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June 29, 2017

3 Core Principles of Hybrid IT Optimization

Most IT decision makers are not managing one environment; they are managing multiple environments located in diverse infrastructure settings. These diverse settings often include physical, on-premise and traditional infrastructures working in tandem with a variety of cloud models, creating a complex web of data management.
Furthermore, the evolution of the market is creating an environment where CIOs have to balance the need to continually invest in emerging and open source applications with maintaining legacy applications that hold their proprietary solutions. Without a comprehensive, integrated strategy for managing, monitoring and maintaining these environments, an enterprise’s hybrid IT can quickly become dangerously siloed. A siloed approach creates less visibility and offers limited insight, leading to inefficiencies, security gaps and the potential for IT failure.
To get the most out of your IT performance and build a scalable strategy that streamlines your day-to-day management, you’ll need to start with three core principles: digitization, analysis and automation.
Your IT environments are constantly generating information. Every second of every day. This information is incredibly valuable and offers tremendous insight into performance, but is generated in a way that is unique to the platform or technology housing the data. It’s as if every platform has its own language and those languages, while related, are different enough to require individual translators.
Digitization serves as that translator, converting all of those raw unique data points into a binary language that computers can then read, categorize and interpret. In addition, digitization creates a version of the data that can be more easily integrated with data from other sources in one centralized management platform.
Raw data is powerful, but only to the extent that it can be analyzed to provide valuable insight into exactly how an infrastructure is performing. describes analytics as fundamental to driving efficiency. The value of big data analytics is being realized by more and more IT decision makers. According to The Economic Times, the National Association of Software and Services (Nasscom) included big data analytics as a key opportunity in IT reskilling initiative.
After digitizing your data, your next step is to employ big data analytics to read this new common language to identify trends, patterns, changes and anomalies. Analyzing data in this way provides opportunities to address problems before they have caused disruption.
So, after you have translated your data into a common language and then computers have begun interpreting that language, how will you be able to read every single insight and know when to make adjustments or when a piece of infrastructure is experiencing issues? The answer is automation. Automation is powered by business rules that can either be specified by users or generated through machine learning capabilities. QTS SDP can monitor environment behavior and can trigger actions or recommendations based on built-in smartness.
Automation addresses the impossible task of analyzing every piece of data produced by your expanding IT footprint. It then enlists the help of computers trained to learn about your unique IT needs and offers invaluable orchestration support.
As you build a larger hybrid strategy, it is important to ensure that your management approach is built on these three principles. QTS offers every customer unparalleled visibility, control and integration with our Service Delivery Platform. QTS SDP is leading the industry by digitizing, analyzing and automating data insights from five distinct data sources. Contact us to explore the QTS Service Delivery Platform and learn more about how you can design a custom API to further streamline your IT management.
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