As microservices scale in complexity, debugging issues across multiple services becomes increasingly difficult. Traditional logging falls short when tracking a request across boundaries. This is where distributed tracing plays a crucial role. In this blog, we’ll explore how to implement Read more…
As businesses scale and serve multiple customers, building multi-tenant applications becomes a core architectural need. A multi-tenant application is designed to serve more than one client (tenant), while maintaining data isolation, security, and performance efficiency. In this blog, we explore Read more…
APIs form the backbone of modern software systems. Whether you’re building a monolithic application or distributed microservices, choosing the right API style can significantly affect maintainability, scalability, and development velocity. Among the leading approaches are REST and GraphQL, each with Read more…
In modern cloud-native applications, managing secrets such as API keys, database credentials, and configuration properties securely is critical. Hardcoding secrets or storing them in plain text config files is risky and violates best practices for security and compliance. This post Read more…
Modern distributed systems must be resilient in the face of network failures, service downtime, and unpredictable latencies. As microservices architecture becomes the standard, building systems that can gracefully handle such failures is not just a feature—it’s a requirement. Resilience4j, a Read more…
As applications scale in complexity and volume, traditional request-response models often fall short in terms of responsiveness, decoupling, and scalability. Event-driven architecture (EDA) has emerged as a powerful paradigm to address these challenges, enabling reactive, resilient, and loosely coupled systems. Read more…
In modern web applications, performance plays a pivotal role in user experience and scalability. One of the most effective yet often overlooked strategies for improving performance in Spring Boot applications is caching. By avoiding repeated computations and database hits for Read more…
When developing high-performance Java applications, it’s not enough for the code to work—it must also work efficiently. Identifying performance bottlenecks, optimizing memory usage, and reducing response times are all key to delivering robust, scalable systems. This is where benchmarking and Read more…
Since the release of Java 8, the language has undergone a major shift towards functional programming. Two of the most important features that enable this transition are functional interfaces and lambda expressions. These features allow developers to write cleaner, more Read more…
One of the most dreaded runtime errors in Java is the infamous NullPointerException (NPE). While defensive coding and null checks can help, they often lead to cluttered and error-prone code. Introduced in Java 8, Optional<T> is a powerful and expressive Read more…
