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Border Gateway Protocol (BGP) Foundations
This learning path on foundational Border Gateway Protocol (BGP) provides a comprehensive introduction and deep dive into the core aspects of BGP, the backbone of the internet's routing architecture. It starts by explaining the basics of BGP, including its purpose, operation, and fundamental concepts such as Autonomous Systems (AS), BGP sessions, and the BGP routing table. The series progresses to cover more advanced topics, such as BGP path selection, route advertisement, and the implementation of various BGP attributes like Local Preference, AS Path, and MED. Through practical examples, configurations, and troubleshooting scenarios, viewers gain a thorough understanding of how BGP facilitates global data exchange and the techniques network engineers use to optimize and secure BGP networks. The series aims to equip network professionals with the knowledge needed to manage and optimize BGP in real-world environments, emphasizing best practices and common pitfalls.
Cisco ACI
Cisco ACI is a policy-driven CLOS or Spine/Leaf based switching fabric utilizing layer 3 ECMP routing in the underlay and VXLAN encapsulation in the overlay to transport layer two and layer three traffic East/West across the fabric and North/South in and out of the fabric. ACI consists of the Application Policy Infrastructure Controller (APIC), a centralized controller that manages all aspects of the ACI fabric. The leaf switches are ToR switches that provide connectivity between servers and external networks, and the spine switches are Layer 3 switches that provide ECMP high-bandwidth connectivity between leaf switches. An ACI fabric can be expanded East/West by adding leafs, cabling to the spines, and registering them. ACI was designed to operate as "One Big Switch" (like a chassis-based NEXUS 7K) with the controllers acting like the Supervisors, the spines as fabric modules, and leafs acting as blades. We can decouple these elements from the chassis and place them anywhere in the data center by taking this approach. The leafs (blades) can be placed anywhere in the data center, so you are not limited to a chassis.
6 Steps to Understanding Cisco ACI
When understood, these six concepts will help anyone new to ACI to understand a more detailed technical discussion.
High-Performance Architecture: An Engine to Drive Your AI Strategy Forward | Experts
Generative AI initiatives are taking flight across the world as organizations of all kinds explore new and innovative ways to put the disruptive technology to use. But has anyone stopped to think if their IT infrastructure is ready to meet the intense data demands required of advanced AI solutions?
Join Derrick Monahan, WWT's data strategy and high-performance architecture practice manager, as he talks about the vital nature of high-performance architecture — the merger of high-performance computing (HPC) and AI and machine learning (ML) workstreams into one architectural framework with the core IT infrastructure components needed to unlock the seemingly unlimited world of possibilities made possible by AI. Derrick also talks about the role of data and data governance, real world use cases being used in today's business landscape and ways you can put all of it into action.
Open Shortest Path First (OSPF) Foundations
This learning path on foundational Open Shortest Path First (OSPF) provides a comprehensive introduction and deep dive into the core aspects of OSPF. It starts by explaining the basics of OSPF, including its purpose, operation, and fundamental concepts such as OSPF Neighbors, advertising routes, authentication, OSPF network types, and many others. This learning path aims to equip network professionals with the knowledge needed to manage and optimize OSPF in real-world environments, emphasizing best practices and common pitfalls.
What's new
Driving Data Center Flexibility with Dell | Partner Spotlight
The intense focus on developing and deploying AI solutions is putting significant strain on teams that manage data and infrastructure. To enable AI, IT leaders need scalable solutions that are flexible and simple to manage.
Join Anthony Cinelli, senior director of global Dell PowerFlex servers, and John Lochausen, a technical solutions architect at WWT, as they talk about how you can implement modern infrastructure solutions and how Dell PowerFlex servers can revolutionize your data center operations.
Balancing Risk, Recovery and Resiliency with Commvault | Meet the Chief
Cyber resilience has become an executive- and board-level imperative for organizations of all kinds. But how can leaders ensure their businesses can withstand and recover from the inevitable cyber attack?
In this episode of Meet the Chief, Commvault CEO Sanjay Mirchandani details his unique perspective on the evolving nature of cyber resilience, the shift from pure defense to a focus on data protection and rapid recovery, and the need for a unified platform to safeguard all workloads. Sanjay also explores the responsible use of AI in enhancing recovery capabilities and operational excellence, and shares insights related to building a culture of trust and transparency.
Shift Left to Protect APIs with F5 | Partner Spotlight
APIs have become the backbone of modern digital interactions, connecting everything from morning coffee purchases to streaming services. But the rise of API-centric architectures has drastically expanded the attack surface -- over 90 percent of web-based cyberattacks are now targeting API endpoints, exploiting new vulnerabilities often overlooked by security teams – and rendered traditional security measures are no longer sufficient.
Join F5 Field CTO Chuck Herrin and WWT's Head of Global Cyber Strategy Traci Byrne as they talk about the urgent need for more dynamic and comprehensive defense strategies to prevent breaches. Chuck and Traci detail how security teams can "shift left" to better address API risks and vulnerabilities and outline practical steps security leaders can take to bolster their defenses.
Shift Left to Protect APIs with F5 | Partner Spotlight
APIs have become the backbone of modern digital interactions, connecting everything from morning coffee purchases to streaming services. But the rise of API-centric architectures has drastically expanded the attack surface -- over 90 percent of web-based cyberattacks are now targeting API endpoints, exploiting new vulnerabilities often overlooked by security teams – and rendered traditional security measures are no longer sufficient.
Join F5 Field CTO Chuck Herrin and WWT's Head of Global Cyber Strategy Traci Byrne as they talk about the urgent need for more dynamic and comprehensive defense strategies to prevent breaches. Chuck and Traci detail how security teams can "shift left" to better address API risks and vulnerabilities and outline practical steps security leaders can take to bolster their defenses.
