition, this course will help SREs learn how to improve the scalability and reliability of their Kubernetes deployments.
Performance Engineer
A Performance Engineer is responsible for optimizing the performance of a company's software applications. This role requires a strong understanding of software performance testing, load testing, and performance analysis. The Distributed Load Testing Using Kubernetes course can help Performance Engineers learn how to use Kubernetes to conduct distributed load testing, which can help them identify and fix performance bottlenecks in their applications. In addition, this course will help Performance Engineers learn how to improve the scalability and reliability of their Kubernetes deployments.
Cloud Engineer
A Cloud Engineer is responsible for designing, deploying, and managing cloud-based applications and infrastructure. This role requires a strong understanding of cloud computing platforms, such as Kubernetes and Google Cloud. The Distributed Load Testing Using Kubernetes course can help Cloud Engineers learn how to use Kubernetes to conduct distributed load testing, which can help them ensure that their cloud-based applications are scalable and reliable. In addition, this course will help Cloud Engineers learn how to improve the performance and efficiency of their Kubernetes deployments.
DevOps Engineer
A DevOps Engineer is responsible for bridging the gap between development and operations teams. This role requires a strong understanding of both software development and IT operations. The Distributed Load Testing Using Kubernetes course can help DevOps Engineers learn how to use Kubernetes to conduct distributed load testing, which can help them identify and fix performance bottlenecks in their applications. In addition, this course will help DevOps Engineers learn how to improve the scalability and reliability of their Kubernetes deployments.
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. This role requires a strong understanding of software engineering principles and practices. The Distributed Load Testing Using Kubernetes course can help Software Engineers learn how to use Kubernetes to conduct distributed load testing, which can help them ensure that their software applications are scalable and reliable. In addition, this course will help Software Engineers learn how to improve the performance and efficiency of their Kubernetes deployments.
Systems Administrator
A Systems Administrator is responsible for managing and maintaining computer systems. This role requires a strong understanding of operating systems, networking, and system administration tools. The Distributed Load Testing Using Kubernetes course can help Systems Administrators learn how to use Kubernetes to conduct distributed load testing, which can help them identify and fix performance bottlenecks in their systems. In addition, this course will help Systems Administrators learn how to improve the scalability and reliability of their Kubernetes deployments.
Network Engineer
A Network Engineer is responsible for designing, deploying, and managing computer networks. This role requires a strong understanding of networking protocols, network security, and network management tools. The Distributed Load Testing Using Kubernetes course can help Network Engineers learn how to use Kubernetes to conduct distributed load testing, which can help them identify and fix performance bottlenecks in their networks. In addition, this course will help Network Engineers learn how to improve the scalability and reliability of their Kubernetes deployments.
Security Engineer
A Security Engineer is responsible for protecting computer systems and networks from security threats. This role requires a strong understanding of security principles and practices. The Distributed Load Testing Using Kubernetes course can be particularly useful for security engineers who need to understand how to improve the security of their Kubernetes deployments. In addition, this course may also be useful for security engineers who are responsible for testing the security of cloud-based applications.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This role requires a strong understanding of database systems and administration tools. The Distributed Load Testing Using Kubernetes course can be useful for database administrators who need to understand how to improve the performance of their databases. In addition, this course may also be useful for database administrators who are responsible for testing the performance of cloud-based database applications.
Cloud Architect
A Cloud Architect is responsible for designing and implementing cloud-based solutions. This role requires a strong understanding of cloud computing platforms and technologies. The Distributed Load Testing Using Kubernetes course can be useful for cloud architects who need to understand how to improve the performance and reliability of their cloud-based solutions. In addition, this course may also be useful for cloud architects who are responsible for testing the performance of cloud-based applications.
IT Manager
An IT Manager is responsible for managing and overseeing an organization's IT infrastructure and operations. This role requires a strong understanding of IT management principles and practices. The Distributed Load Testing Using Kubernetes course can be useful for IT managers who need to understand how to improve the performance and reliability of their IT infrastructure. In addition, this course may also be useful for IT managers who are responsible for testing the performance of cloud-based applications.
Technical Lead
A Technical Lead is responsible for leading and managing a team of technical professionals. This role requires a strong understanding of technical and management principles and practices. The Distributed Load Testing Using Kubernetes course can be useful for technical leads who need to understand how to improve the performance and reliability of their team's projects. In addition, this course may also be useful for technical leads who are responsible for testing the performance of cloud-based applications.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This role requires a strong understanding of data engineering principles and practices. The Distributed Load Testing Using Kubernetes course can be useful for data engineers who need to understand how to improve the performance of their data pipelines. In addition, this course may also be useful for data engineers who are responsible for testing the performance of cloud-based data applications.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This role requires a strong understanding of project management principles and practices. The Distributed Load Testing Using Kubernetes course may be useful for project managers who need to understand how to improve the performance and reliability of their projects. In addition, this course may also be useful for project managers who are responsible for testing the performance of cloud-based applications.
Business Analyst
A Business Analyst is responsible for analyzing and understanding the business needs of an organization. This role requires a strong understanding of business analysis principles and practices. The Distributed Load Testing Using Kubernetes course may be useful for business analysts who need to understand how to improve the performance and reliability of their organization's IT systems. In addition, this course may also be useful for business analysts who are responsible for testing the performance of cloud-based applications.

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 Distributed Load Testing Using Kubernetes.
Provides a comprehensive understanding of Kubernetes fundamentals, including deployment strategies and service management, which are essential for distributed load testing.
Provides a comprehensive overview of Kubernetes, covering topics such as cluster architecture, deployment strategies, and service management. It valuable resource for anyone looking to gain a deeper understanding of Kubernetes.
Provides a collection of patterns for building microservices, covering topics such as service discovery, fault tolerance, and load balancing. It valuable resource for anyone looking to learn more about microservices and how to use them in their own applications.
Provides a practical guide to building microservices, covering topics such as service design, deployment, and monitoring. It valuable resource for anyone looking to learn more about microservices and how to use them in their own applications.
Provides a practical guide to using Docker for building and deploying containerized applications. It covers topics such as container management, image creation, and networking, making it a valuable resource for anyone looking to get started with Docker.
Provides a theoretical foundation for performance evaluation, which is essential for understanding and interpreting load testing results.
While somewhat dated, this book offers a comprehensive overview of performance testing principles and practices, including distributed load testing strategies.
While not directly focused on load testing, this book provides valuable insights into DevOps practices that are essential for successful distributed load testing.
Provides a foundation for test-driven development, which valuable approach for ensuring the quality and reliability of load testing scripts.

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