Out of $188 trillion of worldwide business revenue in 2019, $10 trillion is touched by Red Hat Enterprise Linux. About 900,000 people are employed by Red Hat and its ecosystem, powering 1.7 million IT professionals who work on Red Hatenabled systems for a total of 2.6 million in Red Hat–related positions in 2019. Download the infographic to see how.
This IDC whitepaper sizes the economic impact of Red Hat Enterprise Linux in the global economy. The software and applications running on Red Hat Enterprise Linux will "touch" $10 trillion of business revenue this year and grow at twice the rate of the economy. Further, IDC predicts that Red Hat Enterprise Linux will provide economic benefits of more than $1 trillion a year to customers and will save IT organizations nearly $7 billion this year alone.
People depend on a seamless Office 365 user experience to be productive. But, backhauling SaaS traffic over private networks can strain your WAN, leading to a poor user experience. Watch this video to learn how Citrix SD-WAN intelligently identifies, prioritizes, and routes Office 365 traffic to reduce latency and boost performance.
Deliver the ultimate Office 365 experience with SD-WAN while reducing bottlenecks, simplifying deployment, and minimizing complexities improving overall end-user experience and performance in our rapidly changing experience economy. Read this guide to learn how you can deliver the ultimate experience leveraging Citrix SD-WAN on Azure.
As applications continue to migrate to the cloud, and companies continue to operate across geographically dispersed locations, enterprise branch offices need an access solution that is purpose-built for the internet with enhanced security and improved reliability. Branch offices need to be able to optimize and scale Azure performance to deliver reliable access to resources. Read more to find out how Citrix SD-WAN on Azure can help you own the future of networking.
On its own, Citrix SD-WAN is a powerful tool that can help you secure, scale, and simplify branch networking with a high-performance workspace. But did you know that since Citrix is a Microsoft Virtual WAN preferred partner, SD-WAN customers can experience even faster onboarding to workloads in Azure? And that's just the beginning. Read more to learn the true power of Citrix SD-WAN on Azure.
Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.
What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.
Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.
What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.
Having multiple monitoring tools often inhibits the collaboration that is critical to resolving problems quickly. What's the answer? AIOps tools.
AIOps tools, or IT Ops tools powered by AI and ML, provide a consistent view of monitoring data. This helps I&O leaders improve collaboration and resolution times, support internal service owners and delight external customers.
Download this Gartner report to learn more.
AIOps platforms enhance IT operations through greater insights by combining big data, machine learning and visualization. I&O leaders should initiate AIOps deployment to refine performance analysis today and augment to IT service management and automation over the next two to five years.
But which AIOps platforms can you trust, and which ones should you consider? Download this Gartner report to learn more.
This is a serious problem for IT execs.
They need to transform IT Ops to catch up with software and infrastructure modernization. In order to transform IT Ops, they must have easy and ready access to insight-rich, actionable IT Ops performance reports and analytics. But because IT Ops reporting is broken, there’s no easy way to do that.
If you’re part of an IT Ops or NOC team, or if you manage one, you know that overwhelming IT noise is your #1 enemy. Flooded with false positives overwhelming IT noise means that IT Ops and NOC teams are flooded with false positives on an everyday basis. The problem gets significantly worse when outages and disruptions cause alert storms or alert floods and NOC techs and engineers can't isolate root cause.
Can AIOps tools, or IT Ops tools powered by AI and ML, help?
Download this solution brief to learn more.
Digital transformation is critical for any enterprise that wants to win in today’s market. It requires meaningful IT investments in new applications, clouds, services, infrastructure and delivery models. These add complexity and scale that compound the already heavy burden on IT Operations, which in turn increases the risk of painful IT disruptions.
Service outages, lost revenue, angry customers and runaway costs put at risk the very technology-enabled innovations meant to keep your enterprise competitive. For IT Operations to transform, it must intelligently automate and scale in order to keep up with a transforming IT reality.
The current generation of automation technologies – based on static rules and largely built by hand - are not a fit for modern, and complex IT environments. It’s time for the next generation of automation…
Increased mobility has changed the business landscape. As more workers use additional devices from a multitude of locations, connectivity to business data has become difficult to sustain and costly to scale. This increase in devices, device types, and locations also adds a higher level of business risk. To meet the increase in business needs while reducing the level of risks, businesses have expanded or migrated their workloads into the public cloud. However, customers have quickly learned some of the limitations presented by embracing a public cloud solution.
Digital transformation is quickly impacting every industry, making it increasingly difficult to keep pace with an evolving digital workplace. Many businesses, especially those with smaller IT teams and lower budgets, struggle with implementing new solutions and delivering enterprise-level services like desktop virtualization and BYOD.