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Automating the Enterprise DevOps Cloud Pipeline – An AI Path from DevOps to NoOps

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Brian Chandler, Performance Advocate, Dynatrace

Nearly every organization on the planet is quickly attempting the impossible: we are all gradually shifting to become software companies! Speed is imperative, and the cloud, containers, and microservices help for faster development and deployment.

This brings an exponential increase in complexity and a need to gain visibility and performance intelligence into the entire ecosystem. 3rd Gen AI-powered monitoring moves companies to more autonomous platforms driven by software intel to make that happen.

Join us to learn how this intel integrates and synchronizes your cloud tool chain, and how you can glean rich, AI-powered data for shift-left strategies and self-healing / automation processes, that reduce mean-time-repair and lower business risk.

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Automating the Enterprise DevOps Cloud Pipeline – An AI Path from DevOps to NoOps

  1. 1. Automating the Enterprise DevOps Cloud Brian Chandler • Now: • Performance Engineer – Dynatrace • Formerly: • Performance Engineer – Volkswagen Group of America • Systems Engineer – Raymond James Financial
  2. 2. Software Intelligence for the Enterprise Cloud 1600 Employees 5000 Enterprise Customers 72 of the Fortune 100
  3. 3. Technology leader YoY Growth of the New All-In-One Platform 8x Gartner Magic Quadrant Leader 8 Years in a Row Market Share (Gartner, IDC) #1 750% 26 Major Releases per Year Gartner, Inc., Magic Quadrant for Application Performance Monitoring Suites, Will Cappelli, Federico De Silva, Sanjit Ganguli, March 2018 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
  4. 4. confidential Our Own Story – Culture Change, Speed, Agility, Innovation releases per year production bugs reported by customers cloud instances daily deployments
  5. 5. Outages cost / per hour $5,600 per minute x 60 minutes per hour ____________________________________________ Source: Gartner “Three Moves for CIO‘s to Lower Business Costs with Cloud“ – March 2017
  6. 6. The Traditional incident management approach – ”Smart person correlation” 8 Random alerts or dashboard turns “red” Conference Bridge/Crisis Center call with lots of “Smart person Correlation” Application recovers.
  7. 7. And what are these incidents typically caused by? 9
  8. 8. Accelerate enterprise DevOps cloud – 4 key areas Hybrid, multi-channel cloud: enable innovation with break, shift, re-platform; assure and realize full Cloud advantage DevOps Collaboration: shift-left Dev with early, automated, quality feedback loops, only good code to prod Shift Right: AI-contextual data speeds MTTR, automates self- healing, lowers risk improves UX Web-scale & production grade: transform traditional NOC to AI-powered, automated zero-dashboard NOC
  9. 9. Accelerate enterprise DevOps cloud – 4 key areas Hybrid, multi-channel cloud: enable innovation with break, shift, re-platform; assure and realize full Cloud advantage DevOps Collaboration: shift-left Dev with early, automated, quality feedback loops, only good code to prod Shift Right: AI-contextual data speeds MTTR, automates self- healing, lowers risk improves UX Web-scale & production grade: transform traditional NOC to AI-powered, automated zero-dashboard NOC
  10. 10. 1 2 4 53 Production Staging Approve Staging Production Approve Production CI CD CI CD CI CD CI CD Pushes deployment into Dynatrace entities Compares builds and approves / rejects pipeline Pushes deployment info into Dynatrace entities Validates production and approves / rejects pipeline Executes auto-remediating actions e.g. roll-back Simplify DevOps complexity – automated full stack performance monitoring – see it to believe it – Dynatrace.com/trial/ Build #17 Build #18
  11. 11. Shifting-left: continuous performance testing enhanced • Dynatrace fully integrated with Jenkins • Self-Service performance feedback for every build • Break pipelines in case of performance degrations Sumit Nagal, Intuit DevOps Collaboration: shift-left Dev with early, automated, quality feedback loops
  12. 12. Continuous Performance- as-a-Self-Service : Automating familiar tools in the software delivery pipeline • More automation, less human intervention, use familiar DevOps tooling (no need to learn new tools) • Developers work independently - no need for performance engineers, communication and coordination. • Creates a “marketplace” of a capability; easy, appealing, optimized, on-demand, scales productivity across teams.Mark Tomlinson, PayPal DevOps Collaboration: shift-left Dev with early, automated, quality feedback loops
  13. 13. Accelerate enterprise DevOps cloud – 4 key areas Hybrid, multi-channel cloud: enable innovation with break, shift, re-platform; assure and realize full Cloud advantage DevOps Collaboration: shift-left Dev with early, automated, quality feedback loops, only good code to prod Shift Right: AI-contextual data speeds MTTR, automates self- healing, lowers risk improves UX Web-scale & production grade: transform traditional NOC to AI-powered, automated zero-dashboard NOC
  14. 14. Having a NOC with lots of graphs doesn’t cut it anymore! It’s the way of the dinosaurs!
  15. 15. Traditional approaches do not scale with the new world…. #savethetvs #saveourretinas
  16. 16. ChatOps Erik Landsness, Beachbody Problem Evolution Web-scale & production grade: transform traditional NOC to AI-powered, automated zero-dashboard SRE teams
  17. 17. Web-scale & production grade Path to NoOps with smart auto- remediation
  18. 18. 2 Self-healing Automation1 User Impact Problem Evolution Auto Mitigate! 1 CPU Exhausted? Add a new service instance to distribute load! 3 Caused by Canary Release? Redirect Traffic to Main Canary! Escalate at 2 am? 2 Exhausted Connection Pool? Increase Pool Size! Escalate? Still ongoing? 1 2 Update TeamsImpact Mitigated?? Inform #WebTeam about JavaScript Issue on IE Push Status Update to inform our customers Inform Support about potential incoming user complaints! ? . . .
  19. 19. 20 ENGAGE 20 TRIAGE 45 FIND & ASSEMBLE 30 RESOLVE 35 RESTORE 120 SLAMANUAL COMMUNICATION MANUAL COMMUNICATION Before After 35 RESTORE10 RESOLVE555 120 SLA NUMBER OF CALLS NUMBER OF CALLS BEFORE: without xMatters & Dynatrace AFTER: with xMatters and & Dynatrace • Reduce Triage - AI-detected fast root cause analysis • Reduce resolution – indepth PurePath & SmartScape data • Reduce number of incidents - AI-correlation of events into single problem versus multiple alerts 40% Faster 90% Faster 90% > Calls
  20. 20. Dynatrace AI detects availability issue On-Call Team View Dev Team can fix problem immediately Notify xMatters 1-click to Root Cause Issue Resolved 1 2 3 4 Install Dynatrace OneAgent for full stack visibility (including logs, dependencies, containers) – all with zero configuration. Dynatrace notifies xMatters who engages the right people depending on the type of problem, severity and impact. The team on-call looks at detailed root cause information in Dynatrace, fixes the problem fast, and everything goes back to green.
  21. 21. Dynatrace AI provides all relevant events (e.g. logs, crashes, metrics) for a problem in a single view. Automated root cause analysis provides better data for xMatters, reducing business and ops risk through faster MTTR.
  22. 22. A Single Agent – Full Stack Coverage
  23. 23. Built from the ground up for hybrid, multi-cloud and dynamic microservices
  24. 24. confidential Q & A
  25. 25. Join us at our biggest user conference in January 28 – 20, 2019 https://www.dynatrace.com/perform-vegas/
  26. 26. confidential www.dynatrace.com

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