Search Results for: network

Join us in our NetOps 101 multi-part series as we look at the evolution of networking and network monitoring and why a unified network operations strategy is so important to overcome the complexity inherent in today's network architectures in order to ensure reliable network delivery. Broadcom is collecting your personal data when you submit such information as part of the BrightTALK registration process. Your personal data is processed according to Broadcom's Privacy Policy: https://www.broadcom.com/company/legal/privacy/policy When you interact with Broadcom, this serves as your authorization to BrightTALK to provide your contact information to Broadcom in order for Broadcom to follow up on your interaction.

Organizations are evolving their IT landscape at a rapid pace to ensure the business can successfully execute against key initiatives and technologies. Given the increasing importance of digital transformation, cloud services, IoT, distributed computing, and the enhanced connectivity they require, it is clear a new network architecture is required. From a network architecture perspective, to enable the aforementioned business initiatives, organizations need to focus on the services delivered at the network edge. SD-WAN technology will be the key requirement, but what else should a network edge platform look like? Join us to learn about the challenges with legacy architectures and learn about best practices for creating a scalable network edge platform.

Artificial Intelligence (AI) is rapidly reshaping networking and infrastructure management, offering innovative solutions to complex challenges. In this compelling webinar, we will explore the top AI use cases that are transforming how organizations approach network and infrastructure optimization. AI has the potential to revolutionize network management, improve performance, and enhance infrastructure reliability. Join us as we examine the most impactful AI-driven applications, from intelligent network automation and predictive maintenance to advanced network security and traffic optimization. We'll also address the common myths and overstatements about AI’s capabilities, providing a clear view of what AI can truly achieve in these domains.

Kubernetes based workloads are on the rise in both on-premises data centers and in the cloud. On-premises, enterprises leverage tight control over how Kubernetes clusters are created, deployed and networked. However, Kubernetes in cloud, while simplified, introduces challenges because enterprises lose much of the control they are used to. For example, while Kubernetes Container Network Interfaces (CNI) for intra cluster networking is very robust, a challenge many cloud architects face is networking and security for traffic egressing or ingressing Kubernetes clusters.

How to create an integrated network automation strategy without a rip-and-replace methodology. In an effort to migrate from the CLI, the level of innovation in the network domain is being developed at a pace we have not previously experienced. Yet with over 60% of enterprise’s still utilizing an ad-hoc manual and reactive script-based approach to automation, organizations are struggling with how to reconcile their current automation efforts while also adopting new modern techniques centered around APIs and programmability. As the network ecosystem expands, IT and networking teams need to be able to integrate their existing infrastructure, while keeping pace with the adoption of new technologies, without having to rip and replace and sacrifice their current operational uptime. In this live webinar, we’ll explore how Itential helps organizations to propel network automation efforts that incorporate their existing investments, so organizations can focus on making progress without having to start over. Itential’s new ‘Bring Your Own Automation’ capabilities enable NetOps teams to seamlessly integrate their current automation investments and transform scripts into APIs, further enabling multi-domain automation and driving network programmability. In this webinar you will learn how to: • Understand the network domains and the typical path for network automation adoption, using the right tool for the right job. • How to move toward a modern approach to network automation using your existing infrastructure and investments. • Normalize your scripting efforts for standardized and repeatable API consumption with Itential’s Automation Gateway. • Use enhanced scripts in end-to-end network automation workflows within Itential’s Automation Platform. • Future proof your investment in network automation with unified models and an API first approach.

Many elements of infrastructure have the capability to adapt with principles such as scale on demand. Networks have generally stayed static due to their complexity and fixed nature of the underlay provider and the ability to perform consistent rapid change. In recent times Artificial Intelligence has been integrated in almost all elements of information and communication technologies with the use of machine learning and deep learning becoming quite commonly applied in various day to day applications. The majority of network components produce large amount of raw data much of which currently is ignored or discarded in favour on focusing on availability and key performance metrics. Machine learning algorithms have been developed for communication networks to be applied to fundamental problems in networking, including traffic prediction, routing and classification, congestion control, resource, fault management, QoS and QoE management and network security. Software defined networks (SDN) provide the ability to program network configuration through the use of open standards and DevOps tools such as Terraform and Ansible. Central orchestration engines provides the ability to deploy configuration to the edge through a controlled and consistent method. So, we have the building blocks for an adaptable network, driven by metrics provided on a real or near real time basis. Key Takeaways will be: • Generation of real time metrics to provide insight in the performance of a network for end user experience • Consumption of metrics to be processed by the appropriate machine learning algorithm with validation of learning by network professionals • Dynamic configuration of networks through programmatic interface centrally orchestrated • An iterative programmatic approach to continually change with appropriate lag to continually adapt to the needs of the business applications and introduction of new services

Cloud Services, IoT, 5G and MEC are driving applications ever closer to the network edge, challenging existing network/cloud edge infrastructure to scale into the multi-Tbps range as well as to meet severely reduced latency requirements. Using traditional fixed function network technologies to deliver this enhanced Multi-access Edge Computing unfortunately adds latency to packet flows, multiplies networking costs, limits scalability and drives expenses through the roof. Programmable match-action data planes, combined with programmable compute resources, make it possible deploy Multi-access Edge Computing as an intelligent resource that brings the network into full partnership with applications and coordinates flows across enterprises and global networks. In this webinar, Intel, Lanner and NoviFlow will present an all-in-one MEC solution that demonstrates these principles by uniting Intel scalable compute node, Intel/Barefoot Tofino programmable networking, and NoviFlow's NoviWare and CyberMapper programmable networking software. They will also present how this solution optimizes information flows, minimizes latency, and makes the best possible utilization of all network and compute resources, thus reducing hardware costs, operating expenditures and even energy utilization. Use cases for PE-Router, Mobile Edge Computing, Service Chaining with SRV6, Private LTE and IPTV will be presented and discussed.

As organizations embrace zero trust for cybersecurity, network architectures need to evolve. Traditional network architectures grant trust by default, which facilitates the lateral movement of threats such as ransomware. Networking needs a new approach built on zero trust principles. Join Zscaler for an insightful session featuring Gartner VP Analyst Jonathan Forest and Naresh Kumar, VP of Product at Zscaler, as they discuss why zero trust networking is a critical step in any successful SASE implementation and offer a pragmatic path forward. This on-demand webinar will cover: Key SASE, SSE, and SD-WAN trends A practical path to zero trust networking How Zscaler Zero Trust SD-WAN enables a single vendor SASE framework Don't miss this opportunity to learn how you can revolutionize your network security.

As network performance becomes more business-critical, visibility and improved control over quality is vital. The network is the CSPs most important asset, but staying on top of performance is a challenge. While customers become more aware and demanding, networks become more complex and fluid. Creanord EchoVault enables unparalleled visibility to the service sold and provides the most scalable performance and SLA management solution for almost any installed equipment and a path to future SDN/NFV networks with the increased demands for timeliness and flexibility.

Consider adding Zero Trust Security to your corporate network transformation project. It will enhance your project significantly – regardless of your preferred solution covering multi-cloud with AWS or Microsoft, hybrid or software-defined networks. This on-demand webinar covers: • How Zero trust improves cost-efficiency, performance and security of corporate networks • What network architectures that include Zero Trust security look like • How you can start implementing Zero Trust by 3 simple steps