Podcasts about Virtualization

Join us as Mike Fiedler (AWS Hero, PyPI Safety & Security Engineer, Python Software Foundation) makes the case for eliminating long-lived credentials from your release workflow - before an attacker does it for you. Mike walks through the real-world incidents that motivated Trusted Publishing, how OIDC-based short-lived tokens work under the hood, and the step-by-step process for setting it up in GitHub Actions. You'll learn how the 2024 Ultralytics compromise was forensically investigated thanks to Sigstore attestations, why that API token in your repo is just a password with a fancy hat, common pitfalls that will have you debugging for four hours, and why deleting your old token after setup is the step everyone forgets. PyPI went from 10% Trusted Publishing adoption in February 2024 to 36% today - this episode is how you become part of that number. Timestamps 0:00 Welcome & Introduction 4:00 Mike's PyCon US World Tour Recap 8:00 The Scale of PyPI: 13B Requests/Day & 36% Adoption 12:09 Why Long-Lived Tokens Fail: Four Attack Models 16:47 Case Study: The 2024 Ultralytics Compromise 21:44 What is Trusted Publishing? OIDC Explained 27:04 How the GitHub Actions Flow Actually Works 34:12 Other Registries: npm, RubyGems, crates.io, NuGet 36:34 Common Pitfalls & Debugging Tips 42:29 Provenance & Sigstore Attestations 44:22 The Step Everyone Forgets: Delete Your Old Token 47:06 Migration Guide & Getting Started This Week How to find Mike: https://www.linkedin.com/in/miketheman/ https://www.python.org/psf-landing/ Links from the show:

Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

Guy talks about an interesting incident involving performance problems in a virtual environment. And also, we talk about the SSMS StatisticsParser extension and the question of SSMS extensions in general. Relevant links: vmware.com/docs/sql-server-on-vmware-best-practices-guide Hyper-V and SQL Server Best Practices: What We Wish You Knew - SQL Server Consulting - Straight Path Solutions Announcing the SSMS StatisticsParser Extension - Brent Ozar Unlimited® SSMS Extension List Statistics are not collected when creating new table and indexes and loading data after. · Issue #990 · olahallengren/sql-server-maintenance-solution

AI subscriptions are becoming as essential as internet bills - and just as expensive. The vBrownBag gang takes a hard look at the real cost of LLMs and what happens when the free ride ends. Chris, Shala, and Damian dig into the Anthropic pricing plot twist, why AI data centers consume 10x the power of traditional racks, the DeepSeek distillation controversy, and what happens when the first hit's free phase ends. You'll learn practical strategies for reducing token burn, why local models are becoming a viable cost escape hatch, how to pick the right model for the right job, and why blindly using Opus for everything is lighting money on fire. This is the unfiltered conversation every AI practitioner needs to have - before the subsidies disappear and the real bills arrive. Timestamps 0:00 Cold Open: Get These Darn Kids Off My Lawn 1:27 Chris's Big News: Leaving IBM for Six Feet Up 8:09 How Many AI Subscriptions Do You Have? 16:41 Stack Overflow Is Dead, Long Live Claude 17:12 Don't Just Blindly Copy and Paste (AI Edition) 31:00 Anthropic Gross Margin 2025: Negative 53% 35:30 When Token Costs Exceed a Junior Dev's Salary 42:02 Find the Model That Fits the Job 46:11 AI Multitasking Is a Lie (Just Like Humans) 49:05 We Are Uniquely Bad at Making Money Off This Show 53:19 Supply Chain Attacks and GitHub Actions 54:45 Did We Solve Anything? Yes. No. Maybe. 55:58 Grateful for Friends & Wrapping Up Links from the show:

Join us as Brian Hough (CEO & Founder of Tech Stack Playbook, AWS Hero) gets brutally honest about the state of tech hiring and what skills developers actually need to survive - and thrive - in the AI era. Brian walks through his frontline perspective on why tech layoffs aren't about skills - they're about market economics - and what that means for engineers trying to stay relevant. You'll learn which roles are actually hot right now (ML engineer, AI engineer, cloud architect, full stack dev), why companies want utility players who can build end to end, how to use social media and building in public to get quietly hired, and why the engineers who thrive will be those who can go from vision to deployed system. Brian also covers practical strategies for positioning yourself before the next wave hits, including using roadmaps as a personal curriculum and leveraging AI as a career accelerator rather than a threat. Timestamps 0:00 Cold Open 0:11 Welcome & Introduction 2:16 Taking Vibe Code to Production-Grade Systems 3:01 Brian's Update: Dog Feeding & Building Internal Tools 8:05 Mac Maximus: Building on AWS EC2 Mac 9:49 Let's Get Into the Presentation 10:10 Agenda Overview 11:11 Is Anyone Actually Working Less Because of AI? 12:52 What Happens When You Don't Understand What You Built 20:10 AWS Root Account Horror Story 23:24 The Skills You Need in 2026 24:09 Tech Scene Overview & Job Posting Divergence 26:19 What Companies Actually Want: Utility Players 28:00 Hot Roles: ML Engineer, AI Engineer, Cloud Architect 32:00 The Layoff Reality: It's Market Economics, Not Skills 40:49 Now Is the Best Time to Start a Startup 42:31 Roles & Salaries Breakdown 43:55 This Advice Is for Everyone - Not Just Job Seekers 48:01 What's Getting Replaced vs. What's Irreplaceable 49:14 How to Become an Irreplaceable Engineer 52:42 Maximum Viable Product 53:02 Building in Public & Social Media Strategy 55:32 Positioning Yourself Before the Next Wave 56:19 Brian's Closing Thoughts 57:03 AI on Your Resume = Getting Hired Fast 58:12 Using Brian's 30-Day Plan as a Claude Curriculum 59:55 Platform Engineering Hot Take 1:03:05 Wrap-up & See You in Seattle How to find Brian: https://brianhhough.com/techstackplaybook Links from the show: https://roadmap.sh/python https://roadmap.sh/ai-engineer https://roadmap.sh/machine-learning https://roadmap.sh/ai-agents

