Introducing MVM: An Embedded KVM-Based Hypervisor Solution from Morpheus

Event: Cloud Field Day 20

Appearance: Morpheus Data Presents at Cloud Field Day 20

Company: Morpheus Data

Video Links:

Personnel: Brad Parks, David Estes

In addition to enabling self-service provisioning of VMs, Containers, and Application Services, the Morpheus orchestration platform has been extended to enable simple provisioning of Kubernetes, Docker, and KVM clusters.

As part of our ongoing effort to simplify IT, we’re introducing an embedded KVM-based hypervisor solution that customers can use to host workloads alongside the dozens of third- party hypervisors and clouds that Morpheus already supports natively or via plugin.

The session will showcase the Beta availability of MVM including the ability to orchestrate cluster deployment, configure hyperconverged or external storage, manage networking, enable VM live migration, handle snapshots, and more.

Details, demo, and a downloadable community edition at www.morpheusdata.com.


Morpheus Platform Architecture: A Force Multiplier for Enterprise IT

Event: Cloud Field Day 20

Appearance: Morpheus Data Presents at Cloud Field Day 20

Company: Morpheus Data

Video Links:

Personnel: Martez Reed

For years, the Morpheus platform has enabled rapid integration of third-party technologies with dozens of out-of-the-box codeless integrations into clouds, ITSM, IPAM, Backups, and more. With the general availability of the Morpheus plugin framework in 2023 and updates to the Morpheus distributed worker, we are ushering in another level of extensibility.

This session showcases how the platform framework has evolved and will highlight how third-party vendors, partners, and customers plugins are using it to abstract vendor dependencies, mitigate the impact of skills gaps, and adapt to new use cases across Edge, Hybrid Cloud, and AI.

Details, demo, and a downloadable community edition at www.morpheusdata.com.


Morpheus Tech Foundation: Developer Self-Service and Platform Operations

Event: Cloud Field Day 20

Appearance: Morpheus Data Presents at Cloud Field Day 20

Company: Morpheus Data

Video Links:

Personnel: David Estes

This CFD live demo will show how enterprises and MSPs can enable speed and agility while also improving control, efficiency, and flexibility. The session will cover IaaS, DBaaS, CaaS, PaaS, AIaaS, and other core Morpheus use cases including runbook automation.

We’ll show how easy it is to integrate technologies like VMware, Nutanix, AWS, Azure, GCP, ServiceNow, Terraform, Ansible, and more while providing a governance framework and policy engine to bring Developers, Security, Finance Operations teams closer together.

Details, demo, and a downloadable community edition at www.morpheusdata.com.


Morpheus in 2024: The Criticality of Platform Thinking

Event: Cloud Field Day 20

Appearance: Morpheus Data Presents at Cloud Field Day 20

Company: Morpheus Data

Video Links:

Personnel: Brad Parks

With increasing diversity in application formats, workload requirements, hypervisor options, cloud providers, automation approaches, and data locality there is simply not enough IT funding or skilled practitioners to keep up.

The only sustainable path is to embrace unified and extensible platform frameworks that accept this divergence while at the same time shrinking the distance between people, processes, tools, and technologies.

In this CFD intro session we’ll set a foundation for developer enablement, IT efficiency, technology independence, and unified orchestration across edge, datacenter, co-location, and hyperscale providers.

Details, demo, and a downloadable community edition at www.morpheusdata.com.


Automated Congestion Management in the AI Data Center with Juniper Networks

Event: Cloud Field Day 20

Appearance: Juniper Networks Presents at Cloud Field Day 20

Company: Juniper Networks

Video Links:

Personnel: Rajagopalan Subrahmanian, Vikram Singh

To maximize throughput and minimize packet loss, Ethernet uses the DCQCN congestion management protocol, but DCQCN introduces significant operational complexity for human operators. Learn how Juniper Apstra handles this new challenge in stride, automatically optimizing throughput and the “right amount” of packet loss.

Juniper Networks’ presentation at Cloud Field Day 20, led by Rajagopalan Subrahmanian and Vikram Singh, focused on automated congestion management in AI/ML data center fabrics. They began by explaining the challenges faced by network administrators in managing congestion, drawing an analogy to metering lights on freeways that regulate traffic flow. In AI/ML environments, the complexity increases due to the large number of entities that need monitoring and the manual, error-prone process of tuning congestion parameters. Juniper’s solution integrates with their Apstra platform to automate this process, leveraging continuous monitoring and closed-loop automation to optimize network performance dynamically.

