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[Medium Tech Blog]📢 👩💻 AWS Lambda has changed the way we build and run applications by offering a serverless computing environment. This means developers can focus on writing code without worrying about managing servers. When AWS Lambda first came out, Java was a popular choice for many developers. However, over time, Java has fallen out of favor for use in Lambda functions. 🔥 Let’s look at the challenges Java faced and explore the new tools and methods that can help bring Java back as a strong option for serverless computing. See the full article written by Paulina Ksienżyk in the link below 😎

#Java #Spring I finally improved the file storage implementation of my application. I introduced a file storage interface. Previously, the file storage implementation was tightly integrated with the main application logic, making it difficult to adapt or switch storage solutions. By abstracting the storage mechanism behind this interface, I can now switch between different storage providers (like local storage, AWS S3, etc.) without affecting the core functionality. Making the storage system transparent seems the best step towards deployment. #transparency

Alright Java lovers, here is Part 2 for deploying serverless Java RESTEasy onAWS ECS Farget. In this part, I focused on deploying containerized application on AWS ECS Fargate and make it publicly available.

For a small scale application, AWS Elasticbeanstalk can be very helpful and it's quite easy to deploy application on Elasticbeanstalk. Quick guide to get started: 1. Choose your application platform like Java, Nodejs or others. 2. Deploy source code(or artifacts) from Local or S3 3. Define Autoscaling criteria 4. Reroute the external traffic to Elasticbeanstalk Application using Route53

🚀 Excited to share our latest blog post on "Benchmarking Java applications using AWS Managed Open Source services." In this post, we demonstrate how to leverage AWS Managed Prometheus, Managed Grafana, and the open-source wrk tool to benchmark Java applications across x86 and ARM architectures. See the step-by-step guide and learn how to monitor application performance, optimize resource utilization, and make informed decisions. Read the full article here: [Benchmarking Java applications using AWS Managed Open Source services](https://ift.tt/PAhw0q1) #AWS #Java #Benchmarking #Observability

How To Build A Complete JSON API In Golang (JWT, Postgres, and Docker) Part 1 #golang #jsonapi #jwt #postgres #docker #tutorial https://lnkd.in/e5JPpA35

From #AsyncAPI to Spring Cloud Streams with ZenWave SDK Learn how to generate all the glue code required to produce and consume asyncronous messages from Spring Java projects... And because **working software is worth more that a thousand words**, you can find a complete example in the video description... https://lnkd.in/d2Bs3vYY

Lets Solve simple use case with power of Programing and touch of other Tools and config User ->input length of Password User ->Input name and length Result ->return Password with custom algorithm Stacks --------------------- SIT testing server -VPS (3GM RAM ,20+ ssd) Front end -Angular 18, code->https://lnkd.in/gRXHr92K Back end -Spring boot, java 21 , Server inbuild Spring boot tomcat Backend->https://lnkd.in/gVgJFyMR Integrate Cloud config server Repository -GitHub lets me comment if someone wish to documented this and required Tutorial

Hi everyone, I just shared a AWS S3 Java Spring Boot example on Medium, comparing two ways to upload/download files: - Uploading / downloading through the backend - Using S3 Presigned URLs for direct upload / downloads Presigned URLs make uploads/downloads easier and reduce backend load. You can find more details here: https://lnkd.in/dNTbDVfa code repository: https://lnkd.in/dFzHZFhv #SpringBoot #Java #AWS #S3 #PresignedURL