The proliferation of microservices architectures reflects the needs of modern business. Faster time-to-market, stack flexibility, and better scalability and resilience—each key prerequisites for AI ...

Microservices have become a widely adopted architectural pattern that transforms how applications are designed, built and deployed. By breaking down large applications into smaller, independent ...

“Cloud-native” gets attached to almost everything, which makes it nearly meaningless without a real definition. This page gives one, explains how Kubernetes, containers, and microservices fit together ...

In many organizations, microservices have become the default method of application building and deployment, leveraging containers and Kubernetes. The resulting architecture has been a flexible network ...

Complex architectures like microservices lead to complex dependency relationships among applications, services and software components. Unless architects and developers have a clear dependency ...

Leading organizations understand the benefits they can gain by migrating existing apps to a microservices architecture and adopting the approach for new builds. However, there are inherent challenges ...

The idea of "unbundling" the database and replacing it with an event log such as Apache Kafka is appealing, but in practice fails to realize its goals. Rather than replacing a fundamental component ...

Microservices came in with a great deal of momentum a few years ago, but now we’re seeing their drawbacks for applications on cloud platforms. A microservices architecture for application development ...

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Online apps back in the day ran on a monolithic structure. All the code was centralized in a single application. However, as apps steadily grew more complex, they became bigger and more difficult to ...