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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

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...