Java Web Development (JSP/Servlets) Services

Java has long been a trusted language for enterprise applications due to its versatility and ability to run seamlessly across various platforms, but as serverless platforms like AWS Lambda gain momentum, deploying Java applications in serverless platforms presents unique challenges, notably due to bloated packages and time to get initialized.

This led to an increase in the popularity and adoption of languages such as Go, Node.js, and Python for applications that are traditionally built on Java. When we take a deeper look to understand the inherent struggles that JVM-based applications have, the prominent ones are slow cold starts, high memory consumption, and runtime inefficiencies, making lighter runtimes more attractive in cloud-native environments.

The industry's increasing focus on secure container images is undeniable. Companies like Chainguard — specializing in delivering container images free of CVEs — have demonstrated the demand by recently raising an impressive $140 million at a $1.1 billion valuation. In the open-source ecosystem, Cloud Native Buildpacks, an incubating CNCF project, and their vibrant communities deliver a comparable value proposition by automating the creation of optimized and secure container images.

In this article, I'll explore Buildpack's core concepts, comparing them with Docker to illustrate their functionality and highlight how they provide a community-driven alternative to the value Chainguard brings to container security.

API testing has gained a lot of momentum these days. As UI is not involved, it is a lot easier and quicker to test. This is the reason why API testing is considered the first choice for performing end-to-end testing of the system. Integrating the automated API Tests with the CI/CD pipelines allows teams to get faster feedback on the builds. 

In this blog, we'll discuss and learn about DELETE API requests and how to handle them using Playwright Java for automation testing, covering the following points:

In today’s world enterprise applications increasingly require the ability to asynchronously process large datasets. The processing of data must correlate and compute results at the same time. This article illustrates how CyclicBarrier and CompletableFuture, combined, perform efficiently in processing and producing desired results from large datasets.

Why to Use Asynchronous Processing?

Asynchronous processing lets tasks run without blocking others. Unlike synchronous processing, which runs tasks in order, it allows multiple tasks to proceed at once. This method is handy for tasks that need to wait for external resources, like network requests. It boosts efficiency and responsiveness in applications. 

Mostly, developers make use of if-else statements to cater to differing circumstances. Even so, this could prove itself quite troublesome especially when more conditions arise. Putting additional business needs into these chains might cause errors while making the code more complicated than necessary. It is advisable that we anticipate eventually creating solutions that could change or grow without being difficultly updated in order not only to ensure the robustness of one’s system but also to enable its adaptation within unforeseen circumstances. Our codes will then remain potent and readily adaptable to the needs ahead us in this case.

In this article, we’ll delve into methods for managing functions in a calculator using Java in all examples. The aim is to enhance the processing of operations (such as addition, subtraction, multiplication, and division) in our coding. We’ll incorporate techniques by using a sample calculator that receives a request with an operation type and two values, including if-else statements, switch cases, and the strategy design pattern. The main focus will be on describing the concepts and benefits of each method.