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
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...
40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...
Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...
Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...
Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...
Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...