Videos Archive - Page 87 of 280

Appearance: Xilinx Presents at Tech Field Day 23

Company: Xilinx

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Personnel: Martin Porter, Steve Pope

Enterprises and cloud providers alike can now dynamically reconfigure their data centers to address rapidly changing requirements and application performance needs, while reducing costs. Xilinx Fellow, Steve Pope, PhD., and VP, Martin Porter, discuss how the composable data center can deliver hardware acceleration for critical networking applications while leveraging the flexibility of software definition with the SN1000 SmartNIC.

How Xilinx is Delivering the Composable Data Center

Appearance: Xilinx Presents at Tech Field Day 23

Company: Xilinx

Video Links:

Vimeo: How Xilinx is Delivering the Composable Data Center
YouTube: How Xilinx is Delivering the Composable Data Center

Personnel: Ivo Bolsens

CPUs have reached scalability limits. Modern data center applications require efficiency and disaggregation of resources for scalability and provisioning. CTO Ivo Bolsens discusses data center architecture trends and how the disaggregated nature of the Xilinx composable data center will enable heterogenous fabrics to be allocated for new and complex workloads.

The Future of Adaptable Computing in the Data Center with Xilinx

Appearance: Xilinx Presents at Tech Field Day 23

Company: Xilinx

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Personnel: Salil Raje

A disruptive new architecture is emerging that will enable a disaggregated, dynamically reconfigurable data center infrastructure. Known as “The Composable Data Center,” it will offer the best of all worlds – scalable performance with low latency, rapid reconfigurability for changing workloads, and significantly reduced TCO. Salil Raje Executive VP and GM, discusses Xilinx’s adaptive technology, and explains why FPGAs are ideally suited to deliver composability at multiple levels – the key enabler to the industry transition.

Edge, Mainframe, FS Cloud, and ML with Hazelcast, IBM, and Intel

Appearance: Hazelcast Presents at Tech Field Day 23

Company: Hazelcast

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Personnel: Dale Kim

Dale Kim, Sr. Director of Technical Solutions, will walk through Hazelcast’s partnership with IBM and Intel and how we’re working together on a number of use cases tied to edge computing, mainframe optimization, IBM Cloud and more. Kim presents cloud-native deployment of Hazelcast in IBM Cloud with Red Hat OpenShift and edge computing with IBM’s Edge Ecosystem. He also presents mainframe integration with hybrid cloud built on IBM Red Hat OpenShift. Next Kim turns to fast compute and memory with Intel Optane PMem and Xeon Scalable CPUs. Finally, Kim presents use cases for Hazelcast, including caching, fast restart with Optane, on-demand analytics, continuous query with drill down, and a payment processing reference architecture.

How Hazelcast Jet Can Monitor Financial Trades

Appearance: Hazelcast Presents at Tech Field Day 23

Company: Hazelcast

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Vimeo: How Hazelcast Jet Can Monitor Financial Trades
YouTube: How Hazelcast Jet Can Monitor Financial Trades

Personnel: Neil Stevenson

Field CTO, Neil Stevenson, will showcase how Hazelcast Jet, a real-time streaming engine, can be used by banks and investors to monitor trades. The financial industry must monitor trades in real time, but traditional solutions delay analysis for batch processing. Hazelcast Jet can process streams of data in real time for near-real-time visibility with a simplified processing pipeline.

Hazelcast In-Memory Data Grid Overview and Use Cases

Appearance: Hazelcast Presents at Tech Field Day 23

Company: Hazelcast

Video Links:

Personnel: Dale Kim

Sr. Director of Technical Solutions, Dale Kim, will dive into Hazelcast’s in-memory data grid and event stream processing engine. He will also highlight some interesting and innovative use cases built by Hazelcast customers. After presenting the differences between the open source and enterprise editions of Hazelcast’s solution, Kim presents an architectural discussion of distributed computing using Hazelcast, including a look at data flows (streams and ad hoc requests), and where Hazelcast fits into enterprise application architecture. Hazelcast can ingest data from a variety of sources, including Kafka, MQ, IoT, enterprise applications, files, sockets, and database events, and output actionable content to these. Hazelcast acts as a system of record for distributed data in a cloud-first, memory-first, fast, reliable, and simplified way, providing low latency with resilience.

