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Gigamon Integrates with Cribl

Gigamon and Cribl announced the companies have completed an integration between the Gigamon GigaVUE Cloud Suite™ and Cribl Stream, enabling organizations to transform data strategies by formatting and delivering telemetry intelligence in accordance with how each tool ingests data.

Through this integration, Cribl can now bring network telemetry from Gigamon into Cribl Stream, providing joint customers with deep observability across hybrid cloud infrastructure, dramatically extending the value of existing tool investments.

Gigamon offers a Deep Observability Pipeline, with GigaVUE Cloud Suite at its core, that brings deep observability into traffic traversing hybrid cloud infrastructure, delivering greater security and performance optimization. Equally important is the ability to deliver network telemetry and extracted metadata that provides unprecedented visibility into lateral East-West application traffic, a persistent blind spot and increasing security challenge for organizations.

Powered by a data processing engine purpose-built for IT and Security, Cribl’s vendor-agnostic data management solution enables security and IT Ops teams to accelerate threat detection and incident response with seamless access to telemetry data from various sources that provides the ability to enrich data before it lands in security tools, route data to the preferred threat hunting tools, and recover faster from incidents with low-cost object storage and replay capabilities. Cribl Search, a search-in-place solution, enables security teams to locate application data regardless of where it’s stored. IT teams can now search data in place or in motion to hunt threats more efficiently and correlate relevant data to reduce the threat surface and lower risk.

By integrating network-derived intelligence, including application metadata, from Gigamon GigaVUE Cloud Suite into Cribl Stream, joint customers now have access to a streamlined approach to monitor and secure hybrid cloud infrastructure that seamlessly collects, routes, optimizes, and transforms the value of their data. Bringing actionable network intelligence from Gigamon solutions into Cribl reduces the complexity of mapping data flows between the network and individual tools, allowing organizations to focus on monitoring and securing hybrid cloud infrastructure while worrying less about blind spots or the complexities of delivering intelligence to their tools.

“This new integration enables our joint customers to attain the highest level of choice, control, and flexibility to gain the most value out of their network infrastructure data,” said Vlad Melnik, vice president, Business Development, Alliances at Cribl. “Our vendor-agnostic approach means that joint customers can easily extract network-derived intelligence from Gigamon, delivering more insights and eliminating blind spots across the threat landscape.”

“Cribl is very much aligned with Gigamon as they truly understand the challenges customers face in securing and managing hybrid cloud infrastructure with just the visibility of log data,” said Srinivas Chakravarty, vice president of Cloud Ecosystem at Gigamon. “By bringing network and system telemetry together, we can help our mutual customers get any data in any format to any destination in the network they require. Bottom line, Gigamon is bringing a new – and critical — data source to Cribl.”

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Gigamon Integrates with Cribl

Gigamon and Cribl announced the companies have completed an integration between the Gigamon GigaVUE Cloud Suite™ and Cribl Stream, enabling organizations to transform data strategies by formatting and delivering telemetry intelligence in accordance with how each tool ingests data.

Through this integration, Cribl can now bring network telemetry from Gigamon into Cribl Stream, providing joint customers with deep observability across hybrid cloud infrastructure, dramatically extending the value of existing tool investments.

Gigamon offers a Deep Observability Pipeline, with GigaVUE Cloud Suite at its core, that brings deep observability into traffic traversing hybrid cloud infrastructure, delivering greater security and performance optimization. Equally important is the ability to deliver network telemetry and extracted metadata that provides unprecedented visibility into lateral East-West application traffic, a persistent blind spot and increasing security challenge for organizations.

Powered by a data processing engine purpose-built for IT and Security, Cribl’s vendor-agnostic data management solution enables security and IT Ops teams to accelerate threat detection and incident response with seamless access to telemetry data from various sources that provides the ability to enrich data before it lands in security tools, route data to the preferred threat hunting tools, and recover faster from incidents with low-cost object storage and replay capabilities. Cribl Search, a search-in-place solution, enables security teams to locate application data regardless of where it’s stored. IT teams can now search data in place or in motion to hunt threats more efficiently and correlate relevant data to reduce the threat surface and lower risk.

By integrating network-derived intelligence, including application metadata, from Gigamon GigaVUE Cloud Suite into Cribl Stream, joint customers now have access to a streamlined approach to monitor and secure hybrid cloud infrastructure that seamlessly collects, routes, optimizes, and transforms the value of their data. Bringing actionable network intelligence from Gigamon solutions into Cribl reduces the complexity of mapping data flows between the network and individual tools, allowing organizations to focus on monitoring and securing hybrid cloud infrastructure while worrying less about blind spots or the complexities of delivering intelligence to their tools.

“This new integration enables our joint customers to attain the highest level of choice, control, and flexibility to gain the most value out of their network infrastructure data,” said Vlad Melnik, vice president, Business Development, Alliances at Cribl. “Our vendor-agnostic approach means that joint customers can easily extract network-derived intelligence from Gigamon, delivering more insights and eliminating blind spots across the threat landscape.”

“Cribl is very much aligned with Gigamon as they truly understand the challenges customers face in securing and managing hybrid cloud infrastructure with just the visibility of log data,” said Srinivas Chakravarty, vice president of Cloud Ecosystem at Gigamon. “By bringing network and system telemetry together, we can help our mutual customers get any data in any format to any destination in the network they require. Bottom line, Gigamon is bringing a new – and critical — data source to Cribl.”

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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 ...

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 ...

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