The Thing That Ate the Data Center

Automation the key to improving efficiency and checking rampant IT growth.

“Scream now, while there’s still room to breathe.”

That’s one of the advertising taglines from “The Blob,” an old sci-fi movie about an alien ball of gelatinous goo that consumes everything in its path as it grows uncontrollably larger and larger.

Unfortunately, that catchphrase might ring true for many of today’s IT directors and managers. Explosive growth in the data center has created blob-like IT infrastructures that have become so large and complex as to be nearly unmanageable.

More storage capacity. More processing power. More bandwidth. The insatiable demand for “more” has led organizations to add servers, storage devices and network gear at an astounding rate. The result often is a bloated computing environment that devours IT resources and makes it difficult for IT managers to meet business demands.

Gobs of Problems

Bringing the data center back in line has become a primary focus for IT. The cost of management and maintenance has spiraled far beyond the traditional half of total budget. What’s more, IT is supposed to spin what’s left of the budget into IT gold: new business processes that generate profits, and new avenues to which applied technology develops solid revenue streams. To do it, they must revisit how they manage and administer their networks and build efficiencies into their processes that translate into greater productivity.

“Data centers have become more complex, difficult to manage and challenging to control. Yet service level expectations continue to rise even as IT budgets remain relatively flat,” said Brian Babineau, senior analyst with Enterprise Strategy Group. “Clearly, next-generation data centers require management tools that reduce complexity, ensure availability, and improve efficiency and productivity without adding significant cost.”

That’s a tall order, but data center automation might be the perfect solution for bringing IT back under control and achieving much higher levels of operational efficiency.  Data center automation solutions seek to streamline many of the manual processes that can bog down IT operations.

Sticky Situation

Virtualization, regulatory compliance, off-shoring, new application deployments, ITIL standardization, disaster recovery, technology upgrades and configuration, data center consolidation, patching and security — all of today’s major initiatives involve multiple groups, process steps, technology components and interdependencies. Lacking a single integrated view of the environment, IT often must manually address these independently with blinders on.

Consider server patching. Multiple servers may be patched quickly with a point tool, but that tool doesn’t understand the entire software stack, configuration state or the state of surrounding components. A seemingly small change to a given part of current applications or infrastructure can cause cascading problems throughout the extended IT infrastructure. It has been estimated that misconfigurations account for 80 percent of all downtime.

In fact, Forrester Research reported recently that organizations often choose not to apply server patches simply because they fear the process might bring down production systems, and because they lack the tools to validate the avalanche of patches from system vendors. Forrester says non-compliance with security patching has cost CIOs billions of dollars in system damages.

In addition, the manual processes involved in patching — opening a ticket, initiating a change, executing the change, closing the ticket — can be tedious to follow, often leading staff to circumvent them. There have been many instances of companies failing Sarbanes-Oxley audits simply because staff failed to fill out all the fields in close-ticket forms.

To the Rescue

Automation platforms streamline many such processes, working across geographically disparate locations and heterogeneous data center environments consisting of UNIX, Linux and Windows servers and a wide range of software infrastructure and applications. Generally, users access and interact with the automation platform through a secure, Web-based console.

Automation platforms typically include a large selection of drag-and-drop, fill-in-the-blanks workflow modules that automate particular IT processes without scripting or custom coding. These modules might include server, operating system and software provisioning, configuration tracking, script execution and more.

Sitting on top of all these modules is a management layer typically consisting of several distinct components. One piece records information for installed operating systems and software applications, and maps relationships between these products and systems to facilitate key operations such as installation, patch deployment and updates. Another captures characteristics about the  data center environment, including hardware types in use, physical location of servers, network infrastructure, application names, business units and assigned service levels. Another common component enables users to first model and preview desired changes before actually committing them to production servers and applications.

Gartner estimates that about 35 percent of IT managers will start to invest in such automation technologies in 2007, and that number should grow as organizations experience incremental successes. With the ability to enable faster, more accurate and less expensive IT support in many organizations, automation platforms have demonstrated an ability to give their data center horror stories a happy ending.

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