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Scaling Python Web Applications With Kubernetes and Karpenter

The Real Python Podcast

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Optimizing Deployment and Observability in Kubernetes

This chapter explores the benefits of a structured deployment process for client projects, emphasizing a shared methodology for collaboration. It discusses tools for load testing and observability, including Locust, Grafana, and Prometheus, highlighting their roles in monitoring application performance. Additionally, the chapter covers strategies for optimizing Kubernetes deployments and dynamic scaling techniques using Karpenter to efficiently manage resources under varying loads.

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