Business Service Management (BAC/BSM/APM/NNM)

More than everything monitoring, BSM provides the means to determine how IT impacts the bottom line. Its purpose and main benefit is to ensure that IT Operations are able to reactively and proactively determine where they should be spending their time to best impact the business. This covers event management to solve immediate issues, resource allocation and through reporting performance based on the data of applications, infrastructure, networks and from third-party platforms. BSM includes powerful analytics that gives IT the means to prepare, predict and pinpoint by learning behavior and analyzing IT data forward and backwards in time using Big Data Analytics applied to IT Operations.

Tackling the management of Modern & Hybrid IT Architectures – What is IT Operational Analytics

Tackling the management of Modern & Hybrid IT Architectures – What is IT Operational Analytics


Speaking with a BSM product executive the other day, he shared his point of view concerning the evolution of IT Operations.

His point of view was that given the proliferation of device types and technologies that are pieced together in ever more fast growing applications, IT needs a BigData approach to add to the deterministic methods of monitoring.

I resume his guiding light into the diagram below.


4 Quadrants of OpsAnalytics.jpg



In this context event triage is the minimum that most IT operations perform over time, dealing with “issues” reactively. Most Infrastructure, network and system management packages provide these capabilities.


Top left includes correlation techniques to prevent the “sea of red”, the plethora of alarms caused by event storms. By exploiting dynamically updated topological modelswhich describe dependencies between managed objects adaptive rules allow correlation to isolate root causes from various symptoms.  Add to this the means to exploit patterns, calculate baselines that may have seasonality and use of clever algorithms that seek to define anomalies and you generate Predictive Analytics.


Big Data techniques applied to IT operations management can start with gathering log, error, trace files, normalizing their content and then mining the information to detect patterns, seeking out abnormal configurations and comparing behaviors across similar IT resources. Given that the data is examined after the effect, this is still reactive, although if structured event correlated data is combined with the log files, then it is possible to detect IT resources that exhibit regular or irregular issues,  study deeper their configurations and dependencies to define corrections that prevent reoccurrences.


Finally, top left. Proactive advanced analytics is typically, but not only, using high powered analytics and search engines to predict issues based on both structured and unstructured data. An interesting domain that pertains directly, I think, to Big Data. Providing the means to initiate “What if” analyses based on previous results, will assist in the definition of search patterns to produce pointers to obtuse application/business service behaviors, potentially before they actually impact any business users and revenues.


Exciting conversation, his point of view clearly defines a journey for most IT shops, gaining value from the masses of data stored across IT, predicting anomalies before business impacts, and driving configurations to consistency will all assist to reducing outages, decrease Opex and improve operational efficiencies.
You can read about this exciting stuff and learn how HP is addressing at

Leave a Comment

We encourage you to share your comments on this post. Comments are moderated and will be reviewed
and posted as promptly as possible during regular business hours

To ensure your comment is published, be sure to follow the Community Guidelines.

Be sure to enter a unique name. You can't reuse a name that's already in use.
Be sure to enter a unique email address. You can't reuse an email address that's already in use.
Type the characters you see in the picture above.Type the words you hear.
Showing results for 
Search instead for 
Do you mean 
About the Author

Follow Us
The opinions expressed above are the personal opinions of the authors, not of HP. By using this site, you accept the Terms of Use and Rules of Participation.