Search Results for: network

The team at Micro Focus is hard at work delivering new capabilities for Network Operations Management (NOM). Join product team leaders as they discuss the latest capabilities for NOM including: • Improve response time for incidents with a workflow-based UI – New user interface unifies incident information, detailed performance troubleshooting data, configuration and diagnostic change data, and configuration change deployment all from a single operational dashboard. Enhancements include: o Faster root cause determination with new baseline, configuration change, and diagnostic (running state) overlays on performance graphs in both Performance Troubleshooting and Incident Troubleshooting dashboards o New path tracing delivers faster problem isolation and relationship understanding for included nodes along the layer 3 network path • Reducing MTTR by monitoring for change with both configuration and diagnostic change indicators • Enhancing communications with OPTIC dashboards and reporting • Reduce cost of ownership and increase flexibility with cloud deployment options – NOM now allows for both on-prem, cloud deployment, and hybrid deployments to improve flexibility and reduce costs associated with acquisition of compute for on-premises deployments Additionally, we’ll cover enhancements in deployment capability, new license options, and security enhancements in both Network Node Manager i and Network Automations.

Machine Learning and Time Sensitive Networking in the Smart Factory: How the IIoT makes critical data available when & where it is needed. In today’s digital age, the rapid emergence of IoT is changing operations throughout the manufacturing domain. Machines and systems have become more intelligent and more connected, and the proliferation of sensors generates a non-stop flow of data. This wealth of actionable information provides the key to unlocking higher efficiency and increased reliability of machines and systems. The opportunity lies in harvesting the data. Join IIoT experts from the Industrial Internet Consortium to discover exciting developments in the field of machine learning -- products and systems taking action on their own -- and how this self-optimization will play a pivotal role in enhancing the intelligence of the factory. We will also showcase the Time Sensitive Networking (TSN) testbed and the technology used to support real-time control and synchronization of high performance machines over a single, standard Ethernet network. What you will learn: -How IIoT connectivity has enabled data from the operational domain (OT), to become more accessible to the information technology (IT) domain. -How Machine Learning will lead to real-time, self-optimization of Industrial Systems and help reduce downtime via predictive and preventative maintenance. -How TSN capabilities are extending standard Ethernet (IEEE 802.1 & 802.3) to enable more devices, applications, and deterministic potential to manufacturing networks.

The first step for every network team getting started with network automation is to create automations for individual activities. As network engineers start to investigate automation, their initial thoughts usually revolve around “what” tasks to automate and “how” they can automate those tasks. This is an incredibly helpful and useful first step into automation, and with the right tools and frame of reference, a lot of a network engineer’s daily backlog can be overcome. When these first steps are taken, it’s important to also find ways to effectively manage your automations and engage and collaborate with other team members around these automation assets. In this live webinar, Morgan Stern, VP of Automation Strategy and Rich Martin, Director of Technical Marketing at Itential, will share insights gathered from their time spent working with our customers who have implemented task-based automation successfully, including: • Assessing use cases, automation tools, time, and skills. • Expected benefits of implementing task-based automations. • Required toolset capabilities to successfully manage and run your automations. • Lessons learned from teams who have been successful with task automation. • How Itential can help organize, share, and secure your scripts for extended use. • The perspective of an engineer and what’s needed to evolve your task automation efforts. • The perspective of IT leaders and what’s needed to set your team up for task automation success.

What does full stack network coverage look like? From fault, inventory, topology, performance, availability and logs, a comprehensive Network Operations and Analytics platform should cover the entire stack from traditional to SDx environments. 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.

In today’s challenging technology landscape, AI is the key to visualizing the end-user experience and resolving elusive network issues. But not all AI is built equally. It’s important to completely understand and trust the decisions AI makes so you can reap the full benefits, such as informed decision-making, risk reduction, increased user adoption, better governance, and faster system improvement. The problem is, traditional AI doesn’t let your IT team see how its algorithm handles decision making. You need explainable AI (XAI) to be able to trace and understand AI’s decision-making processes. Join Juniper data scientists and ServiceNow for a webinar to learn about the differences between traditionally black box AI and truly explainable AI. Using several AI capabilities of Juniper Mist as examples, they will describe how the machine algorithms work and the science behind them, giving you the ultimate lens into user experience. You’ll also learn how: To enhance your trust in AI’s capabilities by understanding how AI achieves its outcomes to positively impact networks and network operations A customer improved Wi-Fi experience with real-time insights into issues like authentication anomalies during users’ wireless connections AI can proactively identify and resolve issues to deliver the best user experience To evaluate networking vendors’ AI offerings with confidence using explainability as a tool

