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AWS

Auto Scaling helps you maintain application availability and allows you to dynamically scale your Amazon EC2 capacity up or down automatically, according to conditions you define.

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Auto Scaling helps you maintain application availability and allows you to dynamically scale your Amazon EC2 capacity up or down automatically, according to conditions you define.

Auto Scaling helps you maintain application availability and allows you to dynamically scale your Amazon EC2 capacity up or down automatically, according to conditions you define. This course will introduce you to Auto Scaling, including types of automatic scaling and the various components that make up the service. We discuss benefits, best practices, and use cases, and walk you through a demonstration of how to create a launch configuration, auto scaling group and policy, and how to trigger Auto Scaling.

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What's inside

Syllabus

Introduction to EC2 Auto Scaling

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Appropriate for cloud engineers who manage AWS EC2 instances and want to automate scaling
Emphasis on hands-on learning through demonstration and interactive materials
Covers industry-standard practices for automated scaling in cloud environments
Instructors from AWS provide expertise and industry insights
Provides a strong foundation for managing cloud resources and scaling applications effectively

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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 Introduction to EC2 Auto Scaling with these activities:
Practice creating auto scaling configurations
Warm up your knowledge of Auto Scaling before the course begins by practicing creating auto scaling configurations.
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  • Review the AWS documentation on creating auto scaling configurations.
  • Create multiple configurations covering different cases such as scaling up and down based on CPU utilization.
  • Review your configurations for accuracy and completeness.
Follow a tutorial on setting up Auto Scaling
Supplement your understanding of Auto Scaling by following a guided tutorial on setting it up.
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  • Find a comprehensive tutorial on setting up Auto Scaling on AWS.
  • Follow the tutorial step-by-step and implement Auto Scaling in your own environment.
  • Review the results and make any necessary adjustments to your configuration.
Practice scaling up and down EC2 instances
Solidify your understanding of Auto Scaling by practicing scaling up and down EC2 instances manually.
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  • Create an Auto Scaling group for your EC2 instances.
  • Trigger scale up and scale down events manually using the AWS console or CLI.
  • Monitor the scaling process and make adjustments as needed.
Four other activities
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Attend a peer study session or discussion group
Enhance your understanding of Auto Scaling by participating in a peer study session or discussion group.
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  • Find a group of peers who are also taking or have taken the course.
  • Meet regularly to discuss the course material, share insights, and ask questions.
  • Collaborate on projects or assignments related to Auto Scaling.
Create a blog post or article summarizing your learning
Reinforce what you've learned and share your knowledge by creating a blog post or article summarizing your learning on Auto Scaling.
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  • Review the concepts and examples covered in the course.
  • Identify key takeaways and areas where you gained new insights.
  • Craft a blog post or article that explains Auto Scaling principles and best practices.
  • Share your blog post or article with others or publish it on a platform.
Contribute to open source projects related to Auto Scaling
Enhance your practical skills and support the Auto Scaling community by contributing to open source projects.
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  • Identify open source projects related to Auto Scaling on platforms like GitHub.
  • Review codebases, identify issues, and propose solutions through pull requests.
  • Collaborate with other developers and make meaningful contributions to the project.
Develop an Auto Scaling solution for a specific application or project
Apply your knowledge of Auto Scaling by designing and implementing a solution for a real-world scenario.
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  • Identify a business need or problem that can be addressed through Auto Scaling.
  • Design an Auto Scaling architecture that meets the specific requirements.
  • Implement and deploy the Auto Scaling solution in a production environment.
  • Monitor and evaluate the solution, making adjustments as needed.

