Over the last few years, the advantages of migrating big data and other computationally intensive workloads to the cloud have become abundantly clear. Enterprises can enjoy near-infinite scalability on demand, agility in deploying new applications, and enhanced security and analytics, all combined with pay-as-you-go pricing. In fact, Gartner predicts that worldwide cloud spend will reach nearly $600 billion in 2023.
At the same time, almost all the factors that make the cloud so appealing for big and smaller workloads alike can lead to cost overruns if not carefully calibrated. It has been estimated that one-third of organizations will exceed their cloud budget by up to 40 percent, a widespread problem that plagues even the most sophisticated IT teams. Further, Flexera’s 2023 State of the Cloud Report states that 82 percent of respondents across all organizations indicated that their top cloud challenge is managing cloud spend.
In this eBook, we will share the different approaches to cloud cost optimization and how you can successfully achieve cost reduction in cloud application deployments on Amazon Web Services (AWS) with Pepperdata, an AWS Partner, and its unique approach.
Pepperdata is able to do all of this safely by ensuring that nodes always have some headroom for sudden spikes. On top of that, Pepperdata provides built-in back-off algorithms in place to reduce the optimization levels when the workload increases.
The results speak for themselves. Top enterprises and Fortune 5 organizations whose deployments include the largest, most complex, and highly-scaled clusters in the world have selected Pepperdata as their cloud cost optimization partner of choice. Let’s look at what makes Pepperdata offerings unique.
Global leader in design software cuts cloud deployment costs by 50% with Pepperdata
ISV saves up to 36% on core Amazon EMR clusters with Pepperdata
Consumer electronics brand saves millions annually with Pepperdata