The On-Premise IT Roundtable Gestalt IT

Enterprise IT is constantly oscillating between centralized and distributed, and we’re currently in a period of repatriation of workloads from the cloud. This episode of the On-Premise IT podcast features three delegates from Cloud Field Day 17, Joey D’Andoni, Eric Wright, and Jason Benecicic, discussing the reality of repatriation of cloud applications with Stephen Foskett of Gestalt IT. Pundits constantly tout the money they save by repatriating from public cloud, but this might not be the best choice especially for smaller organizations. The only way to ensure functionality between on-prem, hybrid, and public cloud is to use them and use each where it is the best solution. Repatriation is especially challenging for today’s SaaS-oriented businesses, since most of these solutions can’t be run on-prem. But even workloads that can be run outside the cloud will likely require re-architecting to run locally. Yet many companies are developing software to ease the transition to and from the cloud, and these make it much easier to repatriate.



















Finding the Cloud’s Sweet Spot: Navigating Workload Challenges and Unleashing the Power of Hybrid Solutions







Enterprise technology has witnessed a pendulum swing between centralized and distributed models, with the cloud representing a distributed approach. However, challenges persist in determining the suitability of cloud for different workloads, considering factors like performance and cost profiles. This has prompted a reevaluation of the cloud’s effectiveness for certain applications.







Early cloud adopters often faced the realization that their expectations of cost savings and architectural understanding were not always met. This led to a shift back to on-premises environments. However, technological advancements have reignited the assessment of the cloud’s true cost-effectiveness, highlighting the ongoing challenge of predictability that software solutions have yet to fully address.







The initial allure of cloud services was driven by the expertise and offerings of major providers like AWS and Microsoft, which catered to specific purposes and modern workloads that organizations couldn’t handle internally. Over time, hardware advancements and distributed skill sets made running workloads in the cloud more manageable. However, challenges arise when evaluating the benefits of on-premises solutions, particularly for technology-focused organizations with substantial investments and engineering staff.







The polarized narrative of being exclusively “all-in” or “all-out” of the cloud fails to recognize the value of hybrid models and the nuanced decision-making required for different workloads and architectures. It is crucial to move beyond trends and focus on evaluating applications and workloads based on their specific needs, using sensible and proven approaches.







The cloud offers flexibility, burst capacity, and programmable workload deployment, making it suitable for certain tasks. Instead of abandoning the cloud solely based on cost considerations, organizations can adopt a hybrid approach, strategically choosing which workloads are best suited for on-premises environments and which benefit from the cloud’s capabilities.







To optimize cloud adoption, organizations must continuously evaluate their strategies, leveraging tools and evaluating cost models to determine which workloads may be better suited for on-premises environments. Challenges related to storage performance, costs, and capturing accurate metrics must be addressed to ensure cost-efficiency and predictable outcomes.







The perception of the cloud as “broken” often stems from human decisions ...

As NAND flash memory technology has evolved, MLC, TLC, and QLC has been perceived to compromise both reliability and performance. In this episode of the On-Premise IT podcast, we confront the reality of Quad-Level Cell (QLC) SSDs, shedding light on their capabilities and suitability for today’s workloads. Roger Corell of Solidigm, who sponsored this episode, discuss QLC SSD with Karen Lopez, Alastair Cooke, and Stephen Foskett. The industry is increasingly embracing the benefits of QLC SSDs for mainstream workloads, and this discussion debunks common misconceptions, emphasizing the equivalent reliability, performance, and quality of QLC, TLC, and MLC SSDs. With the shifting landscape of read-intensive workloads and the growing data demands, QLC SSDs offer an efficient and cost-effective solution for mainstream applications.















On-Premises for Today’s Spotlight Podcast:











Panelists







Karen Lopez







Alastair Cooke











Twitter







@DataChick







@DemitasseNZ











Solidigm Panelist:







Roger Corell, Director Solution Marketing at Solidigm. Find out more about Solidigm’s SSDs and other products on their website.











Moderator







Stephen Foskett











Twitter







@SFoskett











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The Rise of QLC SSDs for Mainstream Workloads







As technology evolves, there are often trade-offs between reliability, performance, and capacity. This has been especially true in the world of NAND flash memory, where multi-level cell (MLC) technology has long been perceived to compromise both reliability and performance. However, in this episode of the On-Premise IT podcast, sponsored by Solidigm, industry experts confront the reality of Quad-Level Cell (QLC) SSDs, shedding light on their capabilities and suitability for today’s workloads. Roger Corell of Solidigm is joined by Karen Lopez, Alastair Cooke, and Stephen Foskett, in a discussion of the advantages of QLC SSDs.







