Author: shishir khandelwal

Kubernetes has revolutionized container orchestration, allowing developers to deploy and manage applications at scale. However, as the complexity of a Kubernetes cluster grows, managing resources such as CPU and memory becomes more challenging. Efficient pod scheduling is critical to ensure optimal resource utilization and enable a stable and responsive environment for applications to run in. 

As a Kubernetes cluster administrator, understanding the nuances of pod scheduling is essential to maximize your cluster’s performance. In this guide, we will explore the strategies for managing pod scheduling in Kubernetes, from the basics to more advanced techniques. We will delve into the intricacies of pod scheduling, including how to optimize resource allocation, how to balance workloads, and how to manage node selectors and affinity rules. 

Are you utilizing Docker to deploy your applications? If so, you’re not alone. The use of Docker has skyrocketed in popularity in recent years. While it offers numerous benefits, it also introduces new security risks that need to be addressed.

But, why is reducing security incidents so important? Simple—the cost of a security breach can be devastating. From lost customer trust to financial losses, the consequences of a security incident can be severe. That’s why it’s crucial to take steps to prevent them from occurring in the first place.