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Unlocking the Full Potential of Kubernetes with Amazon Linux 2023

Amazon Linux 2023 what is there for K8s workloads:

Kubernetes has become the go-to container orchestration tool for many organizations. However, achieving the full potential of Kubernetes requires the right operating system. Kubernetes is a popular open-source container orchestration system for automating the deployment, scaling, and management of containerized applications.

Amazon Linux 2023, the latest version of Amazon Linux, is optimized for running workloads on AWS, and it provides a powerful platform for running Kubernetes clusters.

In this blog post, we will discuss how Amazon Linux 2023 can help you unlock the full potential of Kubernetes, with code examples that showcase the advanced features and capabilities of the operating system.

AKS Edge Essentials - On-premises Kubernetes implementation of Azure Kubernetes Service

AKS Edge Essentials, an on-premises Kubernetes implementation of Azure Kubernetes Service that automates running containerized applications at scale on PC-class or “light” edge hardware. It highlights the features, benefits and use cases of AKS Edge Essentials, such as:

  • A lightweight and supported Kubernetes distribution with a simple installation experience
  • A cloud-based management plane for Kubernetes clusters running anywhere
  • Support for both Linux-based and Windows-based containers
  • Interoperability between native Windows applications and containerized Linux workloads
  • A fully supported stack from kernel to cloud with security and update policies
  • Azure Arc integration to extend the Azure platform to the edge with core services

An Introduction to Kubernetes-based Event-Driven Autoscaling

Kubernetes-based event-driven autoscaling (KEDA) is a powerful tool for automating the scaling of your Kubernetes applications based on event-driven workloads. KEDA is an open-source project that is built on top of Kubernetes, and it allows you to scale your workloads dynamically based on the volume of events that are generated by your applications. In this blog post, we’ll provide an introduction to KEDA and show you how to get started using it with examples in Java, Golang, and YAML code.

Cloud Native vs Cloud Agnostic: Weighing the Trade-Offs 🤜 🤛

Background Speed ​​is an important factor for business in this era when customers are looking for instant gratification. If the fact doesn’t convince you, the statistics might. An element as simple as a website’s load time carries weight. Statistics indicate that the first five seconds of a page load time have the greatest impact on conversion rates. So when consumer behavior has the greatest impact, it is profitable in the long run to modernize a business model accordingly.

The faster a company can develop and ship a product to its customers, the more likely it is to avoid problems in a fast-paced environment. Cloud Native as a form of technology is designed for this. It is a behavior-driven development model designed, built, and optimized to run in the cloud.

Cloud native applications can easily be mistaken as another tool for the digital first era or another platform. However, it is a complete shift to a set of different practices, automated testing, design, customer centric model and an accelerated production environment. With shorter delivery cycles and higher quality, working in the cloud native database requires a transformation within the entire development team of an organization.