The core of Juniper’s approach involves a DCQCN AutoTune application that utilizes Apstra’s capabilities to monitor key performance indicators and adjust network configurations in real-time. By simulating high-traffic scenarios in their lab, they demonstrated how the system detects congestion and uses Terraform to tweak configurations across the network fabric. This automated process helps maintain optimal throughput and the right amount of packet loss, adjusting parameters based on real-time data rather than static, manual settings. The system can apply changes selectively to affected switches or more broadly across similar network segments to preempt potential issues.

Juniper’s method combines two Ethernet congestion control mechanisms: Priority Flow Control (PFC) and Explicit Congestion Notification (ECN). PFC acts as a brute-force method to stop traffic when buffers are nearly full, while ECN offers a more granular approach by marking packets to signal congestion and prompt sender devices to reduce their transmission rates. The DCQCN protocol judiciously uses both techniques to manage congestion effectively. Juniper’s automation adjusts these settings dynamically, ensuring that the network remains stable and efficient under varying loads. The presentation highlighted the flexibility and potential for further customization, including integration with application-level metrics and additional congestion indicators from SmartNICs.


Design, Deploy, and Operate AI Clusters like a Pro with Juniper Networks

Event: Cloud Field Day 20

Appearance: Juniper Networks Presents at Cloud Field Day 20

Company: Juniper Networks

Video Links:

Personnel: Jay Wilson

Struggling with where to start with your on-prem AI training cluster? Juniper validated designs (JVDs) are rigorously pre-tested to make sure your deployments are relatively pain-free, and we now offer JVDs to meet the specific needs of AI data centers. See how Apstra does the Day 0/1/2 heavy lifting for you with intent-based automation.

Jay Wilson, an architect at Juniper Networks, presented at Cloud Field Day 20, focusing on the deployment and management of AI clusters using Juniper’s Apstra software. Wilson emphasized that Apstra is designed to manage data center fabrics rather than entire data centers, highlighting its ability to handle multiple fabrics and even multiple data centers from a single instance. The presentation aimed to demonstrate how Apstra’s intent-based automation can simplify the complex processes involved in setting up and maintaining AI training clusters. Wilson, with his extensive background in high-performance computing (HPC), underscored the importance of intent as the foundation of Apstra, ensuring that any changes made are validated against predefined goals, thus preventing misconfigurations.

Wilson provided a detailed walkthrough of how Apstra works, particularly focusing on its telemetry and configuration management capabilities. He explained that Apstra collects custom telemetry data, such as explicit congestion notifications (ECNs) and priority flow control (PFC) counters, to monitor the health and performance of AI clusters. This data is crucial for maintaining a lossless environment, which is vital for AI workloads. Wilson also discussed the use of configlets—small pieces of code that allow for fine-tuned adjustments to the network configuration. These configlets are essential for tailoring the environment to meet specific needs without disrupting the overall fabric management that Apstra provides.

The presentation also covered the operational aspects of using Apstra, including its anomaly detection and rollback features. Wilson demonstrated how Apstra’s single source of truth model ensures that all changes are validated and committed atomically, thus maintaining the integrity of the network. He showed how Apstra can identify and troubleshoot issues in real-time, using a combination of service and probe anomalies to pinpoint problems. Additionally, Wilson highlighted the importance of Apstra’s ability to roll back configurations to a previous state, a feature that is particularly useful in dynamic environments where multiple teams are making frequent changes. This capability ensures that any unintended disruptions can be quickly mitigated, thereby maintaining the stability and performance of the AI clusters.


Your Private AI Data Center, as Easy as Cloud with Juniper Networks

Event: Cloud Field Day 20

Appearance: Juniper Networks Presents at Cloud Field Day 20

Company: Juniper Networks

Video Links:

Personnel: Nick Davey

Achieve public cloud-like service consumption in your on-prem AI data center with Apstra and Terraform. Apstra and the Terraform Provider for Apstra fit traditionally complex network services, like EVPN, neatly into a predefined application automation. This session shows how network teams can self-serve network services in a familiar way, providing seamless deployments across any infrastructure for new AI/ML workloads.

