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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.
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- Scaling AI Workloads in Java Without Breaking Your APIs
As AI inference moves from prototype to production, Java services must handle high-concurrency workloads without disrupting existing APIs. This article examines patterns for scaling AI model serving in Java while preserving API contracts. Here, we compare synchronous and asynchronous approaches, including modern virtual threads and reactive streams, and discuss when to use in-process JNI/FFM calls versus network calls, gRPC/REST. We also present concrete guidelines for API versioning, timeouts, circuit breakers, bulkheads, rate limiting, graceful degradation, and observability using tools like Resilience4j, Micrometer, and OpenTelemetry.
Detailed Java code examples illustrate each pattern from a blocking wrapper with a thread pool and queue to a non-blocking implementation using CompletableFuture and virtual threads to a Reactor-based example. We also show a gRPC client/server stub, a batching implementation, Resilience4j integration, and Micrometer/OpenTelemetry instrumentation, as well as performance considerations and deployment best practices. Finally, we offer a benchmarking strategy and a migration checklist with anti-patterns to avoid.
- Taming the JVM Latency Monster
An Architect's Guide to 100GB+ Heaps in the Era of Agency
In the "Chat Phase" of AI, we could afford a few seconds of lag while a model hallucinated a response. But as we transition into the Integration Renaissance — an era defined by autonomous agents that must Plan -> Execute -> Reflect — latency is no longer just a performance metric; it is a governance failure.
When your autonomous agent mesh is responsible for settling a €5M intercompany invoice or triggering a supply chain move, a multi-second "Stop-the-World" (STW) garbage collection (GC) pause doesn't just slow down the application; it breaks the deterministic orchestration required for enterprise trust. For an integrator operating on modern Java virtual machines (JVMs), the challenge is clear: how do we manage mountains of data without the latency spikes that torpedo agentic workflows? The answer lies in the current triumvirate of advanced OpenJDK garbage collectors: G1, Shenandoah, and ZGC.
- Automating Maven Dependency Upgrades Using AI
Enterprise Java applications do not often break due to business logic. The reason they break is that dependency ecosystems evolve all the time. Manual maintenance in most large systems consists of hundreds of third-party libraries, and small upgrades occur regularly as a result of security patches, code corrections, or vendor advice. The problem is not recognizing outdated libraries. Tools such as OWASP Dependency-Check, Snyk, and Black Duck already do it well.
The problem is a wastage of the developer's time in repetitive actions: checking Maven Central for the latest versions, validating whether the upgrade is safe, reading release notes, guessing what test cases should be executed, and raising a pull request with meaningful documentation.
- Data Driven API Testing in Java With REST Assured and TestNG: Part 4
APIs are at the heart of almost every application, and even small issues can have a big impact. Data-driven API testing with JSON files using REST Assured and TestNG makes it easier to validate multiple scenarios without rewriting the same tests again and again. By separating test logic from test data, we can build cleaner, flexible, and more scalable automation suites.
In this article, we’ll walk through a practical, beginner-friendly approach to writing API automation tests with REST Assured and TestNG using JSON files as the data provider.
- Data-Driven API Testing in Java With REST Assured and TestNG: Part 3
Data-driven testing enables testers to execute the same test logic with multiple sets of input data, improving coverage and reliability with minimal effort. By combining CSV files with TestNG’s @DataProvider annotation, test data can be easily separated from the test logic. This approach enables maintainability and makes test automation more scalable and flexible.
This article explains how to implement data-driven testing with CSV files and TestNG in a clear, practical, and easy-to-follow manner.
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