On October 31 the main floor of the DevOps Days TLV Expo was bustling with Halloween-themed booths of exciting DevOps vendors, offering treats for badge scans and whisky shots for “personal secrets”! It was a beautiful display of business-as-usual in unusual times—a worthy prelude to the upcoming winter event season. Here are some key lessons from the Spot by NetApp booth you might want to bring along for the upcoming FinOpsXE, Ignite, and re:Invent.

NetApp is excited to announce that it has been named a major player in the first IDC MarketScape: Asia Pacific (excluding Japan), (APEJ), Cloud Cost and Capacity Optimization 2024 Vendor Assessment (doc, September 2024).

Since its acquisition of VMware, Broadcom has made significant changes to their licensing model, which have had an impact on many customers’ licensing costs. These changes have disrupted, and in some cases, completely upended VMware customers’ existing platform strategy, becoming a forcing function for them to carefully assess the potential risks to the business and the future impact they may have on their VMware infrastructure platforms.

In today’s fast-paced digital landscape, businesses are increasingly relying on Kubernetes (K8s) to efficiently manage their containerized workloads. However, many organizations face a significant challenge when it comes to effectively utilizing compute resources.

NetApp is excited to announce the addition of Shuffle Data Store for Ocean for Apache Spark. Customers running on AWS can now benefit from improved resilience and efficiency for multi-step data preparation pipelines that require Apache Spark to shuffle data. The external shuffle solution is backed by either Amazon FSx for NetApp ONTAP storage or Amazon S3 storage, which have been optimally configured for Spark workloads.

As artificial intelligence (AI) becomes increasingly central to business operations, many organizations are grappling with how to deploy and scale their AI models efficiently. When it comes to AI inference, or how AI analyzes and draws conclusions from new data, Kubernetes offers a compelling solution — but it’s not without challenges.

Forrester Research recently published its Cloud Cost Management and Optimization Solutions, Q3 2024 Wave report in which Spot by NetApp is recognized as one of the 12 most significant vendors in the space. However, Spot by NetApp decided not to participate in this research process given that its Cloud Cost Management products, Cost Intelligence and Billing Engine, were not yet Generally Available (GA) when the research questionnaire was due earlier in the year.

The rapid rise of generative AI and large language models is revolutionizing industries and transforming how we interact with technology. However, developing and deploying these cutting-edge AI models and applications at scale in the cloud comes with a unique set of operational challenges. In this article, we’ll explore the key pain points teams face when building generative AI and how Kubernetes and FinOps practices can help overcome them.

We are thrilled to announce that Spot Elastigroup and Spot Ocean for Google Kubernetes Engine (GKE) are now available on the Google Cloud Marketplace, reinforcing NetApp’s commitment to providing customers with a more streamlined way to consume its CloudOps solutions and invest in intelligent automation to maximize efficiency across their infrastructure and teams.

As Data Scientists and Engineers in a fast-paced corporate environment, our daily activities are filled with numerous challenges. One of the most daunting obstacles we face is the management of infrastructure and related costs. Each task or model we work on must be scheduled meticulously, cost-optimized, and equipped with the right CPU and memory specifications. On top of that, we must also supervise their dependencies.