#079 – vSphere and vSAN 8.0 Update 3 with Tech Marketing Architect’s Feidhlim, Jason, and Pete!

VMware recently released vSphere and vSAN 8.0 Update 3, and of course, we had to invite Feidhlim, Jason, and Pete back on the show to discuss what’s new in these releases. There’s awesome new functionality released and some great enhancements, so make sure to listen to the full episode.

Key Takeaways:

  • vSphere 8.0 update 3 introduces the vSphere Live Patch Update Path, which allows for patching ESXi hosts without evacuating VMs or entering full maintenance mode.
  • Improvements in GPU functionality include the ability to use two DPUs in an ESXi host for availability, better support for VGPUs with different profiles and memory sizes, and simplified activation of GPU mobility with DRS.
  • The vSphere cluster service (VCLS) has been re-architected to reduce resource consumption and improve rollback mechanisms.
  • The 8.0 update 3 introduces stretched VVols, which customers have been asking for, and support for stretched fault tolerance.
  • There are enhancements in VVols, including unmapped support for NVMe over fabrics.
  • The updates in NVMe over Fabrics provide faster data migration and cloning.
  • NFS enhancements include VMK port binding and support for NFS version 4.1.
  • vSAN 8.0 U3 introduces new features and enhancements in flexible topologies, agile data protection, and enhanced management.
  • The support for stretch cluster arrangement in VCF allows customers to take full advantage of ESA and improve performance, storage efficiency, and resilience.
  • The full support of vSAN Max as principal storage within a workload domain enables customers to maintain a centralized shared storage model while leveraging the capabilities of vSAN.
  • vSAN data protection allows users to create snapshots based on groups of VMs, set snapshotting schedules, and easily recover VMs without them being part of the inventory.
  • Enhancements in alerting capabilities for NVMe storage devices and proactive hardware management provide better visibility and intelligence about the health and well-being of storage devices.

#078 – Going through the Tanzu Platform announcements with Keith Lee

The conversation explores the features and benefits of the Tanzu Platform, which accelerates application delivery and simplifies the development process. The platform abstracts the complexities of Kubernetes, allowing developers to focus on writing code and creating business value. It offers four golden commands: build, bind, deploy, and scale, which streamline the development process. The platform also reduces administrative overhead for IT teams, with a developer-to-platform engineer ratio of up to 1,000 to 1. The Tanzu Platform is used in various industries, including automotive, finance, healthcare, and retail, to develop and run mission-critical applications.

Takeaways

  • The Tanzu Platform accelerates application delivery and simplifies the development process.
  • It abstracts the complexities of Kubernetes, allowing developers to focus on writing code.
  • The platform reduces administrative overhead for IT teams, with a high developer-to-platform engineer ratio.
  • The Tanzu Platform is used in various industries to develop and run mission-critical applications.

#077 – Introducing Data Services Manager 2.0 featuring Cormac Hogan

In this conversation, Duncan and Cormac Hogan discuss VMware’s Data Services Manager (DSM) and its role in offering data services in a full-stack private cloud. They cover topics such as the use cases for DSM, the integration with Kubernetes, the support for different databases, the automation capabilities, and the licensing model. Cormac highlights the features of DSM, including lifecycle management, backups, scaling, monitoring, and advanced settings. He also mentions the upcoming release of new features and additional data services.

Takeaways

  • Data Services Manager (DSM) is a VMware product that offers data services in a full-stack private cloud.
  • DSM integrates with Kubernetes and allows VI administrators to maintain control of vSphere resources while offering data services.
  • DSM supports databases such as Postgres and MySQL, with support for other data services like AlloyDB in tech preview.
  • DSM provides features such as lifecycle management, backups, scaling, monitoring, and advanced settings.
  • DSM is included in VMware Cloud Foundation (VCF) and support can be added through the Private AI Foundation add-on.

#076 – AI Roles Demystified: A Guide for Infrastructure Admins with Myles Gray

In this conversation, Myles Gray discusses the AI workflow and its personas, the responsibilities of data scientists and developers in deploying AI models, the role of infrastructure administrators, and the challenges of deploying models at the edge. He also explains the concept of quantization and the importance of accuracy in models. Additionally, he talks about the pipeline for deploying models and the difference between unit testing and integration testing. Unit testing is used to test the functionality of a single module or function within an application. Integration testing involves testing the interaction between different components or applications. MLflow and other tools are used to store and manage ML models. Smaller models are emerging as a solution to the resource constraints of large models. Collaboration between different personas is important for ensuring security and governance in AI projects. Data governance policies are crucial for maintaining data quality and consistency.

Takeaways

  • The AI workflow involves multiple personas, including data scientists, developers, and infrastructure administrators.
  • Data scientists play a crucial role in developing AI models, while developers are responsible for deploying the models into production.
  • Infrastructure administrators need to consider the virtualization layer and ensure efficient and easy consumption of infrastructure components.
  • Deploying AI models at the edge requires quantization to reduce model size and considerations for form factor, scale, and connectivity.
  • The pipeline for deploying models involves steps such as unit testing, scanning for vulnerabilities, building container images, and pushing to a registry.
  • Unit testing focuses on testing individual components, while integration testing ensures the compatibility and functionality of the entire system. Unit testing is used to test the functionality of a single module or function within an application.
  • Integration testing involves testing the interaction between different components or applications.
  • MLflow and other tools are used to store and manage ML models.
  • Smaller models are emerging as a solution to the resource constraints of large models.
  • Collaboration between different personas is important for ensuring security and governance in AI projects.
  • Data governance policies are crucial for maintaining data quality and consistency.

#075 – Newsflash – VMware Workstation and Fusion licensing changes! (Did I hear free?)

For this special edition of the podcast Duncan invited Michael Roy to discuss the latest VMware Workstation and VMware Fusion announcements. VMware Workstation and Fusion are desktop hypervisor products that allow users to run virtual machines on their PC or Mac. Starting today, Workstation and Fusion commercial licenses will only be available through an annual subscriptions. The price for both products is now $199 per year. The free versions of Fusion Player and Workstation Player are being discontinued, but the Pro versions will be available for free for personal use. Support for personal use products will be community-based, while commercial users will have support included in their subscription. The focus of future innovation will be on the integration between vSphere and Workstation/Fusion, providing a local virtual sandbox for learning, development, and testing.

Takeaways

  • VMware Workstation and Fusion are desktop hypervisor products for running virtual machines on PC and Mac.
  • Commercial use of Workstation and Fusion is shifting from perpetual licenses to annual subscriptions.
  • The free versions of Fusion Player and Workstation Player are being discontinued, but the Pro versions will be available for free for personal use.
  • Support for personal use products will be community-based, while commercial users will have support included in their subscription.
  • Future innovation will focus on integrating vSphere with Workstation and Fusion to provide a local virtual sandbox for learning, development, and testing.