Capacity Optimizer is an automated solution that continuously improves the performance of analytics clusters without manual intervention or application tuning.
H.L. Mencken once famously wrote, “…there is always a well-known solution to every human problem—neat, plausible, and wrong.” More than just a pithy way to frame the entire concept of “cost containment” (whether network-specific cost, the broader category of IT, or the cost of anything else, to be quite honest), it’s an integral aspect of what I’ll be proposing in this and subsequent articles in this series.
There’s no question that the cloud offers efficiencies and innovation opportunities that are near impossible to replicate on-premise. In fact, Amazon reports that companies achieve 31% infrastructure cost savings, as well as 62% more efficient IT infrastructure management, when they move to AWS (and that doesn’t include the many other cost benefits — like improved security and on-demand services). But the extent of those efficiencies can vary.
Businesses are always looking for ways to increase efficiency and eliminate waste. For software-driven companies, DevOps is one approach that helps to achieve this. The goal of DevOps is faster software delivery to the end-user while maintaining high software quality. DevOps enhances collaboration between operations and development teams for faster code deployment. When evaluating the effectiveness of your DevOps model, it is critical to use metrics relevant to your organization.
CloudZero is a platform that helps you understand cost — but that doesn't mean it's purely a finance tool. In fact, unlike most other cloud cost management and optimization solutions, it’s built for engineering. However, CloudZero still makes a lot of finance teams very happy. First of all, the work that engineering teams do while using CloudZero saves money, which every finance team appreciates.