
Gigamon announced a new Power of 3 offering with partners Cribl and Blackwood.
The Gigamon Power of 3 Cloud program, launched in June, brings together Gigamon, a Gigamon channel partner, and a networking, security, or observability technology alliance partner to provide mutual customers with access to technology integrations and support that will help them to more efficiently and effectively manage their hybrid cloud infrastructure.
Optimized for hybrid cloud infrastructure, the newest Power of 3 offering features Cribl, the Data Engine for IT and Security, and channel partner Blackwood to enable mutual customers to gain deep observability across their entire infrastructure for efficient and effective identification of security threats and performance bottlenecks. The integration of Cribl Stream with the Gigamon Deep Observability Pipeline, sold and serviced by Blackwood, helps organizations eliminate blind spots by getting the right data to their cloud, security, and observability tools.
“Visibility across increasingly complex hybrid cloud infrastructure is challenging CISOs and CIOs alike, and presents one of the greatest cybersecurity vulnerabilities today,” said Srinivas Chakravarty, VP of Cloud Ecosystem at Gigamon. “With our newest Power of 3 combination, we’re efficiently delivering network-derived intelligence to Cribl Stream when, where, and how it is needed across hybrid cloud infrastructure. This powerful combination gives Security and IT teams the added visibility they need across existing tools, extending the value of their current tool stack to more efficiently secure and manage their cloud environments.”
The new offering integrates network-derived intelligence and insights, including application metadata, from Gigamon GigaVUE Cloud Suite into Cribl Stream, reducing the complexity of mapping data flows between the network and individual tools. This helps organizations to focus on more efficiently and effectively securing and managing hybrid cloud infrastructure, eliminating blind spots, optimizing traffic, and reducing tool cost and complexity.
Blackwood, a Gigamon partner of nearly 20 years, will sell, deploy, and service the new Power of 3 combination, leveraging its global network of IT and security experts.
The new Power of 3 solution offers joint customers:
- Data routing and enrichment. Cribl Stream can route data collected from the Gigamon Deep Observability Pipeline to security, logging, and analytics platforms, enabling Security and IT teams to accelerate threat detection and incident response and help recover faster from incidents
- Simplified monitoring using metadata. Cribl takes metadata extracted by Gigamon, reformats the data to match how each tool ingests data, and efficiently delivers the accessed intelligence to the specific tool
- Reduced threat surface. Security and IT teams can search data in place or in motion to hunt threats more efficiently and correlate relevant data to reduce the threat surface and lower risk
“We’re empowering our joint customers with unprecedented visibility and control over their hybrid cloud infrastructure,” said Vlad Melnik, Technical Alliances and Partner Marketing at Cribl. “By combining Cribl and Gigamon, customers can extract maximum value from network data, while extending the value of existing tool investments. This integration provides customers with the solution they need to make more informed decisions, enhance their security posture, and optimize their network operations in an increasingly complex threat environment."
"We’re witnessing an unprecedented explosion in both the number and variety of data sources, as organizations work to secure and manage their hybrid cloud infrastructure,” said Ryan Morris, president at Blackwood. “Integrating industry-leading solutions from Cribl and Gigamon, we’re able to offer customers the most comprehensive view of their cloud environments available in the market. As data volumes continue to grow exponentially, our integrated, cost-effective approach allows customers to confidently maintain robust cybersecurity postures."
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 ...