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FixStream 2019 Predictions: Digital Transformation Powered by AIOps

Industry executives and experts share their predictions for 2019.  Read them in this 11th annual VMblog.com series exclusive.

Contributed by Bishnu Nayak, CTO, FixStream

Digital Transformation Powered by AIOps

In a recent press release, industry analyst firm IDC made ten predictions for 2019 which center on the ongoing digitization of the global economy. Underpinned by 3rd Platform technologies such cloud, mobile, and big data analytics, IDC reminds us that digital innovation is transforming industries and regions, and it's imperative that organizations adapt. As Frank Gens, senior vice president and chief analyst at IDC, pointed out in the press release. "The ability to accelerate digital innovation volume and pace will be the most critical new benchmark for organizations competing in the digital economy".

The need to keep pace with this digital acceleration means that yesterday's toolsets and practices-which depend on human skills and manual processes-are no longer effective. Today's interconnected hybrid cloud IT environments are too complex and siloed, not to mention mission critical, for traditional approaches. Users have very high expectations of system performance, and uptime of critical business applications, so IT Operations need new tools and approaches.

Let's look at one example to illustrate the challenge. ITSM functions such as change management, asset management, and incident management heavily depend on the accuracy and richness of the data maintained in the underlying CMDB. Yet, when modern data centers leverage emerging technologies such as virtualization, containers, micro services, and/or hybrid cloud to deliver digital services, traditional CMDB's struggle to keep up. Changes across the infrastructure, such as the addition or deletion of VM's or containers, or new micro service deployments, may or may not be recorded. Often, the CMDB can't manage the frequency of changes, or maintain the dependencies and relationships across CIs in an accurate, complete and timely fashion.

Artificial Intelligence for IT Operations (AIOps), the next generation of IT operations analytics, can address this issue and more. AIOps solutions can more efficiently and accurately implement changes and handle incidents that impact critical business services. For example, AIOps can discover interdependencies and relationships of CI's across the infrastructure and business applications, ensuring the CMDB stays accurate and current. This in turn enriches and optimizes the ITSM functions required for successful delivery and operations of digital services.

Business impacts from new changes can be easily determined and forecasted using AiOps solution enabling enterprises to quickly roll out updates such as new technology, system patches, upgrades/maintenance updates, or new vendor applications. Better yet, AIOps event correlation can quickly identify the root cause of applications negatively impacted by system change done incorrectly.

Industry analysts also see the valuable role that AIOps plays in digital transformation. A Sept. 2018 blog by EMA Vice President Dennis Drogseth reviews the results of a study the firm conducted on a range of AIOps topics. In the survey of 300 ITOps professionals, 87% revealed they are already using an AIOps platform, with another 13% in the planning or testing stage. 54% of respondents identified the CMDB as ‘extremely important' to their analytic strategy. Drogseth explains that investment in AIOps solution can reinvigorate their CMDB/CMS and application/infrastructure dependency mapping technology areas.

Studies like this make us feel confident in predicting that, in 2019, more and more organizations will adopt AIOps to accelerate their digital business transformation.

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About the Author

 

Bishnu Nayak, Chief Technology Officer, FixStream

Bishnu has a flair for all things cloud technology, big data and APIs. He guides FixStream's overall technology, product strategy and roadmap, R&D and engagement with technology partners, enterprise customers and service providers. Prior to FixStream Bishnu spent thirteen years at AT&T in various executive architect and strategist positions. He most recently led the AT&T Big Data Platform strategy and delivered a Cloud Big Data PaaS using Openstack and Hadoop. Prior to that, Bishnu led the AT&T Cloud Computing Center of Excellence with a large team of cross-organization SMEs to develop the company handbook for "Applying Cloud Architecture and Principles" and a broad set of operating practice papers covering cloud fundamentals, practices, policies, governance, design patterns and guidelines for cloud applications and service delivery. Bishnu has also led AT&T Mobile Center of Excellence (MCoE) to deliver a PaaS for development and testing of mobile applications across platforms and devices using a common set of tools, standards and practices. Additionally, Bishnu successfully delivered solutions architecture for AT&T U-Verse mobile, AT&T Locker, One Access ID, Messaging, API monetization, M2M Billing, mHealth and LTE monetization. He was also heavily involved in AT&T Foundry innovation program and adoption of Agile methodology for software delivery in AT&T.

Published Tuesday, December 11, 2018 7:21 AM by David Marshall
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