IntelliMagic Sessions at SHARE Sacramento

IntelliMagic will be at SHARE Sacramento, March 11 – 16, hosting a Lunch & Learn and presenting four performance and capacity sessions you won’t want to miss! Join us at booth #205 to see the latest in intelligent analytics for performance and capacity planners.

IntelliMagic sessions at SHARE Sacramento

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What is AIOps? The Benefits Explained

By Morgan Oats

August 2017 ushered in a new term heralded by Gartner in the form of AIOps: Artificial Intelligence for IT Operations. The term has certainly generated a lot of market hype, but what exactly is AIOps, and how can it help support your business operations?

Gartner’s official definition for AIOps is:

“AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical (real-time and deep) technologies, and presentation technologies.”

AIOps: Artificial Intelligence for IT Operations

Source: Gartner []

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Bridging the z/OS Mainframe Performance & Capacity Skills Gap

Brent PhillipsBy Brent Phillips

Bridging the mainframe skills gap

Many, if not most organizations that depend on mainframes are experiencing the effects of the mainframe skills gap, or shortage. This gap is a result of the largely baby-boomer workforce that is now retiring without a new generation of experts in place who have the same capabilities. At the same time, the scale, complexity, and change in the mainframe environment continues to accelerate.

Performance and capacity teams are a mission-critical function, and this performance skills gap represents a great risk to ongoing operations. It demands both immediate attention and a new, more effective approach to bridging the gap.

In our connected and technology-dependent world, deep performance and capacity management skills are essential. Applications and back-end transactions are often accessed throughout the day and night, causing less workload predictability.

Simultaneously, the infrastructure as well as the performance and configuration data analysis required to maintain availability is even more complex than it used to be. New features such as Pervasive Encryption and hardware data compression (zEDC) must be measured and monitored to ensure they do not impact required service levels. New cross-platform applications with Web front-ends and mainframe transaction back-ends are now common and create new requirements for predictive and prescriptive monitoring of TCP/IP, MQ, and other network parts of the infrastructure.

This dynamic environment, coupled with the shortage of performance and capacity experts, represents a significant risk to mainframe operations and affects most of the world’s largest organizations. The mainframe performance skills gap is in fact, one of the significant issues causing IT executives to question the future role of the mainframe within their organization.

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