containers-roadmap VS aws-lambda-java-libs

Thanks for showing up and answering questions. Congratulations on the release.

What kind of plans for support of Rust's evolving async ecosystem?

Any particular reason why the public roadmap does not show the columns similar to "Researching", "We're Working On It" like the other similar public AWS Roadmaps? See example for Containers: https://github.com/aws/containers-roadmap/projects/1

Would be nice to have fully working examples on Github, for most common scenarios across most AWS services. This is something that historically

Second, We will only rely on one managed node group, but we will leverage Karpenter; however, karpenter needs to be deployed on a node. (This may change soon once the Karpenter is available on the EKS Control Plane.) [EKS] Karpenter inside control plane · Issue #1792 · aws/containers-roadmap

As written in the AWS documentation, during periods of extremely high demand, Fargate Spot capacity might be unavailable. In concrete terms, if your ECS service is set up to execute tasks in 100% Spot, there is a risk of running out of capacity. A workaround has been created in the hope that one day this issue will be implemented by the AWS team. This workaround allows you to set up two ECS services :

Deploying Fargate with CDK has to have been the most pleasant developer experience I have ever had with any product so far.

If image caching becomes a reality with Fargate I can't imagine a need to ever use anything else

https://github.com/aws/containers-roadmap/issues/696

Eks Fargate doesn't support spot yet https://github.com/aws/containers-roadmap/issues/622

Until podman could be used with AWS ECR/ECS it's pretty much moot in my case: https://github.com/aws/containers-roadmap/issues/626

So AWS Lambda is basically a serverless computing service that is offered by AWS. It enables developers to run the code in response to various events. It protects the developers from the pain of managing the servers. Using a serverless execution model helps the developers to handle provision, manage and scale the servers automatically. Through this approach the developers can fully focus on writing the code instead of dealing with other aspects.

The first product that popularized the term “serverless” was AWS Lambda, which is both the prototypical and archetypical function as a service provider. It also has a great name, which pings back to its envisioned place in the cloud of the future. In computer programming, a lambda, often referred to as a lambda function or lambda expression, is a concise way to represent an anonymous function, which is a function without a name. The concept originates from lambda calculus in mathematical logic and has been adopted by many programming languages, each with its own syntax and characteristics.

You can build a custom config rules in 2 ways, using AWS Lambda and CloudFormation Guard. Lambda gives you a lot of flexibility, but it also brings complexity of maintaining. CloudFormation Guard is a bit more lightweight in that regard. Yes, you still need to maintain the logic to determine when your resource is compliant or not. But you need to do this in both cases, thus my go to preference is CloudFormation Guard.

AWS Lambda: https://aws.amazon.com/lambda/

This blog details how you can use some key serverless components from AWS like Amazon Eventbridge, AWS Lambda, and Simple Notification Service to setup a system that will monitor your site (which can be running anywhere) and send emails, text messages, slack messages, and more when the reachability status of your site changes.

I use the OpenWeather API to receive the current temperature data by providing the latitude and longitude coordinates as query strings in the request. A Lambda function invokes the weather API and sends the current temperature value as a custom metric to CloudWatch. I then graph the temperature values on a dashboard and activate an alarm when the temperature sinks below zero degrees Celsius.

After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB.

I discussed a way to control access to endpoints using JSON web tokens and a Lambda authorizer earlier.

In this blog post, you will learn how to build a Serverless solution for entity detection using Amazon Comprehend, AWS Lambda and the Go programming language.