The article discusses best practices for maintaining PostgreSQL in Python applications to prevent performance dips, highlighting the importance of monitoring slow queries and ensuring proper index management. It also features insights from Calvin Hendryx-Parker on utilizing Kubernetes and Karpenter for autoscaling web applications, emphasizing the relevance of real-world performance metrics over theoretical Big-O complexities. Additional resources for developing DevOps skills in the Python community are outlined, demonstrating ongoing educational opportunities in the field.
Avoid performance regressions in your Python app by staying on top of Postgres maintenance. This monthly checklist outlines what to monitor, how to catch slow queries early.
Calvin Hendryx-Parker discusses the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter, focusing on real-world applications.
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