Have you ever considered how a single server can support countless applications and workloads at once? In this episode, hosts Lois Houston and Nikita Abraham explore the sophisticated technologies that make this possible in modern cloud data centers. They discuss the roles of hypervisors, virtual machines, and containers, explaining how these innovations enable efficient resource sharing, robust security, and greater flexibility for organizations.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Radhika Banka, and the OU Studio Team for helping us create this episode.   ----------------------------------------------------   Episode Transcript:   00:00 Hi there! We're hitting rewind for the next few weeks and bringing back some of our most popular episodes. So, sit back and enjoy these highlights from our archive. 00:12 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:38 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! For the last two weeks, we've been talking about different aspects of cloud data centers. In this episode, Orlando Gentil, Principal OCI Instructor at Oracle University, joins us once again to discuss how virtualization, through hypervisors, virtual machines, and containers, has transformed data centers. 01:11 Lois: That's right, Niki. We'll begin with a quick look at the history of virtualization and why it became so widely adopted. Orlando, what can you tell us about that?  Orlando: To truly grasp the power of virtualization, it's helpful to understand its journey from its humble beginnings with mainframes to its pivotal role in today's cloud computing landscape. It might surprise you, but virtualization isn't a new concept. Its roots go back to the 1960s with mainframes. In those early days, the primary goal was to isolate workloads on a single powerful mainframe, allowing different applications to run without interfering with each other. As we moved into the 1990s, the challenge shifted to underutilized physical servers. Organizations often had numerous dedicated servers, each running a single application, leading to significant waste of computing resources. This led to the emergence of virtualization as we know it today, primarily from the 1990s to the 2000s. The core idea here was to run multiple isolated operating systems on a single physical server. This innovation dramatically improved the resource utilization and laid the technical foundation for cloud computing, enabling the scalable and flexible environments we rely on today. 02:39 Nikita: Interesting. So, from an economic standpoint, what pushed traditional data centers to change and opened the door to virtualization? Orlando: In the past, running applications often meant running them on dedicated physical servers. This led to a few significant challenges. First, more hardware purchases. Every new application, every new project often required its own dedicated server. This meant constantly buying new physical hardware, which quickly escalated capital expenditure. Secondly, and hand-in-hand with more servers came higher power and cooling costs. Each physical server consumed power and generated heat, necessitating significant investment in electricity and cooling infrastructure. The more servers, the higher these operational expenses became. And finally, a major problem was unused capacity. Despite investing heavily in these physical servers, it was common for them to run well below their full capacity. Applications typically didn't need 100% of server's resources all the time. This meant we were wasting valuable compute power, memory, and storage, effectively wasting resources and diminishing the return of investment from those expensive hardware purchases. These economic pressures became a powerful incentive to find more efficient ways to utilize data center resources, setting the stage for technologies like virtualization. 04:18 Lois: I guess we can assume virtualization emerged as a financial game-changer. So, what kind of economic efficiencies did virtualization bring to the table? Orlando: From a CapEx or capital expenditure perspective, companies spent less on servers and data center expansion. From an OpEx or operational expenditure perspective, fewer machines meant lower electricity, cooling, and maintenance costs. It also sped up provisioning. Spinning a new VM took minutes, not days or weeks. That improved agility and reduced the operational workload on IT teams. It also created a more scalable, cost-efficient foundation which made virtualization not just a technical improvement, but a financial turning point for data centers. This economic efficiency is exactly what cloud providers like Oracle Cloud Infrastructure are built on, using virtualization to deliver scalable pay as you go infrastructure.  05:22 Nikita: Ok, Orlando. Let's get into the core components of virtualization. To start, what exactly is a hypervisor? Orlando: A hypervisor is a piece of software, firmware, or hardware that creates and runs virtual machines, also known as VMs. Its core function is to allow multiple virtual machines to run concurrently on a single physical host server. It acts as virtualization layer, abstracting the physical hardware resources like CPU, memory, and storage, and allocating them to each virtual machine as needed, ensuring they can operate independently and securely. 06:02 Lois: And are there types of hypervisors? Orlando: There are two primary types of hypervisors. The type 1 hypervisors, often called bare metal hypervisors, run directly on the host server's hardware. This means they interact directly with the physical resources offering high performance and security. Examples include VMware ESXi, Oracle VM Server, and KVM on Linux. They are commonly used in enterprise data centers and cloud environments. In contrast, type 2 hypervisors, also known as hosted hypervisors, run on top of an existing operating system like Windows or macOS. They act as an application within that operating system. Popular examples include VirtualBox, VMware Workstation, and Parallels. These are typically used for personal computing or development purposes, where you might run multiple operating systems on your laptop or desktop. 07:08 Nikita: We've spoken about the foundation provided by hypervisors. So, can we now talk about the virtual entities they manage: virtual machines? What exactly is a virtual machine and what are its fundamental characteristics? Orlando: A virtual machine is essentially a software-based virtual computer system that runs on a physical host computer. The magic happens with the hypervisor. The hypervisor's job is to create and manage these virtual environments, abstracting the physical hardware so that multiple VMs can share the same underlying resources without interfering with each other. Each VM operates like a completely independent computer with its own operating system and applications.  07:53 Lois: What are the benefits of this? Orlando: Each VM is isolated from the others. If one VM crashes or encounters an issue, it doesn't affect the other VMs running on the same physical host. This greatly enhances stability and security. A powerful feature is the ability to run different operating systems side-by-side on the very same physical host. You could have a Windows VM, a Linux VM, and even other specialized OS, all operating simultaneously. Consolidate workloads directly addresses the unused capacity problem. Instead of one application per physical server, you can now run multiple workloads, each in its own VM on a single powerful physical server. This dramatically improves hardware utilization, reducing the need of constant new hardware purchases and lowering power and cooling costs. And by consolidating workloads, virtualization makes it possible for cloud providers to dynamically create and manage vast pools of computing resources. This allows users to quickly provision and scale virtual servers on demand, tapping into these shared pools of CPU, memory, and storage as needed, rather than being tied to a single physical machine. 09:25 Do you want to boost your data management skills for free? The Oracle Data Platform Foundations Associate Learning Path covers everything from Autonomous Database to modern data architectures like lakehouse and mesh—and prepares you for the certification. Get started today by visiting mylearn.oracle.com. 09:50 Nikita: Welcome back! Orlando, let's move on to containers. Many see them as a lighter, more agile way to build and run applications. What's your take? Orlando: A container packages an application in all its dependencies, like libraries and other binaries, into a single, lightweight executable unit. Unlike a VM, a container shares the host operating system's kernel, running on top of the container runtime process. This architectural difference provides several key advantages. Containers are incredibly portable. They can be taken virtually anywhere, from a developer's laptop to a cloud environment, and run consistently, eliminating it works on my machine issues. Because containers share the host OS kernel, they don't need to bundle a full operating system themselves. This results in significantly smaller footprints and less administration overhead compared to VMs. They are faster to start. Without the need to boot a full operating system, containers can start up in seconds, or even milliseconds, providing rapid deployment and scaling capabilities. 11:08 Nikita: Ok. Throughout our conversation, you've spoken about the various advantages of virtualization but let's consolidate them now.  Orlando: From a security standpoint, virtualization offers several crucial benefits. Each VM operates in its own isolated sandbox. This means if one VM experiences a security breach, the impact is generally contained to that single virtual machine, significantly limiting the spread of potential threats across your infrastructure. Containers also provide some isolation. Virtualization allows for rapid recovery. This is invaluable for disaster recovery or undoing changes after a security incident. You can implement separate firewalls, access rules, and network configuration for each VM. This granular control reduces the overall exposure and attack surface across your virtualized environments, making it harder for malicious actors to move laterally. Beyond security, virtualization also brings significant advantages in terms of operational and agility benefits for IT management. Virtualization dramatically improves operational efficiency and agility. Things are faster. With virtualization, you can provision new servers or containers in minutes rather than days or weeks. This speed allows for quicker deployment of applications and services. It becomes much simpler to deploy consistent environment using templates and preconfigured VM images or containers. This reduces errors and ensures uniformity across your infrastructure. It's more scalable. Virtualization makes your infrastructure far more scalable. You can reshape VMs and containers to meet changing demands, ensuring your resources align precisely with your needs. These operational benefits directly contribute to the power of cloud computing, especially when we consider virtualization's role in enabling cloud and scalability. Virtualization is the very backbone of modern cloud computing, fundamentally enabling its scalability. It allows multiple virtual machines to run on a single physical server, maximizing hardware utilization, which is essential for cloud providers. This capability is core of infrastructure as a service offerings, where users can provision virtualized compute resources on demand. Virtualization makes services globally scalable. Resources can be easily deployed and managed across different geographic regions to meet worldwide demand. Finally, it provides elasticity, meaning resources can be automatically scaled up or down in response to fluctuating workloads, ensuring optimal performance and cost efficiency. 14:18 Lois: That's amazing. Thank you, Orlando, for joining us once again.  Nikita: Yeah, and remember, if you want to learn more about the topics we covered today, go to mylearn.oracle.com and search for the Cloud Tech Jumpstart course.  Lois: Well, that's all we have for today. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 14:37 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Andrew Brown (ExamPro) joins the vBrownBag crew to talk Gen AI skills, bootcamps, and whether vibe coding has made "learning to code" irrelevant.

AWS Hero Stephen Sennett joins the vBrownBag crew to argue that foundational knowledge matters more now, not less.

