Software-defined infrastructure eBook
Learn how Red Hat's open, software defined infrastructure unlocks efficiency and agility, helping teams and technologies work together better.
Learn how Red Hat's open, software defined infrastructure unlocks efficiency and agility, helping teams and technologies work together better.
With lack of visibility into how cloud resources are utilized, it's easy to make costly mistakes. This paper covers five network-related cloud deployment mistakes that you might not be aware of that can negate the cloud benefits you’re hoping to achieve.
Topics discussed in this whitepaper include:
Businesses rely on their networks for nearly every aspect of their operations. If packets don’t move, users and customers are directly impacted and revenue doesn’t flow.
Read the results of Kentik's survey of networking industry professionals and review how organizations are addressing their network management challenges including:
With bad actors constantly looking for opportunities to disrupt or penetrate networks, real-time network visibility and threat alerting are imperative. That’s why regional cloud and data center provider, Immedion chose Kentik to help maintain high customer satisfaction and provide always-on, accessible, secure services.
In their search, Immedion found that on-premises solutions required data-collector platforms to be deployed at each of its seven sites, requiring significant resources to setup and manage. With Kentik’s SaaS solution, no additional resources were needed and all sites were covered. Plus, they were able to query their network data within seconds compared to the minutes or hours that other solutions required.
Read this case study and learn how Immedion achieved:
Building a cloud application is like building a house. Without following industry best practices, everything could come tumbling down. Fortunately, Amazon established cloud architecture best practices, the AWS Well-Architected Framework.
This paper outlines their principles, "Five Pillars", best practices for cloud and further extends the Framework to networking — a critical part of cloud architecture.
This white paper will:
Balancing website optimization and customization is always a challenge. While it is important for your website to look good, the performance of your website is just as important to the experience. The modern website requires features like personalization, analytics, chatbots, or even ads in order to provide customers with a unique experience each time they visit, but all of these features come at a cost. Setting a performance budget at the beginning of the design phase can help you find the right balance between adding needed functionality without impacting usability or speed.
Learn how Red Hat’s open, software defined infrastructure unlocks efficiency and agility, helping teams and technologies work together better.
Red Hat® Enterprise Linux® 8 provides an intelligent, stable, and security focused foundation for modern, agile business operations. Consistency across infrastructure allows you to deploy applications, workloads, and services using the same tools, regardless of location. As a result, you can deploy and operate the enterprise hybrid cloud environment your business needs faster and with less effort. Download the datasheet to learn more.
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.