Author name: David Chase

Automating Kubernetes Resource Optimization: Strategies for Efficient, Scalable Workloads

Kubernetes gives you the amazing power to deploy and manage containerized applications. But this power comes with a trade-off. Instead of letting you focus only on writing code and delivering features, Kubernetes also shifts the burden of resource optimization i.e., cost control, performance, and scalability, directly onto your shoulders. The answer to these challenges is …

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Amazon EKS Auto Mode

AWS EKS Auto Mode: Enhancing Kubernetes Optimization EKS Auto Mode is a huge step forward in managing your EKS clusters by automating complex tasks, enhancing cost efficiency, simplifying management, and ensuring resource optimization. These features make Kubernetes more accessible and manageable, particularly for organizations looking to leverage containerized environments without the overhead of extensive manual …

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Kubernetes Autoscaling vs. Optimization: Understanding the Difference

In cloud-native environments, autoscaling and optimization are often confused, yet they serve different purposes. While Kubernetes offers several built-in autoscaling features, these are often mistaken for optimization. In reality, autoscaling is reactive, responding to changing demands, whereas optimization is proactive, focused on configuring workloads efficiently from the start. This article aims to clarify the distinction …

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