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Code2Java bridges the gap between theory and real-world backend development. Every article is based on production experience and real engineering challenges.
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Understanding Micro Services – Part 15 – Internal Service Communication Problem
Service Mesh — Why Internal Service Communication Becomes a Platform Problem As organizations adopt microservices, they often focus on the benefits that come from decomposing large applications into smaller, independently deployable services. Teams gain autonomy, deployments become faster, and individual services can evolve at their own pace. During the early stages of this journey, communication…
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Understanding Micro Services – Part 14 – API Gateways in Microservices
Part 14: API Gateway — Why Every Distributed System Eventually Needs One As organizations move from monolithic applications to microservices, they usually focus on breaking functionality into independent services. Teams separate orders, payments, inventory, notifications, user management, and dozens of other capabilities into independently deployable components. Initially, this architectural transformation feels like progress because services…
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Understanding Micro Services – Part 13 – Why Distributed Systems Become Invisible
Observability in Microservices — Why Distributed Systems Become Invisible Without It One of the most interesting things that happens during a microservices transformation is that engineering teams often become more successful at building systems while simultaneously becoming less capable of understanding them. At first, this sounds contradictory. Organizations invest in microservices to improve scalability, accelerate…
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Understanding Micro Services – Part 12 – Communication Within Distributed System
Event-Driven Architecture — How Distributed Systems Communicate at Scale When teams first move from monoliths to microservices, communication usually starts with synchronous REST APIs. It feels natural because it closely resembles how applications behaved before the migration. One service sends a request, waits for a response, and then continues processing. Initially, this model appears simple,…
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Understanding Micro Services – Part 11 – Security In Microserices
Security in Microservices — Why Security Becomes Harder in Distributed Systems 1. Why Security Changes Completely in Distributed Systems Security inside monolithic applications is usually concentrated around a few controlled entry points. Most communication happens internally within the same runtime process, which naturally limits exposure. Teams primarily focus on securing external APIs, authentication layers, and…
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Understanding Micro Services – Part 10 – Operational Reality of Running Distributed Systems
Kubernetes & Runtime Orchestration — What Actually Runs Microservices in Production 1. Why Microservices Eventually Need Orchestration When organizations first move from monoliths to microservices, most of the focus stays on application architecture. Teams spend time designing service boundaries, APIs, communication patterns, and deployment pipelines. Initially, this feels manageable because the number of services is…