This course provides detail on the AWS Compute services relevant to the AWS Certified DevOps Engineer - Professional exam. We shall be looking at Amazon EC2, EC2 Image Builder, Auto Scaling, and AWS Elastic Beanstalk.
- Understand when to use Amazon EC2
- Learn about the components of Amazon EC2
- How to create and deploy EC2 services
- Understand what EC2 Auto Scaling is
- Learn how to use EC2 Image Builder to automate the creation of customized, secure virtual machine and container images
- Be able to configure Auto Scaling launch configurations, launch templates, and Auto Scaling groups
- The ability to explain what AWS Elastic Beanstalk is and what it is used for
- The knowledge of the different environments that Elastic Beanstalk provides, allowing you to select the most appropriate option for your needs
- An explanation of how to configure the service and some of the parameters that you can alter to meet your application requirements
- The knowledge of the different monitoring options available for assessing your environment and resources health
Hello, and welcome to this course on compute in AWS, where we’re here to help you on your journey to prepare for the AWS Certified DevOps Engineer - Professional certification.
Before we get started, I’d like to introduce myself. My name is Danny Jessee, and I am one of the trainers here at Cloud Academy, specializing in AWS – Amazon Web Services – and AWS certifications.
In this course, the AWS team will be presenting a series of lectures that introduce the various compute services currently available in AWS that may be covered on the exam.
Feel free to contact me with any questions using the details shown on the screen, or you can always get in touch with us here at Cloud Academy by sending an email to email@example.com, where one of our Cloud experts will reply to your question.
This course has been specifically curated to help you pass the AWS Certified DevOps Engineer - Professional exam and is ideal for anyone who is looking to learn more about the various compute services in AWS in preparation for the exam.
The objective of this course is to provide an introduction to compute services in AWS for DevOps engineers, including:
- AWS App Runner,
- Amazon EC2,
- Amazon EC2 Auto Scaling,
- EC2 Image Builder,
- AWS Elastic Beanstalk, and the
- AWS Serverless Application Repository.
Together with the other courses in this learning path, we’ll cover all of the key tools, technologies, and concepts from the AWS Certified DevOps Engineer - Professional exam guide and ensure that you are fully prepared to sit this exam.
The AWS Certified DevOps Engineer - Professional certification has been designed for anyone in a DevOps engineer role who has knowledge and experience using AWS services to provision, operate, and manage distributed systems and services. All of the AWS Cloud concepts introduced in this course will be explained and reinforced from the ground up.
Here at Cloud Academy, we strive to keep our content current to provide the best training available. If you have any feedback, positive or negative, or if you notice anything that needs to be updated or corrected for the next release cycle, please reach out to us at firstname.lastname@example.org. Thank you!
Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.
Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.