AppSphere 15 - Deep Dive into AppDynamics Application Analytics

AppSphere 15 - Deep Dive into AppDynamics Application Analytics

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  Deep Dive intoAppDynamics Application Analytics Nima Haddadkaveh, Principal Product Manager
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  “Software Is Eatingthe World.” Marc Andreessen Copyright © 2015 AppDynamics. All rights reserved. 2
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  What do youneed to run a software business? Copyright © 2015 AppDynamics. All rights reserved. 3
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  We believe youneed a software Analytics Platform Copyright © 2015 AppDynamics. All rights reserved. 4
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  You need tobe able to answer three questions: Copyright © 2015 AppDynamics. All rights reserved. 5 •  It requires the Business, IT and Executives work closely together Application Performance How are customers engaging? Am I Ready? How is my business look like? Customer Experience/Behavior Business Success Criteria Mobile (RUM) Browser (RUM) Application AnalyticsApplication Analytics Unified Monitoring
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  What if youknew in real-time… Top Product Categories Customers by Tier Average Response Time $232,390Revenue impact of poor performance Top products generating highest revenue Revenue by cities Most of customers experiencing issues are Platinum Total Revenues Top Cities Performance timestamp indicating trend towards problem
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  What is AppDynamicsApplication Analytics? •  Real-Time, Big Data Analytics Platform •  Single End-to-End Solution Copyright © 2015 AppDynamics. All rights reserved. 7 Collect Data •  Automatic •  Unstructured + Structured Process Data •  Business Context •  Infinitely Scalable Visualize Data •  Visual/Advanced Query Building •  Instant Ad-Hoc Analytics Act on Data •  Alert on Query Results •  Execute HTTP/Custom Actions
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  AppDynamics Application AnalyticsProduct Suite Copyright © 2015 AppDynamics. All rights reserved. 8 Log Analytics Browser & Mobile Analytics Transaction Analytics •  Capture every business transaction •  Extract business & performance detail •  Auto-correlated data •  Collect every single log •  Provide insight out-of-the- box •  Correlate transactions to logs •  Used in conjunction with APM data to complete the picture & context •  Capture all browser & mobile requests •  Real-Time visibility into end-user web experience •  Real-time visibility into mobile apps and crashes
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  TECHNOLOGY OVERVIEW
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  Data sources? Transaction Data Browser& Session Data Mobile Data Log Data 011010110101101011010110101101011001 011010110101101011010110101101011001 011010110101101011010110101101011001 Application Analytics Add custom fields Data Sources APM Transaction Events Browser Request Events Mobile Request Events Log Events Collect Data Process Data Visualize Data Act on Data Custom Events Synthetic Data
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  Agent Side Components Copyright© 2015 AppDynamics. All rights reserved. 11 AppServerHost1 JVM Logs Machine Agent App Agent Application Intelligence Platform Controller Events Service Collect Data Process Data Visualize Data Act on Data
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  Multi Node AgentArchitecture Copyright © 2015 AppDynamics. All rights reserved. 12 Collect Data Process Data Visualize Data Act on Data
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  Process Data Collect Data Visualize Data Acton Data Process Data
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  Create Widget Copyright ©2015 AppDynamics. All rights reserved. 14 Process Data Act on Data Collect Data Visualize Data
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  Visualize data Copyright ©2015 AppDynamics. All rights reserved. 15 Process Data Act on Data Collect Data Visualize Data
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  Act on data Copyright© 2015 AppDynamics. All rights reserved. 16 Process Data Act on Data Collect Data Visualize Data
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  Technology: what makesus different Single pane of Glass (APM + Application Analytics) Automatically correlate transactions to logs Analyze data in real-time OPTION 1 SLIDE SaaS On-Prem Private cloud Your choice: Public cloud
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  NEW FEATURES IN4.2
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  Rich and extensibledata platform
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  Application Analytics API • Create Schema (define events schema) •  Analytics Events API (bring external data in) •  Search API (export your data out) Copyright © 2015 AppDynamics. All rights reserved. 20
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  API Keys Configuration Copyright© 2015 AppDynamics. All rights reserved. 21
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  Syslog - TCP Copyright© 2015 AppDynamics. All rights reserved. 22
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  Deeper Insight
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  ADQL (AppDynamics QueryLanguage) •  A SQL flavored language •  Auto-complete •  Designed to cover multiple event types •  Flexible architecture to expand for advanced capabilities
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  BT/Log GUID Correlation • Enabling Log & BT correlation by appending the AppD BT GUID to logs within three places: –  APM snapshot to log analytics –  Transaction analytics to log analytics –  Log analytics to transaction analytics Copyright © 2015 AppDynamics. All rights reserved. 25
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  BT/Log GUID Correlation Copyright© 2015 AppDynamics. All rights reserved. 26
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  Extend Grok Patternsto include Key-Value Split Copyright © 2015 AppDynamics. All rights reserved.
