What is DevOps?
In a word, DevOps is about breaking down conventional boundaries between development and operations teams. DevOps teams collaborate across the entire software application life cycle, from development and testing to deployment and operations.
DevOps reflects a shift in IT culture, focused on quick IT service delivery through agile, lean approaches within a system-oriented framework. DevOps emphasizes people (and culture), intending to improve communication between operations and development teams. DevOps implementations use technology, particularly automation technologies that may take advantage of an increasingly programmable and dynamic infrastructure from a life cycle standpoint.
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In this AWS CodeDeploy Tutorial, We will be discussing How to use AWS CodeDeploy, Its Setup, and the Metrics of CodeDeploy
Table of Contents:
Why AWS DevOps?
AWS is one of the greatest cloud service providers, while DevOps is the “need of the hour” application of the software development life-cycle.
The following factors contribute to AWS DevOps’ popularity:
- DevOps teams using AWS CloudFormation are needed to generate and release cloud instances and services more often than conventional development teams. You can accomplish this with AWS CloudFormation. ‘Templates’ of AWS resources like EC2 instances, ECS containers, and S3 storage buckets allow you to build up the full stack without having to assemble everything yourself.
- Amazon Web Services EC2 speaks for itself. Containers may be run within EC2 instances. As a result, you may make use of AWS Security and administration tools. Another reason AWS DevOps is a deadly combination.
- AWS CodePipeline is a popular AWS product that greatly simplifies the management of your CI/CD tools. It integrates with platforms like GitHub, Jenkins, and CodeDeploy, allowing you to easily oversee the flow of app changes from development to production.
- AWS CloudWatch allows you to monitor any resource available on AWS. Furthermore, it makes it very simple to utilize third-party tools for monitoring Sumo Logic, Botmetric, AppDynamics, and so on.
- AWS generates and adds new instances to their list regularly, and the amount of customization with these instances allows you to make it simple to utilize AWS DevOps together.
All of these factors combine to make AWS one of the greatest DevOps platforms.
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What is AWS CodeDeploy?
This is what the definition states,
CodeDeploy is a deployment service that automates the deployment of applications to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services.
AWS CodeDeploy allows you to deploy a wide range of content and applications. Here’s a list of them:
- Multimedia files
- Serverless AWS Lambda functions
- Web and configuration files
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Working of AWS CodeDeploy
So, using the image below, let’s try to grasp how AWS CodeDeploy works:
To deploy apps, we must first construct or have applications. These apps are made up of revisions, which may be either source code or executable files that can be posted to a Github repository or an AWS S3 bucket.
Then there’s a deployment group, which might be a collection of instances related to the application to be deployed. These instances can be added using a tag or by utilizing an AWS Autoscaling group.
Finally, the deployment configuration contains AppSpec files that provide CodeDeploy with instructions on what and where to deploy apps. AppSpec configuration files have .yml extension.
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Features of Amazon CodeDeploy
- It can be used to deploy apps that require servers (conventional applications), serverless applications, and applications like Amazon ECS (container applications).
- CodeDeploy is a fully managed, automated service that deploys the user application in development, test, and production environments.
- In the instance of an application that leverages an EC2 or on-premise computing infrastructure, CodeDeploy can be used to make it highly available. The number of instances that must be taken down must be specified throughout the upgrade process.
- It is extremely scalable with the user infrastructure and can be used to install one or a thousand instances.
- When deploying in blue/green mode, the most recently updated application is deployed on the replacement instances. As soon as this occurs, traffic is diverted to the instances selected by the user at that moment or immediately after the new environment has been evaluated.
- The status of each deployment performed by the user can be followed using the CodeDeploy interface or the AWS CLI. The user will receive a report detailing when each application was altered when it was deployed, and to which Amazon EC2 instance it was deployed.
- CodeDeploy is a straightforward platform that works with any application. The setup code is easily reusable.
