Predictive, Proactive, and Collaborative ML with iT Service Intelligence
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The document discusses using machine learning and predictive analytics with Splunk IT Service Intelligence to move from reactive to predictive IT operations. It describes using techniques like linear regression, anomaly detection, and event correlation on machine data to predict issues, analyze trends, and flag anomalies. The presentation also explains how Splunk ITSI can integrate with VictorOps to enable collaborative incident response and reduce mean time to resolution through centralized visibility and on-call workflows. Key takeaways are that Splunk ITSI provides out-of-the-box prediction capabilities and the ability to build custom models, flag issues rapidly, and that VictorOps improves collaboration and speeds up remediation.
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Predictive, Proactive, and Collaborative ML with iT Service Intelligence
- 1. © 2019 SPLUNK INC.© 2019 SPLUNK INC. Predictive, Proactive, and Collaborative ML with IT Service Intelligence Creating Actionable and Predictive Alerts Through Analytics
- 2. © 2019 SPLUNK INC. During the course of this presentation, we may make forward-looking statements regarding future events or the expected performance of the company. We caution you that such statements reflect our current expectations and estimates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-looking statements, please review our filings with the SEC. The forward-looking statements made in this presentation are being made as of the time and date of its live presentation. If reviewed after its live presentation, this presentation may not contain current or accurate information. We do not assume any obligation to update any forward-looking statements we may make. In addition, any information about our roadmap outlines our general product direction and is subject to change at any time without notice. It is for informational purposes only and shall not be incorporated into any contract or other commitment. Splunk undertakes no obligation either to develop the features or functionality described or to include any such feature or functionality in a future release. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2019 Splunk Inc. All rights reserved. Forward-Looking Statements
- 3. © 2019 SPLUNK INC. 1. Why You Need to Stop Being Reactive 2. Data and Machine Learning: How to Get to a Predictive IT 3. Collaborate and Remediate with VictorOps 4. Demo Agenda
- 4. © 2019 SPLUNK INC. Why You Need to Stop Being Reactive
- 5. © 2019 SPLUNK INC. The Cost of an Incident Customer Satisfaction Brand Reputation Line of Revenue *According to “Damage Control: The Impact of Critical IT Incidents” $ 141,628 the mean business cost of an IT incident
- 6. © 2019 SPLUNK INC. Predict and Prevent Operational Issues with AI $ Impact Proactive (add logs and metrics) Effective $ Impact Existing Events Cost of Impact Reactively Alerted MTTR Automated Resolution MTTR MTTR Splunk ML Alert
- 7. © 2019 SPLUNK INC. Predict and Prevent Operational Issues with AI $ Impact Predictive Proactive (add logs and metrics) Effective $ Impact Existing Events NEGATIVE MTTR!! Predict 30 Minutes in Advance Time Return to Business Cost of Impact Reactively Alerted MTTR Automated Resolution MTTR MTTR Splunk ML Alert
- 8. © 2019 SPLUNK INC. Data and Machine Learning: How to Get to a Predictive IT
- 9. © 2019 SPLUNK INC. ► What is Machine Learning? ► Supervised / Unsupervised Learning ► Predictive Analytics / Anomaly Detection / Event Correlation ► Predictive Analytics: Linear Regression ► Anomaly Detection Machine Learning for Predictive IT
- 10. © 2019 SPLUNK INC. What is Machine Learning? Supervised Learning Unsupervised Learning Reinforcement Learning Cat Dog Machine Learning to adapt to new circumstances and to detect and extrapolate patterns
- 11. © 2019 SPLUNK INC. Getting Answers From Your Data! Clustering • Identify peer groups • Event correlation • Reduce alert noise • Behavioral analytics • ITSI Event Analytics Predictive Analytics • Predict Service Health Score • Predicting churn • Predicting events • Trend forecasting • Detecting influencing entities • Imminent outage prediction • ITSI Predictive Analytics Anomaly Detection • Deviation from past behavior • Deviation from peers • Unusual changes in features • ITSI MAD Anomaly Detection
- 12. © 2019 SPLUNK INC. Predictive Analytics
- 13. © 2019 SPLUNK INC. Univariate Linear Regression _time
- 14. © 2019 SPLUNK INC. Univariate Linear Regression _time
- 15. © 2019 SPLUNK INC. Multivariate Linear Regression _time date_hour date_wday
- 16. © 2019 SPLUNK INC. Multivariate Linear Regression _time date_hour date_wday
- 17. © 2019 SPLUNK INC. Multivariate Linear Regression _time date_hour date_wday
- 18. © 2019 SPLUNK INC. Multivariate Linear Regression Predict Algorithm LLP: Seasonal local level
- 19. © 2019 SPLUNK INC. Multivariate Linear Regression Predict Algorithm LLP: Seasonal local level
- 20. © 2019 SPLUNK INC. Anomaly Detection
- 21. © 2019 SPLUNK INC. Anomaly Detection
- 22. © 2019 SPLUNK INC. Anomaly Detection
- 23. © 2019 SPLUNK INC. Anomaly Detection
- 24. © 2019 SPLUNK INC. Multivariate Linear Regression Residuals
- 25. © 2019 SPLUNK INC. Multivariate Linear Regression Residuals Thanksgiving November 27, 2015
- 26. © 2019 SPLUNK INC. Cohesive Anomaly Detection
- 27. © 2019 SPLUNK INC. IT Service Intelligence
- 28. © 2019 SPLUNK INC. Collaboration and Remediation with VictorOps
- 29. © 2019 SPLUNK INC. When these products find broken stuff, they send the information to VictorOps VictorOps processes the stream of event data VictorOps engages the correct people to collaboratively solve the problem Connect Your Experts with the Right Information
- 30. © 2019 SPLUNK INC. TROUBLESHOOTING MEANINGFUL ALERTS Event Analytics • Reduce Event Noise • Reduce High Priority Tickets • Increase Mean Time Between Failures From Monitoring to Collaborative Incident Response ITSI and VictorOps offer complementary value Service Insights • Reduce Mean Time to Resolution (MTTR) • Single and Correlated View of IT and Business KPIs • Predict and Prevent Imminent Outages • On-Call scheduling made simple • Centralized visibility to alerts • Customizable Rules and Logic to automate alerting • Post-Incident Reviews and Reporting • Actionable Mobile Application
- 31. © 2019 SPLUNK INC. Demonstration
- 32. © 2019 SPLUNK INC. Put AI at the Heart of Your Operations Splunk ITSI for AIOps Processed events 8 minutes faster, on average 15% improvement in SLA performance Reduced the number of IT incidents fivefold, decreased MTTR by 65% Predicted their Service Health Score’s impact 20-30 minutes into the future Effective Proactive Predictive
- 33. © 2019 SPLUNK INC. Predict ITSI and Sophisticated Machine Learning Forecast Statistical Anomalies and Forecasts (Parts 1,2,3) Collaborate Resources How-To Blogs at Your Disposal
- 34. © 2019 SPLUNK INC. What to Remember and Where to Go if You Fell Asleep Key Takeaways 1. Splunk ITSI provides out of the box KPI Prediction capabilities 2. Use Machine Learning through MLTK to build custom prediction models for a repeatable ability to Predict Service Health 3. Splunk ITSI allows for Rapid Service, KPI, Entity creation and alerting 4. VictorOps makes on-call suck less through collaboration and improves the Mean Time to Remediate Availability Impacting Situations 5. Read the blogs!
- 35. © 2019 SPLUNK INC. Questions? Please feel free