Software Architecture
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Insights for tech leaders on making the right software architecture decisions, covering monoliths, microservices, migration strategies, cloud models, and long-term scalability.
ARTICLES IN THIS COLLECTION
The way you structure your systems impacts time-to-market, scalability, hiring, innovation velocity, and even business risk.
Monolith or microservices? AWS or a hybrid cloud approach? Modularization or full decomposition? These questions don’t have one-size-fits-all answers - and making the wrong call early can be costly down the line.
This article collection brings clarity to architectural trade-offs, helping CTOs, tech leads, and engineering managers make informed, future-proof decisions.
In some cases, a monolith is the better architectural choice - especially when working with small teams, well-defined domains, or time-sensitive projects. Not every product needs the complexity of service meshes and container orchestration.
When a Monolith Is Better Than Microservices challenges the assumption that microservices are always the modern choice and shows where monoliths actually provide higher agility and lower risk.
Somewhere between the simplicity of monoliths and the flexibility of microservices lies the modular monolith - a pattern that offers both maintainability and delivery speed without the operational overhead of distributed systems.
Modular Monolith Architecture explains how to structure your codebase into logical boundaries without splitting it into separately deployed services - ideal for startups and scaling teams alike.
Should you start with a monolith or jump straight into microservices? That’s one of the most misunderstood and consequential questions in software architecture.
In Microservices vs Monolith: Which to Use When, you’ll get a breakdown of the real trade-offs - based on team size, product maturity, domain complexity, and deployment needs.
It sets the foundation for understanding that architecture is a spectrum, not a binary choice.
Microservices promise independence and agility - but they also introduce hidden complexity. Teams often underestimate the tooling, orchestration, and observability required to keep a distributed system healthy.
In Technical Debt in Microservices, you’ll learn how to spot the early warning signs, avoid over-engineering, and adopt patterns like service contracts and cross-team governance to maintain architectural integrity.
Migrating from a monolith to microservices doesn’t have to be a “big bang” rewrite. The strangler pattern offers a way to iteratively extract services while maintaining stability and delivering value incrementally.
Monolith to Microservices Using the Strangler Pattern provides a step-by-step strategy to reduce migration risk, increase confidence, and build migration logic into your delivery process.
Beyond your code structure, your infrastructure architecture plays a huge role in scalability, cost optimization, and time-to-market. Whether you’re building SaaS products, serverless APIs, or XaaS platforms, understanding the cloud models is essential.
Cloud Architecture: SaaS, FaaS, XaaS Explained unpacks the pros and cons of each approach and when to use them - perfect for CTOs building cloud-native platforms.
If your infrastructure is cloud-based, chances are you’re using AWS - or considering it. But the breadth of services can be overwhelming.
What Is Amazon Web Services offers a clear overview of key AWS services used in software architecture, from compute to storage to networking, giving leaders a vocabulary and framework to make smart cloud decisions.
This collection offers a complete view of architecture as a strategic enabler, helping you:
It’s ideal for leaders who want to build resilient, performant, and evolvable systems—not just technically, but organizationally.