Working from home has caused many firm’s attack surface to grow exponentially overnight. Where there might have been three locations prior to the advent of COVID19, there could now be 300 or 3,000. Many firms are concerned with this and have shored up their security around remote access significantly. But what if the risk was still located inside their network. From careless staff to rogue employees, the consequences your business could face if tampered by an insider are unfathomable. Research has suggested that 75% of all breaches could be avoided by better management of third party access and insider threats. The principles of Zero Trust and least privilege is a method by which each employee is provided access to just what is needed for their job and nothing more. The term “Zero Trust” was coined by Forrester Research analyst and thought-leader John Kindervag, and follows the motto, “never trust, always verify.” His ground-breaking point of view was based on the assumption that risk is an inherent factor both inside and outside the network. Come hear some practical examples of how to get started utilizing zero trust in your organization to protect yourself from internal risk of employees and third parties accessing your network.

A practical guide to generating insights from network traffic for operations and security In today’s hybrid and multi-cloud world how do organizations keep up with the volume and complexity of the data being generated and leverage it to deliver business outcomes? AIOps can help, but it’s thirsty for high-quality, complete data. Much of the telemetry is there, but it’s often siloed and diverse, cluttered with irrelevant information, and lacks critical context for security and performance use cases. How can you cut through the noise and feed your AIOps engine only the necessary data it needs to make smart, quick decisions? In this webinar, Carlos Casanova, Principal Analyst, Forrester, and Bassam Khan, Vice President of Product and Technical Marketing Engineering, Gigamon, will discuss how organizations can strengthen their AIOps efforts by leveraging network communications, the one normalized telemetry across any hybrid-cloud infrastructure. They will illustrate ways to deliver insights derived from network traffic for enhancing security, improving application performance, faster troubleshooting, and optimizing AIOps costs.

A practical guide to generating insights from network traffic for operations and security In today’s hybrid and multi-cloud world how do organizations keep up with the volume and complexity of the data being generated and leverage it to deliver business outcomes? AIOps can help, but it’s thirsty for high-quality, complete data. Much of the telemetry is there, but it’s often siloed and diverse, cluttered with irrelevant information, and lacks critical context for security and performance use cases. How can you cut through the noise and feed your AIOps engine only the necessary data it needs to make smart, quick decisions? In this webinar, Carlos Casanova, Principal Analyst, Forrester, and Bassam Khan, Vice President of Product and Technical Marketing Engineering, Gigamon, will discuss how organizations can strengthen their AIOps efforts by leveraging network communications, the one normalized telemetry across any hybrid-cloud infrastructure. They will illustrate ways to deliver insights derived from network traffic for enhancing security, improving application performance, faster troubleshooting, and optimizing AIOps costs.

A practical guide to generating insights from network traffic for operations and security In today’s hybrid and multi-cloud world how do organizations keep up with the volume and complexity of the data being generated and leverage it to deliver business outcomes? AIOps can help, but it’s thirsty for high-quality, complete data. Much of the telemetry is there, but it’s often siloed and diverse, cluttered with irrelevant information, and lacks critical context for security and performance use cases. How can you cut through the noise and feed your AIOps engine only the necessary data it needs to make smart, quick decisions? In this webinar, Carlos Casanova, Principal Analyst, Forrester, and Bassam Khan, Vice President of Product and Technical Marketing Engineering, Gigamon, will discuss how organizations can strengthen their AIOps efforts by leveraging network communications, the one normalized telemetry across any hybrid-cloud infrastructure. They will illustrate ways to deliver insights derived from network traffic for enhancing security, improving application performance, faster troubleshooting, and optimizing AIOps costs.

A practical guide to generating insights from network traffic for operations and security In today’s hybrid and multi-cloud world how do organizations keep up with the volume and complexity of the data being generated and leverage it to deliver business outcomes? AIOps can help, but it’s thirsty for high-quality, complete data. Much of the telemetry is there, but it’s often siloed and diverse, cluttered with irrelevant information, and lacks critical context for security and performance use cases. How can you cut through the noise and feed your AIOps engine only the necessary data it needs to make smart, quick decisions? In this webinar, Carlos Casanova, Principal Analyst, Forrester, and Bassam Khan, Vice President of Product and Technical Marketing Engineering, Gigamon, will discuss how organizations can strengthen their AIOps efforts by leveraging network communications, the one normalized telemetry across any hybrid-cloud infrastructure. They will illustrate ways to deliver insights derived from network traffic for enhancing security, improving application performance, faster troubleshooting, and optimizing AIOps costs.