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Role

Webcast – Free predictive Analytics For Microsoft System Center

By | Business Manager, Event Management, Microsoft Operations Management Suite, Process Owner, Service Owner, Subject Matter Expert, System Center Operations Manager | No Comments

Approved Consulting and Opslogix arranged a webinar to demonstrate the strength of implementing IT Service Analytics for your operational data in this recorded webcast. About IT Service Analytics IT Service Analytics is a free plug ´n play business intelligence and process support platform for Microsoft System Center. IT Service Analytics enables your IT organization(s) to make qualified decisions based on intelligent and accurate information gathered throughout your IT landscape. By optimizing and combining data from System Center Operations Manager, Microsoft OMS and System Center Service Manager into one holistic data model you are able to put the IT service in focus. This allows you to extract, correlate and predict information about IT Service Management processes. Download the presentation deck here IT Service Analytics.pdf. About the speaker Jonas Lenntun is the founder of Approved Consulting AB and has a long experience with Microsoft products and IT monitoring. After working in this area for over 15 years, Jonas has developed a broad knowledge of the entire Microsoft product range, with a personal focus on ITIL and System Center. His experience as CEO and former CIO with an understanding of IT challenges, combined with deep knowledge of Microsoft System Center, ITIL and Analytics is what led…

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Machine Learning algorithms together with SCOM for correlations between performance,  alerts and events data

By | Event Management, Subject Matter Expert, System Center Operations Manager | No Comments

Introduction This summer we had the benefit to do some research with the new features built in SQL Server and the more advanced analytical part of SQL Server 2016 such as R. The research intends to explore the possibility to find correlation between certain events, such as broken hardware or server unavailability, and deviations in performance data from related computer systems. The main purpose and final goal is to be able to automatically find the most probable causes to certain events, especially where there may not be any obvious connections and/or the number of considerable causes is far too many for manual analysis. The analysis has taken place in a smaller environment containing simulated errors. Performance, alerts and events data has been collected from a period of 30 days. Performance data from each point in time has been compared with other data from the same entity to measure its deviation. Its deviation ratio has been used to find patterns by filtering out data considered as “not deviating”.Some filtered data has appeared to have patterns similar to the patterns from some alerts and events. Calculating deviations from 30 days (7.7 million observations) has been possible in less than 3 minutes. The method should therefore be applicable on larger environments with decent…

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Continual Service Improvement – and how to become better!

By | Business Manager, Process Owner, Service Owner | No Comments

CSI, or Continual Service Improvement, is one of the more important processes when working with IT Service Management. To achieve good results when implementing IT Service Management you need to be able to measure, follow up and evaluate complete processes and not just separate parts at a time. Showing a holistic picture of how functional your IT Services are yet another challenge while using System Center products. They are all sold under one System Center flag and yet are completely separate entities. Thus making your life hard once you realize that all of the separate bits and pieces are actually a part of one big puzzle. Here is how we help our clients overcome the System Center segregation issue and enable them to have full visibility of their IT Service Delivery.

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Predictive Analytics for System Center and OMS – The missing piece of the puzzle!

By | Event Management, Microsoft Operations Management Suite, Subject Matter Expert, System Center Operations Manager, System Center Service Manager | No Comments

World of IT is changing and so are the IT organizations. The cloud era has begun and it is now being widely adopted. As a result of this, new technologies and products are evolving rapidly, and many of them powered by the cloud platform. While it’s appealing to look into and explore all the new capabilities of all these new technologies, it’s easy to forget that most organizations in the real world are still managing or partially managing their datacenters on-premise. And more important for this article, many of them are managed with products from the Microsoft System Center Suite. In this article I will talk about combining and analyzing the result sets from different technologies, such as agent based monitoring from Microsoft System Center Operations Manager (SCOM), but also some rather new technologies, such as log analytics with Microsoft Operations Management Suite (OMS). In addition, I’ll address some of the concerns and requests we get from our customers throughout the industry such as service modeling, security considerations and wish for a holistic perspective of the whole IT Service delivery supported by their processes.

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Automated analysis – the shortcut to proactive monitoring

By | Business Manager, Capacity Management, Event Management, Process Owner | One Comment

The transition from reactive to proactive monitoring can in some cases be a real challenge for IT organizations. This usually involves a lot of tuning of thresholds and alerts to give an early indication if a resource might fail. It can also increase the alert noise in your environment and to succeed with the proactive initiative, more IT staff might be required to work with all the new alerts and indications to prevent a possible service failure. To deliver a successful implementation of proactive monitoring with the increased amount of events generated from growing numbers of devices each year, another approach needs to be considered.

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