aws-sdk VS aws-cloudformation-coverage-roadmap

From this GitHub issue and this one from 2021 it seems like AWS just doesn't care about this - so, asking here if anyone knows of a workaround (other than "just keep using v2"... that's not a long-term solution), or if any AWS devs can shed some light on the situation.

AWS SDKs

Please note that ECS Exec is supported via AWS SDKs, AWS CLI, as well as AWS Copilot. In the future, we will enable this capability in the AWS Console. Also, this feature only supports Linux containers (Windows containers support for ECS Exec is not part of this announcement).

Set up the AWS CLI and AWS SDKs.

One common pattern to integrate with AWS from a workflow job is to call additional services using the AWS CLI. Overall, this works well, but there are a few considerations one should note when doing so. First and foremost, a workflow job needs to know where the AWS CLI installed and how to use it. You can do this by either installing the AWS CLI on the host compute and bind mounting it into the container job, or including the AWS CLI as part of the container image. That said, see my notes above on keeping container images small for associated caveats. Second, while the AWS CLI is great for scripting, for more complex operations direct integration via the AWS SDK is a better fit.

I like how you can imagine what the Python implementation that uses this looks like from this structure. If there are no waiters for what you need, you can create an Issue in the AWS SDK repository because the service teams provide those. I tried that for DynamoDB Streams, and I'm curious to see how long it will take them to add that.

Amazon Simple Email Service (SES) is a serverless service for sending emails from your applications. Like other AWS services, you can send emails with SES using the AWS REST API or the AWS SDKs. In this article, I want to look at how to send emails using SES with TypeScript specifically.

In 2002, Jeff Bezos's so-called API Mandate forced all Amazon teams to expose their data and functionality through service interfaces. Amazon has built AWS around the same principles: every service is programmatically controllable, from starting a virtual machine to accessing a satellite. While this is an essential property of an effective cloud platform, it is not necessarily developer-friendly. By now, AWS has incrementally and significantly improved in this space. Besides using their APIs, we can control services and infrastructure with a unified Command Line Interface (CLI), Software Development Kits (SDK), CloudFormation, and, since July 2019, the AWS Cloud Development Kit (CDK). The CDK had a massive impact on developer productivity and satisfaction. While teams could already access and control services and infrastructure using the AWS SDK and their favorite programming language, infrastructure was primarily defined using incredible amounts of mostly punctuation marks and whitespace, also known as YAML or JSON. CDK — initially only flavored TypeScript and Python — finally gave developers an AWS-native means to define Infrastructure as actual Code. Since its introduction, AWS has added support for more languages, like Java, C#, and Go.

Yes, no AWS api to create users/groups: https://github.com/aws/aws-sdk/issues/25

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.