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Traditional IT required setting up the infrastructure with very structured processes. Point products and processes are used to monitor that portion of the infrastructure. Dashboards are put in place to monitor the health of the overall environment. This is a very reactive process.

The entire IT landscape has become more complex. IT operations now has to manage physical, virtual, and cloud workloads. There is a mixture of legacy and modern technologies. Automated workload distribution and agile application deployment create a constantly changing environment.

All of these changes wreak havoc on traditional management tools. They are collecting data on a particular area with no knowledge of what is going on with the rest of the applications and infrastructure. The vast amount of data that these management tools can create is next to impossible to sift through. And changes are happening too quickly for IT teams to react.

IT Operations Generate Big Data

By nature, the data that IT systems generate are machine data. Log information, system metrics, and change records are created. This information is all in the form of unstructured data. Big data analytics is designed to work with this massive amount of data so you can really understand the environment and be able to manage it. It is time to start using big data analytics in the IT department.

Big data analytics has created a new category of products. IT Operations Analytics (ITOA) solutions are designed to provide real-time monitoring and analytics to applications and infrastructure. These solutions can help IT teams become proactive by automatically identifying and isolating disruptions and failures. They also provide the tools required to address the problems in record time.

ITOA solutions can look at technical issues from many angles. When faced with massive amounts of data, they can analyze the issues from both a technical and business perspective. They can let IT operations teams understand how this problem affects other areas of the business.

Social Integration into IT Operations

Organizations are adding enterprise social networking in order to give employees better ways to communicate and collaborate. When social is integrated into IT operational tools, it provides two primary benefits. First is that some issues can be resolved when an employee sees another who had the same issue and provides the solution. This reduces the amount of calls to help desks.

Secondly, these social platforms are generating big data as employees share their experiences. ITOA systems can monitor this activity to find potential problem areas in application performance or functions. When there is a commonly shared issue with an easy fix, IT can create wikis that give instructions on how users can address the problems themselves.

Now that the data center is a rapidly evolving environment, new tools are required to keep these systems running while also improving productivity.

HP Integrates Big Data and Social into Their Operations Tools

HP has a full line of IT operations tools, including their ITOA solution, HP Operations. These solutions are built on the big data tools that they have acquired over the last few years. To learn more about how HP is improving IT operational management, take a look at this video.


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