Category App Architecture

In my previous article, I discussed five best practices for managing configurations in cloud-native applications. This article expands those recommendations by giving strategies for how to manage large scale configuration systems for large modern applications.

Software architects hold a unique and influential position in the product development lifecycle, guiding technical decisions that shape the product's future.

Ready to pull the ripcord on VMWare? On Nov 6, join my friends over at CAST and AWS to learn how software intelligence can speed up and derisk the move to best-fit cloud services. Register today!

In world of software development, the role of a software architect often appears to stand at the top of the technical leadership ladder. With that responsibility comes an even greater need for continuous learning and adaptation. As someone who's spent years in the trenches of cloud architecture, I can tell you that the moment you stop learning is the moment you start becoming obsolete.

As the world of software development continues to evolve at a rapid pace, organizations are increasingly turning to tools such as Kubernetes to deploy, scale, and manage their containerized applications. Kubernetes and containers have, in particular, revolutionized how we build and deploy applications, but with this power comes the responsibility of ensuring our systems' health, performance, and reliability. This is where effective monitoring comes into play.

The world of artificial intelligence (AI) is undergoing a profound transformation, and at the heart of this change is the rise of open-source AI models. According to Stanford University's AI Index report for 2024, a remarkable 65.7% of the 149 foundation models released in 2023 were open-source, up from 44.4% in 2022 and 33.3% in 2021. This shift towards open-source AI is not just a passing trend; it's a movement that is redefining the very nature of AI development and deployment.

In the dynamic world of software development, complexity is often viewed as the arch-nemesis of productivity and efficiency. Yet, here lies the paradox: embracing complexity can actually pave the way to simplicity.

Don’t be fooled into thinking your site is highly available when it isn’t.

Your application is large. You have many customers, and they make good use of your many features and capabilities. You have a large catalog of products, and your store is big and feature-rich. You are doing well.

First, there was DevOps. Then, ModernOps and CloudOps. Now, there is ScaryOps.

​Low code has received a lot of press recently. There seems to be quite a debate about whether the use of low code makes the application development process better or if it interferes with the development process, resulting in inferior applications.

In the fast-paced world of software development, buzzwords and trends often dominate discussions around application architecture. One term that has garnered significant attention and, at times, confusion is microservice. 

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of modern application architecture.

Software Architecture Insights is a regular newsletter providing insights into architecting your modern applications at scale. Modern digital businesses continually struggle with building new and innovative applications that also maintain high availability at cloud-scale.