Have you ever wondered where all your digital memories, work projects, or favorite photos actually live in the cloud? In this episode, Lois Houston and Nikita Abraham discuss cloud storage. They explore how data is carefully organized, the different ways it can be stored—whether right next to the server or across the network—and what keeps it safe and easy to find.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------   Episode Transcript:    00:00 Hi there! We're hitting rewind for the next few weeks and bringing back some of our most popular episodes. So, sit back and enjoy these highlights from our archive. 00:12 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:38 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hey there! Last week, we spoke about the differences between traditional and cloud data centers, and covered components like CPU, RAM, and operating systems. If you haven't listened to the episode yet, I'd suggest going back and listening to it before you dive into this one.  Nikita: Joining us again is Orlando Gentil, Principal OCI Instructor at Oracle University, and we're going to ask him about another fundamental concept: storage. 01:16 Lois: That's right, Niki. Hi Orlando! Thanks for being with us again today. You introduced cloud data centers last week, but tell us, how is data stored and accessed in these centers?  Orlando: At a fundamental level, storage is where your data resides persistently. Data stored on a storage device is accessed by the CPU and, for specialized tasks, the GPU. The RAM acts as a high-speed intermediary, temporarily holding data that the CPU and the GPU are actively working on. This cyclical flow ensures that applications can effectively retrieve, process, and store information, forming the backbone for our computing operations in the data center. 02:05 Nikita: But how is data organized and controlled on disks? Orlando: To effectively store and manage data on physical disks, a structured approach is required, which is defined by file systems and permissions. The process began with disks. These are the raw physical storage devices. Before data can be written to them, disks are typically divided into partitions. A partition is a logical division of a physical disk that acts as if it were a separated physical disk. This allows you to organize your storage space and even install multiple operating systems on a single drive. Once partitions are created, they are formatted with a file system. 02:53 Nikita: Ok, sorry but I have to stop you there. Can you explain what a file system is? And how is data organized using a file system?  Orlando: The file system is the method and the data structure that an operating system uses to organize and manage files on storage devices. It dictates how data is named, is stored, retrieved, and managed on the disk, essentially providing the roadmap for data. Common file systems include NTFS for Windows and ext4 or XFS for Linux. Within this file system, data is organized hierarchically into directories, also known as folders. These containers help to logically group related files, which are the individual units of data, whether they are documents, images, videos, or applications. Finally, overseeing this entire organization are permissions.  03:55 Lois: And what are permissions? Orlando: Permissions define who can access a specific files and directories and what actions they are allowed to perform-- for example, read, write, or execute. This access control, often managed by user, group, and other permissions, is fundamental for security, data integrity, and multi-user environments within a data center.  04:21 Lois: Ok, now that we have a good understanding of how data is organized logically, can we talk about how data is stored locally within a server?   Orlando: Local storage refers to storage devices directly attached to a server or computer. The three common types are Hard Disk Drive. These are traditional storage devices using spinning platters to store data. They offer large capacity at a lower cost per gigabyte, making them suitable for bulk data storage when high performance isn't the top priority. Unlike hard disks, solid state drives use flash memory to store data, similar to USB drives but on a larger scale. They provide significantly faster read and write speeds, better durability, and lower power consumption than hard disks, making them ideal for operating systems, applications, and frequently accessed data. Non-Volatile Memory Express is a communication interface specifically designed for solid state that connects directly to the PCI Express bus. NVME offers even faster performance than traditional SATA-based solid state drives by reducing latency and increasing bandwidth, making it the top choice for demanding workloads that require extreme speed, such as high-performance databases and AI applications. Each type serves different performance and cost requirements within a data center. While local storage is essential for immediate access, data center also heavily rely on storage that isn't directly attached to a single server.  06:11 Lois: I'm guessing you're hinting at remote storage. Can you tell us more about that, Orlando? Orlando: Remote storage refers to data storage solutions that are not physically connected to the server or client accessing them. Instead, they are accessed over the network. This setup allows multiple clients or servers to share access to the same storage resources, centralizing data management and improving data availability. This architecture is fundamental to cloud computing, enabling vast pools of shared storage that can be dynamically provisioned to various users and applications. 06:48 Lois: Let's talk about the common forms of remote storage. Can you run us through them? Orlando: One of the most common and accessible forms of remote storage is Network Attached Storage or NAS. NAS is a dedicated file storage device connected to a network that allows multiple users and client devices to retrieve data from a centralized disk capacity. It's essentially a server dedicated to serving files. A client connects to the NAS over the network. And the NAS then provides access to files and folders. NAS devices are ideal for scenarios requiring shared file access, such as document collaboration, centralized backups, or serving media files, making them very popular in both home and enterprise environments. While NAS provides file-level access over a network, some applications, especially those requiring high performance and direct block level access to storage, need a different approach.  07:50 Nikita: And what might this approach be?  Orlando: Internet Small Computer System Interface, which provides block-level storage over an IP network. iSCSI or Internet Small Computer System Interface is a standard that allows the iSCSI protocol traditionally used for local storage to be sent over IP networks. Essentially, it enables servers to access storage devices as if they were directly attached even though they are located remotely on the network.  This means it can leverage standard ethernet infrastructure, making it a cost-effective solution for creating high performance, centralized storage accessible over an existing network. It's particularly useful for server virtualization and database environments where block-level access is preferred. While iSCSI provides block-level access over standard IP, for environments demanding even higher performance, lower latency, and greater dedicated throughput, a specialized network is often deployed.  08:59 Nikita: And what's this specialized network called? Orlando: Storage Area Network or SAN. A Storage Area Network or SAN is a high-speed network specifically designed to provide block-level access to consolidated shared storage. Unlike NAS, which provides file level access, a SAN presents a storage volumes to servers as if they were local disks, allowing for very high performance for applications like databases and virtualized environments. While iSCSI SANs use ethernet, many high-performance SANs utilize fiber channel for even faster and more reliable data transfer, making them a cornerstone of enterprise data centers where performance and availability are paramount. 09:56 Do you want to master Oracle Database on AWS? Check out the Oracle Database@AWS course, where you'll learn provisioning, migration, security, and high availability. Validate your new skills with a certification and stand out in the multicloud space. Visit mylearn.com to learn more!  10:23 Nikita: Welcome back! Orlando, are there any other popular storage paradigms we should know about? Orlando: Beyond file level and block level storage, cloud environments have popularized another flexible and highly scalable storage paradigm, object storage.  Object storage is a modern approach to storing data, treating each piece of data as a distinct, self-contained unit called an object. Unlike file systems that organize data in a hierarchy or block storage that breaks data into fixed size blocks, object storage manages data as flat, unstructured objects. Each object is stored with unique identifiers and rich metadata, making it highly scalable and flexible for massive amounts of data. This service handles the complexity of storage, providing access to vast repositories of data. Object storage is ideal for use cases like cloud-native applications, big data analytics, content distribution, and large-scale backups thanks to its immense scalability, durability, and cost effectiveness. While object storage is excellent for frequently accessed data in rapidly growing data sets, sometimes data needs to be retained for very long periods but is accessed infrequently. For these scenarios, a specialized low-cost storage tier, known as archive storage, comes into play. 11:59 Lois: And what's that exactly? Orlando: Archive storage is specifically designed for long-term backup and retention of data that you rarely, if ever, access. This includes critical information, like old records, compliance data that needs to be kept for regulatory reasons, or disaster recovery backups. The key characteristics of archive storage are extremely low cost per gigabyte, achieved by optimizing for infrequent access rather than speed. Historically, tape backup systems were the common solution for archiving, where data from a data center is moved to tape. In modern cloud environments, this has evolved into cloud backup solutions. Cloud-based archiving leverages high-cost, effective during cloud storage tiers that are purpose built for long term retention, providing a scalable and often more reliable alternative to physical tapes. 13:01 Lois: Thank you, Orlando, for taking the time to talk to us about the hardware and software layers of cloud data centers. This information will surely help our listeners to make informed decisions about cloud infrastructure to meet their workload needs in terms of performance, scalability, cost, and management.  Nikita: That's right, Lois. And if you want to learn more about what we discussed today, head over to mylearn.oracle.com and search for the Cloud Tech Jumpstart course.  Lois: In our next episode, we'll take a look at more of the fundamental concepts within modern cloud environments, such as Hypervisors, Virtualization, and more. I can't wait to learn more about it. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 13:44 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Stop Using VSS as a Backup Before Ransomware Deletes Your Shadow CopiesRansomware deletes shadow copies using your own built-in Windows tools against you — and if VSS was your backup plan, you just found out the hard way that it wasn't. In this episode, W. Curtis Preston (Mr. Backup), Prasanna Malaiyandi, and Dr. Mike Saylor break down exactly what shadow copies are, why they don't qualify as a real backup, and how attackers are weaponizing vssadmin to wipe your recovery options before you even know you're under attack.If you've got Windows systems and you've been thinking "eh, we've got shadow copies," this episode is for you. We cover the history of VSS — what it was actually designed for, why it became a crutch, and why using it as your primary backup strategy is a bad idea on multiple levels. Performance, the 3-2-1 rule, and the fact that one attacker with admin rights can delete every single copy in seconds. We also get into the living off the land angle: how attackers do recon on your shadow copies, how they use them to scope out valuable data before going full ransomware, and what you can actually do to detect and respond to this behavior using EDR tools.The bottom line: VSS is a great tool. It was just never meant to be your backup. Get a real one.Chapters:0:00 — Intro1:39 — Welcome & Book Talk3:26 — What Are Shadow Copies and Why Do People Use Them as Backups?9:14 — Performance Problems with VSS as a Backup10:19 — Living Off the Land: How Ransomware Uses VSS Against You12:36 — Can You Monitor or Lock Down VSS Admin?14:26 — Why Shadow Copies Fail the 3-2-1 Rule (They're Not a Backup)18:01 — How to Protect Yourself: Configuring Your EDR21:31 — The Local Admin Problem and Security Culture27:00 — Virtualization, Snapshots, and Shadow Copies29:00 — Final Thoughts: Just Don't Do That

Join us for Part 1 of a 3-part series as Du'An Lightfoot (Senior AI Engineer at Akamai) breaks down everything you need to know to get started running AI models locally on your own hardware. Du'An walks through the fundamentals of local AI - from understanding why you'd want to run models privately (data ownership, air-gapped environments, IP protection) to the hardware concepts that make it possible. You'll learn how inference actually works under the hood, why GPUs matter for AI workloads, how to choose and quantize models for your hardware, and how to get up and running with tools like Ollama. This is Part 1 of a 3-part series - future episodes cover serving models via API and distributing inference at the edge with Kubernetes. Timestamps 0:00 Cold Open: Why Local AI? 0:26 Welcome & Introduction 1:30 Following Up on the Frontier Models Episode 2:25 Du'An's Background & AI Inference at Akamai 3:49 What If You Wanted to Own Your Data? 5:00 Local AI vs Cloud AI: A Different Layer of the Stack 5:47 Why GPUs Matter: The Nvidia Story 7:03 CPU vs GPU: Serial vs Parallel Processing 8:28 Model Weights & Quantization Explained 12:45 Choosing the Right Model for Your Hardware 18:22 Getting Started with Ollama 24:16 Live Demo: Running Your First Local Model 30:41 Hardware Recommendations & Requirements 36:52 Hugging Face & Finding Models 42:18 Performance Tips & Benchmarking 48:35 Use Cases: When to Go Local vs Cloud 1:01:30 Live Demo: Claude Put-in-Work Repo 1:11:17 Bonus: Building a Deck with Co-work Live 1:16:36 Preview: Episodes 2 & 3 1:17:17 Wrap-up How to find Du'An: https://www.duanlightfoot.com/ https://github.com/labeveryday/ Links from the show: https://ollama.com/ https://apxml.com/ https://localllm.in/ https://huggingface.co/ https://github.com/labeveryday/claude-put-in-work https://claude.ai/

