Apache Spark versus Kubernetes? Or both? The past few years have seen a dramatic increase in companies deploying Spark on Kubernetes (K8s). This isn’t surprising, considering the benefits that K8s brings to the table. Adopting Kubernetes can help improve resource utilization and reduce cloud expenses, a key initiative in many organizations given today’s economic climate.

In the labyrinth of IT systems, logging is a fundamental beacon guiding operational stability, troubleshooting, and security. In this quest, however, organizations often find themselves inundated with a deluge of logs. Each action, every transaction, and the minutiae of system behavior generate a trail of invaluable data—verbose, intricate, and at times, overwhelming.

You may have outgrown Amazon CloudWatch. Perhaps you want something more robust than CloudWatch, which provides full-stack observability. Below, we’ll share a list of the proven, top CloudWath alternatives that can meet all your needs in one place.

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!

Without the right tools, managing cloud costs and knowing where your cloud spend goes is nearly impossible. Cloud-native, distributed technologies like microservices, containers, and Kubernetes can make it even more difficult to have full visibility into resource usage — and the associated costs. This cost information is also often buried in rows and columns of text on cloud providers’ bills. In addition, a lot of cloud cost management tools are clunky and inexact.

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.