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The "Messy Middle," efficiency, and the reality of the cloud

Are you operating in the “Messy Middle” of the cloud? Get insights into how tech leaders are making sense of their cloud spend, gaining efficiency, and dealing with the reality of increasing cloud complexity. This clip is from the Spot by NetApp and IDC webinar “How to accelerate your CloudOps journey,” featuring Archana Venkatraman, Research Director of CloudOps at IDC, and Jon Bock, VP of Marketing at Spot by NetApp.

Introducing Spot Connect: Your low-code cloud workflow automation

It’s only been a few years, and cloud-native practices are not offbeat anymore. As reliance on the cloud increases, so do the difficulties of managing complex cloud operations. The dramatic shift to cloud services has given birth to many functional verticals and their “uni-dimensional” products. And as more of these “best of breed” products proliferate, the silo problem gets magnified. This is where Spot by NetApp is delivering a comprehensive, unified CloudOps portfolio.

Azure Stateful Node is now in General Availability

We are excited to announce that Azure Stateful Node is now in General Availability. This unique, proprietary development follows the ongoing success of AWS Stateful Node and the increasing demand from our customers working in Azure. With Azure Stateful Node, Spot by NetApp’s customers can now run their stateful compute workloads on Azure with up to 90% immediate cost reduction and maximum availability.

Ocean for Apache Spark: Now available to all Spot customers

As the size and frequency of data pipelines scale, organizations are constantly looking for ways to reduce costs and more efficiently utilize their data infrastructure. As the leading managed platform for Spark on Kubernetes, we’ve helped several customers make the decision to move their Spark workloads to Ocean for Apache Spark, taking advantage of strategic spot instance selection, flexible pod configurations, and resource utilization tools that can correct overprovisioning.

Cluster orientation: The cost-availability sweet spot

When organizations deploy clusters — in, for example, Dev or Production environments — they may have different objectives around cost and availability. Dev clusters usually can tolerate more interruptions, as they are not running live services, but the expectation is saving money at the expense of availability.