Demonstrating Vehicle Telemetry Solutions with Hazelcast

Appearance: Hazelcast Presents at Tech Field Day 23

Company: Hazelcast

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Personnel: Terry Walters

Sr. Solutions Architect, Terry Walters, will present a vehicle telemetry demo that shows how real-time in-memory technologies from Hazelcast can be used to ensure safe driving at manufacturing plants and beyond. After discussing the challenges of vehicle navigation, Walters presents a telemetry solution using mobile devices, a web application, and real-time event ingestion, dynamic rule execution, and inferred events on the hazel cast platform. The example includes Netty, Hazelcast JET and IMDG, and Jetty to ingest and query data. Walters then discusses this solution in depth with the Tech Field Day delegates.

Introducing In-Memory Computing with Hazelcast

Appearance: Hazelcast Presents at Tech Field Day 23

Company: Hazelcast

Video Links:

Vimeo: Introducing In-Memory Computing with Hazelcast
YouTube: Introducing In-Memory Computing with Hazelcast

Personnel: Kelly Herrell

CEO Kelly Herrell provides a quick overview of Hazelcast, its history and the future of the leading in-memory computing platform. He begins with some background on the market and Hazelcast’s success to date, providing in-memory compute solutions on a global scale and growing rapidly. Industry trends like Kubernetes, micro services, hybrid cloud, edge computing, and machine learning are driving adoption of in-memory computing to empower applications to act instantaneously on data. It is used in payment processing, fraud detection, e-commerce, and edge computing, offering real-time processing and low latency for applications. Hazelcast is a boundary less modern digital compute and data layer for fast data and compute.

Micron Technology Leadership and Manufacturing Excellence

Company: Micron

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Personnel: Naga Chandrasekaran, Raj Hazra

Dr. Naga Chandrasekaran, Senior Vice President, Process R&D and Operations, Technology and Products Group, discusses Micron’s technology leadership and manufacturing excellence. For the first time in the company’s history, Micron is leading on both DRAM (1 alpha) and NAND (176 layer) technology at the same time. We’ll talk about how Micron drives innovation – how we continue to drive improvements in memory power, performance and cost as well as metallization, process margins and equipment requirements in our emerging memory technologies.

Micron’s Roadmap for Memory and Storage Innovation

Company: Micron

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Personnel: Malcolm Humphrey, Roger Peene

Malcolm Humphrey, VP, General Manager, Core Compute and Networking Business Unit, discusses Micron’s roadmap for memory and storage innovation along with Roger Peene, Vice President and GM, Data Center Storage, Storage Business Unit. Memory and storage innovation is critical to data center evolution. On the memory side, Micron offers a complete memory portfolio to address current workload needs – HBM, DDR, LPDDR and GDDR and has a vision for the future data center that includes the DDR5 transition as well as CXL attached memory. On the storage side, Micron’s vision includes fast storage, capacity storage, HDD storage and archival storage. We are working with the industry to evolve SSD form factors to meet our customer’s needs and get to a composable future.

Data-Centric Workloads in the Future Data Center with Micron

Company: Micron

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Personnel: Ryan Baxter

Ryan Baxter, Senior Director, Cloud, Computing and Networking Business Unit, explores the position of Micron in the data-centric workloads in the future data center. Data-centric workloads like pervasive AI are taxing traditional data center architecture. To meet the needs of these data hungry workloads, the data center will need to be evolved to make use of heterogeneous compute (CPU + acceleration), memory and storage innovation, and a new, open industry standard interconnect called Compute Express Link to tie it all together. The future is a fully composable and scalable data center.

Positioning Micron for the Data Economy

Company: Micron

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Vimeo: Positioning Micron for the Data Economy
YouTube: Positioning Micron for the Data Economy

Personnel: Raj Hazra

Raj Hazra, Senior VP, General Manager, Compute and Networking Business Unit for Micon, asks is data a blessing or a curse? It’s not news that data creation is on the staggering rise. In the new data economy, corporations will need to drive value from insight, making use of the piles of data we’re generating each year. Micron is uniquely positioned to take advantage of this moment, with our technology leadership, strong product portfolio and broad industry partnerships.

