Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Was ist angesagt?
Was ist angesagt? (18)
Ähnlich wie Webinar: Machine learning analytics for immediate resolution to the most challenging virtualization issues
Ähnlich wie Webinar: Machine learning analytics for immediate resolution to the most challenging virtualization issues (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Webinar: Machine learning analytics for immediate resolution to the most challenging virtualization issues
- 1. MACHINE LEARNING ANALYTICS FOR IMMEDIATE RESOLUTION TO THE MOST CHALLENGING VIRTUALIZATION ISSUES
- 2. About the Speakers David M Davis 7 x vExpert, Author, Blogger, Speaker Partner at ActualTech Media Jim Shocrylas Director of Product Management at SIOS Technology
- 4. What You’ll Learn Today Troubleshooting challenges being faced Reasons we have troubleshooting inefficiency Best practices for incident response Why machine learning Demonstration of machine learning in action
- 5. Watch the Full Webinar!
- 6. How Did We Get Here? Added a virtualization layer In an attempt to maximize datacenter resources (and ROI), you consolidated physical hosts into VMs (pushing up CPU and memory utilizations) Assigned and attempted to manage virtual resources Shared SAN LUNs between many VMs and applications Created the “I/O blender”
- 7. Key Performance Troubleshooting Challenges Complex infrastructures Host CPU and memory pushed to the limits VMs moving from host to host, dynamically VM sprawl, more and more VMs, not even sure what they do or what their relationships are Latency sensitive applications and latency sensitive end users VDI and more Tier-1 apps virtualized
- 8. Key Performance Troubleshooting Challenges Limited Visibility Current tools are designed for standalone hosts One tool for host CPU, memory, and local disk – another tool for the network – another tool for SAN management – another tool for application performance monitoring (if any) Finger pointing Alert storms Trouble finding the root cause
- 9. Key Performance Troubleshooting Challenges No Application Metrics Most companies don’t have an APM If they do have an APM it’s not virtualization-aware (yet another tool) Many application performance metrics are just the gut feel of end users “it’s slower today than it was yesterday, can you fix it?”
- 10. Key Performance Troubleshooting Challenges Troubleshooting Using Trial and Error Too much troubleshooting is done “in the dark”, i.e.” “starting with the most likely cause (based on past experience) and going from there…” This is inefficient, stressful, and causes unneeded downtime and unneeded poor application performance Even worse – it’s easily resolved with the right tool
- 11. Key Performance Troubleshooting Challenges All of this results in… Lengthy, painful, and costly troubleshooting for your company’s business-critical applications! All of that equates to… Lost revenue and wasted resources for the company (maybe even lost customer loyalty)
- 12. The cost of an outage averages $20,000 per hour -- IDC Research
- 13. Best Practices for Incident Response What you want… Predict problems BEFORE they happen Solve problems FASTER when they do
- 14. Best Practices for Incident Response What you need…. Smarter tools Machine analytics
- 15. Best Practices for Incident Response What to look for … Have a “Go To” tool that offers a holistic view of the infrastructure Don’t use threshold-based tools that generate tons of alerts Identify root cause – FAST Use a tool that provides answers, not just alerts
- 16. SIOS iQ™ IT Operations Analytics Platform for Virtualized Environments Jim Shocrylas, Director of Product Management, SIOS Technology Corp.
