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Gigamon Announces Risk-Free Program

Gigamon announced a risk-free program for new customers that offers substantial savings on data center tooling costs.

The risk-free program includes a free network analysis and product to showcase how Gigamon dramatically reduces network traffic to data center security and monitoring tools. As organizations plan their IT budgets for 2025, this program provides a unique opportunity to lower data center management costs by up to $1 million for typical mid-sized Gigamon customers with multiple data centers and tool types in the first year after deploying Gigamon.

“Gigamon uniquely understands the cost and complexity associated with securing and managing hybrid cloud infrastructure and our new risk-free program underscores our confidence in enabling new customers to realize cost savings of up to a million dollars in their first year of deploying Gigamon,” said Tim Watson, senior vice president, Go-to-Market Operations at Gigamon. “Further, as organizations navigate today’s economic uncertainties and commence fiscal 2025 planning, Gigamon can play an instrumental role in enabling them to redirect cost savings toward strategic initiatives that fuel revenue growth and boost the bottom line.”

Qualifying new customers can take advantage of the risk-free program in three easy steps. First, they can engage with the Gigamon Network Efficiency Appraisal Team for a 45-minute, no-cost network analysis to determine the baseline performance of their existing network monitoring and security tools and get best practices recommendations. Second, they can create personalized financial models to calculate the cost per gigabit and savings for their unique data center(s) and tooling. Third, qualifying customers start saving, agreeing to share their first-year cost savings with Gigamon or purchase a GigaVUE-HC1-Plus appliance with two GigaSMART modules running Application Filtering Intelligence and Advanced Flow Slicing to eliminate duplicate packets, filter network traffic from low-risk applications, and improve traffic signal to noise ratio for security and monitoring tools.

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Gigamon Announces Risk-Free Program

Gigamon announced a risk-free program for new customers that offers substantial savings on data center tooling costs.

The risk-free program includes a free network analysis and product to showcase how Gigamon dramatically reduces network traffic to data center security and monitoring tools. As organizations plan their IT budgets for 2025, this program provides a unique opportunity to lower data center management costs by up to $1 million for typical mid-sized Gigamon customers with multiple data centers and tool types in the first year after deploying Gigamon.

“Gigamon uniquely understands the cost and complexity associated with securing and managing hybrid cloud infrastructure and our new risk-free program underscores our confidence in enabling new customers to realize cost savings of up to a million dollars in their first year of deploying Gigamon,” said Tim Watson, senior vice president, Go-to-Market Operations at Gigamon. “Further, as organizations navigate today’s economic uncertainties and commence fiscal 2025 planning, Gigamon can play an instrumental role in enabling them to redirect cost savings toward strategic initiatives that fuel revenue growth and boost the bottom line.”

Qualifying new customers can take advantage of the risk-free program in three easy steps. First, they can engage with the Gigamon Network Efficiency Appraisal Team for a 45-minute, no-cost network analysis to determine the baseline performance of their existing network monitoring and security tools and get best practices recommendations. Second, they can create personalized financial models to calculate the cost per gigabit and savings for their unique data center(s) and tooling. Third, qualifying customers start saving, agreeing to share their first-year cost savings with Gigamon or purchase a GigaVUE-HC1-Plus appliance with two GigaSMART modules running Application Filtering Intelligence and Advanced Flow Slicing to eliminate duplicate packets, filter network traffic from low-risk applications, and improve traffic signal to noise ratio for security and monitoring tools.

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 ...

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