Exploring Vcinity Use Cases: Edge, Cloud, Data Protection and DR

Appearance: Vcinity Presents at Tech Field Day 23

Company: Vcinity

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Personnel: Harry Carr, Noemi Greyzdorf, Stephen Wallo

Noemi Greyzdorf, Vcinity VP, Marketing, explores use cases for Vcinity VDAP: Edge, cloud, data protection, and DR. Noemi will take us through a number of use cases where Vcinity transformed our assumptions about compute over WAN. The use cases will focus on empowering the edge – enabling real-time access to data to perform AI/ML, rendering, modeling, or video/image analytics without first migrating data closer to compute; Accelerating cloud adoption – enabling compute in the cloud to access data that has to remain on premises; Improve total cost of ownership of data protection and disaster recovery solutions by eliminating duplicates of backups, reducing time to recovery of data and applications, eliminating overhead costs by eliminating effects of latency.

Vcinity VDAP Technology Explained

Appearance: Vcinity Presents at Tech Field Day 23

Company: Vcinity

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Vimeo: Vcinity VDAP Technology Explained
YouTube: Vcinity VDAP Technology Explained

Personnel: Stephen Wallo

Stephen Wallo, Vcinity CTO, explains and demonstrates VDAP. Steve will show two demos of Vcinity solutions. The demos will compare traditional approach to running applications across high latency WAN versus running the same application using VDAP. In both cases, the application will be running in the cloud 2800 miles from where data resides. Steve will then explain what is VDAP, how it gets deployed on-prem, in the cloud, or hybrid cloud mode.

Introducing Vcinity and VDAP for Compute Over WAN

Appearance: Vcinity Presents at Tech Field Day 23

Company: Vcinity

Video Links:

Vimeo: Introducing Vcinity and VDAP for Compute Over WAN
YouTube: Introducing Vcinity and VDAP for Compute Over WAN

Personnel: Harry Carr

Harry Carr, Vcinity CEO, re-frames the problem statement around compute over WAN. Meet the best kept secret in the industry, Vcinity. Harry will set the stage for the presentation; he will highlight common challenges in today’s data driven world. The inability to access data at the speed of relevance. Data is created everywhere and getting data to the application is throttled by network latency and inability to use compute resources best suitable for the job. This time lag prevents the use of cloud compute resources, real-time AI/ML analytics, and data informed operations. Harry will also introduce Vcinity’s approach to solving these challenges and creating a truly connected enterprise.

Introducing Riverbed’s New Community and Ambassador Program

Company: Riverbed

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Personnel: Brandon Carroll

Brandon Carroll, Director, Technical Evangelist, introduces the Riverbed Technical Community, Ambassador Program, and Podcast, all ways for the networking community to share technical knowledge.

Visions of the Future with Riverbed

Company: Riverbed

Video Links:

Vimeo: Visions of the Future with Riverbed
YouTube: Visions of the Future with Riverbed

Personnel: Vincent Berk

Vincent Berk, CTO & Chief Security Architect, provides a glimpse into the future of network and application visibility with Riverbed, and the industry trends that drive future capabilities. He begins by presenting Riverbed as a source of root cause analysis, using diversified views of data to deliver correlated information. Root cause analysis is the key to cyber security, and Riverbed NetProfiler and AppResponse can help by capturing and retaining every flow and packet. Riverbed provides a deep analysis of petabytes of data thanks to AI and ML, revolutionizing visibility analysis. This is a re-invention of Riverbed, with hybrid visibility, end-to-end in-depth analysis, delivered as a service (SaaS).

Making Network Operations Work Better with Riverbed

Company: Riverbed

Video Links:

Vimeo: Making Network Operations Work Better with Riverbed
YouTube: Making Network Operations Work Better with Riverbed

Personnel: Phil Gervasi

Phil Gervasi, Sr. Technical Evangelist, provides a look at how Riverbed helps organizations to ensure optimal service delivery through network and application performance visibility. After discussing how data points can help paint a “big picture” view of the whole network, Gervasi discusses the business challenges Riverbed is trying to solve with the Tech Field Day delegates. Riverbed Unified NPM seeks to bridge the challenges of distributed environments and the huge amounts of network telemetry being collected by focusing on key metrics of availability, performance degradation, and general network health. When considering service availability, Riverbed seeks to condense metrics like connection failures, response time, and errors to determine if an application is available or not. Riverbed’s Unified NPM Platform unifies many tools in infrastructure and application data collection and analysis to provide telemetry, including AppResponse, NetProfiler, and NetIM. It provides cross-domain data analytics from packets, flows, and devices all the time. The Riverbed Portal provides business metrics and application maps based on application architecture, context grouping, and behavioral analysis.

Riverbed Company Overview 2021