Autoscaling

Unlocking Performance and Adaptability: Exploring Kubernetes Vertical Autoscaling

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Discover the power of Vertical Pod Autoscaling in Kubernetes, revolutionizing the way you scale workloads. With the ability to add resources to existing pods, vertical scaling offers enhanced performance and flexibility. Learn how this feature complements horizontal scaling, and find out when to leverage it for optimal results. From optimizing CPU and memory allocations to accommodating changing component requirements, Vertical Pod Autoscaling empowers you to adapt and fine-tune your deployments. Explore the benefits of this cutting-edge capability and unlock new possibilities for maximizing performance in your Kubernetes environment

Kubernetes Autoscaling 1.26: A Game-Changer for KEDA Users?

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The latest release of Kubernetes, version 1.26, has introduced several new autoscaling capabilities that allow users to scale their workloads based on custom metrics, multiple metrics, and a range of APIs. These features offer increased flexibility and options for scaling in Kubernetes environments. However, the KEDA project still provides additional features, such as the ability to scale “from zero” and “to zero,” which can be useful for certain types of workloads. In this article, we will explore the new autoscaling capabilities in Kubernetes 1.26 and how they compare to the features offered by KEDA.

Enhanced AutoScaling Options for Event-Driven Applications

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KEDA provides a rich environment to scale your application apart from the traditional HPA approach using CPU and Memory Photo by Markus Winkler on Unsplash Autoscaling is one of the great things of cloud-native environments and helps us to provide an optimized use of the operations. Kubernetes provides many options to do that being one of those … Read more

Kubernetes Autoscaling: Learn How to Scale Your Kubernetes Deployments Dynamically

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Discover the different options to scale your platform based on the traffic load you receive When talking about Kubernetes, you’re always talking about the flexibility options that it provides. Usually, one of the topics that come into the discussion is the elasticity options that come with the platform — especially when working on a public cloud provider. But … Read more