Ashutosh Patil’s Post

I found a benchmark that compares MCP servers in #Java, #Golang, #Nodejs , and #Python. I wanted to see where Rust would place in the comparison. I decided to take the code, add a new server in Rust using Claude, and spend more time than I expected figuring out why the numbers didn’t seem to add up. Three infrastructure issues, all mine. And then there was the Rosetta emulation issue, which added 2x latency because I had the containers running as x86 instead of native Apple Silicon. And finally, there’s the SDK issue in the dispatch path of the rmcp tool that I don’t fully understand. But after rebuilding everything as native ARM64, using the 50 VU configuration, here are the numbers: Server  | RPS   | p95   | CPU | RAM #Java   | 5,579 | 12.3ms | 97%  | 207MB #Go    | 5,407 | 13.4ms | 99% | 12MB #Rust   | 4,806 | 41.8ms | 46% | 10MB It turns out that the initialize handshake in Rust is actually the fastest of the three, coming in at 2.87ms, while the Golang version comes in at 9.10ms. But every tool call is subject to a 42ms ceiling no matter what it does. And while the server is hungry for more work, the CPUs are only at 46% utilization, while Golang and Java are at 98-99% utilization. And the memory profile is interesting, coming in at 10MB while serving at 4,806 RPS. Golang is at 12MB, while Java is at 207MB. I don’t know all the answers, but there is obviously more to learn here, including allocator tuning, build flags, SDK maturity, etc. And to be honest, none of these really matter because, in most cases, the bottleneck is the LLM, not the MCP server. And based upon all of the other benchmarks, Rust is generally a lean, mean serving machine. And that’s true here, even if not all of the numbers are perfect. Check out my fork here: https://lnkd.in/eiFm_cCH Original article is here: https://lnkd.in/ew6CY38J Full story is here: https://lnkd.in/e5_pbj2W #rust #mcp #vibecoding #benchmark #aiagents

This is a common mantra for the Quarkusio team, if we are not offering top performance, then this is most likely a bug that the team will be eager to fix. As expected, Quarkusio/MCP on JVM outperforms pretty much everything but Rust (but really close with Rust and with better latency), including all variations of Spring. Quarkusio/MCP native (compiled with GraalVM) outperforms *all* Java compiled to native implementations and almost as good as the other JVM implementations, at a fraction (1/5th to 1/10th) of their memory usage. Bun/Node/Python at the bottom, again, no surprise there. The optimized reactive core of Quarkus (along with the superior build time optimization architecture) that help yield those wonderful results *does not* require the developer to know about reactive programming, as this is an implementation detail, accessible to those that want to tinker with it. Most developers only ever see the blocking APIs that sit on top of the reactive core. That's another common misconception around Quarkus. So, if you want to implement a high performing MCP server, you know where to look. Thanks to TM Dev Lab for the comprehensive v2 benchmark! https://lnkd.in/eewieh3y /Dimitris

🚀 Spring Boot Annotations Cheat Sheet for Developers While working with Spring Boot, annotations play a crucial role in simplifying configuration, dependency injection, REST APIs, and database interactions. ⚙️ Here is a quick cheat sheet of commonly used Spring Boot annotations that every backend developer should know. 📚 This can be useful for interview preparation, quick revision, or day-to-day development. 👨💻 📌 Covers key annotations across: ⚙️ Core Spring Boot configuration 🌐 REST API development 🧩 Dependency Injection 🗄️ JPA & Database operations 📨 Request handling 💡 Having these annotations at your fingertips can significantly speed up development and improve code readability. Sharing this as a quick reference for fellow developers. Hope it helps! 🙌 #SpringBoot #Java #BackendDevelopment #JavaDeveloper #SoftwareEngineering #FullStackDeveloper #RESTAPI #JPA #Hibernate #Programming #Coding #TechTips #Developers

Most people think backend development is just about building APIs. But after working with Java, Spring Boot, and Node.js, I’ve learned that the difference between a fragile app and a robust system lies in the fundamentals we often overlook. Writing an endpoint is easy. Designing a reliable service is the real engineering challenge. Strong backend systems are built on: - Data modeling before coding (Measure twice, cut once) - Defensive coding (Proper exception handling & logging) - Database indexing (The silent performance killer if ignored) - Stateless authentication (JWT for true scalability) - Designing for failure, not just the "happy path" A small change like adding a composite index or handling a specific edge case can dramatically improve system stability. I'm currently deepening my focus on backend reliability while completing my MS in Information Technology at the University of Cincinnati. 👇 What’s one backend principle you think gets overlooked too often? #BackendDevelopment #Java #SpringBoot #SystemDesign #SoftwareEngineering #UniversityOfCincinnati

Production systems don’t fail due to a single dramatic bug. Instead, failures can occur from various subtle issues, including: - One API slowing down - Threads getting blocked - GC pauses spiking - Uneven traffic distribution - Retrying requests creating storms I have shared insights on debugging these types of issues in JVM and Spring Boot systems, emphasizing how defensive design can help prevent outages. Read more about my experiences here: https://lnkd.in/eegWsdHz #DistributedSystems #Java #SpringBoot #BackendEngineering

