Skip to main content

Gigamon Launches Developer Program

Gigamon announced the launch of the Gigamon Metadata Empowered Program, the company’s first developer program.

This program enables technology partners to deliver the next generation of application-aware solutions, with over 5,000 application and protocol related metadata attributes, for deeper insights into application and user behavior.

The Gigamon Metadata Empowered Program provides partners with the resources to integrate their tools with Gigamon Application Metadata Intelligence to create more effective and efficient solutions. To accelerate success, the program offers a range of support, including design and development assistance and comprehensive go-to-market support under the Gigamon Catalyst Partner program.

Gigamon Metadata Empowered applications are now available from partners including FireEye, Flowmon, Plixer, Spirent and Viavi. In addition, new partners such as Active Countermeasures, Netflow Auditor and WitFoo have become Gigamon Technology Alliance partners specifically to take advantage of the comprehensive technical development and sales support Gigamon offers its partners.

“Security and network monitoring tools are only as effective as the data they receive. Our program integrates partner tools to provide access to a treasure trove of previously inaccessible data about applications and protocols, including OT, ICS and SCADA. SecOps can now identify security threats more quickly and precisely and NetOps can pinpoint application performance issues before they impact the customer experience,” said Bassam Khan, VP, Product Marketing and Technical Solutions Engineering, Gigamon.

“Gigamon is committed to delivering high value solutions to our customers through our Metadata Empowered partners,” said Michelle Hodges, VP, Worldwide Channels and Alliances, Gigamon. “We are excited to expand our programs with partners that share the same vision and drive to provide cutting edge solutions to the market, while creating opportunities for additional value for these partners and their Gigamon business.”

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 ...

Gigamon Launches Developer Program

Gigamon announced the launch of the Gigamon Metadata Empowered Program, the company’s first developer program.

This program enables technology partners to deliver the next generation of application-aware solutions, with over 5,000 application and protocol related metadata attributes, for deeper insights into application and user behavior.

The Gigamon Metadata Empowered Program provides partners with the resources to integrate their tools with Gigamon Application Metadata Intelligence to create more effective and efficient solutions. To accelerate success, the program offers a range of support, including design and development assistance and comprehensive go-to-market support under the Gigamon Catalyst Partner program.

Gigamon Metadata Empowered applications are now available from partners including FireEye, Flowmon, Plixer, Spirent and Viavi. In addition, new partners such as Active Countermeasures, Netflow Auditor and WitFoo have become Gigamon Technology Alliance partners specifically to take advantage of the comprehensive technical development and sales support Gigamon offers its partners.

“Security and network monitoring tools are only as effective as the data they receive. Our program integrates partner tools to provide access to a treasure trove of previously inaccessible data about applications and protocols, including OT, ICS and SCADA. SecOps can now identify security threats more quickly and precisely and NetOps can pinpoint application performance issues before they impact the customer experience,” said Bassam Khan, VP, Product Marketing and Technical Solutions Engineering, Gigamon.

“Gigamon is committed to delivering high value solutions to our customers through our Metadata Empowered partners,” said Michelle Hodges, VP, Worldwide Channels and Alliances, Gigamon. “We are excited to expand our programs with partners that share the same vision and drive to provide cutting edge solutions to the market, while creating opportunities for additional value for these partners and their Gigamon business.”

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 ...