Gigamon announced that GigaVUE Cloud Suite for Amazon Web Services (AWS) now features native support for Amazon Virtual Private Cloud (Amazon VPC) traffic mirroring.
This service makes agentless-based traffic acquisition easier to obtain and more effective, coming at a crucial time as organizations dramatically expand the number and complexity of applications they deploy with AWS.
As organizations relocate or develop new workloads in the cloud, these applications challenge IT teams to provide the required security, performance and customer experience. Traffic intelligence between, and within, these distributed mission critical applications is key to the success of the modern digital enterprise as they strive to run fast and stay secure.
GigaVUE Cloud Suite with Amazon VPC traffic mirroring is the most effective approach for network-based security and performance analysis. Through threat and behavior analysis, the enhanced approach expedites detection of targeted attacks, insider abuse and compromised workloads.
Gigamon support for the Amazon VPC traffic mirroring service allows customers to gain full access to, and insight into, the network traffic across their infrastructure for content inspection and threat monitoring. With this service, organizations can copy all network packets at any Elastic Network Interface (ENI) in their Amazon VPCs and send them to the GigaVUE Cloud Suite for AWS for traffic aggregation, advanced processing and proper distribution to the appropriate security and monitoring tools.
With the Gigamon V Series, which provides traffic intelligence in public cloud environments, AWS customers can eliminate unnecessary load on these tools by offloading processor-intensive tasks such as slicing and masking. GigaVUE Cloud Suite for AWS also generates NetFlow to help provide context to this traffic and then directs this modified traffic, via Flow Mapping, to the appropriate tool.
In addition to utilizing Amazon VPC traffic mirroring, Gigamon further announces advanced support for AWS with Fabric Manager (FM) centralized management and orchestration solution. FM can now:
- Detect Amazon Elastic Compute Cloud (Amazon EC2) changes in an Amazon VPC, and automatically control the Gigamon V Series node visibility tier using AWS APIs
- Eliminate manual processes and errors by automatically identifying each new workload and their associated traffic mirroring, and then configuring the traffic mirroring service to direct traffic to the V Series Nodes
- Integrate with third-party systems and tools, via RESTful APIs, to dynamically and automatically direct received traffic and configure new traffic policies
- Auto discover and visualize the end-to-end topology of visibility tiers and Amazon EC2 instances
The Latest
UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...
For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...
AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...
Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...
Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...
A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...
Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...
Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...
In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ...
The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...