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Gigamon Launches Hawk

Gigamon is launching Hawk, an elastic visibility and analytics fabric for all data-in-motion across any cloud network.

Hawk delivers:

- Elastic visibility for any cloud. Hawk’s visibility-as-code can be embedded into cloud automation to elastically scale-up and scale-out on demand. A single, consumption-based licensing model operates seamlessly across any cloud, public or private.

- Cloud visibility for network tools. Hawk provides traditional network tools with immediate, agentless visibility into layers 2-7 across any cloud network.

- Network visibility for cloud tools. Hawk delivers the “ground truth” of data-in-motion to cloud tools, such as visibility into east-west container traffic and unmanaged devices, through network application metadata.

Thanks to this elastic visibility, Gigamon Hawk radically simplifies hybrid infrastructure, eliminates security and compliance holes and provides IT teams full visibility of their cloud environments at scale. Hawk is available in a subscription, scale-as-you-grow, business model including embedded support and is comprised of:

- A suite of visibility nodes that can scale-up and scale-out as needed across any cloud network

- A cloud data warehouse for security and operational analytic applications

- A single, simple interface for either drag-and-drop manageability or programmatic orchestration

Hawk is integrated with AWS and other leading cloud platforms and tools, providing a unified view across hybrid infrastructure. Hawk for AWS includes features such as elastic visibility that automatically scales out to capture traffic from new EC2 instances, efficient distribution of mirrored traffic to multiple tool destinations, and the ability to extract and store network and application metadata in an AWS storage bucket for near real-time or historical analysis.

“Helping our customers derive value from their cloud investment and solutions is the most important aspect of our work at AWS. As organizations move workloads to the cloud, they want to ensure that they have clear visibility around potential vulnerabilities in their environment. Using AWS with Gigamon Hawk, for example by leveraging Amazon Athena to analyze application metadata collected by Hawk in S3 buckets, customers can gain the visibility they need across their hybrid – or pure cloud – infrastructure to be confident in its security, performance and scalability,” commented Scott Ward, Principal Solutions Architect at AWS.

“We are seeing most of our clients accelerate the movement of their mission-critical apps and workloads to the cloud, resulting in increasingly complex hybrid cloud infrastructures and interactions. This rising complexity challenges IT and InfoSec teams to provide the comprehensive traffic visibility and control that has become the hallmark of optimized and secure networks required to deliver the best user experience. Because traditional network monitoring tools struggle with visibility into cloud activity, increasing cloud adoption will heighten the presence and criticality of network blind spots. Here, cloud visibility and control problems can best be solved by next generation, cloud visibility solutions like those from Gigamon,” said Mark Leary, Research Director with IDC.

“While the path to the cloud varies for every enterprise, managing IT complexity is the universal challenge we have seen among the more than 700 customers who have purchased our cloud visibility fabric. We are proud to be working with AWS and other cloud leaders to deliver solutions that simplify our customers’ ability to reap the benefits of cloud adoption,” said Michael Dickman, Chief Product Officer at Gigamon. “With Hawk, we enable enterprises to simplify and secure today’s hybrid cloud networks and feel confident in their ability to scale for tomorrow’s business needs.”

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Gigamon Launches Hawk

Gigamon is launching Hawk, an elastic visibility and analytics fabric for all data-in-motion across any cloud network.

Hawk delivers:

- Elastic visibility for any cloud. Hawk’s visibility-as-code can be embedded into cloud automation to elastically scale-up and scale-out on demand. A single, consumption-based licensing model operates seamlessly across any cloud, public or private.

- Cloud visibility for network tools. Hawk provides traditional network tools with immediate, agentless visibility into layers 2-7 across any cloud network.

- Network visibility for cloud tools. Hawk delivers the “ground truth” of data-in-motion to cloud tools, such as visibility into east-west container traffic and unmanaged devices, through network application metadata.

Thanks to this elastic visibility, Gigamon Hawk radically simplifies hybrid infrastructure, eliminates security and compliance holes and provides IT teams full visibility of their cloud environments at scale. Hawk is available in a subscription, scale-as-you-grow, business model including embedded support and is comprised of:

- A suite of visibility nodes that can scale-up and scale-out as needed across any cloud network

- A cloud data warehouse for security and operational analytic applications

- A single, simple interface for either drag-and-drop manageability or programmatic orchestration

Hawk is integrated with AWS and other leading cloud platforms and tools, providing a unified view across hybrid infrastructure. Hawk for AWS includes features such as elastic visibility that automatically scales out to capture traffic from new EC2 instances, efficient distribution of mirrored traffic to multiple tool destinations, and the ability to extract and store network and application metadata in an AWS storage bucket for near real-time or historical analysis.

“Helping our customers derive value from their cloud investment and solutions is the most important aspect of our work at AWS. As organizations move workloads to the cloud, they want to ensure that they have clear visibility around potential vulnerabilities in their environment. Using AWS with Gigamon Hawk, for example by leveraging Amazon Athena to analyze application metadata collected by Hawk in S3 buckets, customers can gain the visibility they need across their hybrid – or pure cloud – infrastructure to be confident in its security, performance and scalability,” commented Scott Ward, Principal Solutions Architect at AWS.

“We are seeing most of our clients accelerate the movement of their mission-critical apps and workloads to the cloud, resulting in increasingly complex hybrid cloud infrastructures and interactions. This rising complexity challenges IT and InfoSec teams to provide the comprehensive traffic visibility and control that has become the hallmark of optimized and secure networks required to deliver the best user experience. Because traditional network monitoring tools struggle with visibility into cloud activity, increasing cloud adoption will heighten the presence and criticality of network blind spots. Here, cloud visibility and control problems can best be solved by next generation, cloud visibility solutions like those from Gigamon,” said Mark Leary, Research Director with IDC.

“While the path to the cloud varies for every enterprise, managing IT complexity is the universal challenge we have seen among the more than 700 customers who have purchased our cloud visibility fabric. We are proud to be working with AWS and other cloud leaders to deliver solutions that simplify our customers’ ability to reap the benefits of cloud adoption,” said Michael Dickman, Chief Product Officer at Gigamon. “With Hawk, we enable enterprises to simplify and secure today’s hybrid cloud networks and feel confident in their ability to scale for tomorrow’s business needs.”

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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 ...

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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 ...

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