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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.


Java Web Development News and Articles

  • HTTP QUERY Method Explained: RFC 10008, Ecosystem Adoption, and a Quarkus Implementation

    Then the search form grows, filters multiply, and nested criteria appear. Since using GET means placing the query inside the URI, a length limit problem emerges. Worse, placing sensitive query values in the URI increases the chance of exposure through access logs, browser history, proxies, and monitoring systems. Because the HTTP protocol does not forbid it, sending a body with GET may look like a way out, but building your design on behavior the standards leave undefined is not a recommended practice. Elasticsearch's GET-with-body search API is a well-known example, and Elastic's own documentation openly acknowledges the problem:

    "As a result, some HTTP servers allow it, and some—especially caching proxies—don't. [...] However, because GET with a request body is not universally supported, the search API also accepts POST requests."



  • I Built a Java Version Manager by Fixing Other Tools' Open Bugs

    Every Java developer knows the ritual. A JAVA_HOME export in one profile file, a different one in another. sdk use java 21 in this terminal, but the other terminal is still on 8. The build passes in your shell and fails in the IDE because the IDE launched from the dock and never sourced your init line. A teammate's "works on my machine" that turns out to mean "works on my shell."

    I got tired of it, so I built Jolta. It's Volta, but for Java. This article is partly about what it does, but mostly about how I built it, because the process is the part I'd recommend to anyone building in a crowded tool category: I mined my competitors' bug trackers and turned their backlogs into my test suite.



  • Rethinking Java Design Patterns: From OOP to FP

    The functional programming answer, to those who wonder how to integrate or combine it with object-oriented programming, is usually: Turtles all the way down.

    This is an aphorism whose origin is credited to Richard Feynman. In his book, Surely You're Joking, Mr. Feynman !, published in 1985, he tells the story of one of his conferences on the nature of the universe, where he was challenged by someone in the audience, saying that the universe rests on a turtle. Feynman asked then what the turtle is resting on, and the answer was: "another bigger turtle".



  • Arrays in Java

    Arrays in Java are fundamental data structures used to store elements of the same type sequentially in memory. They provide a convenient way to manage collections of data where each element is accessed by its index.

    Basics of Arrays

    An array in Java is a fixed-size container that holds a specific number of elements of the same data type. This means all elements in an array must be of the same type such as integers (int), floating-point numbers (double), characters (char) or objects (Object).



  • Building a Config-Driven SOAP/REST Integration Layer: One Service, Many Protocols

    If you've spent time in enterprise integration, you know the pattern: your platform needs to talk to dozens (sometimes hundreds) of external partner systems, and none of them agree on how they want to be talked to. Some expect SOAP envelopes. Others have moved to REST/JSON. Some want Basic Auth, others OAuth, others a bespoke token scheme. Multiply that by data formats that differ subtly — different XML schemas, different field names, different nesting — and you have a classic integration headache.

    Back in 2019, I inherited a service in exactly this position. It was a .NET-based SOAP web service acting as a middleware layer: a caller would hit our service, our service would reach out to a customer's web service, retrieve the data, and hand a response back to the original caller. Request and response payloads were transformed using XSLT, with a distinct transformation mapped to each customer's expected schema.



 
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