Dynatrace, Inc. · NYSE:DT

Dynatrace — Dynatrace Perform 2018

110 slides from Dynatrace's conference presentation, 2018

  1. Slide 1: Bernd Greifeneder and Alois Reitbauer

    Bernd Alois Reitbauer Greifeneder Chief Technology Strategist, Dynatrace CTO and Founder, Dynatrace #Perform2018

  2. Slide 2: Leading innovation in the APM space – and beyond

    Cloud innovation and automation Leading innovation in the APM space – and beyond #Perform2018

  3. Slide 3: Davis is available for everyone – for free

    Davis is available for everyone – for free

  4. Slide 4: Davis skill in the Alexa store

    Davis skill in the Alexa store

  5. Slide 5: Davis Slack App

    Davis Slack App ‘App Directory App privacy policy prop pehavior ser of the Dynatrace artificial intelligence to lery complex data using plain English. unt? Start a free 15-day trial here. ers at davis @dynatrace Get a summary of your apps’ performance Would you like these issues Create Workspat

  6. Slide 6: 90+ different interactions supported

    90+ different interactions supported

  7. Slide 7: Customer quotes on using Davis

    “Every time I use Davis, I gain 5 minutes back in my life, instead of searching for the answer to the problem” – Devonte Emokpae, Head Of Development at Doctify “With Davis we have seen a 30% increase in users adopting Dynatrace. By using voice, it’s a quick and fast way for people to interact, ...”

  8. Slide 8: Some stats of last year

    Some stats of last year 250 % 10k growth per month interactions/month 500 800 active users tenants connected

  9. Slide 9: Today we announce a major new feature

    Today we announce a major new feature

  10. Slide 10: Notifications for Amazon Echo and Slack

    Notifications for Amazon Echo and Slack

  11. Slide 11: Next: Davis integrated into Dynatrace search

    Next: Davis integrated into Dynatrace search

  12. Slide 12: One more thing ...

    One more thing ...

  13. Slide 13: Davis always was about multimodal interfaces

    Davis always was about multimodal interfaces

  14. Slide 14: Visual Interfaces of the future

    Visual Interfaces of the future

  15. Slide 15: Introducing Davis for Microsoft HoloLens

    Introducing Davis for Microsoft HoloLens

  16. Slide 16: Demo happens here … nobody should see this slide

    Demo happens here … nobody should see this slide

  17. Slide 17: Built on top of Dynatrace APIs

    Built on top of Dynatrace APIs

  18. Slide 18: Innovator Program

    2 ma ai r/ i Program Innovator

  19. Slide 19: Innovator Program – What you get

    Innovator Program – What you get Dedicated hardware Quarterly workshops with the lab Access to new features before EAP stage Invited-only access innovators conference Limited to 15 participants. 25k $ annual program fee

  20. Slide 20: Going beyond APM and soaring to the future

    Going beyond APM and soaring to the future Bernd Greifeneder CTO, Dynatrace #Perform2018

  21. Slide 21: tmon

    Ca tmon E jus ring tor

  22. Slide 22: We enable customers' transition to self-driving IT

    a o we enable customer P= [ 7 » transition to self-driving IT

  23. Slide 23: Customer pressures driving self-driving IT

    customers ux cost competition rapid-releases agility automation org/culture cloud technology real-time self-driving IT complexity feedback

  24. Slide 24: Ingredients of self-driving IT

    ingredients of self-driving IT openness: automate AI: answers & orchestration technology: cloud organization: break silos culture: BizDevOps

  25. Slide 25: Ingredients of self-driving IT: AI answers and orchestration

    ingredients of self-driving IT AI: answers & orchestration Andreas Lehofer Wolfgang Beer Chief Product Officer Dynatrace Technical Product Manager Dynatrace

  26. Slide 26: 5 years ago ...

    5 years ago ...

  27. Slide 27: Most AIOps tools are failing!

    Most AIOps tools are failing! Too slow for modern environments No root cause information

  28. Slide 28: Why is Dynatrace different?

    Why is Dynatrace different? better data quality stronger context and semantics smarter algorithms

  29. Slide 29: Metric-based AIOps

    Reality 2nd Gen APM + Monitoring AIOps metric based C: Container B Algorithm & Model Machine Learning B: Service A: Mobile app A C confidential

  30. Slide 30: Metric-based AIOps

    Reality 2nd Gen APM + Monitoring AIOps metric based C: Container B Algorithm & Model Machine Learning B: Service A: Mobile app A C confidential

