Introduction High concurrency has always been one of Java’s strongest use cases—and one of its toughest challenges. For years, Java developers have relied on thread pools, asynchronous frameworks, and reactive programming models to scale systems efficiently. While these approaches work, they often introduce complexity that makes systems harder to reason Read more
Introduction As cloud adoption matures, Java teams are facing a new challenge. While infrastructure is more powerful and flexible than ever, developers are often slowed down by fragmented tooling, inconsistent environments, and operational complexity. Simply “using the cloud” is no longer enough. This is where Platform Engineering comes into play. Read more
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
Choosing the right database service is one of the most critical decisions when designing a cloud-native application. AWS offers a variety of purpose-built databases that cater to different performance, scalability, cost, and operational requirements. Among the most widely adopted options are Amazon RDS, Amazon Aurora, Amazon DynamoDB, and Amazon DocumentDB. 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
Legacy Java systems often represent years of enhancements, quick fixes, shifting business priorities, and evolving technology stacks. While these systems continue to deliver critical value, they also accumulate technical debt — making development slower, riskier, and expensive over time. A systematic technical debt assessment helps organizations identify hidden inefficiencies, prioritize Read more
What is 2FA? Two-Factor Authentication involves combining two different categories of identity evidence: Factor Type Examples Knowledge Password, PIN, security questions Possession OTP app, SMS code, hardware key (FIDO2, YubiKey) Inherence Face/voice recognition, fingerprints Why 2FA for Java Applications? Java systems frequently support: Payment transactions Profile and personal data management Read more
Zero Trust Architecture (ZTA) has become a fundamental approach for securing modern applications where users, services, and data are distributed across hybrid and cloud environments. Traditional perimeter-based security models are no longer sufficient as threats can originate from both outside and within an organization’s network. Zero Trust enforces the principle 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
