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Infrastructure Management - Do You Still Care?

A few good reasons why you should ...

Infrastructure Management is so 1990s. Everyone has it. Could there be anything interesting left to say? Yes -- that it is more critical than ever. It may still be just the plumbing but the demands on it are only growing and yesterday’s point solutions won't do the job.

In a June 2011 article in CIOInsight, interestingly titled, “IT Investment Trends: Infrastructure Back in the Mix” they note, “CIO Insight’s latest IT Investment Trends study shows renewed interest in the fundamentals of the IT infrastructure. This is refreshing amid today’s ethereal talk about clouds and virtual machines.”

It is, in fact, those ethereal technologies that are driving Infrastructure Management solutions to grow up and meet the demands placed on them by combining integration, automation and intelligent analytics. These new, unified infrastructure management solutions can step up to the requirements for agility and the ability to handle the complexity that new technologies and higher expectations inflict on all organizations - enterprises, government agencies and service providers alike.

Here are four reasons why - in 2012 - you should still care:

Too big to fail infrastructures are the backbone of an organization’s bottom line. While the “infrastructure” was once a code word for “the network” and the applications running over it only impacted employees, infrastructures are now a growing conglomeration of the network, systems, databases and applications that affect customers and employees alike, with direct impact on your bottom line.

Managing the infrastructure as a whole is imperative. Attempting to manage with a mix of point products becomes part of the problem rather than the solution. Effort by IT staff or service network operators to manually correlate events from silo-focused management products and track impact to individuals and services is a practice that simply doesn’t scale. Integrated and unified infrastructure management solutions automatically correlate events between silos, identify root cause and track impact to individuals and business services, letting IT staff and service network operators practice rapid remediation. Performance and trend analysis even lets them get ahead of developing issues to avoid some problems altogether.

Voice and video are rapidly gaining acceptance into the infrastructure “club.” Once outside the data network, they now sit well within an organization’s infrastructure, even while requiring essentially different service qualities than standard IP data traffic. Isn’t that why we have Quality of Service (QoS) capabilities? However, manually creating QoS service classes and hoping they have the desired effect is risky without a clear view into traffic flows and performance. With good visibility, QoS classes can be fine tuned to support both business critical applications and the delay-sensitive voice and video services.

Virtualization is the perfect technology to take an infrastructure running close to the edge from bad to worse. If your IT staff is struggling to manually track systems capacity and utilization, adding virtualization will create the tipping point. With automated tools for infrastructure management they can keep up with the volume of workload and application movement while holding down capital costs, data center expansion and staff stress.

Private clouds bring many technologies together (server, network and storage virtualization, high availability, automation and self-service) to optimize an organization’s assets and provide a highly responsive infrastructure service environment, much like a data center on steroids. The private cloud is expected to scale to absorb utilization peaks and protect against outages and degradation, thereby making it a prime consumer of unified infrastructure management. Without the ability to manage the scope and complexity of the private cloud, it can become a single point of multiple, potential failures.

With these technologies resetting the bar for organizational competence and competitiveness, it is a good time to review your infrastructure management solution. Is it unified, managing performance and available for physical and virtual systems, the network, applications and databases and giving you a single view? Can it provide visibility into traffic flows so voice and video can safely co-exist in your infrastructure? Can it scale as your organization grows? Time to reconsider.

ABOUT Pam Snaith

Pam Snaith joined CA Technologies in 2005 as part of the Concord Communications acquisition. In her role in Product Marketing she is focused on solutions that drive business Service Assurance. Snaith has broad experience in the networking industry, from software engineering to product management and marketing for voice and data products at institutions and companies including the Federal Reserve Bank, Digital Equipment Corporation, Xyplex Networks, Lucent Technologies and Avaya. She has published magazine articles and numerous white papers. Snaith earned a B.A. from New York University and completed additional coursework at Cornell Medical College.

Related Links:

www.ca.com

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Infrastructure Management - Do You Still Care?

