aws-codedeploy-agent VS aws-cloudformation-coverage-roadmap

AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services. A compute platform is a platform on which CodeDeploy deploys an application. There are three compute platforms:

When we deploy code at Aha! we kick off a number of AWS CodeDeploy tasks running in parallel. Here's some code to simulate deployment:

AWS has a service named CodeDeploy for this. It does exactly what you describe.

AWS CodeDeploy is a fully managed deployment service that automates software deployments to various compute services, such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers.

AWS's developer suite of products includes the AWS CodeDeploy offering, which can help developers deploy AWS Lambda functions and other compute-related services.

Documentation

AWS? Dude, use CodeDeploy green blue with hooks.

AWS CodeDeploy is a service from Amazon Web Services that automates deployments to any instance. It works with any language, platform, or application. AWS CodeDeploy makes it easier to release new features quickly, avoid downtime during application deployment, and handle the complexity of updating applications. Users can also test and track deployments so they're not left guessing or digging through logs when something goes wrong. Our integration with AWS CodeDeploy can be integrated directly into your CI/CD pipeline to improve your AWS DevOps security.

If you have a BFF, that means you have a front-end. If you have a front-end, you gotta host it somewhere. Amplify is an AWS managed service built for hosting Single Page Applications. It abstracts away all the existing serverless tech you’d traditionally use on AWS into a single place, automating most of it. S3 static asses, cache busting on deploy, and it even abstracts it’s own build pipeline using CodeDeploy sourced right from your code repository. Like AppSync, it creates a CloudFront distribution for you, and optionally provides automatic Route53 creation if you want at full URL.

Once a fresh build passes via CodePipeline, CodeDeploy distributes the functioning package to each instance based on your predefined settings. This makes it easy to coordinate builds and upgrade or patch simultaneously. CodeDeploy is code-agnostic and includes typical old code with ease. Every deployment instance can be readily monitored using the AWS Management Console, and any mistakes or issues may be rolled back through the graphical user interface.

Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may have a skill gap within their organization regarding their cloud skill set, and in turn, they are more likely to use AWS Enterprise Support.

Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator.

AWS CloudFormation: Speed up cloud provisioning with infrastructure as code.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.

Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool.

AWS Application Composer launched in the AWS Console at re:Invent one year ago, and this re:Invent it expanded to the VS Code IDE as part of the AWS Toolkit - but that’s not the only exciting part. When using App Composer in the IDE, users also get access to a generative AI partner that will help them write infrastructure as code (IaC) for all 1100+ AWS CloudFormation resources that Application Composer now supports.

CloudFormation

Of course, best practices today dictate that we should be deploying our infrastructure as code, using tools such as CloudFormation or Terraform.

If you're provisioning the above resources for the first time, you'll have to either configure Terraform to use specific AWS keys as you won't have OIDC connection yet. In my case, I chose to have those pre-requesites resources in a CloudFormation template and deploy them with StackSets.