Operations are the backbone of successful software delivery, but the specifics of each phase—Day-0, Day-1, and Day-2—often get overlooked. Understanding these phases can help you streamline deployments, reduce risks, and maintain robust, scalable systems. Let’s break down what each phase entails and explore their distinct activities, tools, and best practices.

When enterprises transition to a microservices model, they often need to migrate their legacy applications to the new infrastructure. One popular framework used for these traditional applications is.Net. Due to migration, enterprises require the ability to run Windows containers in their Kubernetes infrastructure.

The advancements in GenAI technology are creating a significant impact across domains/sectors, and the Kubernetes ecosystem is no exception. Numerous interesting GenAI projects and products have emerged aimed at enhancing the efficiency of Kubernetes cluster creation and management. From simplifying application containerization for engineers to addressing complex Kubernetes-related queries or troubleshooting issues within a cluster, GenAI demonstrates immense potential.

GitOps is a framework that combines the principles of software development and continuous integration, continuous delivery (CI/CD) to automate and manage application configurations and infrastructure using Git.

If cost optimization is your only reason for adopting Kubernetes and containers, you might be in for a rude surprise — many companies find that costs increase after moving to Kubernetes. Even companies who adopt Kubernetes for other reasons, like time-to-market advantages, should follow basic cost control best practices to stay within the budget. Optimizing cloud costs related to running Kubernetes doesn’t have to involve trade-offs for performance or availability.

Cloud migration is the process of moving your infrastructure, applications, and data to the cloud. While the potential benefits—like cost savings, scalability, and modernization—are significant, the risks are just as high if you don’t have a solid plan in place. Without clear strategies, you could face unexpected costs, technical challenges, and security issues.

Effective logging is crucial for maintaining and troubleshooting applications running in Kubernetes clusters. As applications become more complex, ensuring they perform optimally has never been more critical. In this comprehensive guide, we'll explore Kubernetes logging using kubectl, covering everything from basic commands to advanced techniques and best practices.

According to Gartner, 90% of global organizations will run containerized applications in production by 2027. The need for continuous innovation, performance, and availability is driving this shift to meet customer expectations. Kubernetes plays a crucial role in this transformation. It offers a robust open-source platform for managing containerized applications. Yet, ensuring optimal application performance is only possible with observability.