- 17. Helping IT Meet Application Service Level Commitments While Lowering Operations and Resource Costs What Problems Do We Solve? • Resolving IT issues quickly • Maintaining resilience and availability • Accurately planning for growth • Accurately predicting the impact of infrastructure or workload changes • Lowering costs without impacting operations ‒ Optimizing computing resources ‒ Optimizing IT’s time & effectiveness Copyright @ 2016 SIOS Technology Corp. All rights reserved. 17
- 18. SIOS iQ: One Touch to Clarity The Primary Source for IT Operations Information • Predictive analytics without writing rules or thresholds • Learns & predicts behavior & interactions between objects • Provides critical intelligence with guided remediation • Delivers immediate analysis and root cause Groundbreaking Simplicity • 15 minute install, minimal configuration, no agents • Touch enabled, responsive UI • Unifying view of infrastructure health derived through self-learning analytics Significantly Faster Time to Issue Resolution Automatic Identification of Issues Before They Become Problems Copyright @ 2016 SIOS Technology Corp. All rights reserved. 18 Next-Generation IT Operations Analytics Platform
- 19. Today’s Monitoring Tools Too Much Data, Not Enough Insight • Siloed View • Key Information Lost in Noise • Complex, manual • Requires Specialized Skills • Limited Insights • Falls Short of “Deep Root Cause” Identification • Too Many Different Answers in Too Many Places Copyright @ 2015 SIOS Technology Corp. All rights reserved. 19 • Alert Storms • False Positives • Averaged Data NetworkStorageHostApplication Other
- 20. Automatically learns relationships and behavior patterns to uncover hidden interactions that underlie the root cause of issues Topological Behavior Analysis & Machine Learning Transforms Data into a Topology Map Measures and analyzes interrelated objects • Learns behavior of interrelated objects. • Identifies anomalies • Derives root cause and recommendations Multi-dimensional behavior Analysis Of Related Measurements (Latency and IOPS for example) Copyright @ 2016 SIOS Technology Corp. All rights reserved. 20
- 21. What are Next Generation IT Analytics? Legacy Tools Copyright @ 2015 SIOS Technology Corp. All rights reserved. 21 SIOS iQ Next Generation Machine Learning Analytics Manual Configuration: Requires configuration & continual adjustment Self-Configuring: Requires minimal configuration – self adjusting Reactive: Reports current events that IT must react to Proactive, Preventative: Predictive analytics identifies impending issues Provides Data: IT left to analyze multiple sources Provides Intelligence: Deep analytical understanding with recommendations Threshold-based Rules: Limited insight into operations causing alert storms Self-Learning: Automatically learns delivering only meaningful issues
- 22. SIOS iQ: One Touch To Clarity VMware HA Analysis Capacity Forecast vRealize Injection Application Impact Host Based Caching PerformanceForecasting Application Contention: Compute, Storage, Network Resource Contention: Compute, Storage, Network SnapShot Waste VMs: Undersized, Oversized, Idle, Rogue Issue Detection Impact Analysis Root Cause Identification Solution Recommendation
- 23. SIOS iQ Demo 23Copyright @ 2015 SIOS Technology Corp. All rights reserved.
- 24. SIOS iQ Machine Learning-Based IT Analytics Copyright @ 2015 SIOS Technology Corp. All rights reserved. Protect and Optimize Business Critical Applications in VMware Environments Unified View Across Infrastructure Actionable Recommendations One Touch Performance Root Cause Analysis Self Learning SIOS PERC Dashboard™ Immediate Access to Critical Information Fast, Accurate Resolution of Performance Issues Eliminate Guesswork Automatically Improving & Optimizing Reported Analysis Analytics Derived Information without Alert Storms or False Positives
- 25. SIOS iQ: IT Operations Intelligence in Virtual Environments • Simple install: OVA file installs in minutes • Analyzes Hundreds of Thousands of Data Points Out of the Box • One Touch Performance Root Cause Analysis ‒ Identify performance issues in one touch ‒ Optimize VMware environments for performance ‒ Meet performance requirements for business critical applications • Host Based Caching Analysis ‒ Fast, accurate way to apply SSD storage for optimal application performance ‒ Predict potential savings and performance improvements • VM Resource Optimization ‒ Identify idle VMs and unneeded snapshots ‒ Save money and eliminate waste 25Copyright @ 2015 SIOS Technology Corp. All rights reserved.
- 26. Poll Questions
- 27. Prize Winner! And the Winner is….
- 29. For More Information… • Registrants are Eligible to Download a FREE 30 Day Trial of SIOS iQ software at: http://us.sios.com/iq/cta/free-edition/ • Email Us at: info@us.sios.com • Follow Us on Twitter: @SIOSTech • Call Us at 866.318.0108 (toll free US) or +1.650.645.7000 • Visit Us Online: SIOS Technology: http://us.sios.com
Hinweis der Redaktion
- ** slides full screen ** make us all organizers ** click SHOW MY SCREEN ** Start broadcast ** RECORD —— [TITLE SLIDE] Hello and Welcome to….. Webinar - Machine Learning Analytics for Immediate Resolution to the Most Challenging VIrtualization Issues My name is David Davis and I’ll be the moderator for this event. Today’s event is brought to you by SIOS and Actual Tech Media Before we get started, there are just a few house keeping items I need to cover.. If you have questions during the webinar, please use the goto webinar question box to enter your question. We’ll have having a Q&A session at the end of the event where we’ll answer those questions. During the webinar there will be 2 points where we ask you to answer a couple of quick survey questions to ensure that we are connecting with your needs on this webinar and future webinars. You can download a great whitepaper on this topic as well as today’s presentation in the handouts section of the goto webinar client. We’ll be selecting one lucky attendee today to win a $300 amazon gift card that we will give away at the end of the event. We’ve got a lot to cover so Let’s get started!!
