Microservices

Serverless Architecture vs. Containerization (Kubernetes): A TCO Analysis for AI Workloads

by
Graphic illustrating AI inference latency differences between Kubernetes and Serverless scaling

The Infrastructure Dilemma: Optimizing Cost and Scale for Modern Machine Learning   The shift from monolithic applications to microservices has given rise to two dominant paradigms for modern application deployment: Serverless Architecture (e.g., AWS Lambda, Azure Functions, Google Cloud Functions) and Containerization managed by orchestrators like Kubernetes (K8s). While both offer flexibility and scalability, the … Read more

Microservice Architecture vs. Monolith: When to Choose Which for Your AI Deployment

by
A clear visual timeline or flow chart illustrating the path from a Monolith (MVP stage) to Microservices (Growth stage), representing the best AI Deployment Strategy and Software Architecture Choice

The Fundamental Trade-Off: Simplicity vs. Scalability in AI   For technology leaders and developers building cutting-edge applications, the architectural decision between a Monolith and Microservices is one of the most critical choices, especially when deploying complex AI Deployment systems. The choice hinges on a fundamental trade-off: Monoliths optimize for speed, simplicity, and low initial cost, … Read more