Serverless Apps with Java on AWS

Managing and provisioning various cloud services is as complex as writing application Java code. In contrast to application code, the cloud infrastructure is highly reusable.

This workshop is a continuous review of ready-to-use templates, examples, and patterns of serverless applications on Amazon Web Services, focusing on serverless. We will use Infrastructure as Java Code: AWS Cloud Development Kit (CDK v2) for Java and use Maven repositories to quickly build and share the code.

In this workshop, I won't implement each application from scratch, rather than walk through already prepared ready-to-use examples and templates reflecting common patterns and adjust them to more specific use cases.

All changes, attendees' requests, and suggestions will be committed to a git repository in real-time.

Prerequisites

Basic AWS and Java SE / Java EE / Jakarta EE / MicroProfile experience (I will use Java concepts to explain FaaS, HA, functions, triggers, events, containers, metrics, configuration).

Topics

After a a short introduction to AWS basics (VPC, IAM, accounts, storage and organizations), we will cover the following templates and use cases:

• Continuous deployment with AWS Cloud Development Kit (CDK) v2
• A reusable AWS ECS Fargate construct with Quarkus, Docker image creation and push
• MicroProfile (e.g. Quarkus) microservices on ECS Fargate with private DNS names with Route 53
• ECS Fargate application behind an Application Load Balancer with end to end SSL encryption and automated certificate handling
• ECS Fargate application on Quarkus accessing Aurora DB for PostgreSQL with secrets
• Scheduled / cron jobs for ECS Fargate and Lambda
• Scheduled tasks with ECS Fargate
• Serverless, continuous deployment with CodePipeline, GitHub, CDK, CodePipeline and CodeDeploy (GitOps, self-provisioned runtimes)
• Saving costs with EC 2 Spot instances for batch, build and with Fargate
• Running microservices and AWS Lambdas in isolated VPCs
• MicroProfile / AWS Lambda application accessing Aurora DB via JDBC
• Using serverless, AWS managed Kafka with MicroProfile applications
• Metrics and alerts for MicroProfile applications with CloudWatch
• Using JWT, OIDC with MicroProfile applications and AWS Cognito
• Automated provisioning of VPN and Bastion hosts for debugging
• Automated DNS and SSL certificates handling
• Native images with GraalVM on AWS
• featuring: Quarkus, Helidon, Micronaut and plain Java SE
• The agenda is based on questions from projects, conferences, workshops and is still in progress
• ...and most popular questions, topics and technologies from airhacks.tv

In this advanced workshop I will discuss and implement cloud native Java / MicroProfile applications in serverless AWS cloud. As a reference, you will get a GIT repository with all snippets and solutions, as well as prepared sample applications.

A developer laptop with pre-installed Java 11 (AWS Lambda currently only runs on Corretto 11), GIT-client, AWS CLI, and Maven 3 is required to run the examples. You can run the examples if you like, or "hack" along with me, but taking notes is perfectly viable as well.

I will use my AWS account to live deploy the applications and explain various AWS services.

Environment requirements / prerequisites.

I/we will spend 80% of the time in code--it also highly depends on your questions.

Feel free to contact me / register via email: workshops[-AT-] adam-bien.com

Registration