- So that you have a little background on who is presenting today, let me first tell you about myself. My name is David Davis and I’m a VMware vExpert, VCP, CCIE, and a video training author, on the topic of virtualization, for pluralsight.com. I started my career in IT as a server and network admin, working in the datacenter. Later I was an IT manager at medium enterprise where we had a very successful server consolidation project, consolidating roughly 80% of our servers. It was then that I learned about the great power and efficiency that virtualization could provide. Since then, I’ve been writing, speaking, and creating video training around virtualization. I’ve spoke at VMware user groups and Vmworld in the US, Canada, and Europe. I’m the co-owner of actualtechmedia.com where we create technical marketing content and demand generation for companies in virtualization, storage, and cloud computing. My blog is virtualizaitonsoftware.com and you can find me on Twitter as @DavidMDavis. I’m proud to be joined by Jim … tell us about yourself (BIO)
- Before we cover today’s agenda, I’ve got 2 quick poll questions for the audience…. How many hosts do you manage? Do you use multiple tools to monitor your environment? Based on what you saw today, would you like to learn more about SIOS analytics?
- Key performance troubleshooting challenges facing IT managers in VMware environments Key reasons that you may not be leveraging your infrastructure as efficiently as possible Best practices strategy for responding to performance issues in VMware environments that aligns staff, infrastructure, and monitoring/management resources Understand the importance of using machine learning based IT analytics as a first place to go to resolve performance issues See a demonstration of how a machine learning based solution instantaneously identifies the root causes of performance issues, recommends solutions, and predicts the outcomes of recommendations
- #FirstStopforAnswers
- #FirstStopforAnswers
- .
- SIOS vGraph Technology Automatically discovers complex and hidden relationships between all objects SIOS Machine Learning Engine Derives actionable insights Detects anomalies Delivers continuous analyses to derive an optimal solution Dynamically sets thresholds and rules Simulates effects of changes SIOS PERC Dashboard Presents the knowledge and advice in an easy-to-use, easy-to-access format vGraph – discovers the complex behaviors and hidden relationships between the objects. Machine Learning – detects the anomalies based on the patterns daily, weekly, monthly patterns…in real time. Versus fixed or averaged computed thresholds - competitors averages the data over 5 minute intervals generates dynamic thresholds that are computed on weighted standard deviation With introduction of virtualization and Software Defined Datacenter managing next generation datacenter becomes a Big Data problem. Today’s dynamic environment is getting increasingly complex with emerging technologies include Converged, Hyper-Converged, All Flash Arrays,, Host Base Caching requiring advanced approaches that understand the subtle interplay between operational real-time data in order to call out anomalous behavior which would otherwise appear as noise. This problem requires a sophisticated analytic that is capable to extract the signal from the noise identify issues and provide the solution to a problem. SIOS iQ takes that complex Big Data and analyzes it leveraging the principals of machine learning and patented Topological Behavior Analysis transforming that noise into the meaningful information. 1) SIOS iQ builds a multi-dimensional (internal) representation of the entire infrastructure understanding the subtle inter-relationships which taken together holistically that the less advanced approaches never discover. 2) It identifies the historical patterns of behaviors of the individual objects for individual measures such as latency, IOPs, vMem utilization etc. SIOS iQ takes the individually learned patterns and runs it through Topological Behavior Analysis where we incorporate behavioral analysis across the multiple dimensions of the related objects determining the causal relationships to accurately and precisely delivering results which is presented to the user with a single touch. The topology map represents the output of a small deployment taken from the SIOS iQ environment. It demonstrates the complexity, where we see two vCenters and the fanning out of VMs, DataStores from the hosts. SIOS iQ understands the system holistically and the interrelationships among the objects in this dynamic environment as workloads are added, moved and the resulting impact.
- Based on what you saw today, would you like to learn more about SIOS analytics?