In Part Three of APMdigest's exclusive interview, Shane Pearson, Vice President, Product Marketing for HP Software, discusses predictive analytics and its importance to APM.
Click here to start with Part One of APMdigest's interview with HP's Shane Pearson
Click here to start with Part Two of APMdigest's interview with HP's Shane Pearson
APM: Why is predictive analytics such a hot topic in APM right now?
SP: As software vendors in this space, we have all done a good job at collecting data. We can monitor just about everything. But, IT operators are overwhelmed with all the data being collected. What data is important? What data should they pay most attention to? How can they make the best decisions with all this data? And with Cloud, Mobility, and Virtualization, the complexity in managing data has skyrocketed.
IDC recently asserted that predictive analytics will go mainstream in 2012 within IT and here’s why: Operational complexity, virtualization and the need for “optimization tools that can quickly discover, filter, correlate, remediate, and ideally prevent performance and availability slowdowns, outages, and other service-interrupting incidents” are pointed to as reasons for the growth in predictive analytics. “IDC expects powerful performance management tools, based on sophisticated statistical analysis and modeling techniques, to emerge from niche status and become a recognized mainstream technology during the coming year.”
APM: In APMdigest's recent Q&A with Forrester's JP Garbani, he mentioned that HP has "recently made a lot of progress" in predictive analytics. What are the latest HP advancements in this area?
SP: In December of 2011, HP released a predictive analytics tool called Service Health Analyzer (SHA) which is a part of the Service Intelligence pillar within BSM family. SHA is a “Run-time” Predictive Analytics tool that provides organizations a more intelligent way to manage IT by analyzing abnormal service behavior and alerting IT managers of real service degradation before it impacts the business. Because it is built upon the Run-time Service Model, it can correlate the metrics that are behaving abnormally with the underlying topology. This information, along with advanced analytics and sophisticated algorithms, enables SHA to forecast future problems and prioritize those issues based upon business impact.
In addition, SHA analyzes historical data to automatically create real thresholds. It then combines hundreds of baseline breaches that are associated with a single service into one event. The event generated by SHA includes a list of the CIs involved in the anomaly, so you can take action to fix the problem before the service is impaired by automated event-to-ticket closure remediation.
With SHA, you can:
1. Anticipate real IT incidents ... before they occur
2. Prevent business impact
3. Remediate events by fusing analytics & automation
APM: Besides predictive analytics, are any other analytics needed to improve APM?
SP: The dynamic relationships in a complex IT environment mean that correlating and mapping physical, virtual and cloud-based elements is beyond the realm of human judgment and spreadsheets. It requires analytics to provide intelligence in order to power agility and cost savings.
While virtualization and cloud deliver more agility to business owners and the ability to scale capacity with changing demand, these technologies add a layer of complexity that makes managing the infrastructure much more difficult. You need to understand how changes impact your applications and services.
Having visibility and insight into the performance of your applications, and knowing how those applications or services are tied to the underlying infrastructure, is absolutely crucial in today’s ever-changing, virtualized data centers. When issues occur, you need to understand what happened, why it happened, and how to fix them. Better yet, you need to be proactive and forecast issues.
This is where analytics can help.
APM: What analytics solutions does HP offer?
SP: HP solves the issues inherent in a dynamic, virtual environment with its Service Intelligence portfolio. HP Service Intelligence uses the information gathered from the Run-time Service Model (RTSM) to understand what happened at the business service level, and then analyzes that data to create actionable intelligence. With HP’s Service Intelligence, you’ll have the analytics to help you 1) analyze the past, 2) optimize the present, and 3) anticipate the future.
The products that reside inside HP’s Service Intelligence portfolio provide IT executives and operation teams the ability to use real-time service topology stored in the RtSM in order to:
- Anticipate service issues, prevent impact, and remediate quickly (Service Health Analyzer)
- Visualize, optimize, and plan performance in virtualized and cloud environment (Service Health Optimizer)
- Understand issues from a services view by leveraging cross-domain reporting (Service Health Reporter)
- Align IT to the business by tracking SLAs, KPIs, and business health (Service Level Management)
Each of these products provides the analytics tool set to help you understand how the availability and performance of your applications are tied to the underlying availability and performance of your infrastructure. Having this visibility can simplify the complexities of managing your applications and overall business services.
Click here to read Part One of APMdigest's interview with HP's Shane Pearson
Click here to read Part Two of APMdigest's interview with HP's Shane Pearson
ABOUT Shane Pearson
Shane Pearson, Vice President, Product Marketing for HP Software, is a product marketing professional with experience as a general manager and technologist at startups and Fortune 500 companies. In his current role, Pearson is responsible for managing the Operations Management, Cloud and SaaS product portfolios.
Prior to his role at HP, Pearson was Sr. VP and GM of NetWeaver Product Group at SAP. During his tenure at SAP, he was responsible for managing the worldwide NetWeaver business group including working across business operations, marketing, product management, and development. Pearson was also previously VP of Products at Gnip, a real-time social media data delivery provider, where he coordinated product development, marketing and sales. Additionally, Pearson served in various product management and marketing roles at BEA Systems, a provider of enterprise application infrastructure solutions acquired by Oracle in 2008. He holds a bachelor’s degree in industrial management and a master’s degree in management with concentrations in marketing and finance.
