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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

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What's inside

Syllabus

Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores a practice of automatically scaling resources based on custom monitoring metrics, a common industry practice for deploying machine learning models
Teaches essential Cloud skills for deploying and managing compute resources
Hands-on lab experience in the Google Cloud console provides practical application of concepts
Instructors are Google Cloud Training, recognized for their expertise in cloud computing
Requires prior experience with Google Cloud and familiarity with custom monitoring metrics, making it suitable for intermediate 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 Autoscaling an Instance Group with Custom Cloud Monitoring Metrics with these activities:
Review Linux command line
Familiarity with the Linux command line will be helpful for managing and troubleshooting Compute Engine instances.
Browse courses on Linux Command Line
Show steps
  • Review basic Linux commands.
  • Practice using the command line to manage files and processes.
Review networking concepts
Understanding networking concepts will be helpful for configuring instance groups and network settings.
Browse courses on Networking Concepts
Show steps
  • Review basic networking concepts.
  • Practice using networking tools.
Learn about Terraform
Understanding Terraform will provide a foundation for automating the deployment and management of Google Cloud resources.
Show steps
  • Review the Terraform documentation.
  • Experiment with creating and using Terraform configurations.
Four other activities
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Learn about Cloud Monitoring metrics
Understanding Cloud Monitoring metrics will provide a foundation for creating custom metrics for autoscaling.
Show steps
  • Review the Cloud Monitoring documentation.
  • Experiment with creating and viewing metrics.
Deploy an Autoscaling Compute Engine Instance Group
Deploying an autoscaling compute engine instance group will provide hands-on experience managing and configuring virtual machines in Google Cloud.
Show steps
  • Create a Compute Engine instance group.
  • Configure autoscaling policies for the instance group.
  • Test the autoscaling behavior.
Write a blog post about autoscaling Compute Engine instance groups
Writing a blog post will help you synthesize your understanding of autoscaling and share your knowledge with others.
Show steps
  • Choose a topic for your blog post.
  • Write a draft of your blog post.
  • Edit and publish your blog post.
Contribute to the Compute Engine Terraform provider
Contributing to the Compute Engine Terraform provider will provide experience working with the Google Cloud Platform and open source software.
Show steps
  • Find an issue to work on.
  • Create a pull request with your changes.
  • Respond to feedback and iterate on your changes.

Career center

Learners who complete Autoscaling an Instance Group with Custom Cloud Monitoring Metrics will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing, building, and managing data pipelines. This course can help you develop the skills you need to become a successful Data Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing data pipelines effectively.
Cloud Architect
Cloud Architects are responsible for designing, building, and managing cloud computing systems. This course can help you develop the skills you need to become a successful Cloud Architect by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing systems effectively.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. This course can help you develop the skills you need to become a successful DevOps Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing systems effectively.
Site Reliability Engineer
Site Reliability Engineers (SREs) are responsible for ensuring the reliability and performance of cloud computing systems. This course can help you develop the skills you need to become a successful SRE by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing systems effectively.
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud computing systems. This course can help you develop the skills you need to become a successful Cloud Security Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing systems effectively.
Cloud Infrastructure Architect
Cloud Infrastructure Architects are responsible for designing, building, and managing cloud computing infrastructure. This course can help you develop the skills you need to become a successful Cloud Infrastructure Architect by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing infrastructure effectively.
Cloud Developer
Cloud Developers are responsible for developing applications that run on cloud computing platforms. This course can help you develop the skills you need to become a successful Cloud Developer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for developing applications that run on cloud computing platforms effectively.
Performance Engineer
Performance Engineers are responsible for optimizing the performance of cloud computing systems. This course can help you develop the skills you need to become a successful Performance Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for optimizing the performance of cloud computing systems effectively.
Cloud Solutions Architect
Cloud Solutions Architects are responsible for designing, building, and managing cloud computing solutions. This course can help you develop the skills you need to become a successful Cloud Solutions Architect by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing solutions effectively.
Cloud Security Analyst
Cloud Security Analysts are responsible for monitoring and analyzing cloud computing security data. This course can help you develop the skills you need to become a successful Cloud Security Analyst by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for monitoring and analyzing cloud computing security data effectively.
Cloud Storage Engineer
Cloud Storage Engineers are responsible for designing, building, and managing cloud computing storage systems. This course can help you develop the skills you need to become a successful Cloud Storage Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing storage systems effectively.
Cloud Network Engineer
Cloud Network Engineers are responsible for designing, building, and managing cloud computing networks. This course can help you develop the skills you need to become a successful Cloud Network Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing networks effectively.
Cloud Database Engineer
Cloud Database Engineers are responsible for designing, building, and managing cloud computing database systems. This course can help you develop the skills you need to become a successful Cloud Database Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing database systems effectively.
Cloud Platform Engineer
Cloud Platform Engineers are responsible for designing, building, and managing cloud computing platforms. This course can help you develop the skills you need to become a successful Cloud Platform Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for managing cloud computing platforms effectively.
Cloud Compliance Engineer
Cloud Compliance Engineers are responsible for ensuring that cloud computing systems are compliant with applicable regulations. This course can help you develop the skills you need to become a successful Cloud Compliance Engineer by teaching you how to autoscale an instance group with custom Cloud Monitoring metrics. This skill is essential for ensuring that cloud computing systems are compliant with applicable regulations effectively.

Reading list

We've selected 13 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 Autoscaling an Instance Group with Custom Cloud Monitoring Metrics.
Offers a comprehensive overview of SRE principles and practices, which are highly relevant to the course topic.
Popular, widely-used guide to deploying and managing containerized applications in Kubernetes.
Delves into common challenges of cloud native architectures. It provides useful patterns and best practices for designing, deploying, and managing cloud native applications at scale.
While not specifically about Google Cloud Platform, this book offers valuable strategies and best practices for managing cloud architectures.
Covers Kubernetes Operators, which can be useful for automating the management of Kubernetes applications.
Provides a deep dive into the design and implementation of data-intensive applications, covering topics such as data modeling, storage, and processing.
Promotes the DevOps culture and practices for improving the collaboration between development and operations teams in software development.
Provides general guidelines and best practices that can be applied to most web applications, helping to improve performance and avoid common pitfalls.
Provides a comprehensive overview of cloud computing concepts, technologies, and services, with a focus on practical applications.
Provides a comprehensive guide to cloud system administration, covering topics such as infrastructure automation, monitoring, and security.

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