Nick Davey from Juniper Networks discussed how the increasing complexity and scale of modern data centers, particularly for AI and ML workloads, necessitate advanced automation solutions. He introduced Juniper Validated Designs (JVDs) and highlighted the AI JVD, which includes not just architectural diagrams and configurations but also the required automation to bring these designs to life using Apstra. The AI JVD allows for flexible, scalable, and automated deployment of AI data centers, making it possible to adapt to specific network requirements and efficiently manage the intricate configurations needed for AI workloads.

Central to this automation is Apstra, which provides a cloud-like API to manage physical data center resources. Apstra’s design cycle allows network engineers to move from traditional whiteboard planning to orchestrated, automated design and deployment. This process involves designing the network in Apstra, assigning physical resources, and deploying the network using Zero Touch Provisioning (ZTP). Apstra also supports continuous monitoring and optimization, ensuring the network remains in the desired state, which is crucial for handling the demanding and complex nature of AI workloads.

The integration with Terraform further enhances automation capabilities, allowing for bulk operations and dynamic infrastructure management. Terraform’s declarative approach complements Apstra’s intent-based networking, enabling users to manage their data centers as code. This integration facilitates seamless deployment and management of AI data centers, ensuring that network changes and configurations can be version-controlled, tested, and automated. Additionally, the use of ServiceNow as a front-end interface allows non-networking personnel, such as data scientists, to request and provision infrastructure without needing to understand the underlying complexities, thus democratizing access to AI resources and streamlining operations.


Networks Myths to Solutions – Juniper’s Approach to AI Data Centers

Event: Cloud Field Day 20

Appearance: Juniper Networks Presents at Cloud Field Day 20

Company: Juniper Networks

Video Links:

Personnel: Praful Lalchandani

In the rapidly evolving landscape of AI-driven data centers, misconceptions abound, often clouding the decision-making process for IT professionals. In this session, we embark on a myth-busting journey to unveil the realities of AI data centers. This session will debunk common misconceptions and showcase how Juniper Networks’ cutting-edge networking solutions can transform and optimize your data center infrastructure.

Juniper Networks’ presentation at Cloud Field Day 20, led by Praful Lalchandani, focused on debunking myths surrounding AI-driven data centers and demonstrating how Juniper’s networking solutions can optimize these environments. Lalchandani emphasized the significant role of networking in maximizing the return on investment (ROI) for expensive GPU assets, which are central to AI projects. He outlined Juniper’s mission to deliver high network performance (400 gig and 800 gig), ease of operations through Appstra, and a lower total cost of ownership compared to proprietary technologies. The presentation included a detailed explanation of the AI application lifecycle, from data gathering and preprocessing to training and inference, highlighting Juniper’s solutions for both training and inference clusters.

The discussion delved into the specific network requirements for AI training and inference clusters. Lalchandani explained the critical role of the network in job completion time for training models, which involves complex traffic patterns due to data parallelism and model parallelism. He described the different types of networks involved: the backend GPU training network, the backend dedicated storage network, and the frontend network for external connectivity and orchestration. Lalchandani also addressed the importance of eliminating network bottlenecks to prevent GPUs from idling, which would otherwise lead to inefficiencies and increased costs. The presentation highlighted Juniper’s approach to achieving these goals through advanced load balancing techniques and congestion control mechanisms.

In addition to performance optimization, Lalchandani discussed the economic advantages of using Ethernet over InfiniBand for AI data centers. He presented evidence from Juniper’s AI innovation lab and customer use cases, showing that Ethernet can match InfiniBand’s performance while being more cost-effective and operationally simpler. The presentation also tackled the myth that packet spraying is necessary for maximizing performance, demonstrating that Juniper’s dynamic load balancing and Flowlet techniques can achieve near-optimal results without requiring expensive SmartNICs. Finally, Lalchandani touched on the importance of lossless networking, showing that while 100% lossless networking is not always required, Juniper’s solutions can adapt to different model sensitivities, providing flexibility and efficiency in AI data center operations.


