Research Notes

Research Note: Tanium’s New AEM & Cloud Workload Solutions

At its recent Converge 2024 user conference in Orlando, Tanium announced two significant portfolio updates: Tanium Autonomous Endpoint Management (AEM) and Tanium Cloud Workloads.
The new solutions advance endpoint and containerized workload management through real-time insights, automation, and AI-powered functionalities.

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Research Note: Veeam Cloud Data Vault v2

Veeam Software recently announced the release of its Veeam Data Cloud Vault v2, a fully managed, secure cloud storage solution that builds on its predecessor with enhanced durability, affordability, and integration.

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Research Note: Red Hat Acquires Neural Magic

Red Hat announced a definitive agreement to acquire Neural Magic, an AI company specializing in software solutions to optimize generative AI inference workloads. The acquisition supports Red Hat’s strategy of advancing open-source AI technologies deployed across various environments within hybrid cloud infrastructures.

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Research Note: Nutanix Enterprise AI

Nutanix recently introduced Nutanix Enterprise AI, its new cloud-native infrastructure platform that streamlines the deployment and operation of AI workloads across various environments, including edge locations, private data centers, and public cloud services like AWS, Azure, and Google Cloud.

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Research Note: Pure Storage FlashArray//C20

Pure Storage has expanded its FlashArray//C, announcing its new FlashArray//C20 that provides high-density, capacity-optimized all-flash storage for SMB, ROBO, and workloads that require high availability but not ultra-low latency.

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Research Note: AutoOps for Elastic Cloud

Elastic recently unveiled AutoOps for Elastic Cloud, an advanced management tool from Elastic’s Opster Team that simplifies Elasticsearch cluster administration through automation, real-time insights, and optimization.

Based on Opster technology and integrated directly into the Elastic platform, AutoOps empowers users by reducing the time and expertise needed to maintain optimal Elasticsearch performance. This makes it an attractive solution for organizations reliant on search and analytics capabilities.

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