  31. Slide 31: Event-based AIOps

    Reality 2nd Gen APM + Monitoring AIOps event based C: Container A Algorithm & Model Machine Learning B: Service B C A: Mobile app Reality 2nd Gen APM + Monitoring AIOps metric based C: Container B Algorithm & Model Machine Learning B: Service A: Mobile app A C confidential

  32. Slide 32: Dynatrace AI-based monitoring

    Reality Dynatrace AI based monitoring Logs C: Container C: Container Algorithm & Model TCP Connections Machine Learning Events B: Service B: Service PurePath A: Mobile app User sessions A: Mobile app Metrics Reality 2nd Gen APM + Monitoring AIOps event based C: Container A Algorithm & Model Machine

  33. Slide 33: Dynatrace AI-based monitoring

    Reality Dynatrace AI based monitoring Logs D C: Container C: Container D Algorithm & Model TCP Connections Machine Learning Events B: Service B: Service PurePath A: Mobile app User sessions A: Mobile app Metrics Reality 2nd Gen APM + Monitoring AIOps event based C: Container D A Algorithm & Model Ma

  34. Slide 34: Business impact calculated, root cause detection

    Noise reduction 1 Problem vs 15 Business impact incidents calculated Root cause detection without learning Drilldown to Drilldown to impacted user code-level sessions Real time dependency and change detection

  35. Slide 35: Value comparison of AI approaches

    Reality Dynatrace AI based monitoring Va l ue Logs D C: Container C: Container D Event noise reduction Algorithm & Model TCP Connections Machine Learning Events Root cause B: Service B: Service PurePath Business impact A: Mobile app User sessions A: Mobile app Metrics Dependency detection Reality 2n

  36. Slide 36: Better data quality, stronger context, smarter algorithms

    better data quality stronger context and semantics smarter algorithms real time business impact & root cause detection

  37. Slide 37: Overwhelmed with isolated events

    Overwhelmed with isolated events Orchestration & Scheduling Release & Deployment Config Mgmt./ Provisioning Cloud confidential

  38. Slide 38: AIOps of the future is here!

    AIOps of the future is here! Next generation of Dynatrace AI opening Dynatrace AI to external data

  39. Slide 39: Dynatrace AI leverages external data

    Dynatrace AI leverages external data Reality Dynatrace AI based monitoring Dynatrace API Your extensions Your DevOps teams Dynatrace Partners Dynatrace Services 3rd party solution

  40. Slide 40: Beyond APM Extended Monitoring

    Beyond APM Extended Monitoring

  41. Slide 41: Slide 41

  42. Slide 42: confidential

    confidential

  43. Slide 43: Deployment details in Dynatrace

    Odynatrace € ea Transactions & services CheckDestination < Today, 07:57 - Now Dashboards Create custom chart Problems User sessions Log files Smartscape topology Diagnostic tools ‘Applications Synthetic Transactions & services Databases Data center services Hosts Network Technologies VMware aws Open

  44. Slide 44: CheckDestination service view

    Pdynatrac Transactions Destination < Today, 07: D: ds ate custom chi Reports Problems Applications Synthetic ‘Transactions & services Databases Data center services Hosts Network Technologies VMware A Openstack ee CheckDestination SS Last cal 42 second age \ Properties and tags Requests Response tim

  45. Slide 45: Response time degradation analysis

    Pdynatrac € ‘Transactions CheckDestination ) Details Smartscape tops Diagnostic tools rl Dynatra Deployment status S28. CheckDestination Failures cpu Throughput View | Median Slowest 5 % Response time Response time degradation Show problem des, sos 400 /min oms 0 mi Response time Requests — Slowest

  46. Slide 46: Problem with business impact analysis

    Dashboards stom chart Problems Users Log files Smartscape topol Transactions & serv Databases Data center services Deploy Dynatrace Deployment status Problems) Problem 197 A www.eeasytravelb2b.com: User action duration degradation Problem 187 detected at 07:57 (open for 12 minutes). This problem aff

  47. Slide 47: Problem root cause: deployment

    s ¢ Problems Dashboards A 2 applications: User action duration degradation Problem 197 detected at 07:57 ~ 08:10 (was open for 13 minutes) This problem affects real users. teed tewveed Meniored - 16 10 ‘Q 162,397,950 - 2 sn Dependencies analyzed Business impact analysis Root cause fn analysis ofall

  48. Slide 48: Ingredients of self-driving IT

    ingredients of self-driving IT openness: automate, integrate AI: answers & orchestration

