At Dynatrace, we challenged ourselves to build a virtual team member to help operations teams run large-scale cloud infrastructures. Think J.A.R.V.I.S. from Iron Man, but for operations. We built our cloud infrastructure on Amazon EC2, Elastic Load Balancing load balancers, and Auto Scaling groups for real-time scalability, Amazon Route 53 for instant customer access, Amazon Echo and Alexa for voice interaction, AWS Lambda for fast prototyping of the human-interaction layer, and Amazon DynamoDB for handling complex conversations. In this session, we will also discuss how we extend the service by using Amazon Machine Learning and AWS IoT to more naturally integrate our virtual assistant into the real world. Session sponsored by Dynatrace. This session sponsored by Dynatrace. AWS Competency Partner

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Alois Reitbauer, David Kennedy
Dynatrace
November 30, 2016
Building the Future of DevOps
with Amazon Web Services
DEV304

2. Who we are and what we do

3. Understand how DevOps moves to VoiceOps
How to quickly prototype voice-driven applications
How Alexa Voice Services enable new interaction models

4. …While you are still trying to
understand and implement
ChatOps, don’t forget that
something even newer called
VoiceOps (powered by Alexa) is
already on the horizon...
Jeff Barr, AWS Blog

5. DAVIS: Build a digital assistant

6. Why we built D.A.V.I.S

7. Customer Service
2% Merchandising
3%
Operations
4%
Project
management
4%
Product
management
12%
Usability
12%
Marketing
12%
Business Analysis
20%
IT/development/infrastructure
24%
Other
7%
IN WHAT FUNCTIONAL AREA DO YOU FEEL YOU ARE UNDERSTAFFED THE
MOST?
Base: 64 eBusiness and
channel strategy professionals
(percentages do not total 100
because of rounding)
Source: Forrester’s Q4 2015
Global eBusiness And
Channel Strategy Professional
Online Survey

8. Not everybody is a
performance geek

9. But everybody knows how to ask
a question

10. VoiceOps and ChatOps – Why it makes sense
Integrate into “natural” environment
Avoid media breaks for interactions
Consolidated source of information
Tools of Trade – Slack, HipChat, Amazon Echo

11. Challenges for VoiceOps

12. Commands vs. Real Conversations
Proactive interactions – Actively drive a conversation
Knowledge-based conversations – Enable eye-level
interactions with the users
Guided problem solving – Provide value in a
conversation

13. Simple questions are complicated to answer
•Which data sources do I need?
•How can I access this data?
•How to write a proper query?
•Which assumptions do I want to test?
•What are actionable insights?
How is my
business doing?

14. Optimize Customer Experience
Modernize Operations
Accelerate Innovation
ChatOps
VoiceOps
D.A.V.I.S
Big Data & Analytics
Powered by AI
Full Stack
All-in-one platform
Platform for natural language-based DevOps

15. Rapid Prototyping with Alexa Skills Kit and
AWS Lambda

16. Define key interaction points

17. Start with the basic phrases

18. Use a generic intent loop

19. Extend using intent templates

20. Combine interactions using simple answers

21. Use Cases and Demo

22. The standup How are we
doing from an
operational
perspective?
Do I need to adjust
the priorities of the
team?
Anything
important for my
team?

23. The digital product meeting
CPO UXArchitectTeam
Lead
What should I
prioritize on the
roadmap?
Do the new
workflows improve
user behavior?
How should I
prioritize all the
open issues given
limited resources?
Will our
architecture
scale to user
demand?

24. The boardroom
Is our digital business
growing?
Are our digital
processes working
well for customers ?
Are we meeting
availability, technical
requirements, and
budget?
Are customers
adopting new
functionalities
as expected?

25. Get started today
Go to: www.dynatrace.com/meet-davis
Download D.A.V.I.S
Get free access to the Dynatrace AI
platform
Start using D.A.V.I.S
Extend with your own conversations

26. Thank you!

27. Remember to complete
your evaluations!

28. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Building the Future of DevOps
with Amazon Web Services
David Kennedy
@djameskennedy
Alois Reitbauer
@aloisreitbauer