Intent Based Networking with Juniper Apstra
This lab will enable a student to build a basic Multi-Site fabric using Apstra for complete end-to-end connectivity.
ASAv integration in Cisco ACI using PBR Service Graph redirection Lab
The goal of this lab is to show how policy-based redirection to a L4-7 device can be used with a single bridge domain needed for Cisco ACI fabrics. The use of a single bridge domain and single PBR redirection is known as "one-armed mode."
Cisco vFTD integration in ACI using PBR Service Graph redirection Lab
The goal of this lab is to show how policy-based redirection to a L4-7 device can be used with a single bridge domain needed for Application Centric (ACI) fabrics. The use of a single bridge domain and single PBR redirection is known as "one -armed mode."
Cisco ACI Segmentation Migration Lab
Over the past few years many customers deploying ACI have opted for using the "Network-Centric" approach for implementing their ACI installations. Customers who no want to migrate to a Application-Centric approach often find their workloads are spread across multiple subnets, and grouping them by application is difficult. This lab provides a technique on how to make this migration simpler
Network Assurance Engine (NAE) With ACI Simulator Lab
The Network Assurance Engine is one of the best integrated day two operations suites providing unparalleled visibility into a data center network. Look for this type of visibility across the multiple domains of WAN, LAN, DC and cloud as Cisco rolls this fabric analytic and flow engines to manage and report on misconfigurations, bugs and traffic drops from a single platform, the Network Assurance Engine.
Introduction to NVIDIA's AI/ML GPU networking solutions
This article discusses the importance of deploying AI applications and training models using distributed computing and the need for significant computational resources. It highlights the role of network efficiency and scalability in large-scale AI deployments.
Accelerating Time to Recovery with Zerto Cyber Resilience Vault | Partner Spotlight
Cyber threats continue to grow in frequency and sophistication, and the adoption of AI is adding to the complexity. Most CISOs are confident they can recover when they are attacked, but accelerating time-to-recovery is a top concern.
How Infoblox Powers the ATC
Empowering innovation and success through Infoblox critical network services, automation and security.
Introduction to Arista's AI/ML GPU Networking Solution
AI workloads require significant data and computational power, with billions of parameters and complex matrix operations. Inter-network communication accounts for a significant portion of job completion time. Traditional network architectures are insufficient for large-scale AI training, necessitating investments in new network designs. Arista Networks offers high-bandwidth, low-latency and scalable connectivity for GPU servers, with features like Data Center Quantized Congestion Notification and intelligent load balancing. Arista's AI Leafs and Spines provide high-density and high-performance switches for AI networking. Different network designs are recommended based on the size of the AI application. A dedicated storage network is recommended to handle the large datasets used in AI training. Arista's Cloud Vision Portal and AI Analyzer tools provide automated provisioning and deep flow analysis. Arista's IP/Ethernet switches are well-suited for AI/ML workloads, offering energy-efficient interconnects and simplified network management.
Using PFC and ECN queuing methods to create lossless fabrics for AI/ML
Widely available GPU-accelerated servers, combined with better hardware and popular programming languages like Python and C/C++, along with frameworks such as PyTorch, TensorFlow and JAX, simplify the development of GPU-accelerated ML applications. These applications serve diverse purposes, from medical research to self-driving vehicles, relying on large datasets and GPU clusters for training deep neural networks. Inference frameworks apply knowledge from trained models to new data with optimized clusters for performance.
The learning cycles involved in AI workloads can take days or weeks, and high-latency communication between server clusters can significantly impact completion times or result in failure. AI workloads demand low-latency, lossless networks, requiring appropriate hardware, software features, and configurations. This article will explain advanced queueing solutions used by all the major OEMs in the Network Operating Systems (NOS) that support ECN and PFC.
Cisco ACI Design Workshop
The market for data center networking has shifted towards software-defined solutions. Cisco ACI offers a unique approach to addressing the challenges of the data center network, providing visibility, speed, agility, and cloud extensions. The workshop will explore the Cisco Intent-Based Network and focus on closed-loop assurance. Automation is also increasing, reducing manual effort in operating and maintaining complex technologies. The goal is to help customers achieve a secure, reliable, and stable data center network with consistent and measurable results.
Cisco Nexus HyperFabric AI Cluster Overview
A cloud managed, high performance, easy to deploy and operate, consolidated network - integrated with your Al stack.
Partner POV | AI/ML Data Center Networking on Ethernet
In part one of this blog series that outlines the key role that networking plays in AI/ML workloads, we examine data transfer protocols and congestion considerations.
Understanding Data Center Quantized Congestion Notification (DCQCN)
RoCEv2 is a solution for achieving swift data throughput and minimal delay in modern data centers. It incorporates features like Priority Flow Control (PFC) and Explicit Congestion Notification (ECN) to establish a lossless network environment. PFC manages data flow at the interface level, while ECN detects and mitigates congestion before PFC activation becomes necessary. The combination of ECN and PFC, known as Data Center Quantized Congestion Notification (DCQCN), optimizes congestion management in RDMA networks. Careful tuning of queue thresholds is crucial to prevent hot spots and ensure low Job Completion Times (JCTs). The use of ECN and PFC is necessary for maintaining a lossless fabric in GPU-to-GPU communication during AI/ML training runs.
Partner POV | What Does It Really Mean to Be AI-Native?
Introducing Juniper's AI-Native Networking Platform, which extends AI throughout our whole portfolio to assure experiences and simplify operations end-to-end across every network domain.
Forming a Responsible AI Team: A Practical Guide
As AI's influence expands, assembling a conscientious AI team—comprising both technical and non-technical members—becomes crucial. This diverse group collaborates to construct, implement and oversee AI systems ethically. This article will delve into the key procedures for forming an AI team.