Seize the AI Moment with Juniper Networks

Event: Cloud Field Day 20

Appearance: Juniper Networks Presents at Cloud Field Day 20

Company: Juniper Networks

Video Links:

Personnel: Mansour Karam

AI transformation is here. Is your data center up to the task? Juniper’s AI-Native Networking Platform is optimized for the connectivity, data, volume, and speed requirements of mission-critical AI workloads. Our AI data center solution offers the fastest and most flexible way to deploy reliable high-performing AI training, inference, and storage clusters, and the simplest to operate with limited IT resources.

Mansour Karam, Global VP for Data Center at Juniper Networks, highlighted the rapid advancements and transformative potential of AI in his presentation at Cloud Field Day 20. He likened the current excitement surrounding AI to the early days of significant technological breakthroughs, such as the advent of x86 processors and the introduction of the iPhone. Karam emphasized that Juniper’s AI-Native Networking Platform is designed to meet the demanding connectivity, data volume, and speed requirements of AI workloads. The platform aims to simplify the deployment and operation of AI training, inference, and storage clusters, even with limited IT resources, ensuring high performance and reliability.

Karam detailed the evolution of networking technologies and their pivotal role in supporting various technological revolutions, from the internet and cloud to mobile and digital transformations. He underscored the importance of Ethernet in AI clusters, noting its widespread deployment, extensive ecosystem, and cost-effectiveness compared to specialized networks like InfiniBand. Juniper has been at the forefront of these advancements, offering both Broadcom-based and custom solutions to deliver high-performance Ethernet capabilities. The company has also focused on AI for networking, leveraging AI to transform network operations and enhance reliability, speed, and efficiency through automation and intent-based networking.

Furthermore, Karam introduced Apstra, a tool acquired by Juniper, which automates the entire lifecycle of data center networks using intent-based networking. Apstra ensures reliability and speed in network operations by pre-validating configurations and maintaining a closed-loop system for continuous telemetry collection and real-time interaction with the network. Juniper’s AI-driven approach also includes probabilistic insights and application awareness, providing comprehensive visibility and control over network performance. By combining these elements, Juniper aims to offer a robust, flexible, and vendor-agnostic solution for managing AI workloads and optimizing network performance, thus positioning itself as a leader in the AI networking wave.


Opengear Continues to Innovate in OOB Management – Hybrid Cloud Deployment Strategy

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Opengear Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Opengear

Video Links:

Personnel: Jeff Blyther

In this session, learn how Opengear specializes in out-of-band management. Their failover to cellular feature ensures your network is capable of being managed under the toughest of conditions. Opengear offers first day, every day, and worst day solutions for deployment, management, and remediation. You can get access to devices via cellular connectivity and support access to those devices via an intuitive GUI.

Lighthouse is also an important feature central to management. It supports multi tenancy and quick deployment and integration of devices through the Lighthouse Service Portal.

New this year is Smart Management Fabric (SMF), which allows for traffic to be routed through a WireGuard VPN. Connected Resource Gateway (CRG) gives you direct access to the GUI on network devices. Opengear continuously innovates with new features and compliance considerations for future enhancements.


Digital Experience Assurance with Cisco ThousandEyes

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco ThousandEyes Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Marko Tisler

In this video, you’ll discover how to harness the combined power of Cisco Networking Cloud, ThousandEyes Digital Experience Assurance, and Cisco’s unmatched dataset. Learn how these cutting-edge innovations provide proactive insights and automate operations across your entire digital ecosystem, encompassing both your own and third-party environments.


Cisco Secure Connect and Client ZTNA with New SSE Engine powered by Cisco Secure Access

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Networking Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Mark Townsley, Vinny Parla

In this session, learn how Cisco Zero Trust Network Architecture integrates with the larger Cisco SASE platform. Cisco Secure Client provides network access with zero trust principles, including posture checking and user authentication without the need for a client. Cisco’s Secure Client uses a streaming ecosystem without IP packet forwarding to enhance security though obfuscation of internal network details. The client also has built-in microsegmentation for application-level policy enforcement.

Secure Client also uses the new MASQUE protocol for proxying QUIC connections to enhance setup speed, resiliency, and provide granular application controls. It is supported on Apple operating systems, Samsung devices, and Windows with device specific enrollment and traffic interception mechanisms. Certificates are stored in the device’s secure enclave or TPM to bind them to that device and secure them from theft.

Existing VPN and clienteles access methods remain available alongside the Cisco Secure Client. The ZTNA proxy runs in the cloud without an on-premises requirement.