Join us as Kira Intrator (MIT-trained urban planner, systems thinker, and social impact technologist based in Geneva) makes the case that AI for Good isn't failing because of models - it's failing because of systems. Kira walks through why so many AI pilots never reach deployment, drawing on her experience building tools scaled across 9,000 users, three ministries, and six countries in Central Asia. You'll learn the five factors that kill AI projects in the development sector, why 80% of clinical AI models are trained on data that can't be deployed outside Western contexts, and what the $2.6 trillion opportunity in developing markets actually requires to unlock. This episode is equal parts systems thinking masterclass and call to action - a rare perspective from someone who has moved AI from prototype to production in places most tech professionals never consider. Timestamps 0:00 Welcome & Introduction 2:47 Kira's Background: MIT, Geneva, Central Asia 3:54 The Core Thesis: It's About Systems, Not Models 5:20 AI is Our Generation's Revolution 6:35 The $2.6 Trillion Opportunity 7:17 The 80% Western Data Problem 8:20 Why AI Projects Fail in Development: 5 Factors 9:28 Systems Mismatch & Low-Bandwidth Environments 9:52 Built for Pilot vs. Built for Deployment 10:29 Ownership, Economics & Sustainability 18:22 Real-World Case Studies 24:16 What Actually Works: Levers for Scale 30:41 The Role of Tech Companies & Foundations 33:39 Crystal Ball: Merging the Two Universes 35:01 A Call to Action 38:48 Wrap-up How to find Kira: https://www.linkedin.com/in/kiraintrator/ Links from the show: Infrastructure & Platforms Anthropic Beneficial Deployments: https://www.anthropic.com/ Google Research Global South Labs: https://research.google/ Lelapa AI: https://lelapa.ai/ Microsoft AI for Good: https://www.microsoft.com/en-us/ai/ai-for-good OpenAI Foundation: https://openai.com/ Research & Innovation Hubs Data Science Africa: https://www.datascienceafrica.org/ Masakhane: https://www.masakhane.io/ Stanford HAI: https://hai.stanford.edu/ Wadhwani AI: https://www.wadhwaniai.org/ Global Governance & Policy OECD AI Observatory: https://oecd.ai/ UNICEF Office of Innovation: https://www.unicef.org/innovation/ World Health Organization AI: https://www.who.int/ Funders & Philanthropies Gates Foundation: https://www.gatesfoundation.org/ Patrick J. McGovern Foundation: https://www.mcgovern.org/ Conferences AI for Good Global Summit (July 7-10, 2026 - Geneva): https://aiforgood.itu.int/ Data Science Africa 2026 (July 20-24 - Kampala, Uganda): https://www.datascienceafrica.org/ Deep Learning Indaba 2026 (August 2-7 - Lagos, Nigeria): https://deeplearningindaba.com/

Join us as Hiroko Nishimura (AWS Hero, LinkedIn Learning Instructor, and author of AWS for Non-Engineers) reflects on seven years of teaching cloud to 700,000 learners - what she's learned about learning, and how AWS education has changed. Hiroko walks through the evolution of AWS certification content, what changed when the Cloud Practitioner exam shifted focus, and her honest take on the industry's move away from non-engineer focused learning. You'll hear her best advice for anyone wanting to build a career in tech through content creation, why you only need to be 1-2 steps ahead to start teaching others, and how community has shaped her entire journey. This episode is equal parts AWS education deep dive and career inspiration - whether you're studying for your first cert or wondering how to break into the cloud community, Hiroko's 700,000-learner perspective is exactly what you need to hear. Timestamps 0:00 Welcome & Introduction 1:42 How We Get to 700,000 Learners 3:37 The 22 Courses Explained 6:15 How AWS Cloud Practitioner Has Changed 7:31 The Shift Away from Non-Engineer Focus 12:45 What Actually Changed in the Exam Content 18:22 Hiroko's Teaching Philosophy 24:16 How AI Has Changed the Learning Landscape 30:41 Community Building & AWS Heroes 35:00 Content Creation as a Career Strategy 39:02 Key Takeaways: You Only Need to Be 1-2 Steps Ahead 41:08 The Origin Story: 700,000 Learners from One Study Blog 44:02 Wrap-up & Where to Find Hiroko How to find Hiroko: https://www.linkedin.com/in/hirokonishimura/ https://hirokonishimura.com/ https://hiroko.io/ Links from the show:

Join us as Josh and Adriana call BS on the oversimplified vendor neutrality narrative - because switching observability vendors isn't magic, even with OpenTelemetry. Josh and Adriana walk through the hard truths about OTel vendor neutrality using their favorite analogy: switching from iOS to Android because vCard exists. Sure, your contacts will move, but what about everything else? You'll learn what vendor neutrality actually means in production, why vendor-neutral instrumentation still matters (your code artifacts survive tool changes), the real challenges and pitfalls of switching vendors, and best practices to make the process as pain-free as possible. This episode cuts through the hype with honest talk about what works, what doesn't, and why OpenTelemetry is still valuable even when it's not a magic wand. Timestamps 0:00 Welcome & Introduction 3:32 Getting Into the Talk 4:28 Origin Story: From LinkedIn Post to Full Presentation 5:35 Standards We Love: USB-C, Stop Signs, McDonald's 8:00 The No Name Brand Analogy 12:45 What Vendor Neutrality Actually Means 18:22 The iOS to Android / vCard Comparison 24:16 What You Lose When Switching Vendors 30:41 Why Vendor-Neutral Instrumentation Matters 36:52 Real Challenges & Pitfalls 42:18 Best Practices for Switching 46:17 Shameless Self-Promotion & Resources 49:03 Wrap-up How to find Josh & Adriana: https://www.linkedin.com/in/joshuamlee/ https://www.linkedin.com/in/adrianavillela/ Links from the show: https://opentelemetry.io/

What's the best tool for making PDFs accessible? It's the question we get constantly, and the honest answer might surprise you. There isn't one. In this episode of Chax Chat, Chad and Dax break down how the "best" accessibility tool depends entirely on your starting point. Are you working in Word, InDesign, PowerPoint, Google Docs, or Canva? Do you have a tagged PDF, an untagged PDF, or a scanned document? Each scenario changes the strategy. We discuss why "born accessible" is always better than heavy remediation, when Adobe's auto-tagging can actually help, why tools like MadeToTag and Access Word continue to be game changers, and how platforms like CommonLook, PDFix, PREP, and Grackle fit into the workflow. We also talk about handling scanned PDFs, the realities of screen reader testing, and why bookmarks aren't the navigation solution many people think they are. If you've ever felt overwhelmed trying to choose the right accessibility tool, this episode will help you stop chasing a magic solution and start making smarter decisions based on context. Every other week, we unravel accessibility so you can build more inclusive, compliant, and practical documents.     Screen Readers NVDA https://www.nvaccess.org JAWS https://www.freedomscientific.com/products/software/jaws Apple Voice Over https://www.apple.com/accessibility/vision   Color Checkers TPGi Color Contrast Analyzer https://www.tpgi.com/color-contrast-checker WebAIM Color Contrast Checker https://webaim.org/resources/contrastchecker 8-Shapes Contrast Grid https://contrast-grid.eightshapes.com Microsoft Color Simulations https://www.microsoft.com/design/color Sim Daltonism https://michelf.ca/projects/sim-daltonism Daltonizer https://play.google.com/store/apps/ Adobe Illustrator https://www.adobe.com Adobe Photoshop https://www.adobe.com Color.Adobe https://color.adobe.com/   Acrobat Plugins CommonLook PDF https://commonlook.com Callas PDFgoHTML https://www.callassoftware.com   MS Word Plugins CommonLook Office https://commonlook.com axesWord https://www.axes4.com   Google Extension Grackle Docs https://www.grackledocs.com   InDesign Plugins MadeToTag https://www.axaio.com/madetotag   PDF Remidiators Adobe Acrobat Pro DC https://www.adobe.com/acrobat Adobe Bridge https://www.adobe.com axesPDF https://www.axes4.com Abby Fine Reader https://www.abbyy.com/ PDFix https://pdfix.net Responsive Table Generator Tool https://ianrmedia.unl.edu/website-resources/responsive-table-generator-tool/ Grackle PDF https://www.grackledocs.com/grackle-pdf Vengage https://venngage.com PREP (Continual Engine) https://www.continualengine.com/prep   PDF Checker PAC Checker 2026 https://pac.pdf-accessibility.org CommonLook Validator https://netcentric.allyant.com/accessibility-software/pdf-validator/   InDesign Scripts Keith Gilbert InDesign Scripts https://gilbertconsulting.com   Virtualization for Mac Parallels Desktop https://www.parallels.com Windows OS https://www.microsoft.com/windows Karabiner-Elements https://karabiner-elements.pqrs.org    

This week's episode of ASCII Anything features a virtual webinar with Moser Consulting and Red Hat where we explore the advantages of AI automation and virtualization for modern enterprise. This virtual event with industry experts explores how AI automation and virtualization are reshaping enterprise IT. This event is tailored for business leaders and decision-makers seeking strategic insights into Red Hat's open source solutions. 