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  Platform Enhancement
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  Authentication & AccessControl •  Analytics role-based access control •  Feature & data level access •  LDAP for authentication •  Single sign on Copyright © 2015 AppDynamics. All rights reserved. 29 Application Analytics
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  RBAC Configuration 30
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  Data Visualization
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  Custom Dashboard •  Aggregatedata from APM & Analytics •  Show a single view of both historical & live data •  Schedule report •  Each widget has its own time range & query •  Share with other users & stakeholders Copyright © 2015 AppDynamics. All rights reserved. 32
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  New Widgets •  Funnelwidget •  Multiple X & Y on each widget Copyright © 2015 AppDynamics. All rights reserved. 33
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  New Widgets Copyright ©2015 AppDynamics. All rights reserved. 34 •  Histogram widget
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  DEMO
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  Thank You
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  Appendix
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  Automatic Field Extraction(may not be in 4.2) Copyright © 2015 AppDynamics. All rights reserved. 38
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  AppDynamics agents monitorevery Business Transactions Automatically collected Business Transaction Context and deliver end-to-end application performance visibility 100% Business Transactions
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  AppDynamics agents collectbusiness data and enable business and operational visibility Platinum customer British Airways API Flight to London Total cost $1,800 Kevin Gold IOS AT&T Laura Lewis iPad T-Mobile Poor experience Flight to New York Code level issue Silver customer Total cost $712 Matt Jacobs IOS AT&T Good experience Gold customer Flight to Miami Total cost $650 Database issue Tracy Kraft iPhone 6 AT&T Poor experience Silver customer Code level issue Flight to Tokyo Total cost $1,100 Libby Halll iPad T-Mobile Poor experience Platinum customer Code level issue Flight to New York Total cost $850 Log
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  Copyright © 2015AppDynamics. All rights reserved. 41 Application Database Operating System Virtualization LDAP Storage Firewall Load Balancer CDN Web Server Network AppDynamics agents collect log events We collect & record every log line from infrastructure powering your application Automatic discovery of all common log formats Extensible framework to ingest custom log formats
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  Log Platinum customer British Airways API Flight to London Totalcost $1,800 Kevin Gold IOS AT&T Laura Lewis iPad T-Mobile Poor experience Flight to New York Code level issue Silver customer Total cost $712 Matt Jacobs IOS AT&T Good experience Gold customer Flight to Miami Total cost $650 Database issue Tracy Kraft iPhone 6 AT&T Poor experience Silver customer Code level issue Flight to Tokyo Total cost $1,100 Libby Halll iPad T-Mobile Poor experience Platinum customer Code level issue Flight to New York Total cost $850 Jude Germangy Platinum customer Book Flight Flight to London Travel Airways API Total cost $1,800 Ready for real-time insights Automatically collected Fully correlated Platinum customer, Jude Germangy, failed while booking a flight to London for $1,800 while using a browser due to issues with the Travel Airways API Answer individual user questions in real-time
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  Log Platinum customer British Airways API Flight to London Totalcost $1,800 Kevin Gold IOS AT&T Laura Lewis iPad T-Mobile Poor experience Flight to New York Code level issue Silver customer Total cost $712 Matt Jacobs IOS AT&T Good experience Gold customer Flight to Miami Total cost $650 Database issue Tracy Kraft iPhone 6 AT&T Poor experience Silver customer Code level issue Flight to Tokyo Total cost $1,100 Libby Halll iPad T-Mobile Poor experience Platinum customer Code level issue Flight to New York Total cost $850 Answer aggregate questions in real-time Poor experience Poor experience Poor experiencePoor experience Poor experience Poor experience Total cost $1,800 Total cost $850 Total cost $712 Total cost $1,100 Total cost $650 A total of $4,785 revenues were at risk due to poor experience while booking flights Ready for real-time insights Automatically collected Fully correlated