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.
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…
As the on-demand economy continues to boom, user expectations continue to grow. We don’t just want the service or product as quickly as possible: we want all the updates, alerts, notifications, and communication in-between, from start to finish. It’s a stream of constant updates and conversation, and the expectation (or, really, the requirement) is that everything happens in realtime.
Ensuring performance and security is easy in the lab, but not in the wild. Reliability is your mobile app or product working as intended, no matter the network environment, device, operating system, or load of concurrent users. It’s providing a persistent, high-speed and predictable experience for your end users. And it’s protecting the valuable and sensitive data your app and users are streaming.
In this guide, you’ll hear from Product Managers across a variety of industries on what they see as most important for ensuring mobile reliability; and gain a better understanding of what it takes to build scalable and secure mobile apps.
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.