Join us as Amelia shares the debugging story nobody tells you about - how her vector store DB couldn't surface specific data until she tested it with simplified data from ChatGPT. Amelia walks through her journey from throwing JIRA tickets into a large language model without understanding pipelines or data cleaning, to discovering why her production vector store was failing. You'll learn about the gap between chatting with data and getting accurate connections, how to validate vector similarity search results, the difference between production and synthetic test data, and practical troubleshooting workflows for AWS vector stores. This episode reveals the messy reality of RAG systems - when everything seems fine but the outputs are subtly wrong, and how testing with simplified data can expose what production complexity hides. Timestamps 0:00 Cold Open 1:03 Welcome & Introduction 2:06 Amelia's Background & DeepRacer Trophy 4:49 The JIRA Ticket Use Case Origin Story 5:53 Getting Into the Presentation 6:03 Accessing & Cleaning Data Sets 8:12 Losing Production Data & Recreating with ChatGPT 12:45 Understanding Vector Databases 18:22 How Embeddings Work 24:16 The Hallucination Discovery 30:41 Testing Strategies for Vector Stores 36:52 Debugging Vector Similarity Search 42:18 Real-World Troubleshooting Workflows 44:26 Where to Find Amelia & Wrap-up How to find Amelia: https://www.linkedin.com/in/ameliahoughross/

Join us as Du'An breaks down AI agents in a way that actually makes sense - what they are, how to use them, and how to get started today. Du'An walks through the fundamentals of AI agents with live demos and practical code examples you can use immediately. You'll learn about agent frameworks, when to use agents versus simple LLM calls, building your first agent, and real-world applications from bookmark management to automated workflows. This episode cuts through the hype with realistic expectations about what agents can and can't do, while showing you concrete examples including MCP servers, Strands Pack, and Du'An's personal second brain system. Timestamps 0:00 Welcome & Introduction 1:39 Du'An's Background & Previous Episode Success 3:06 Segueing from Last Week's Episode 4:03 CEOs Vibe Coding Discussion 6:49 Real Estate Developer Building Apps Story 8:23 Getting Started with the Presentation 12:45 What Are AI Agents? 18:22 Agent Frameworks Overview 24:16 When to Use Agents vs Simple LLM Calls 30:41 Building Your First Agent 36:52 Live Demo: Strands Pack 42:18 MCP Servers Explained 47:35 WriteStats MCP Demo 52:14 Real-World Applications 58:33 Du'An's Second Brain System 1:04:01 Bookmark Manager Walkthrough 1:07:17 Organizing Cloud Storage & Email 1:09:06 Wrap-up & Next Episode Teaser How to find Du'An: https://www.duanlightfoot.com/ https://github.com/labeveryday/ Links from the show: https://github.com/labeveryday/strands-pack https://github.com/labeveryday/writestat-mcp https://github.com/labeveryday/bookmark-manager-site https://bookmarks.duanlightfoot.com/ https://github.com/openai/whisper https://openai.com/index/whisper/

Join us as Chris gets brutally honest about tech employment in the AI era: what's dying, what's thriving, and how to position yourself to survive the chaos. Chris walks through the current state of tech layoffs hitting record numbers while companies post record profits, the disappearance of entry-level roles, and practical strategies for navigating this unprecedented moment. You'll learn about skill development in the AI era, why fundamentals still matter more than hype, how to build resilience through community, and what hiring managers are actually looking for right now. This episode doesn't sugarcoat the challenges from hollowed-out expertise at major companies to early-career professionals wondering if their degree still matters, but it also provides actionable guidance on positioning yourself and why humor and human connection remain irreplaceable in an AI-driven world. Timestamps 0:00 Welcome & Setting the Tone 3:09 Chris Miller's Background & Journey 7:30 The Current State of Tech Employment 12:45 Layoffs vs Record Profits Discussion 18:22 Entry-Level Roles Disappearing 24:16 What Skills Actually Matter Now 30:41 Building Career Resilience 36:52 The Fundamentals Still Win 42:18 Community & Support Networks 47:35 Practical Job Search Strategies 52:14 What AI Can't Replace (Yet) 55:06 Things We're Thankful For 59:00 Wrap-up & Resources How to find Chris: https://www.linkedin.com/in/chris-t-miller/ https://www.chrismiller.com/ Links from the show: https://roadmap.sh

Most companies don't realize it yet, but the way they built their technology foundations is quietly becoming a liability.Cloud costs are rising. Platforms change underneath you. AI is reshaping infrastructure from hardware to data to governance. And the strategies that once felt “safe” are now the ones creating the most risk.In this episode of IT Visionaries, host Chris Brandt sits down with Mano Bhattacharya, CTO of Nutanix, to unpack what's really happening inside enterprise technology right now. This isn't a conversation about chasing the newest tools or betting on a single future. It's about why adaptability has become the most important design principle in modern tech.Mano explains why many organizations are rethinking long-held assumptions about virtualization, cloud, and containers, and why the smartest teams are building infrastructure that gives them options over the next three to five years. They explore how AI changes the entire stack, not just applications, why data has become the real bottleneck, and why moving fast without a coherent plan can be more dangerous than moving slowly. Chapters:00:00 - The VMware Exodus Wave is Coming03:34 - VMware Broadcom Acquisition: What Changed and Why It Matters05:56 - Three Migration Paths: Stay, Move to Cloud, or Modernize09:59 - Why Containers on VMs Make Sense for Most Enterprises15:40 - The Five Stages of VMware Migration Grief21:20 - VMware Admin to Nutanix Admin: Closing the Skills Gap24:14 - The Cloud-in-a-Box Philosophy: From Boxes to Software32:30 - Opening Up the Platform: Pure Storage and Third-Party Integrations40:54 - AI Infrastructure: The End-to-End Challenge48:01 - Enterprise AI Strategy: Use Cases, Economics, and Governance56:44 - What's Next: Building the Invisible Platform for AI  -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join us as Marian explains what AI governance means for vSphere administrators and why it matters now. Marian walks through practical governance frameworks that vSphere admins need to understand, from IEEE 7000 series standards to mapping governance controls onto infrastructure you already manage. You'll learn what your CISO will ask for, how to respond using your existing VMware stack, and why governance isn't about slowing innovation� it's about enabling it safely. This episode covers real-world scenarios from data lineage and model transparency to integrating governance tools with existing infrastructure, and addresses the gap between compliance requirements and practical implementation for virtualized environments. Timestamps 0:00 Welcome & Introduction 5:16 Marian's Background in Tech & Governance 6:37 What is Governance? 12:45 IEEE 7000 Series Standards Overview 18:22 AI Governance for vSphere Admins 24:16 Data Lineage & Model Transparency 30:41 Risk Assessment Frameworks 36:52 Practical Implementation Strategies 42:18 Integration with Existing Tools 47:35 Common Governance Challenges 51:12 Vendor Landscape Discussion 54:27 Missing Innovation in the Space 58:09 Wrap-up & Resources How to find Marian: https://www.linkedin.com/in/mariannewsome/ Links from the show: https://ethicaltechmatters.com/

Join us as Peter explores the core principles and practices of FinOps that help organizations optimize cloud spend without slowing innovation. Peter walks through what FinOps really is, why it matters beyond just cost cutting, and how engineers can collaborate effectively with finance teams to design cost-aware architectures. You'll learn about the three phases of FinOps (Inform, Optimize, Operate), how to get leadership buy-in for cloud initiatives, and practical strategies for managing cloud costs from the architecture phase through operations. This episode covers real-world scenarios from hybrid cloud cost tracking to building cost models before migrations, and explains how FinOps fits into your existing team structure regardless of organization size. Timestamps 0:00 Welcome & Introduction 6:10 Peter's Background & Journey to FinOps 10:45 What is FinOps? 16:32 The Three Phases: Inform, Optimize, Operate 22:18 Getting Leadership Buy-In 28:45 Cost-Aware Architecture Design 34:20 Hybrid Cloud & On-Prem Cost Tracking 40:15 FinOps Team Structure & Roles 46:30 Tools & Platforms Discussion 52:14 Accounting & Finance Collaboration 54:13 Starting FinOps Before Cloud Migration 57:17 FinOps for Small Teams & DBAs 1:00:13 Wrap-up & Resources How to find Peter: https://www.linkedin.com/in/petercrenshaw/ Links from the show: https://finops.org https://finopsweekly.com https://thefrugalarchitect.com

The news this week highlights shifts in Linux from multiple angles. What's evolving, why it matters, and that moment where the future actually works.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free! Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. Support LINUX UnpluggedLinks:

