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Gigamon Announces GigaVUE Cloud Suite with Amazon Virtual Private Cloud Traffic Mirroring Service

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

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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 ...

Gigamon Announces GigaVUE Cloud Suite with Amazon Virtual Private Cloud Traffic Mirroring Service

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

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 ...