Srimanta Sahu

👋 Hi, I'm Srimanta Sahu — a Senior Software Engineer and the creator of OopsCoder.com. With over 12 years of experience in Java full-stack development, I specialize in designing and building scalable, high-performance backend systems and distributed architectures, tackling real-world system design challenges with practical, efficient solutions.At OopsCoder, I publish deep-dive tutorials, hands-on code examples, and architectural insights across topics like Java, Spring Framework, System Design, Data Structures & Algorithms (DSA), Concurrency, and JVM performance tuning—content crafted for developers and engineering teams who want to go beyond surface-level understanding.🔗 Connect with me on LinkedIn

System Design Deep Dive: Architecture Principles, Patterns & Scalability

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Designing scalable, maintainable, and high-performance systems takes more than just clean code—it requires a strong grasp of architecture, trade-offs, and real-world constraints. This System Design Deep Dive series is your structured roadmap to mastering modern system architecture. Whether you’re preparing… Continue reading `System Design Deep Dive`

Spring Framework in Java: The Complete Guide for Developers

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The Spring Framework is the backbone of modern Java development. From building robust web applications to creating scalable microservices, Spring empowers developers with tools that promote clean architecture, testability, and modular design. In this complete guide, we’ll walk through everything… Continue reading `Spring Framework in Java`

Mastering Java Concurrency: The Complete Guide With Examples

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Mastering Java concurrency is essential for building high-performance, scalable, and responsive applications. In modern development, concurrency enables Java programs to execute multiple tasks simultaneously—maximizing CPU utilization and ensuring smooth user experiences. In this complete guide, we’ll dive deep into Java… Continue reading `Mastering Java Concurrency`

Data Structures in Java: The Complete Guide with Examples

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Data structures are the backbone of efficient programming. Whether you’re handling large datasets, optimizing performance, or preparing for coding interviews, understanding Java’s built-in and custom data structures is essential. In this guide, we’ll explore all significant data structures in Java,… Continue reading `Data Structures in Java`

Algorithms in Java: The Complete Guide with Examples

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Algorithms are the heart of problem-solving in programming. Whether you’re preparing for coding interviews, optimizing software performance, or working on real-world applications, understanding algorithms in Java is essential. In this guide, you’ll learn: ✔️ The most important algorithms in Java ✔️ Working… Continue reading `Algorithms in Java`

System Design Deep Dive – Part 1: Foundational Principles for Scalable Systems

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Designing reliable, scalable systems goes beyond coding—it starts with strong architectural foundations. In this first part of the System Design Deep Dive series, we explore the key principles that shape robust software architecture: SOLID Principles for object-oriented maintainability ACID Compliance… Continue reading `System Design Deep Dive – Part 1`

System Design Deep Dive – Part 2: Designing and Estimating Real-World Systems

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Designing scalable, reliable systems isn’t just about writing code or picking the right tools. It’s about making thoughtful decisions at every layer of the architecture—from the initial idea to detailed class structures. In this second part of the System Design… Continue reading `System Design Deep Dive – Part 2`

System Design Deep Dive – Part 3: Scaling Infrastructure and Distributed Systems

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Designing systems that scale across geographies, workloads, and services is at the core of modern software architecture. In this third part of the System Design Deep Dive series, we explore the infrastructure-level strategies and distributed systems patterns that empower you… Continue reading `System Design Deep Dive – Part 3`