  49. Slide 49: % customers applied API automation

    40 % customers applied API automation confidential

  50. Slide 50: Ingest, map and action via APIs

    ingest & map action alert (3rd party tools, UFO, …) tech / biz metrics orchestration events (logs, deployments, Davis conversations CD/CI, infrastructure) remediation/self-healing opentraces* business event OpenKit RUM* CMDB population manage OpenAgent SDK* ServiceNow population dashboards* stacktra

  51. Slide 51: Openness: why does it matter?

    openness why does it matter? coverage automation applications entire cloud & app landscape Business + IT + Dynatrace custom solutions for IT & Biz confidential

  52. Slide 52: CI/CD/ITSM automation

    CI/CD/ITSM automation Orchestration & Scheduling Release & Deployment Config Mgmt. /Provisioning Cloud / IaaS / PaaS

  53. Slide 53: SmartScape updating CMDBs

    SmartScape updating CMDBs Log files Smartscape topology Reports PU profiler (code-evel)

  54. Slide 54: Orchestrate remediation and self healing

    Orchestrate remediation & self healing confidential

  55. Slide 55: Davis is built on Dynatrace APIs

    Davis is built on Dynatrace APIs confidential

  56. Slide 56: Alexa application monitoring

    Applications |) easyTravel Alexa ‘This feature is still in beta. Have feedback for the team? lice the Chat @ icon in the menu bar 8 easyTravel Alexa [-] No problems in st 72 nou Custom application Top actions ‘Shows the top actions and their contribution to the overall app performance => Type Name A

  57. Slide 57: Utilization analysis

    Utilization analysis Utilization analysis View all your monitored hosts and those that can be monitored but are not at the moment. Furthermore, get detailed information ME QO Utilization analysis) Overview AWS EC2 Instances a : HH 94 EC2 Instances available for monitoring ype we . . Utilization anal

  58. Slide 58: Business Automation

    Business Automation failed transaction trigger CRM system for remediation confidential

  59. Slide 59: Ingredients of self-driving IT: technology cloud

    ingredients of self-driving IT openness: automate AI: answers & orchestration technology: cloud Alois Reitbauer Chief Technology Strategist

  60. Slide 60: Strategic Collaboration with Cloud Providers

    Strategic Collaboration with Cloud Providers

  61. Slide 61: Certified for Cloud-Native Monitoring

    Certified for Cloud-Native Monitoring

  62. Slide 62: Defining the future of Cloud Native Monitoring

    Defining the future of Cloud Native Monitoring CNCF Silver Member Cloud Foundry Foundation Silver Member

  63. Slide 63: Runs on your cloud

    Runs on your cloud on demand

  64. Slide 64: Infrastructure as a Service

    Infrastructure as a Service

  65. Slide 65: Infrastructure as a Service

    Infrastructure as a Service AWS Openstack VMWare Azure Deeper support coming for Azure Google AWS Cloud

  66. Slide 66: Dedicated Microsoft Azure Screen Preview

    Dedicated Microsoft Azure Screen Preview

  67. Slide 67: Multi-cloud Visibility

    Multi-cloud Visibility

  68. Slide 68: Container as a Service

    Infrastructure as a Service Container as a Service

  69. Slide 69: Container as a Service

    Container as a Service Docker Azure Mesosphere AWS ECS Container Service DC/OS

  70. Slide 70: Industry leading container support

    Industry leading container support

  71. Slide 71: Platform as a Service

    Platform as a Service Infrastructure as a Service Container as a Service

  72. Slide 72: Platform as a Service

    Platform as a Service Kubernetes Cloud Foundry OpenShift ServiceFabric Google SAP Cloud Container Engine Platform Coming this year Google Pivotal AWS Heroku App Engine Container Engine Fargate

  73. Slide 73: The easiest way to monitor any platform

    The easiest way to monitor any platform

  74. Slide 74: Cloud Foundry Full-Stack Dashboard Preview

    Cloud Foundry Full-Stack Dashboard Preview

  75. Slide 75: Function as a Service

    Platform as a Service Infrastructure as a Service Container as a Service Function as a Service

  76. Slide 76: Function as a Service

    Function as a Service Beta in February AWS Azure Lambda Functions Coming later this year Pivotal Google Function Service Cloud Functions

  77. Slide 77: Lambda Insights without touching code

    Lambda Insights without touching code

  78. Slide 78: Deepest Visibility in the Industry

    Deepest Visibility in the Industry

  79. Slide 79: Cloud Services

    Platform as a Service Cloud Services Infrastructure as a Service Container as a Service Function as a Service

  80. Slide 80: Cloud Services

    Cloud Services Load balancers and other cloud infrastructure services IoT gateways and middleware Machine learning and AI APIs