Career center

Learners who complete Introduction to EC2 Auto Scaling will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Cloud Architects are responsible for designing, deploying, and managing complex cloud infrastructures. Auto Scaling is a key component of cloud architectures, as it enables dynamic scaling of resources to meet application demands. This course provides Cloud Architects with a solid understanding of Auto Scaling concepts and best practices, helping them build reliable and scalable cloud solutions.
DevOps Engineer
Auto Scaling has become prevalent in the DevOps field, as it plays a crucial role in automating the process of scaling infrastructure based on performance and usage metrics. As a DevOps Engineer, knowledge of Auto Scaling and its components, such as launch configurations and scaling policies, is highly sought after. This course provides a comprehensive introduction to Auto Scaling, making it an excellent resource for those aspiring to or advancing in this field.
Application Architect
Application Architects design and develop software applications, including the infrastructure they run on. Auto Scaling is an essential technology for Application Architects, as it enables them to build scalable and resilient applications that can handle varying workloads. This course provides Application Architects with a solid understanding of Auto Scaling concepts and best practices, helping them design and implement high-quality applications.
Systems Engineer
Systems Engineers are responsible for designing and implementing complex IT systems, including cloud environments. Auto Scaling is a critical technology for Systems Engineers, as it helps ensure the availability and performance of IT systems by automating the scaling of resources. This course provides Systems Engineers with the knowledge and skills needed to effectively use Auto Scaling in their designs and implementations.
Cloud Developer
Cloud Developers are responsible for developing and deploying software applications in the cloud. Auto Scaling is a key technology for Cloud Developers, as it enables them to build scalable and reliable applications that can handle varying workloads. This course provides Cloud Developers with a solid understanding of Auto Scaling concepts and best practices, helping them develop high-quality cloud applications.
IT Manager
IT Managers oversee the planning, implementation, and management of IT systems and services. Auto Scaling is a critical technology for IT Managers, as it helps ensure the availability, performance, and cost-effectiveness of IT systems. This course provides IT Managers with a high-level understanding of Auto Scaling concepts and best practices, helping them make informed decisions about its use in their organizations.
Software Engineer
Software Engineers design, develop, and maintain software applications. While Auto Scaling is not a core skill for Software Engineers, it can be beneficial for those working on cloud-based applications or systems. This course provides Software Engineers with a basic understanding of Auto Scaling concepts and best practices, helping them build scalable and reliable software solutions.
Database Administrator
Database Administrators manage and maintain database systems. While Auto Scaling is not a core skill for Database Administrators, it can be beneficial for those working with cloud-based databases or systems. This course provides Database Administrators with a basic understanding of Auto Scaling concepts and best practices, helping them ensure the availability and performance of their databases.
Security Engineer
Security Engineers design, implement, and maintain security systems. While Auto Scaling is not a core skill for Security Engineers, it can be beneficial for those working with cloud-based security systems or solutions. This course provides Security Engineers with a basic understanding of Auto Scaling concepts and best practices, helping them ensure the security of their systems.
Network Engineer
Network Engineers design, implement, and maintain computer networks. While Auto Scaling is not a core skill for Network Engineers, it can be beneficial for those working with cloud-based networks or systems. This course provides Network Engineers with a basic understanding of Auto Scaling concepts and best practices, helping them ensure the availability and performance of their networks.
Data Analyst
Data Analysts collect, analyze, and interpret data to support decision-making. While Auto Scaling is not a core skill for Data Analysts, it can be beneficial for those working with large datasets or systems. This course provides Data Analysts with a basic understanding of Auto Scaling concepts and best practices, helping them ensure the availability and performance of their data pipelines.
Product Manager
Product Managers define and manage the development of products. While Auto Scaling is not a core skill for Product Managers, it can be beneficial for those working on cloud-based products or systems. This course provides Product Managers with a basic understanding of Auto Scaling concepts and best practices, helping them understand the technical aspects of cloud products.
Project Manager
Project Managers plan, execute, and close projects. While Auto Scaling is not a core skill for Project Managers, it can be beneficial for those working on cloud-based projects or systems. This course provides Project Managers with a basic understanding of Auto Scaling concepts and best practices, helping them manage cloud projects effectively.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. While Auto Scaling is not a core skill for Business Analysts, it can be beneficial for those working with cloud-based solutions or systems. This course provides Business Analysts with a basic understanding of Auto Scaling concepts and best practices, helping them understand the technical aspects of cloud solutions.
Technical Writer
Technical Writers create documentation for software and hardware products. While Auto Scaling is not a core skill for Technical Writers, it can be beneficial for those writing documentation for cloud-based products or systems. This course provides Technical Writers with a basic understanding of Auto Scaling concepts and best practices, helping them write accurate and informative documentation.

Reading list

We've selected 12 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 Introduction to EC2 Auto Scaling.
Provides an introduction to cloud computing. It covers a range of topics, including scaling and elasticity. This book is useful for understanding the fundamentals of cloud computing.
Covers data-intensive applications. It includes a section on scalability and is useful for understanding how to design scalable data-intensive applications.
Covers using Terraform for infrastructure as code. It includes a section on auto scaling and is useful for understanding how to use Terraform to automate the provisioning and management of auto scaling systems.
Provides a comprehensive overview of cloud computing, including the concepts, benefits, and challenges of using cloud services. It valuable resource for anyone looking to learn more about cloud computing and how to use it effectively.
Provides a comprehensive overview of Elasticsearch, a popular open-source search engine. It valuable resource for anyone looking to learn more about Elasticsearch and how to use it effectively.
Provides a comprehensive overview of Hadoop, a popular open-source framework for distributed computing. It valuable resource for anyone looking to learn more about Hadoop and how to use it effectively.
Provides a comprehensive overview of the principles and practices of site reliability engineering. It valuable resource for anyone looking to learn more about how to design and operate reliable and scalable systems.
Provides a comprehensive overview of the principles and practices of microservices architecture. It valuable resource for anyone looking to learn more about how to design and build microservices applications.
Provides a comprehensive overview of the principles and practices of cloud native development with Java. It valuable resource for anyone looking to learn more about how to design and build cloud native applications with Java.
Provides a comprehensive overview of Kafka, a popular open-source streaming platform. It valuable resource for anyone looking to learn more about Kafka and how to use it effectively.
Provides a comprehensive overview of MongoDB, a popular open-source NoSQL database. It valuable resource for anyone looking to learn more about MongoDB and how to use it effectively.

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