BB2798 How Playtech uses predictive analytics to prevent business outages

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2 BB2798 How Playtech uses predictive analytics to prevent business outages Eli Eyal, Playtech Udi Shagal, HP June 13, 2013 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

3 How HP Service Health Analyzer provides predictive analytics Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

4 HP Service Health Analyzer Business Service Management Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

5 Why performance analytics is needed Enterprise IT environments are more diverse, complex and constantly changing No early warning of service degradation Static thresholds are problematic to maintain and sometimes impossible to set No easy way to correlate if current issue is similar to those seen in the past 5 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

6 Advanced Performance Analytics solutions often bring very fast ROI and typically require minimal administrative overhead. Enterprise Management Associates, Dec 2012 By 2016, 20% of Global 2000 enterprises will have an IT operations analytics architecture in place, up from less than 1% today. Gartner, Dec 2012 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

7 HP Service Health Analyzer (SHA) Predictive analytics 1. Anticipate problems before the business is impacted and prevent downtime 2. Automatically correlate information from multiple domains 3. Reduce cost of handling events by proactively investigating anomalies 4. Self learning system 7 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

8 Advanced Performance Analytics Self-learning algorithms Leverages RTSM any time series data Learns normal behavior Easy setup Anomaly is defined when: Multiple metrics are behaving abnormally Related topology Based on multiple HP patents 8 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

9 Business impact and investigation Anomaly Highlights view Business impact Top suspect items Similar anomalies Investigation screens Topology view Metrics view Saves you time and money Get to the root cause faster 9 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

10 SHA deployment architecture Easily integrates with your BSM environment Runs on the BSM platform Highly scalable can analyze millions of metrics Leverages RTSM Predefined metric filters exist for all BSM data collectors Can easily consume any 3rd party metric data via BSM connector Topology, Metrics, Events, 10 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

11 Product strength SHA value summary Reduce negative business impact Get notified earlier Prevent and reduce business impact of problems Reduce labor costs No need to set and maintain thresholds Triage multiple events at the same time Avoid reinventing the wheel - automatically detect similar issues Low risk deployment Leverage BSM investment and RTSM Topology Analyze any time series data Easy to deploy Cost efficiency 11 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

12 Playtech testimonial Eli Eyal, Operational Support System team leader, Playtech Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

13 How Playtech Uses Predictive Analytics to Prevent Business Outages

14 14 About Playtech world s largest publicly-traded online gaming software supplier develops unified software platforms and content for the online and landbased gaming industries, and provides a range of ancillary services such as marketing, hosting and CRM. offers a best-of-breed product suite, including casino, casual games, sports betting, live gaming, lottery, and the world s largest bingo networks

15 Who Is Playtech founded in 1999 based in Isle Of Man traded on London stock exchange 207.5m Euro (2011 revenue) approximately 2,000 employees in development centers in five countries customers include land-based casinos and online companies 15

16 Who Am I? Eli Eyal OSS manager in Playtech Worked in many types of organizations including network providers, development companies and IT organizations 15 years of monitoring systems deployments 10 years of implementing HP software and products 15 years experience in integrations 16

17 OSS in Playtech Based on HP software Monitoring Operation Manager 9.10 SiteScopes Network Node Manager 9.10 Configuration Management ucmdb

18 OSS in Playtech - Cont. BSM 9.13 Main console Events from OMi Graphs from OVPM Graphs from SiteScopes Impact on Models from ucmdb Business KPI monitoring by SHA Tools from events and from CIs in any View User Management 18

19 19 OM Events Events Topology Events SiteScope Topology BSM Topology Topology

20 Monitoring Methods and Objects Agent based monitoring Agent installed on all OS provides HW and OS monitoring: CPU Memory Swap File systems OS related processes Application monitoring DB monitors SQL queries Application port status and response Application logs 20

21 Monitoring Methods and Objects Agent less remote monitoring Providing status check for URLs DNS resolution SSL certificate expiration Network monitoring Monitoring servers network availability Monitoring communications availability between applications 21

22 What More Is Needed? Multi layer monitoring Infra monitoring Application infra monitoring processes, memory etc. Business KPIs monitoring Static thresholds Vs. Dynamic thresholds Different behaviors Different usages Different period of times 22

23 What More Is Needed? Early detection Prediction. Baseline. 23

24 Service Health Analyzer - Infra Originally for infra monitoring Take the CPU or memory counters Create baseline for behavior Create the behavior of the KPI For a day For a week For a month Compare the current sample to this baseline Am I in or out? (of the baseline ) 24

25 Service Health Analyzer - Business If can be done on infra, why not on business? Collect business KPIs Create baseline on each KPI Send alerts when 2 or more baseline is breached (configurable) What is the benefit? Alerts on use cases where standard monitors do not apply 3 rd party issues When no monitoring is available 25

26 26 Example 1: Planned outage Anomaly detected: Sudden drop

27 27 Sudden Drop in Number of Real Players End users impacted Abnormal behavior started here

28 Cause - Denial of Service Attacks 28

29 Example 2 - Behavior Change 29

30 Example 3 Login Problem 30

31 Service Health Analyzer - Strengths Faster detection even when usually cant Predictions detect it when your business activity is not as usual but before it actually crashes Impact knowing exactly who is impacted from the issue Baseline knowing exactly where is the problem in the application side Fast investigation access to the graphs, baseline and more details form the alert no need to open other consoles or other data sources 31

32 32 Anything Is Possible You just need to be specific about it.

33 Questions? 33

34 Learn more about this topic Use HP Autonomy s Augmented Reality (AR) to access more content 1. Launch the HP Autonomy AR app* 2. View this slide through the app 3. Unlock additional information! *Available on the App Store and Google Play 34 Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

35 Thank you Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.