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AWS EC2 Image Builder: Automating OS Image Build Pipelines

Automation continues to be a major growing trend in today’s cloud infrastructure landscape. Service providers like Amazon Web Services are integrating better, more advanced automation tools to make the life of administrators easier. Automation allows for workflows to be more efficient, especially with more tasks being executed without the need for human input.

Until very recently, however, some fundamental tasks couldn’t be automated. The creation and maintenance of operating system images is a good example. Admins have different approaches when it comes to creating and maintaining OS images for their development teams, but all of those approaches required a lot of manual work.

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AMI and Snapshot Management Using AWS Lambda

Create AMIs automatically with AWS Lambda

Automating tasks and continuously improving workflows are key parts of DevOps. In a CI/CD pipeline, being able to simplify processes is a huge plus. Not only will simplifying systemic processes make life easier for you as a developer, but there are other added benefits to gain as well. For example, you can significantly reduce the cost of running services in the cloud with refined and automated scaling of infrastructure.

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How to Launch an EC2 Instance From a Custom AMI

Take advantage of the EC2 autoscaling with this tutorial.

Cloud is all about agility. Quickly creating new servers of various sizes and deploying applications on them is one of them. Let’s take the example of Netflix, hosted on AWS. Whenever there is a popular show or a movie, Netflix adds more and more EC2s using autoscaling to meet customer demand. Depending on the number of users trying to access Netflix service, the autoscaling feature can automatically add or delete EC2 instances. Let us see how to launch an EC2 instance from a custom AMI.

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What Are the Different Ways of Getting the Application onto The EC2 Instance?

How is the application installed on EC2 automatically? There are multiple ways to have the application along with the settings on the EC2 instance as discussed below.