Keysight Technologies announced that Ixia released the Vision X network packet broker, a high-density, modular platform that provides enterprises scalable visibility for data centers today and tomorrow.
“Vision X offers enterprises a future-proof platform that delivers scalable data center visibility to facilitate rapid decision making,” said Recep Ozdag, VP, Product Management of Keysight’s Ixia Solutions Group. “Businesses need a layer of abstraction between the volume and velocity of data and the myriad of security, performance and business analytics tools. Vision X provides the flexibility to help network operations teams evolve their visibility along with their data centers and tools.”
Ixia’s Vision X network packet broker is designed with a modular approach which enables customers to select different functions, capabilities and speeds as their data center evolves. Network operations teams can upgrade speeds and bandwidth of their visibility solution along with their monitoring and security tool capabilities.
Ixia Vision X offers enterprises the following key benefits:
- Ability to aggregate up to 6 Tbps of total traffic, from the edge to the core, for improved processing and analysis
- Flexibility to expand and/or change data center monitoring using customizable, hot-swappable modules with multi-speed port choices to improve return on investment
- Process up to 2 Tbps of data at speeds from 10G to 100G and deliver it to the appropriate tool saving both space and power with a 3-rack unit design
- Zero-loss advanced packet processing with Ixia’s dynamic filter compiler to manage security and privacy compliance while maintaining a superior user experience
- A drag and drop GUI that saves network and security teams time on configuration
- Compatibility with Ixia’s family of network packet brokers and when combined with the Ixia Fabric Controller delivers centralized control of network monitoring
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...