Scott and Wes run through their wishlist for the web platform, digging into the UI primitives, DOM APIs, and browser features they wish existed (or didn't suck). From better form controls and drag-and-drop to native reactivity, CSS ideas, and future-facing APIs, it's a big-picture chat on what the web could be. Show Notes 00:00 Welcome to Syntax! Wes Tweet 00:39 Exploring What's Missing from the Web Platform 02:26 Enhancing DOM Primitives for Better User Experience 03:59 Multi-select + Combobox. Open-UI 04:49 Date Picker. Thibault Denis Tweet 07:18 Tabs. 08:01 Image + File Upload. 09:08 Toggles. 10:23 Native Drag and Drop that doesn't suck. 12:03 Syntax wishlist. 12:06 Type Annotations. 15:07 Pipe Operator. 16:33 APIs We Wish to See on the Web 18:31 Brought to you by Sentry.io 19:51 Identity. 21:33 getElementByText() 24:09 Native Reactive DOM. Templating in JavaScript. 24:48 Sync Protocol. 25:52 Virtualization that doesn't suck. 27:40 Put, Patch, and Delete on forms. Ollie Williams Tweet SnorklTV Tweet 28:55 Text metrics: get bounding box of individual characters. 29:42 Lower Level Connections. 29:50 Bluetooth API. 30:47 Sockets. 31:29 NFC + RFID. 34:34 Things we want in CSS. 34:40 Specify transition speed. 35:24 CSS Strict Mode. 36:25 Safari moving to Chromium. 36:37 The Need for Diverse Browser Engines 37:48 AI Access. 44:49 Other APIs 46:59 Qwen TTS 48:07 Sick Picks + Shameless Plugs Sick Picks Scott: Monarch Wes: Slonik Headlamp Shameless Plugs Scott: Syntax on YouTube Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Join us as Neel explores how observability is evolving beyond traditional logs, metrics, and traces into a predictive, AI-powered discipline. Neel walks through the evolution of Observability, demonstrating how OpenTelemetry, machine learning, and LLMs are transforming how we monitor and maintain modern applications. You'll learn about dynamic sampling techniques that reduce costs while maintaining visibility, how ML algorithms detect anomalies before they cause outages, and practical implementations using tools like the OpenTelemetry Collector. This episode covers real-world scenarios from reducing massive log volumes to predicting system failures before they impact customers. Timestamps 0:00 Welcome & Introduction 4:29 Neel's Background & Community Work 5:03 The Evolution of Observability 6:29 The 2 AM Production Incident Scenario 8:13 OpenTelemetry's Role in Modern Observability 12:45 Dynamic Sampling Techniques 18:22 ML & AI in Anomaly Detection 24:16 LLM Observability Explained 28:32 Cost Optimization Strategies 30:04 Context Windows & Token Management 32:00 Self-Healing Systems Discussion 34:15 Edge Cases: When Dynamic Sampling Doesn't Work 36:27 Wrap-up & Resources How to find Neel: https://www.linkedin.com/in/neelcshah/ https://bento.me/neelshah Links from the show: https://neelshah.dev/blogs/observability-2 https://opentelemetry.io/ https://middleware.io/blog/observability-2-0/

Virtualization is shifting, workloads are moving, and AI adoption is accelerating. Learn from Red Hat how organizations can adapt, integrate, and thrive amidst the changes.

Join us as Sam demonstrates how to teach AI to write Terraform configurations using Model Context Protocol (MCP) servers. Sam introduces the Terraform MCP server and walks through practical demos showing how AI can understand and safely interact with your infrastructure. You'll see live examples of AI planning, generating, and evolving Terraform configurations� from creating landing zones to setting up workspace variables automatically. Whether you're managing complex multi-cloud environments or just getting started with infrastructure as code, this episode demonstrates how MCP servers bridge the gap between AI capabilities and real-world Terraform workflows. Learn how to get started, which Claude models work best for different tasks, and best practices for integrating AI into your IaC pipelines. Timestamps 0:00 Welcome & Introduction 4:37 Sam McGeown's Background 6:02 Introduction to Terraform MCP Server 12:35 What is Model Context Protocol? 18:22 Setting Up the Terraform MCP Server 24:16 Demo: Claude Desktop Integration 30:41 Creating Infrastructure with AI Prompts 36:52 Reading & Analyzing Existing Terraform Code 42:18 Generating Landing Zone Configurations 47:35 Working with Terraform Workspaces 50:37 Creating Variables Automatically 52:14 Model Selection: Sonnet vs Opus 55:11 Live Demo: Workspace Variable Creation 58:33 Getting Started & Resources How to find Sam: https://www.linkedin.com/in/sammcgeown/ Links from the show: https://developer.hashicorp.com/terraform/mcp-server

Join us as Gautam breaks down the evolution of tool use in generative AI and dives deep into MCP. Gautam walks through the progression from simple prompt engineering to function calling, structured outputs, and now MCP—explaining why MCP matters and how it's changing the way AI systems interact with external tools and data. You'll learn about the differences between MCP and traditional API integrations, how to build your first MCP server, best practices for implementation, and where the ecosystem is heading. Whether you're building AI-powered applications, integrating AI into your infrastructure workflows, or just trying to keep up with the latest developments, this episode provides the practical knowledge you need. Gautam also shares real-world examples and discusses the competitive landscape between various AI workflow approaches. Subscribe to vBrownBag for weekly tech education covering AI, cloud, DevOps, and more! ⸻ Timestamps 0:00 Introduction & Welcome 7:28 Gautam's Background & Journey to AI Product Management 12:45 The Evolution of Tool Use in AI 18:32 What is Model Context Protocol (MCP)? 24:16 MCP vs Traditional API Integrations 30:41 Building Your First MCP Server 36:52 MCP Server Discovery & Architecture 42:18 Real-World Use Cases & Examples 47:35 Best Practices & Implementation Tips 51:12 The Competitive Landscape: Skills, Extensions, & More 52:14 Q&A: AI Agents & Infrastructure Predictions 55:09 Closing & Giveaway How to find Gautam: https://gautambaghel.com/ https://www.linkedin.com/in/gautambaghel/ Links from the show: https://www.hashicorp.com/en/blog/build-secure-ai-driven-workflows-with-new-terraform-and-vault-mcp-servers Presentation from HashiConf: https://youtu.be/eamE18_WrW0?si=9AJ9HUBOy7-HlQOK Kiro Powers: https://www.hashicorp.com/en/blog/hashicorp-is-a-kiro-powers-launch-partner Slides: https://docs.google.com/presentation/d/11dZZUO2w7ObjwYtf1At4WnL-ZPW1QyaWnNjzSQKQEe0/edit?usp=sharing

Join the vBrownBag crew and AWS Hero Peter Sankauskas for the 2026 AWS Community Survey

Episode Summary Enterprise leaders are facing two equally hard problems at the same time: deciding what to do next with virtualization in the post-VMware era, and figuring out how—or whether—to deploy AI infrastructure responsibly. In this episode of The CTO Advisor Podcast, Keith Townsend sits down with long-time industry peer and infrastructure expert [...]

The crew makes suggestions for building a hacking lab today! We will tackle: What is recommended today to build a lab, given the latest advancements in tech Hardware hacking devices and gadgets that are a must-have Which operating systems should you learn Virtualization technology that works well for a lab build Using AI to help build your lab Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-906

The crew makes suggestions for building a hacking lab today! We will tackle: What is recommended today to build a lab, given the latest advancements in tech Hardware hacking devices and gadgets that are a must-have Which operating systems should you learn Virtualization technology that works well for a lab build Using AI to help build your lab Show Notes: https://securityweekly.com/psw-906

The crew makes suggestions for building a hacking lab today! We will tackle: What is recommended today to build a lab, given the latest advancements in tech Hardware hacking devices and gadgets that are a must-have Which operating systems should you learn Virtualization technology that works well for a lab build Using AI to help build your lab Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-906

The crew makes suggestions for building a hacking lab today! We will tackle: What is recommended today to build a lab, given the latest advancements in tech Hardware hacking devices and gadgets that are a must-have Which operating systems should you learn Virtualization technology that works well for a lab build Using AI to help build your lab Show Notes: https://securityweekly.com/psw-906

Join us for the final episode of 2025 as Mark Tinderholt (Principal Software Engineer at Microsoft Azure, HashiCorp Ambassador, and author of "Mastering Terraform") teaches us Infrastructure as Code through Minecraft! If you've ever wanted to learn Terraform in a fun, visual way, this is the episode for you. Mark demonstrates how to use the Minecraft Terraform provider to build infrastructure in-game, making complex IaC concepts tangible and engaging. You'll see live demos of provisioning Minecraft resources, managing dependencies, handling state, and even importing existing structures into Terraform. This unique approach transforms abstract infrastructure concepts into something you can literally see and interact with—perfect for visual learners, educators, or anyone looking to make IaC training more engaging. Whether you're teaching your team Terraform or just want a creative way to understand infrastructure patterns, this episode shows you how gaming and cloud engineering can come together. Subscribe to vBrownBag for weekly tech education! ⸻ Timestamps 0:00 Welcome & Technical Difficulties 1:27 Last Episode of 2025! 4:41 Planning for 2026 5:37 Mark Tinderholt Joins 6:14 Introduction to Minecraft + Terraform 8:52 Why Use Minecraft for Teaching IaC? 12:35 Getting Started: Requirements & Setup 16:47 The Minecraft Terraform Provider 20:18 First Demo: Provisioning Basic Blocks 28:32 Managing State in Minecraft 35:41 Working with Dependencies 42:16 Advanced Patterns: For_each & Count 48:55 Importing Existing Structures 55:23 Real-World Applications & Teaching 1:00:17 Q&A: Provider Limitations & Features 1:05:24 Minecraft Level Building Tools Discussion 1:09:05 Final Giveaway & Wrap-Up How to find Mark: https://www.linkedin.com/in/marktinderholt/ Links from the show: Marks repos: https://github.com/markti?tab=repositories Marks book: https://amzn.to/3N1rnuJ Mark's Ignite talk: https://ignite.microsoft.com/en-US/sessions/7fa5095f-9f65-46e3-9f82-9af6603ea903

