As organizations continue to modernize applications using microservices, containers, and managed cloud services, the attack surface expands significantly. Cloud-native Java applications—running on platforms such as Kubernetes, AWS, Azure, and GCP—must embed security directly into the development lifecycle rather than bolting it on later. Secure coding is not just about preventing 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
Managing cloud cost efficiency is no longer optional—it is a core architectural responsibility. As organizations move deeper into AWS, the focus shifts from simply deploying infrastructure to doing so in a cost-efficient, predictable, and measurable way. Cost-aware architecture ensures that engineering teams maintain visibility, accountability, and control over spending without 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 Infrastructure as Code (IaC) has transformed the way software is delivered. Instead of manually configuring servers and cloud services, developers can define their infrastructure in version‑controlled code, which makes deployments consistent, repeatable and auditable. Java developers, who often work on complex enterprise systems, can benefit tremendously from adopting IaC 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
Introduction In today’s fast‑moving digital world, microservices architectures demand frequent updates without interrupting service availability. Zero downtime deployments are essential for mission‑critical systems—such as banking, e‑commerce, and high‑traffic consumer apps—to ensure customer trust and operational resilience. This article explores two established strategies—Blue/Green and Canary deployments—along with technical considerations, pipeline integration, Read more
In microservices architecture, services often evolve independently. Over time, this leads to changes in data contracts—commonly referred to as schema evolution. If not handled carefully, even minor schema changes can break inter-service communication, leading to data loss, runtime errors, or system outages. This article explores how to safely manage schema Read more
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 distributed tracing in Java microservices using OpenTelemetry, an open-source observability 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 the strategies and implementation techniques to build multi-tenant applications using Read more
