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Understanding and Combining GKE Autoscaling Strategies

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.

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Syllabus

Understanding and Combining GKE Autoscaling Strategies

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores core concepts of Google Kubernetes Engine autoscaling strategies, industry standard tools

Taught by Google Cloud Training, provides access to industry best practices and expertise

Develops practical skills in autoscaling Kubernetes deployments, immediately applicable

Self-paced lab enables hands-on exploration and experimentation

Covers a comprehensive range of autoscaling strategies, catering to diverse use cases

May require learners to come in with some prior understanding of Kubernetes and autoscaling

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Activities

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Career center

Learners who complete Understanding and Combining GKE Autoscaling Strategies will develop knowledge and skills that may be useful to these careers:

Kubernetes Administrator

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Kubernetes Administrators need to have a strong understanding of how to manage Kubernetes clusters. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your clusters are always running at the optimal scale.

See salaries and explore the career path for Kubernetes Administrator

Cloud Computing Architect

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course teaches you the basics of Google Kubernetes Engine (GKE) autoscaling strategies. As a Cloud Computing Architect, you'll need to understand how to scale your applications to meet demand. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to scale your GKE clusters. This course will help you build a foundation in GKE autoscaling strategies that will help you succeed as a Cloud Computing Architect.

See salaries and explore the career path for Cloud Computing Architect

DevSecOps Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. DevSecOps Engineers need to have a strong understanding of how to build and deploy secure applications. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale and are secure.

See salaries and explore the career path for DevSecOps Engineer

Site Reliability Engineer (SRE)

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Site Reliability Engineers (SREs) need to have a strong understanding of how to maintain the reliability of production systems. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale and are highly available.

See salaries and explore the career path for Site Reliability Engineer (SRE)

Cloud Security Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Cloud Security Engineers need to have a strong understanding of how to build and deploy secure applications. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale and are secure.

See salaries and explore the career path for Cloud Security Engineer

Cloud Developer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Cloud Developers need to have a strong understanding of how to build and deploy cloud-native applications. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Cloud Developer

Platform Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Platform Engineers need to have a strong understanding of how to build and manage cloud platforms. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Platform Engineer

Full-Stack Developer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Full Stack Developers need to have a strong understanding of how to build and deploy full stack applications. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Full-Stack Developer

Technical Architect

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Technical Architects need to have a strong understanding of how to design and implement technical solutions. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Technical Architect

DevOps Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. In this course, you will explore the benefits of different autoscaling strategies for pod-level scaling and node-level scaling. DevOps Engineers need to have a strong understanding of how to scale applications. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. You'll learn how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for DevOps Engineer

Cloud Solutions Architect

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Cloud Solutions Architects need to have a strong understanding of how to design and implement cloud solutions. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Cloud Solutions Architect

Cloud Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Cloud Engineers need to have a strong understanding of how to build and manage cloud infrastructure. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Cloud Engineer

Systems Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Systems Engineers need to have a strong understanding of how to design and implement systems. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Systems Engineer

Web Developer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Web Developers need to have a strong understanding of how to build and deploy web applications. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Web Developer

Software Engineer

Understanding and Combining GKE Autoscaling Strategies is a self-paced lab in the Google Cloud console. This course will teach you how to use Google Kubernetes Engine (GKE) to scale your applications automatically. Software Engineers need to have a strong understanding of how to design and implement software systems. This course will teach you how to use Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Cluster Autoscaler, and Node Auto Provisioning to ensure that your applications are always running at the optimal scale.

See salaries and explore the career path for Software Engineer

Reading list

We've selected seven 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 Understanding and Combining GKE Autoscaling Strategies.

Site Reliability Engineering

Save

Introduces the principles and practices of Site Reliability Engineering (SRE), a discipline that focuses on ensuring the reliability and performance of large-scale distributed systems. It valuable resource for anyone looking to implement SRE practices in their organization.

Site Reliability Engineering: How Google Runs...

Kindle Edition

Docker Deep Dive

Save

Provides a practical guide to using Kubernetes, covering the core concepts, installation, configuration, and troubleshooting. It valuable resource for anyone looking to get started with Kubernetes or to deepen their understanding of the platform.

Kubernetes Operators

Save

Provides a comprehensive guide to using Kubernetes Operators, a powerful tool for managing and automating complex Kubernetes applications. It valuable resource for anyone looking to use Operators to improve the reliability and efficiency of their Kubernetes deployments.

Kubernetes Operators: Automating the Container...

Paperback

Kubernetes Operators: Automating the Container...

Kindle Edition

Kubernetes: Up and Running

Save

Provides a collection of best practices for using Kubernetes, covering a wide range of topics from security to performance. It valuable resource for anyone looking to improve the reliability and efficiency of their Kubernetes deployments.

Kubernetes: Up and Running: Dive into the Future of...

Paperback

Kubernetes: Up and Running

Kindle Edition

Microservices Patterns

Save

Provides a collection of patterns for designing and implementing microservices, a set of architectural principles for building and deploying complex applications as a collection of small, independent services. It valuable resource for anyone looking to build scalable, reliable, and maintainable microservices.

Microservices Patterns: With examples in Java

Paperback

Microservices Patterns: With examples in Java

Kindle Edition

The DevOps Handbook

Save

Provides a comprehensive guide to DevOps, a set of practices that combine software development and operations. It valuable resource for anyone looking to improve the efficiency and collaboration of their software development and operations teams.

The DevOps Handbook: How to Create World-Class...

Paperback

The DevOps Handbook: How to Create World-Class...

Kindle Edition

Spring 6 Recipes

Save

Provides a comprehensive guide to developing and deploying Java applications in a cloud-native environment. It covers topics such as containerization, microservices, and serverless computing.

Spring 6 Recipes: A Problem-Solution Approach to...

Paperback

Spring 6 Recipes: A Problem-Solution Approach to...

Kindle Edition

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Effort

1 hour 30 minutes

Level

Intermediate

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

English

Good to know

Explores core concepts of Google Kubernetes Engine autoscaling strategies, industry standard tools

Taught by Google Cloud Training, provides access to industry best practices and expertise

Develops practical skills in autoscaling Kubernetes deployments, immediately applicable

Self-paced lab enables hands-on exploration and experimentation

Covers a comprehensive range of autoscaling strategies, catering to diverse use cases

May require learners to come in with some prior understanding of Kubernetes and autoscaling

Share and help others discover this course

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