In recent years, workloads have shifted towards being more read-intensive, aligning perfectly with the capabilities of QLC flash technology. Solidigm’s fourth-generation QLC SSD drives are a testament to this evolution, delivering impressive capacities of up to 32 TB, a wide range of high-density form factors, and cost-effectiveness tailored for mainstream workloads. These SSDs have even made their way into new form factors like EDSFF E3, offering improved cooling and density for applications beyond traditional data centers and the cloud.







One of the persistent misconceptions surrounding QLC SSDs is the belief that increased bit per cell density significantly impacts read performance. However,

The industry is excited to implement Wi-Fi 6E with all the new devices coming out. Even with regulatory challenges the world is ready for faster connectivity and more reliable signal. But those same regulatory challenges are just part of the myriad of issues. Standards bodies, marketing teams, and even users themselves are asking why it’s taking so long to implement Wi-Fi 6E even after it has been brought to market faster than any Wi-Fi standard in the past. Is that because we gave up too many things to get it here? In this episode, Tom Hollingsworth talks to Sam Clements, Avril Salter, and Mario Gingras to find out whether Wi-Fi 6E got here so fast because we left so much of it behind.















On-Premises for Today’s Podcast:











Panelists







Dr. Avril Salter







Sam Clements







Mario Gingras







Moderator







Tom Hollingsworth











Twitter







@AvrilSalterUSA







@Samuel_Clements







@GingMar







Twitter







@NetworkingNerd











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There is a wide gap between storing data and making it useful, and it is getting worse with the growing volume of unstructured data. In this episode of On-Premise IT Podcast presented to you by Hammerspace, delegates Justin Warren and Chris Evans get together with Hammerspace’s Head of Global Marketing, Molly Presley, to drill into the pains of managing unstructured data, and learn how Hammperspace addresses them with data orchestration. Data orchestration takes the one-dimensional approach of storing data, to the next level that is cleaning, organizing, enriching and making data accessible across systems. It makes it possible to move large volumes of data across distances. Not bound by any one data or infrastructure type, data orchestration helps businesses handle new kinds of complex data and keep up with their changing uses.















On-Premises for Today’s Spotlight Podcast:











Panelists







Justin Warren







Chris Evans











Twitter







@JPWarren







@ChrisMEvans











Hammerspace Panelist:







Molly Presley, Head of Global Marketing at Hammerspace. Connect with Molly on LinkedIn or learn more on the Hammerspace website.











Moderator







Stephen Foskett











Twitter







@SFoskett











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Key Points







Data orchestration involves the movement and utilization of data regardless of its location or format. The challenges posed by unstructured data and the rise of edge computing have emphasized the need for efficient data orchestration solutions. Over the past two decades, the transition has shifted from structured to unstructured data, requiring complex workflows and interconnections between different data types. Unstructured data, such as genomics data, microscopy data, and multimedia data, necessitates effective data orchestration for proper management and utilization.







Technology advancements have enabled the decoupling of metadata from individual storage systems, allowing for distributed orchestration and flexibility in leveraging unstructured data. The focus is now on leveraging technology to enable desired actions with data, rather than being constrained by traditional tools. The shift towards NoSQL databases and data lakes reflects the need to make both structured and unstructured data useful and break free from tool limitations. Efficient data orchestration enhances workflows by facilitating data transformations, metadata application, collaboration, archival, retrieval, and interaction, while allowing for flexibility in storage systems and applications.

Private 5G is coming to the enterprise near you. Deploying this hot new wireless and mobility technology is a great way to overcome challenges with Wi-Fi and allow IoT devices to be provisioned quickly in remote locations. But with new technologies come new complexity. Can Wi-Fi engineers figure out how to make these two solutions co-exist? And does the complexity of 5G radio technology mean we have to choose between one or the other? In this episode, Avril Salter, Troy Martin, and Keith Parsons discuss the complexity of Private 5G and whether or not it can be simplified for the enterprise.















On-Premises for Today’s Podcast:











Panelists







Dr. Avril Salter







Troy Martin







Keith Parsons







Moderator







Tom Hollingsworth











Twitter







@AvrilSalterUSA







@TroyMart







@KeithRParsons







Twitter







@NetworkingNerd











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Although the Utilizing Edge podcast dives deep into the topic of edge computing, it’s worth considering the topic from other perspectives. This episode of the On-Premise IT podcast features Andy Banta, Jim Jones, and Gina Rosenthal discussing the reality of edge with Stephen Foskett, host of Utilizing Edge. After a quick consideration of the various devices that could be considered edge, from mobile phones to 5G base stations to software to Intel NUCs, we discuss the requirements and demands of edge computing. But there are many similarities with datacenter and cloud, including virtual machines and containers, Kubernetes and firewalls, hyper-converged infrastructure and SD-WAN.















On-Premises for Today’s Podcast:











Panelists







Andy Banta







Jim Jones







Gina Rosenthal







Moderator







Stephen Foskett











Twitter







@AndyBanta







@K00laidIT







@Digi_Sunshine







Twitter







@SFoskett











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