A few good reasons why you should ...

Infrastructure Management is so 1990s. Everyone has it. Could there be anything interesting left to say? Yes -- that it is more critical than ever. It may still be just the plumbing but the demands on it are only growing and yesterday’s point solutions won't do the job.

In a June 2011 article in CIOInsight, interestingly titled, “IT Investment Trends: Infrastructure Back in the Mix” they note, “CIO Insight’s latest IT Investment Trends study shows renewed interest in the fundamentals of the IT infrastructure. This is refreshing amid today’s ethereal talk about clouds and virtual machines.”

It is, in fact, those ethereal technologies that are driving Infrastructure Management solutions to grow up and meet the demands placed on them by combining integration, automation and intelligent analytics. These new, unified infrastructure management solutions can step up to the requirements for agility and the ability to handle the complexity that new technologies and higher expectations inflict on all organizations - enterprises, government agencies and service providers alike.

Here are four reasons why - in 2012 - you should still care:

Too big to fail infrastructures are the backbone of an organization’s bottom line. While the “infrastructure” was once a code word for “the network” and the applications running over it only impacted employees, infrastructures are now a growing conglomeration of the network, systems, databases and applications that affect customers and employees alike, with direct impact on your bottom line.

Managing the infrastructure as a whole is imperative. Attempting to manage with a mix of point products becomes part of the problem rather than the solution. Effort by IT staff or service network operators to manually correlate events from silo-focused management products and track impact to individuals and services is a practice that simply doesn’t scale. Integrated and unified infrastructure management solutions automatically correlate events between silos, identify root cause and track impact to individuals and business services, letting IT staff and service network operators practice rapid remediation. Performance and trend analysis even lets them get ahead of developing issues to avoid some problems altogether.

Voice and video are rapidly gaining acceptance into the infrastructure “club.” Once outside the data network, they now sit well within an organization’s infrastructure, even while requiring essentially different service qualities than standard IP data traffic. Isn’t that why we have Quality of Service (QoS) capabilities? However, manually creating QoS service classes and hoping they have the desired effect is risky without a clear view into traffic flows and performance. With good visibility, QoS classes can be fine tuned to support both business critical applications and the delay-sensitive voice and video services.

Virtualization is the perfect technology to take an infrastructure running close to the edge from bad to worse. If your IT staff is struggling to manually track systems capacity and utilization, adding virtualization will create the tipping point. With automated tools for infrastructure management they can keep up with the volume of workload and application movement while holding down capital costs, data center expansion and staff stress.

Private clouds bring many technologies together (server, network and storage virtualization, high availability, automation and self-service) to optimize an organization’s assets and provide a highly responsive infrastructure service environment, much like a data center on steroids. The private cloud is expected to scale to absorb utilization peaks and protect against outages and degradation, thereby making it a prime consumer of unified infrastructure management. Without the ability to manage the scope and complexity of the private cloud, it can become a single point of multiple, potential failures.

With these technologies resetting the bar for organizational competence and competitiveness, it is a good time to review your infrastructure management solution. Is it unified, managing performance and available for physical and virtual systems, the network, applications and databases and giving you a single view? Can it provide visibility into traffic flows so voice and video can safely co-exist in your infrastructure? Can it scale as your organization grows? Time to reconsider.

ABOUT Pam Snaith

Pam Snaith joined CA Technologies in 2005 as part of the Concord Communications acquisition. In her role in Product Marketing she is focused on solutions that drive business Service Assurance. Snaith has broad experience in the networking industry, from software engineering to product management and marketing for voice and data products at institutions and companies including the Federal Reserve Bank, Digital Equipment Corporation, Xyplex Networks, Lucent Technologies and Avaya. She has published magazine articles and numerous white papers. Snaith earned a B.A. from New York University and completed additional coursework at Cornell Medical College.

Related Links:

www.ca.com

Hot Topics

The Latest

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...