Teams building modern apps and microservices are using new techniques to ensure their quality as well as rapid deployment across build, test, and production cycles. This webinar will cover how you can contain post-deployment risk with rapid rollback of poorly performing releases within blue/green deployments by using AI based anomaly detection. This is the second webinar in a series presented by Pivotal and Dynatrace on modernizing your application portfolio to cloud-native. Other searchable webinar segments by title include: - Journey to Cloud-Native: Where to start in your app modernization process - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence - Journey to Cloud-Native: Making Sense of Your Service Interactions - Journey to Cloud-Native: Reducing Production Risks at Scale About the Speakers: Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems. Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.

1. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Journey To Cloud-Native:
Continuous Delivery with Artificial
Intelligence
Kamala Dasika Michael Villiger
@DasikaKN @MikeVilliger

2. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Iterative
D
evelopment
Cont
inuous Del
ivery
DEV OPS
Customer
Feedback
Customer
Delivery
An idea in the morning can ship by evening
Microservices
Release #1
Microservices
Release #2

3. © Copyright 2017 Pivotal Software, Inc. All rights reserved.

4. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Continuous Delivery Automation
Commit Code
Change
Automate
Build, Test,
Deploy
Store
Binaries &
Build
Artifacts
Deploy, UAT, Stage App
Zero
Downtime
Upgrade to
Production
Continuous
Delivery
Pipeline
Tool Chain
Gitlab Jenkins Artifactory
Concourse
(API Driven)
Separation
of Duties

5. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
r1.demo.io
r1.demo.io
Blue-Green deploys

6. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Use case
• 20-25K containers
• 50K+ users
• 100K+ routes
Undisrupted by
23+ platform deploys

7. Using Ar)ficial Intelligence to support
Con)nuous Delivery

8. ©2017 Dynatrace
Tradi)onal Feedback Loops

9. ©2017 Dynatrace
Dev Test / QA Ops Biz
Promo)onal Flow
Feedback Flow
TDD / Unit Perf
Cont. Perf
New Deploy
New Capability
CI CD Remove/Promote
Triage/Op=mize
Update Tests
Innovate/Design

10. Source: The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win.” – Gene Kim

11. ©2017 Dynatrace
Feedback Loops for CloudNa)ves

12. ©2017 Dynatrace
Challenge: Scaling DevOps in a Cloud Na)ve World
Service Team A
Service Team B
Service Team X
Improve “Performance Signature”
Continuous Performance, Shift-Left, Failure, Usage Feedback
Cloud Ops
Ensure “Operational Service”
Monitoring as a Service, Capacity Planning, Risk/Cost Control
PM/Biz
Improve“BusinessSignature”
Usage,Behavior,Costs,Innovate,A/BTesting,…

13. ©2017 Dynatrace
Turning Con)nuous Delivery into
Con)nuous Deployment
How? PlaKorm-wide measurement
with Ar)ficial Intelligence!!!

14. ©2017 Dynatrace
Tracking new deployments to exis;ng Applica;on / Route
• Dynatrace BOSH add-on
automa;cally picks up new
apps via runc injec;on
• Iden;fies new applica;on
added to route based on
applica;on name

15. ©2017 Dynatrace
Tracking anomalies with new applica;on – system focus
• Automated mul;-variant
analysis done against
baselines for system
metrics such as:
• CPU
• Memory
• GC

16. ©2017 Dynatrace
Tracking anomalies with new applica;on – system focus
• Automated mul;-
variant analysis
done against
baselines for system
metrics such as:
• Network
throughput
• Network
responsiveness

17. ©2017 Dynatrace
Tracking anomalies with new applica;on – user focus
• Automated mul;-variant
analysis done against
baselines for:
• User Ac;on Dura;on
• User Ac;on Rate
• Apdex Ra;ng
• JS Error Rate

18. ©2017 Dynatrace
Tracking anomalies with new applica;on – user focus
• Automated mul;-variant
analysis done against
baselines for:
• User Engagement
• Bounce Rate
• Conversion Rate

19. ©2017 Dynatrace
AI based anomaly detec;on
uncovers root cause

20. ©2017 Dynatrace
… and then executes remedia;on ac;on
• Interface with tools like ServiceNow
or PagerDuty
• And/or pipeline management tools
Concourse, Jenkins, Bamboo
• And/or with the plaXorm itself to
automa;cally rollback the change
(delete the app, remove from route,
etc)

21. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Continuous Delivery:
Why everyone should
do it
Continuous Delivery for
Microservices with
Concourse & Cloud
Foundry
Performance Metrics
Driven CI/CD in a Nutshell
DevOps: Hidden risks and
how to achieve results
Industry insights from
experts including Gene Kim
From Commit to
Production in 10
Minutes-Liberty Mutual
Top Lessons Learned
While Researching and
Writing the DevOps
Handbook
Resources

22. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Webinar: May 16 2017
Journey to Cloud-Native:
Making Sense of Your Service
Interactions
Download
Dynatrace Service
Broker for PCF

23. © Copyright 2017 Pivotal Software, Inc. All rights reserved.
Journey To Cloud-Native:
Continuous Delivery with Artificial
Intelligence
Kamala Dasika Michael Villiger
@DasikaKN @MikeVilliger