What Cisco is Researching, Developing, and Incubating in Quantum Networking

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Innovations Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Tim Szigeti

Cisco is making a major R&D investment in quantum networking, as future communication systems equipped with quantum networks will open new possibilities in several technology domains, including distributed quantum computing, secure communications, global clock synchronization, high-accuracy sensors, and more. To provide context, a brief introduction to quantum mechanics will be included, with a focus on quantum bits (Qubits) and some of their special properties, including superposition, entanglement, and no-cloning. This will be followed by an overview of quantum computing, to better understand the direct impact and demands this emerging field is having on network communications and security. Finally, we’ll bring it all together to highlight what Cisco is already researching, developing, and incubating in quantum technologies!


Cisco XDR Detection Analytics and Gen AI

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Security Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Matt Robertson

In this session, Cisco unpacks the sophisticated mechanisms behind Cisco XDR’s ability to swiftly detect and correlate threats. They also highlight how Cisco’s cutting-edge generative AI enhances the system’s predictive analytics and response strategies, setting a new standard in cybersecurity technology.


Cisco Secure Firewall: Intelligent Security Powered by Talos

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Security Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Eric Kostlan

In this presentation, Cisco dives into the ever-evolving role of the firewall and its enduring significance within the framework of a robust security strategy.

Their focus will be on the ways in which Cisco’s firewall technologies are advancing to meet the challenges of the present and anticipate those of the future security landscape. Join us as we explore the innovative solutions that Cisco offers, ensuring that your security infrastructure remains both resilient and adaptable in the face of emerging threats.


Compute Innovation with Cisco UCS X-Series

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Data Center Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Jonathan Gorlin, Ravi Mishra

Join us to learn about the latest announcements & innovations with the Cisco UCS X-series platform including X-direct for Edge environments, the all new AMD compute blade, and our X-Fabric technology that brings the latest GPUs to power AI workloads. Cisco also unveils their latest co-engineered solution with Nutanix that brings the Nutanix hybrid cloud platform to the X-series architecture.


Cisco Unified Fabric Experience with Cisco Nexus Dashboard

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Data Center Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Matthias Wessendorf, Max Ardica

Tune into this session where Cisco dives into Cisco Nexus One Fabric. This innovative architecture is redefining the possibilities within software-defined networking (SDN), and they are going to guide you through its transformative features.


Cisco Predictive AI-Powered Crosswork Solutions

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Mass-Scale Infrastructure for Cloud Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Eleni Palkopoulou, John Lehane

Let’s move beyond the hype and focus on the practical applications of AI. In this session, Cisco will delve into the nature of predictive AI and its effective implementation in Crosswork tools today. We will explore the real-world benefits and efficiencies that predictive AI brings to network management, providing concrete examples and insights into its transformative potential for your operations. Discover how Cisco’s advanced tools can enhance your network’s performance, reliability, and overall management.


Transforming the Next-Gen Firewall with Cisco Meraki Secure SD-WAN

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Networking Presents at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Chris Pacheco, Chris Weber

Join Cisco for an exclusive unveiling where the Meraki cloud’s capabilities meet the latest next-gen MX firewall advancements. Take a glimpse behind the scenes as Cisco reveals the industry’s first cloud-delivered orchestration behind the MX threat detection engine. Get an exclusive look at the Next-Gen MX operating system, featuring a security-centric architecture powered by Cisco’s VPP technology, offering unprecedented levels of scale and performance. The session concludes with insights into the seamless integration with Cisco XDR, designed to provide unparalleled threat visibility and response across your Meraki MX network landscape.


Cisco Catalyst SD-WAN for Industrial IoT Use Cases

Event: Tech Field Day Extra at Cisco Live US 2024

Appearance: Cisco Meraki and Cisco Industrial IoT Present at Tech Field Day Extra at Cisco Live US 2024

Company: Cisco

Video Links:

Personnel: Emmanuel Tychon

Watch this session to understand why Cisco is making the pivotal shift from traditional network management to Software-Defined Networking with SD-WAN for Industrial IoT customers. Although SD-WAN is already prevalent in enterprise networks, its application to industrial networks is a groundbreaking development. This session will delve into how this innovation improves automation, ease of use, and security, offering you valuable insights into the future of industrial networking. Don’t miss the opportunity to learn about these advancements and how they can benefit your network infrastructure.


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