Docker and Podman orchestration, limitation and emergence of Kubernetes

Continuation from here . Here’s the summary. To optimize a data center, effective control over computing resources is essential, and containers are vital for this. They encapsulate applications with all necessary components, allowing them to run on any server that supports containers. This on-demand operation aligns with serverless architecture, enabling resource allocation efficiently to balance… Continue reading Docker and Podman orchestration, limitation and emergence of Kubernetes

MicroService concept, philosophy and ML importance

Continuation from here. In that article, I explored how a microservice-based solution can address several limitations of serverless computing. For instance, AWS Lambda’s time limit for running long tasks can be mitigated by moving to containerized solutions. In this article, I’ll dive deeper into the microservice concept and explain why it’s crucial for enabling true… Continue reading MicroService concept, philosophy and ML importance

Serverless Computing and AI/ML — Balancing Performance, Cost, and Sustainability

In this post, I’d like to share some thoughts on serverless computing, especially in the context of AI/ML. I’ve kept the content light on technical jargon so it’s easier to follow, even if you’re not deeply familiar with these concepts. Feel free to comment and share your thoughts! Running powerful computing systems isn’t just about… Continue reading Serverless Computing and AI/ML — Balancing Performance, Cost, and Sustainability