Docker is a container platform that lets you package applications with their dependencies and run them on a single machine. Here’s how it works

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Docker packages applications with dependencies into containers that run on a single machine, while Kubernetes orchestrates containers across multiple machines for scalability and resilience. Docker uses a simple workflow from Dockerfile to container runtime, whereas Kubernetes adds master nodes, worker nodes, and Pods for distributed, self-healing deployments. Additional topics covered include batch versus stream processing, modular monoliths as an architectural pattern combining monolith simplicity with microservices flexibility, process versus thread differences, and how AI agents chain reasoning, tools, and memory.

EP185: Docker vs Kubernetes

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Popular interview question: What is the difference between Process and Thread?

How AI Agents Chain Tools, Memory, and Reasoning?

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<p>It was never a “versus”. It was always about having the right tool for the right job. ;)</p>