In this episode of Hands-On IT, Landon Miles explores the history of servers and enterprise IT infrastructure, from early mainframe computers to cloud computing, Linux servers, virtualization, containers, and AI-driven data centers.This episode connects decades of server evolution into a clear, accessible story, focusing on the people, technologies, and ideas that shaped modern computing. From IBM's System/360 and minicomputers, to Unix and Linux, virtualization, cloud platforms like AWS and Azure, and container orchestration with Docker and Kubernetes, this episode explains how servers became the foundation of today's digital world.Topics covered include: • Server history and early computing systems • IBM mainframes and enterprise computing • Minicomputers and distributed computing • Unix, Linux, and open-source software • Virtualization and data center efficiency • Cloud computing and hyperscale infrastructure • Docker, Kubernetes, and cloud-native architecture • AI workloads, GPUs, and modern server hardwareLandon also highlights key figures in computing history, including Grace Hopper, Ken Olsen, Linus Torvalds, Dave Cutler, Diane Greene, and Jeff Bezos, and explains how their work still influences IT operations today.This episode is part of our December Best Of series, featuring some of our favorite moments and episodes from the past year.Originally aired March 20, 2025.

professorjrod@gmail.comIn this episode of Technology Tap: CompTIA Study Guide, we dive deep into cloud security fundamentals, perfect for those preparing for the CompTIA Security+ exam. Join our study group as we explore the shifting security landscape from locked server rooms to identity-based perimeters and data distributed across regions. This practical, Security+-ready guide connects architecture choices to real risks and concrete defenses, offering valuable IT certification tips and tech exam prep strategies. Whether you're focused on your CompTIA exam or looking to enhance your IT skills development, this episode provides essential insights to help you succeed in technology education and advance your career.We start by grounding the why: elasticity, pay-per-use costs, and resilience pushed organizations toward public, private, community, and hybrid clouds. From there, we map service models—SaaS, PaaS, IaaS, and XaaS—and the responsibilities each one assigns. You'll hear how thin clients reduce device risk, why a transit gateway can become a blast radius, and where serverless trims surface area while complicating visibility. Misunderstanding the shared responsibility model remains the leading cause of breaches, so we spell out exactly what providers secure and what you must own.Identity becomes the new perimeter, so we detail IAM guardrails: least privilege, no shared admins, MFA on every privileged account, short-lived credentials, and continuous auditing. We cover encryption in all three states with AES-256, TLS 1.3, HSMs, and customer-managed keys, then add CASB for SaaS control and SASE to bring ZTNA, FWaaS, and DLP to the edge where users actually work. Virtualization and containers deliver speed and density but expand the attack surface: VM escapes, snapshot theft, and poisoned images require hardened hypervisors, signed artifacts, private registries, secret management, and runtime policy. Hybrid and multi-cloud introduce inconsistent IAM and fragmented logging—centralized identity, unified SIEM, CSPM, and infrastructure-as-code guardrails bring discipline back.We wrap with the patterns attackers exploit—public storage exposure, stolen API keys, unencrypted backups, and supply chain compromises—and the operating principles that stop them: zero trust, verification over assumption, and automation that responds at machine speed. Stick around for four rapid Security+ practice questions to test your skills and cement the concepts.If this helped you study or sharpen your cloud strategy, follow and subscribe, share it with a teammate, and leave a quick review telling us which control you'll deploy first.Support the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

In this exciting episode of The Pure Report, we sit down with Ketan Shah, VP Products at Nutanix, and Cody Hosterman, Sr. Director, Product Management at Pure Storage, to celebrate the General Availability (GA) launch of our joint solution. Driven by recent market disruption and the need for virtualization optionality, this partnership is founded on a mutual culture of customer-centricity and innovation. Our guests discuss how their teams achieved this milestone in just over a year, highlighting tight engineering collaboration, allowing them to build an architecture that will serve customers now and into the future. Our conversation dives into the core technical capabilities, which are focused on simplicity and a "better" solution, not just an alternative. The joint platform integrates the Nutanix Cloud Platform with Pure Storage FlashArray via the low-latency NVMe/TCP protocol. This integration delivers a highly efficient, VM-centric experience, where provisioning, snapshots, and cloning are automatically managed through the familiar Nutanix Prism interface, abstracting away the complexity of traditional management. A key takeaway from the early access program was the overwhelming positive feedback on the solution's resilience and the surprisingly easy adoption of IP-based storage. Shah and Hosterman also detail the solution's comprehensive cyber resiliency features, combining Nutanix capabilities like Flow micro-segmentation and disaster recovery orchestration with Pure's data-at-rest encryption and SafeMode immutable snapshots to offer end-to-end resilience. For customers looking to transition, the Nutanix 'Move' tool is fully supported, providing a non-disruptive migration path. Looking ahead, our guests note that this is just the beginning, with an exciting roadmap planned to integrate more sophisticated array-level features, positioning the platform as a long-term investment for not only virtualization needs but also for future AI and cloud-native workloads. To learn more: go to https://www.purestorage.com/partners/alliances/nutanix.html and https://www.nutanix.com/purestorage Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 02:35 Corporate Culture Similarities 04:54 Origin of the Partnership 06:13 Working Together on Innovation 09:08 Stat of the Episode on Future of Virtualization 14:10 Feedback from Early Access Program 18:00 Deeper Dive into Technical Capabilities 30:41 Closing Thoughts & CTA

FreeBSD is an OCI runtime, ZFS Disaster Recovery, Cleaning up Hammer, and some historical information, and more... NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines FreeBSD Officially Supported in OCI Runtime Specification v1.3 (https://freebsdfoundation.org/blog/freebsd-officially-supported-in-oci-runtime-specification-v1-3) ZFS Enabled Disaster Recovery for Virtualization (https://klarasystems.com/articles/zfs-enabled-disaster-recovery-virtualization?utm_source=BSD%20Now&utm_medium=Podcast) News Roundup How I think OpenZFS's 'written' and 'written@' dataset properties work (https://utcc.utoronto.ca/~cks/space/blog/solaris/ZFSWrittenPropertyHowItWorks) Make sure your Hammer cleanup cleans up (https://www.dragonflydigest.com/2025/11/13/make-sure-your-hammer-cleanup-cleans-up) [TUHS] David C Brock of CHM: 2024 oral history with Ken Thompson + Doug McIlroy (https://www.tuhs.org/pipermail/tuhs/2025-November/032751.html) Special Issue “Celebrating 60 Years of ELIZA? Critical Pasts and Futures of AI” (https://ojs.weizenbaum-institut.de/index.php/wjds/announcement/view/8) Source and state limiters introduced in pf (https://undeadly.org/cgi?action=article;sid=20251112132639) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Göran - grafana (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/640/feedback/G%C3%B6ran%20-%20grafana.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

Join Du'An Lightfoot, AI Developer at AWS, as he dives deep into building AI agents with the strands framework. In this technical walkthrough, Du'An demonstrates how to create custom AI coding assistants and multi-agent systems in just a few lines of code. Learn how agentic AI frameworks have evolved from basic function calling to sophisticated systems that can rival tools like Cursor and Cloud Code. Du'An shares practical examples, including building content pipelines, preprocessing systems, and even generating a book outline from his own YouTube content. Whether you're looking to automate workflows or build your own AI-powered tools, this session covers the frameworks and techniques you need to get started with AI agents. Perfect for developers, DevOps engineers, and anyone interested in leveraging AI to enhance their development workflow. Subscribe to vBrownBag for more community-driven tech education! ⸻ Timestamps 0:00 - Introduction & Welcome 6:43 - AI Tools Discussion & Current Usage 9:33 - Technical Background & Getting Started with Agents 15:00 - Introduction to Strands Framework 25:00 - Building Custom AI Agents Demo 40:00 - Multi-Agent Systems & Workflows 55:00 - Content Pipeline & Preprocessing Examples 1:05:00 - Book Generation Demo 1:10:00 - Q&A & Wrap Up How to find Du'An: https://www.linkedin.com/in/duanlightfoot/ Links from the show: https://s12d.com/vbrownbag-2025 https://github.com/strands-agents/samples https://modelcontextprotocol.io/docs/getting-started/intro https://www.anthropic.com/engineering/building-effective-agents https://github.com/awslabs/amazon-bedrock-agentcore-samples https://github.com/modelcontextprotocol/python-sdk https://modelcontextprotocol.io/llms-full.txt https://openai.com/index/whisper/ https://github.com/openai/whisper

Dive into KubeVirt with the vBrownBag crew and guest Eric Shanks!