  81. Slide 81: Extend visibility into “cloud mechanics”

    Extend visibility into “cloud mechanics”

  82. Slide 82: Example of X-Ray Supplementing Dynatrace Data

    Example of X-Ray Supplementing Dynatrace Data Preview

  83. Slide 83: Ingredients of self-driving IT: organization

    ingredients of self-driving IT openness: automate AI: answers & orchestration technology: cloud organization: break silos

  84. Slide 84: 80% org and culture, 20% technology

    getting agile requires breaking the silos 80% org & culture 20% technology confidential

  85. Slide 85: Illustrating example: breaking silos

    illustrating example breaking silos services sales biz support dev silos disjunct departmental goals slow cross-dept. process slow releases disconnect user/service/product competitive market

  86. Slide 86: Growth hacking squads break the silos

    illustrating example: growth hacking squads break the silos microservice microservice app app 1 2 3 …. 4 sales agile rapid-releases biz outcome oriented services automated biz bigdata driven BizDevOps dev support biz outcome biz outcome biz outcome biz outcome

  87. Slide 87: Ingredients of self-driving IT: culture BizDevOps

    ingredients of self-driving IT openness: automate AI: answers & orchestration technology: cloud organization: break silos culture: BizDevOps

  88. Slide 88: dynatrace.com/ufo

    dynatrace.com/ufo http://dynatrace.github.io/ufo buy here @Perform 2018

  89. Slide 89: Safe production access for dev and usage feedback

    safe production usage feedback user behavior access for dev pride & responsibility enables business info. democracy auto-everything data-driven fosters collaboration speed & agility Dynatrace AI

  90. Slide 90: NoOps and BizDevOps changed product, quality and culture

    noops & bizdevops changed product, quality and culture 26 100 450 500 % 2 7% 5 0 2011 2017 2011 2017 2011 2017 2011 2017 releases production bugs aws daily deployments per year reported by instances customers confidential

  91. Slide 91: Digital Experience Management (DEM)

    Digital Experience Management (DEM) BizDevOps key enabler Real-User Monitoring User-Experience Analytics Synthetic Monitoring Behavioral Analytics API Monitoring Funnel analysis Session Replay Compliance Complaint resolution Applications: Fraud, CRM, … confidential

  92. Slide 92: confidential

    confidential

  93. Slide 93: Don’t think of us as just monitoring

    Don’t think of us as just monitoring confidential

  94. Slide 94: confidential

    confidential

  95. Slide 95: ITOM and CMDB context

    context? user behavior? ITOM up-to-date? AI? discovery? CMDB real-time topology? Hadoop/ELK effort? confidential

  96. Slide 96: confidential

    confidential

  97. Slide 97: Dynatrace as strategic platform

    Dynatrace as strategic platform confidential

  98. Slide 98: Dynatrace as strategic platform

    Dynatrace as strategic platform data-sources orchestration adapters biz actions fraud … converters cloud cost security confidential

  99. Slide 99: Thank you

    Fpocoosonon000d BM pod € dynatrace

  100. Slide 100: #Perform2018

    #Perform2018 . " sa \ @dynatrace

  101. Slide 101: Do something you haven’t done before

    “Do something you haven’t done before. Get out of your comfort zone.” #Perform2018

  102. Slide 102: Micro Adventures

    Micro Adventures “Can I be honest? It was hard using AppMon. But we’ve moved to Dynatrace, and it’s been easy. We’ve seen a huge increase in adoption” #Perform2018

  103. Slide 103: Micro Adventures

    Micro Adventures “We are shifting to AWS which utilizes Lambda. We are going to look into shifting to Dynatrace” #Perform2018

  104. Slide 104: Micro Adventures

    Micro Adventures Dressing up as Aussie Won Kanobe…. #Perform2018

  105. Slide 105: Dynatrace micro adventure to macro adventure

    Dynatrace “Monitoring Redefined” Dynatrace micro adventure to macro adventure #Perform2018

  106. Slide 106: But you have to go on this adventure…

    But you have to go on this adventure… #Perform2018

  107. Slide 107: Let’s put code complexity into context

    Let’s put code complexity into context 4.5M - Photoshop 6 5M – Mars Curiosity 6M – Google Chrome 14M - Boeing 787 #Perform2018

  108. Slide 108: The Ford F150

    The Ford F150 150M Lines of Code #Perform2018

  109. Slide 109: IoT introduces a whole new world of complexity

    IoT introduces a whole new world of complexity #Perform2018

  110. Slide 110: Micro Adventures start with you taking a step

    Micro Adventures start with you taking a step #Perform2018

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