🚀 Today’s Backend Learning Update — Spring Security Basics 🔐 Today I explored some core concepts of Spring Security while building my backend fundamentals in Java & Spring Boot. Here’s what I learned 👇 ✅ In-Memory Authentication → How Spring Security stores users temporarily for testing and learning setups. ✅ Basic Authentication → Understanding stateless authentication using Authorization headers — useful for REST APIs and Postman testing. ✅ Form-Based Authentication → Login flow with sessions and cookies, and how Spring Security handles authentication automatically. ✅ Default Behaviour of Spring Security → Auto-generated login page, secured endpoints by default, CSRF protection, and session management. What I realized today: Security is not just about login — it’s about understanding how requests flow through filters and how authentication works internally. Next step ➡️ Authorization rules & JWT implementation. If you’re also learning backend development or Spring Boot, let’s connect and grow together 🤝 #Java #SpringBoot #SpringSecurity #BackendDevelopment #LearningInPublic #SoftwareEngineering

☀️ Afternoon Tech Thought In modern backend development, writing code is easy. Designing scalable, resilient microservices is the real skill. With Java + Spring Boot, focus on: ✔️ Clean architecture ✔️ Proper exception handling ✔️ Logging & monitoring ✔️ RESTful best practices ✔️ Database indexing & query optimization Performance isn’t just about fast code — it’s about smart design. Keep building. Keep improving. 🚀 #Java #SpringBoot #Microservices #BackendDevelopment #SoftwareEngineering

🔄 How Does Bean Lifecycle Work in Spring Boot? While learning Spring Boot deeply, I explored how a bean is created and managed internally. Here’s the simplified lifecycle: 1️⃣ Bean Instantiation Spring creates the object (bean) using constructor. 2️⃣ Dependency Injection Required dependencies are injected using @Autowired (or constructor injection). 3️⃣ Bean Initialization If methods are annotated with @PostConstruct, they are executed after dependencies are set. 4️⃣ Bean Ready for Use The bean is now available inside the IoC container. 5️⃣ Bean Destruction When the application shuts down, methods annotated with @PreDestroy are executed. 💡 Important: Spring manages the complete lifecycle — from creation to destruction. This is why Spring applications are clean, maintainable, and loosely coupled. Understanding internals makes backend development stronger 💻 #SpringBoot #Java #BackendDeveloper #BeanLifecycle #LearningInPublic

🚀 Spring Boot Annotations Cheat Sheet for Developers While working with Spring Boot, annotations play a crucial role in simplifying configuration, dependency injection, REST APIs, and database interactions. Here is the quick cheat sheet of commonly used Spring Boot annotations that every backend developer should know. This can be useful for interview preparation, quick revision, or day-to-day development. Covers key annotations across: 🔹Core Spring Boot configuration 🔹REST API development 🔹Dependency Injection 🔹JPA & Database operations 🔹Request handling Having these annotations at your fingertips can significantly speed up development and improve code readability. Sharing this as a quick reference for fellow developers. Hope it helps! 💡 If you find it useful, feel free to save or share it with your network. #SpringBoot #Java #BackendDevelopment #FullStackDevelopment #JavaDeveloper #SpringFramework #SoftwareEngineering #CodingTips #DeveloperResources #TechLearning #InterviewPreparation

🚀 Spring Boot Developers — Strengthen Your Fundamentals I’m sharing a powerful set of Spring Boot Notes (2025 Edition) that I recently came across — and it’s one of the most well-structured breakdowns of Spring fundamentals I’ve seen. This isn’t just about using annotations. It explains the why behind Spring. Here’s what it covers 👇 🔹 Spring Ecosystem (Core, Boot, Data, Security) 🔹 IoC & Dependency Injection (Hollywood Principle explained clearly) 🔹 BeanFactory vs ApplicationContext 🔹 Bean lifecycle (@PostConstruct, @PreDestroy) 🔹 @Primary vs @Qualifier conflict resolution 🔹 Maven mastery (GAV, scopes, lifecycle, effective POM, mvnw) 🔹 Bean scopes (Singleton vs Prototype — common interview trap) 🔹 Prototype inside Singleton problem + ObjectProvider solution 🔹 AOP fundamentals (all 5 advice types + pointcuts) 🔹 Spring MVC architecture & DispatcherServlet 🔹 Auto-configuration magic in Spring Boot 🔹 Lombok best practices (and when not to use @Data) 🔹 @RequestParam vs @PathVariable 🔹 Input validation using JSR-380 (Hibernate Validator) And this is just the foundational part — the PDF continues with advanced production-ready topics. In today’s AI-driven market, frameworks are easy. Understanding architecture and fundamentals is rare. Anyone can generate Spring code. Few truly understand how the container works. If you're serious about becoming a stronger Java backend engineer, this resource is worth studying. Let me know in the comments what Spring topic you’re currently learning 👇 #Java #SpringBoot #BackendDevelopment #SoftwareEngineering #TechCareer