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Scaling Python Web Applications With Kubernetes and Karpenter

The Real Python Podcast

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Mastering Workload Management in Kubernetes

This chapter explores the intricacies of managing workloads in Kubernetes, focusing on custom metrics, operators, and the interaction between applications and the control plane for dynamic resource optimization. It highlights the importance of performance tuning in Django applications, efficient caching with Redis, and the architecture of deploying applications through dedicated pods. Additionally, the discussion covers tools like Carpenter for resource management, local development alternatives to Docker, and the use of containers for maintaining consistent environments in Python web development.

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