- CodeDeploy may be linked with the software release process or the continuous delivery toolchain to make deployment more efficient and simple.
What are AWS CodeDeploy Deployment Types?
In CodeDeploy, there are two deployment types:
The deployment modes supported by AWS CodeDeploy are “in-place deployments” and “blue/green deployments.”
- In-Place deployments: On each deployment group instance, the application is terminated. Then, install the most recent application revision. Finally, launch the updated application version and validate it. We may utilize a load balancer to deregister each instance during deployment and then restore service after the deployment is complete. Overall, In-place deployments are only possible for EC2/On-Premises computing platforms.
- Blue/Green deployments: Our deployment will operate differently depending on the computing platform we use:
- Blue/green on an AWS Lambda or Amazon ECS computing platform: Depending on whether the deployment is canary, linear, or all-at-once, traffic is transferred in stages.
- AWS CloudFormation blue/green deployments: Traffic is routed from our present resources to our new resources as part of an AWS CloudFormation stack update. At the present, only ECS blue/green deployments are supported.
AWS CodeDeploy Platforms
It allows you to deploy code to three distinct platforms:
Consider it a physical server instance or virtual machine that can be on-premises or in AWS. Applications built on top of it might be executable or configuration files. It supports both ‘In-Place’ and ‘Blue Green deployment’ traffic management methods.
2. AWS Lambda Functions:
If your apps have updated Lambda Functions, you may use AWS Lambda Functions and AWS CodeDeploy to deploy them in a serverless environment. This configuration provides a highly accessible computational structure.
3. Amazon ECS:
If you want to deploy containers, you can use AWS ECS and AWS CodeDeploy to do it in Blue/Green mode.
AWS CodeDeploy VS CloudFormation
AWS CloudFormation is described by developers as “creating and managing a set of connected AWS resources.” You may use the example templates provided by AWS CloudFormation or develop your own to specify the AWS resources, as well as any related dependencies or runtime parameters, necessary to run your application. You don’t have to figure out the sequence in which AWS services should be provisioned or the nuances of making those dependencies function.
AWS CodeDeploy, on the other hand, is described as “coordinate application deployments to Amazon EC2 instances.” It is a service that allows you to deploy code to Amazon EC2 instances automatically. AWS CodeDeploy enables you to quickly release new features, prevent downtime during deployment, and manage the complexity of upgrading your apps.
AWS CloudFormation and AWS CodeDeploy are both categorized as “Infrastructure Build” and “Deployment as a Service” technologies.
Benefits of AWS CodeDeploy
- CodeDeploy may be used to deploy both conventional and web services on servers.
- Through CodeDeploy, we can completely automate our application deployments in development, test, and production environments.
- We use CodeDeploy to improve the availability of our apps.
- CodeDeploy is platform neutral and works with any application. We can easily reuse our setup code.
- We can launch and monitor our deployments using the CodeDeploy interface.
Pricing of Amazon CodeDeploy:
- CodeDeploy on EC2, Lambda, and ECS: There is no additional price for AWS CodeDeploy code deployments to Amazon EC2, AWS Lambda, or Amazon ECS.
- For AWS CodeDeploy On-Premises: you pay $0.02 per on-premises instance update. There are no minimum costs or obligations required. A deployment to three instances, for example, means three instance updates. You will only be charged if CodeDeploy updates an instance. Any instances missed during the deployment will not be charged to you.
You are responsible for any additional AWS resources (such as S3 buckets) that you use in combination with CodeDeploy to store and operate your application. There are no minimum payments or prior obligations; you simply pay for what you use, when you use it.
So there you have it, guys. This takes us to the conclusion of this ”AWS CodeDeploy” tutorial. If you want a structured training method, choose our AWS Training Course certification program, which includes instructor-led live training and real-world project experience. This program will assist you in thoroughly understanding AWS Fundamentals and mastering numerous topics that are required for a successful AWS Profession.
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