Spring Boot VS serverless-java-container

- Usually manually wired and configured vs the spring boot "starter" pattern of having libraries that automatically do some of the manual setup work for you: https://github.com/spring-projects/spring-boot/blob/main/spr...

I wish more client library sets had the feature-matrix that the pulsar one does, because in practice most end up being the same: Java supports everything because it's either built in the same codebase or is the most used client and gets the most support, while the dotnet client codebase has many feature-requests or performance improvement issues, often leading to a "third-party client" being created.

https://github.com/spring-projects/spring-boot/pull/39754/co...

If you’re currently running with an earlier version of Spring Boot, I recommend that you upgrade to Spring Boot 2.7 before migrating to Spring Boot 3.0. It minimizes compatibility issues as much as possible.

Okay, we need to build the game? No problem, we will use Spring Boot and Swing!

It's weird that some people including you directly attack my competence. As a power user you should have plenty of experience getting something to work that is not properly document, does not work how the documentation promised it to, or has weird problems on top of it. Look at idiotic things like this:

https://github.com/spring-projects/spring-boot/issues/33044

Take any similar issue and you'll see a bunch of people who try to find a solution for them because they just aren't repeatable at all. The underlying issue is the auto configuration doing things you can't follow quite properly. It's like it wasn't mean to be understood. Issues like the one I linked above also show me that the spring dev crowd also doesn't understand the ecosystem anymore. The problem is complexity and automagic.

An interested reader can decide for themselves:

https://github.com/spring-projects/spring-boot/tree/main/spr...

Explicitly decoding URL query parameters occurs less often because many frameworks, including Spring Boot, handle decoding automatically.

https://aws.amazon.com/lambda/ https://aws.amazon.com/api-gateway/ https://aws.amazon.com/serverless/sam/ https://aws.amazon.com/cloudformation/ https://aws.amazon.com/s3/ https://spring.io/projects/spring-boot https://start.spring.io

The key dependency to make it work and translate between Spring Boot 3 (web annotation) model and AWS Lambda is the dependency to the artifact aws-serverless-java-container-springboot3 defined in the pom.xml. It's based on Serverless Java Container which natively supports API Gateway's proxy integration models for requests and responses, and we can create and inject custom models for methods that use custom mappings.

The AWS Serverless Java Container makes it easier to run Java applications written with frameworks such as Spring, Spring Boot 2 and 3, or JAX-RS/Jersey in Lambda. We have already seen that Micronaut framework also uses AWS Serverless Java Container.

Serverless has grown to mean many things and can even mean something different depending on whose cloud you are paying for. But for our team and for the purpose of this article, serverless is a way of building and running applications without having to manage the underlying infrastructure on AWS.

Read the Quick Start here: https://github.com/awslabs/aws-serverless-java-container/wiki/Quick-start---Spring-Boot3 Thanks to Mark Sailes for all of his help with this tuto

Having knowledge about microservices architectures, serverless, and related concepts is highly beneficial. This includes understanding chaos testing techniques with AWS Fault Injection Simulator.

I've heard that server providers like Amazon Web Services offer dynamic scaling serverless architecture https://aws.amazon.com/serverless/

AWS Docs - Official documentation for all things AWS serverless

Although not what I would consider 'core' cloud services, the orchestration and communication services are key to event driven development and robust application design. If you are structuring your application to take advantage of event flow, these are tools you are going to want to be familiar with, and will be instrumental in your success by saving you time, money, complexity, and management overhead. This about wraps up what I want to cover with serverless cloud services, though there is so much out there to explore. Tune in tomorrow as we start to put all of this together with best practices.*

If you're new to the application development world, API stands for Application Programming Interface, an interface that offers a 'service' of sorts for applications to consume. Google Maps, for instance, has a public API that you or I could use if we're building an application to locate all of the restaurants in our town. They surface this, and many, many other data points via documented endpoints, and we can use things like API keys to access this data. If you're a developer, chances are you will build an API at some point in your career, if not several, and you will definitely work with them. As a key building block in application development, AWS provides a few API solutions.

As an AWS Hero and a Principal Software engineer at a large Fortune 100 enterprise, I have been focused solely on serverless technologies and enablement over the last 3 years. I have spoken quite extensively about our serverless journey, what serverless means in a large enterprise, and how to be successful in a corporate setting. Everything I have learned has been through experience, on-the-job. The serverless definition I resonate with most states that serverless is event-driven, your resources scale up and down without you needing to manage them, and follows an "only pay for what you use" model. Let's break this down a bit further: