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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.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

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