Gigamon announced its Nutanix Ready validation for Gigamon Hawk.
Gigamon Hawk is an elastic visibility and analytics fabric for all data-in-motion across the hybrid cloud. Hawk delivers continuous visibility across the hybrid cloud, dramatically reduces manual intervention with visibility-as-code automation and provides both on-premises and cloud tools with contextualized network information otherwise not possible.
Infrastructure complexity has grown exponentially in recent years, resulting in a foundational gap in visibility across hybrid cloud environments. Utilizing a simple interface with built-in management and reporting, Gigamon Hawk closes this gap by radically simplifying hybrid cloud adoption, eliminating security and compliance blind spots, and helping ensure a positive customer experience. In addition to being validated as a Nutanix Ready AHV solution, Hawk is integrated with leading cloud platforms and tools, providing a unified view across any hybrid infrastructure.
“Security is at the top of most customers’ minds, especially as enterprises continue to embrace the business and technical value provided by hybrid clouds” said Prasad Athawale, VP, Business Development at Nutanix. “Increasing network visibility through products such as Nutanix Flow and Gigamon Hawk, is essential to customers’ ability to secure their data and maintain application performance and availability in hybrid cloud environments.”
“As cloud adoption becomes business critical, it is more important than ever for our customers to ensure the security, optimization and scalability of their IT investments. Working in lockstep with partners such as Nutanix, we enable end-to-end solutions that deliver an immediate ROI,” said Michael Dickman, Chief Product Officer at Gigamon. “With Hawk, our partners and customers can feel confident in their ability move mission critical workloads to the cloud.”
The Latest
People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...
Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...
Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...
For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...
From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...
Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...
Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...
Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...
Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...
The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...