The rapid rise of Internet of Things (IoT) devices and real-time processing demands has shifted computation closer to the data source — at the edge. Java, with its strong ecosystem, platform independence, and mature tooling, continues to be a powerful choice for developing distributed, secure, and scalable IoT solutions. Designing Read more
Building modern applications inevitably means distributing components across multiple services and data stores. With microservices, cloud-native architectures, and globally distributed systems, strong consistency becomes difficult and expensive to maintain at scale. This is where eventual consistency emerges as a practical and scalable solution. In this article, we’ll explore how eventual Read more
In the era of distributed systems, microservices introduce agility and scalability — but they also dramatically increase complexity in tracking user actions and system changes. Audit logging plays a crucial role in ensuring traceability, accountability, and compliance with regulations such as GDPR, HIPAA, PCI-DSS, SOX, and ISO 27001. In this Read more
As modern systems continue to embrace microservices, public APIs, and high-volume traffic, controlling how consumers access APIs becomes critical. Without proper rate limiting, even a single misbehaving client can overwhelm your application—leading to degraded performance, increased latency, and potential downtime. Rate limiting and throttling safeguard your APIs by controlling the Read more
Modern distributed systems rely heavily on asynchronous communication to maintain resilience, scalability, and fault isolation. AWS offers two widely adopted managed messaging services—Amazon Simple Queue Service (SQS) and Amazon Simple Notification Service (SNS)—that simplify building event-driven architectures in Java applications. SNS enables pub/sub messaging with multiple subscribers, while SQS provides Read more
Introduction Modern microservices-based architectures rely heavily on observability to ensure applications perform reliably at scale.For Java applications running on Kubernetes, Prometheus and Grafana are the standard tools for monitoring and visualization. Together, they offer a flexible system for collecting, storing, and analyzing metrics — allowing developers to detect issues before Read more
Introduction In modern cloud-native architectures, microservices have become the preferred style for building scalable, resilient, and independently deployable applications. However, this architectural model introduces dynamism and distribution: services may scale up or down, move between hosts or containers, and network addresses may change. In this context, service discovery emerges as Read more
Managing memory effectively is at the core of writing performant and scalable Java applications. Whether you’re tuning JVM settings, debugging OutOfMemoryErrors, or simply trying to understand how Java handles objects behind the scenes, having a solid grasp on memory management is vital Managing memory effectively is at the core of Read more
Building a CI/CD Pipeline for Java Applications with Jenkins and AWS CodePipeline Continuous Integration and Continuous Deployment (CI/CD) are essential for delivering software reliably and rapidly. In this guide, we’ll build a professional CI/CD pipeline for a Java application using Jenkins and AWS CodePipeline. By combining Jenkins’s flexibility with AWS CodePipeline’s managed delivery Read more
Introduction In today’s cloud-native world, container orchestration has become an essential skill for developers, especially Java developers working on microservices and scalable backend systems. Kubernetes is the de facto standard for container orchestration, enabling teams to automate deployment, scaling, and management of applications. This blog post aims to bridge the Read more