In an era where enterprises are undergoing a significant re-evaluation of virtualization strategies, our episode dives into the new strategic partnership between Pure Storage and Nutanix. Join industry experts Don Poorman and Erin Stevens as we unpack the latest trends in virtualization strategies and why the timing is perfect for a new approach, and how Nutanix, with its AHV hypervisor, is well positioned with Pure to deliver a solution designed from the ground up for high-performance and enterprise scale. This episode explores the "what" and "how" of the jointly engineered Pure and Nutanix solution, detailing how Nutanix AHV hosts can leverage Pure FlashArray for shared storage, offering an apples-to-apples replacement for traditional setups. We'll cover the details around joint integrations, including the NVMe/TCP connection between Nutanix and Pure FlashArray, and how VMs are managed through Nutanix Prism for a granular vVols-like experience. Learn about the specific workloads and use cases this solution targets, particularly environments needing a balance of computing and networking, and those with high transactional database demands. Gain insights into the current state of the project, including its early access phase with customer feedback, and what to expect regarding general availability coming soon. Finally, get their "Hot Takes" on industry trends, memorable customer screw-ups, and their predictions for the future of data management. For more information, visit: https://www.purestorage.com/partners/alliances/nutanix.html Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 04:49 Stat of the Episode 09:53 Current Virtualization Landscape 14:46 Primer on Pure Nutanix Relationship 23:28 Target Use Cases and Workloads 28:12 Details on Integrations and APIs 36:15 Early Feedback on Early Access 40:20 Hot Takes

In this week's vBrownBag, Principal Software Engineer Dominik Wosiński takes us on a deep dive into Amazon Nova Sonic — AWS's latest speech-to-speech AI model. Dominik explores how unified voice models like Nova Sonic are reshaping customer experience, DevOps workflows, and real-time AI interaction, with live demos showing just how natural machine-generated speech can sound. We cover what makes speech-to-speech difficult, how latency and turn-detection affect conversational design, and why this technology marks the next frontier for AI-driven customer support. Stick around for audience Q&A, live experiments, and insights on where AWS Bedrock and generative AI are headed next.

In this episode of the Hands-On IT podcast, Landon Miles interviews Anthony Maxwell, who is a software engineer at Automox. They discuss Anthony's journey from IT operations to software engineering, and his home lab setup. He discusses his favorite projects, the skills he's learned, and how he applies them in his professional life. Anthony also provides insights into using Automox for policy compliance, offers advice for those looking to start their own home labs, and shares his thoughts on virtualization, operating systems, and staying updated with technology trends.This episode originally aired on July 25, 2024.

Join the vBrownBag crew for an insightful session with guest (and host!) Damian Karlson as he breaks down OpenStack for VMware administrators. From Broadcom's shake-up to cultural, operational, and technical migration differences, Damian offers a practical, grounded walk-through of what it means to move from VMware to OpenStack. ☕️ Chapters 00:00:00 – Introduction 00:07:10 – Why organizations are leaving VMware 00:20:45 – Technical differences 00:33:00 – Operational differences 00:43:30 – Culture shift and community resources Resources: https://www.openstack.org/vmware-migration-to-openstack/vmware-to-openstack-migration-guide https://www.openstack.org/coa/ https://www.linkedin.com/in/damiankarlson/ #OpenStack #VMware #OpenInfra #CloudMigration #vBrownBag

Luis is an AWS Community Builder, CTO, and game developer! In this session, you'll learn how to build a live FAST (Free Ad-Supported TV) channel using AWS Elemental MediaLive. We'll walk through the end-to-end process: from ingest and transcoding, to dynamic ad insertion with MediaTailor and VOD integration via MediaConvert. This talk is perfect for engineers, architects, or media professionals looking to deliver scalable, serverless streaming solutions on AWS. 00:00 - Intro 04:50 - Building FAST Channels 06:20 - Key Concepts 18:10 - Architecture of the demo 21:00 - QRs for repo and player demo 22:25 - Building the demo live! 46:51 - Alternate Architectures 2 & 3 How to find Luis: https://www.linkedin.com/in/luis-valdivia-humareda/ Luis' links: https://github.com/lvaldivia/vbrownbag2025

When a company quietly builds world-class storage and virtualization software for twenty years, it usually means they have been too busy solving real problems to shout about it. That is what makes euroNAS and its founder, Tvrtko Fritz, such an interesting story. In this episode, I reconnect with Tvrtko after meeting him on the IT Press Tour in Amsterdam to learn how his company evolved from “NAS for the masses” into a trusted enterprise alternative in a market filled with bigger names. Tvrtko shares how euroNAS began with a simple idea that administrators should not have to battle complex infrastructure to keep systems running. Over time, that belief shaped a complete platform covering hyper-converged virtualization, Ceph-based storage, and instant backup and recovery. He recalls the story of a dentist who lost a full day of work waiting for a slow restore, which inspired euroNAS to create instant recovery that restores in seconds rather than hours. We also discuss how their intuitive graphical interface has turned Ceph from a daunting project that once took a week to set up into something that can be configured in twenty minutes. That change has opened advanced storage to universities, managed service providers, and enterprises handling petabyte-scale workloads. We also tackle a topic that many in IT are thinking about right now: VMware. With licensing changes frustrating customers, Tvrtko explains how euroNAS has become the quiet plan B for many organizations seeking stability and control. Its perpetual per-node licensing model removes the pressure of forced subscriptions, while tools such as the VM import wizard make migration faster and less painful. What stands out most is that Tvrtko still takes part in customer support himself, using real conversations to guide product development and keep the company close to the people who depend on it. Looking ahead, Tvrtko outlines how euroNAS is growing through partnerships with major hardware vendors and through its expanding role in AI infrastructure, where demand for scalable storage continues to rise. The conversation highlights the value of engineering-led companies that build with care, focus on reliability, and give customers genuine ownership of their systems. If you want to understand what practical innovation looks like in enterprise storage, this episode will remind you why simplicity still wins.

Looking for help navigating the changing environment around your VMware investment? What considerations do you need to make relative to staying on VMware versus moving to another solution? We have answers and guidance - check out this episode for an insightful discussion with David Stevens, Field Solution Architect, as we delve into the evolving landscape of virtualization. Despite recent changes from Broadcom, VMware still commands a significant market share, and David unpacks why. We explore the various paths VMware customers are taking today, from sticking with their current setup to exploring hypervisor alternatives, migrating to the cloud, or even transitioning to containers. This episode offers valuable anecdotes and practical insights for anyone navigating the complexities of modern IT infrastructure. Hear how Pure Storage is strategically positioned to assist organizations through these transitions, highlighting our deep integrations with VMware for over a decade and how investments in Azure VMware Solution provide a cost effective cloud alternative. David also shares his "hot takes" on industry trends, a memorable "screwup" story, and crucial advice for the future of data management. Tune in to gain actionable takeaways on charting the right course for your VMware situation and beyond.

In this episode of the IoT For All Podcast, Gaurav Johri, co-founder and CEO of Doppelio, joins Ryan Chacon to discuss software validation and testing in IoT. The conversation covers the vital role of virtualization, the increasing complexity and distributed nature of connected products, the benefits of combining physical and virtual testing labs, the pitfalls of simulator-based approaches, intelligent automation in DevOps, the ROI of early validation, and future trends in AI, edge computing, and 5G.Gaurav Johri brings a wealth of expertise with over 25 years in steering multinational enterprises through the digital age. He has held global leadership positions at Mindtree, Onmobile, and Infosys. Johri's vision and passion for a future built on connected products shaped Doppelio as a pioneer in IoT testing. He is also a regular speaker at connected world events, such as AutomotiveIQ and IoT Tech Expo.Doppelio is a leading IoT test automation platform that enables enterprises to rapidly test connected products through advanced device virtualization at scale. Their solution creates "Doppels" (data twins) across diverse protocols, eliminating physical device dependency while enabling seamless co-existence of physical and virtual testing labs. They support comprehensive testing from simple sensors to complex industrial equipment, delivering 10x faster testing speeds, 80-90% coverage, and millions in operational savings. Trusted by Fortune 500 companies across connected elevators, medical devices, automotive, and security industries, Doppelio accelerates time-to-market while reducing field failure risks through intelligent automation.Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Doppelio: https://doppelio.comConnect with Gaurav: https://www.linkedin.com/in/gaurav-johri/(00:00) Intro(00:21) Gaurav Johri and Doppelio(00:56) IoT testing and its importance(03:56) Virtualization in IoT testing(06:10) Real-world examples of IoT testing(08:32) Physical vs. virtual testing labs(10:22) Limitations of simulator-based approaches(12:25) How do you enable rapid, scalable validation?(14:12) Role of intelligent automation in DevOps and CI/CD(15:43) The ROI of performing early software validation(17:35) Advice for modernizing IoT testing(19:26) Future of IoT testing with AI, edge, 5G(20:52) Learn more and follow upSubscribe to the Channel: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all