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Java Web Development (JSP/Servlets) Services |
| Java became popular on the Internet due to the small java applets in 1995. Java applets provided great looking
web sites. Java became pouplar due to its cross platform support.
Java Appliction runs same on Windows as on Linux/Unix/Mac. JSP and Java Servlets are used for server side programming to create dynamic pages which change with every request.
We have JSP/ Servlet programmers/developers. We can provide all kind of java web development services.
Contact us for a free quote.
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- How to Test a DELETE API Request With REST-Assured Java
API testing has become increasingly popular in recent times. Since it doesn’t involve a UI, it is generally faster and easier to execute. This makes API testing a preferred choice for validating end-to-end system functionality. Additionally, integrating automated API tests into CI/CD pipelines enables teams to receive quicker feedback on their builds.
In this tutorial, we will explore DELETE API requests and learn how to handle them with Rest-Assured in Java for automated testing. The following topics will be covered:
- How to Test a PATCH API Request With REST-Assured Java
Testing is an essential step in the API development process to ensure that APIs are working correctly. There are multiple HTTP methods in RESTful APIs, including POST, GET, PUT, PATCH, and DELETE. In our earlier articles, we learned how to perform automated testing of POST, PUT, and GET APIs using Rest-Assured Java.
In this tutorial article, we will discuss and cover the following points:
- Solving the Mystery: Why Java RSS Grows in Docker on M1 Macs
The Problem
You're running a Java application in a Docker container on your M1 Mac. Everything works fine, but you notice something strange: The resident set size (RSS) keeps growing, even though your heap usage is stable. After hours of investigation, you find mysterious rwxp memory regions, each exactly 128 MB, accumulating in your process memory map.
What's causing this? Is it a memory leak? A JVM bug? Something else entirely?
- Improving Java Application Reliability with Dynatrace AI Engine
Modern Java applications require robust observability and automated intelligence to ensure reliability at scale. Dynatrace’s AI-driven platform continuously learns application behavior, establishes statistical baselines and applies deterministic, causation based analysis to detect anomalies and pinpoint root causes.
By correlating metrics, logs, traces, and topology context across applications, services and infrastructure, Dynatrace can automatically highlight the true source of problems and assess their impact. This drastically reduces alert noise and MTTR .
- How AI Is Rewriting Full-Stack Java Systems: Practical Patterns with Spring Boot, Kafka and WebSockets
Building real-time applications means balancing user responsiveness with heavy backend processing. A proven solution is to decouple heavy workloads using events and asynchronous processing. In this approach, a Spring Boot application quickly publishes events to Kafka instead of processing requests inline. Then Kafka consumers (with AI/ML logic) handle the data in the background, and the results are pushed to clients in real time via WebSockets. This article highlights three key patterns enabling this architecture:
- Event Production with Spring Boot and Kafka
- AI-Driven Processing in Kafka Consumers
- Real-Time WebSocket Delivery to the Frontend
Event Production with Spring Boot and Kafka
The first step is capturing an event and publishing it to Kafka. By offloading work to Kafka the application can respond immediately to the user without waiting for processing. Spring Boot’s integration with Apache Kafka provides a KafkaTemplate to send messages to topics.
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