aws-codedeploy-agent VS aws-lambda-java-libs

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.

FaaS is specifically focused on building and running applications as a set of independent functions or microservices. Major cloud providers like AWS (Lambda), Microsoft Azure (Functions), and Google Cloud (Cloud Functions) offer FaaS platforms that allow developers to write and deploy individual functions without managing the underlying infrastructure.

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.