Amazon Kubernetes Service (EKS) has rapidly become the de facto solution for organizations seeking to deploy, manage, and scale containerized applications using Kubernetes. EKS simplifies the complexities associated with Kubernetes, allowing teams to focus on developing and deploying applications more efficiently. However, as organizations scale their Kubernetes environments, managing and optimizing costs can quickly become a significant concern.

Naturally, our own platform forms the backbone of our cloud cost savings strategy. And before releasing any new feature, we try it out ourselves to see how well it helps us manage our own SaaS costs. If it works well for us, that means there’s already one satisfied user in the world — and there will likely be more!

Most people still remember the days when software applications were distributed mostly through CD-ROMs and floppy disks. While some companies still maintain CD distribution methods, it’s safe to say that the SaaS distribution or “SaaS revenue model” has taken over. In this guide, we’ll explore what this SaaS Revenue Model is, why it’s so popular now, and some tips to help you make the most of it.

As you’ve probably realized by now, cloud computing isn’t the future. It is here and now. According to Gartner, global spending on public cloud services alone will surpass $725 billion by 2024. This rise in cloud computing is a great career opportunity for you. And what better way to immensely benefit from this shift than becoming a cloud engineer?

As Kubernetes environments become increasingly complex, the balance between reducing expenses and maintaining high performance is paramount. Businesses must leverage cost optimization tools to navigate this complexity without compromising on efficiency. These specialized tools provide crucial visibility into clusters, nodes, pods, and containers, allowing for precise management of resources and costs.

Microsoft Azure offers over 150 cloud products and services. In addition to Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS), and Platform-as-a-Service (PaaS), Azure Cloud also supports multiple use cases. Yet, Azure can be complex, expensive, and a lot to figure out — let alone optimize for your specific cloud computing needs. Maybe you’ve looked into the cloud service provider.

The promise of cloud computing has always been about flexibility and cost-effectiveness. Yet many organizations find themselves trapped in a cycle of unpredictable costs and underutilized/overutilized resources. The culprit? A lack of understanding about the power of scaling within platforms like Amazon’s Elastic Kubernetes Service (EKS).