With Verizon’s global customer base, managing and constantly improving customer experience for over 5 million users can be challenging. They found themselves spending too much time searching for and remediating bugs in their code, which reduced the quality of their customer experience and left little time for innovation. That’s why they initially turned to Dynatrace and AWS — to help them streamline the process of finding and remediating issues. They quickly realized, though, that they could do a lot more than simply find bugs by leveraging both AWS and Dynatrace, which led them to a complete DevOps transformation. By leveraging AI-driven feedback provided by Dynatrace along with AWS services such as AWS CloudFormation, AWS CodeDeploy, and Amazon Route 53, Verizon completely revamped the speed and quality of their deliverables. Join our upcoming webinar to learn how Verizon is using Dynatrace on AWS to optimize their delivery pipeline

1. How Verizon Innovates
Through AI-Driven DevOps
with Dynatrace on AWS

2. Today’s Speakers
Kevin Cochran
Partner Solutions Architect
AWS
Andreas Grabner
DevOps Activist
Dynatrace
Anil Chintalapudi
Senior Technical Manager
Verizon Enterprise

3. DevOps on the AWS Cloud
Kevin Cochran, Partner SolutionsArchitect,AWS

4. Traditional Development Models are Obsolete
 Business is increasingly software-driven
 End-users expect both continuous improvement and stability
from applications
 IT needs to be able to provision infrastructure as rapidly
as developers demand it
 An organization’s pace of innovation is largely constrained
by their ability to develop applications

5. DevOps at a Glance
Developers Customers
releasetestbuild
plan monitor
Delivery Pipeline
Feedback loop
 DevOps = efficiencies and techniques that speed up this lifecycle
Very Important!

6. Increase
 Business agility
 Application stability
 Ability to meet customer demand
 Time spent on innovation
 Security
Decrease
 Length of development cycles
 Time to market
 Deployment failures
and rollbacks
 Time to recover upon failure
 Operational overhead
DevOps Can Help
DevOps practices enable companies to innovate at a higher velocity for customers

7. Infrastructure
as Code
Microservices Logging and
Monitoring
Continuous Integration/
Continuous Delivery
DevOps on AWS
AWS provides on-demand infrastructure resources and tooling built to enable
common DevOps practices

8. Infrastructure as Code
Replace traditional infrastructure provisioning and management with
ode-based techniques
 Build services around the business capabilities you require
 Scale up and down as required with virtually no notice
 Make configuration code changes repeatable
and standardized
 API-driven model enables management of infrastructure
with language typically used in application code
 Free developers from manually configuring operating
systems, system applications, and server software

9. Microservices
Build applications as a set of small services that communicates
with other services through APIs
 Build services around the business capabilities you require
 Scale up and down as required with virtually no notice
 Make configuration code changes repeatable and
standardized
 API-driven model enables management of infrastructure
with language typically used in application code
 Free developers from manually configuring operating
systems, system applications, and server software

10. Continuous Integration and Continuous Delivery
Rapidly and reliably build, test, and deploy your applications, while improving
quality and reducing time to market.
 Model and visualize your own custom release workflow
 Automate deployments of new code
 Improve developer productivity and deliver updates faster
 Find and address bugs quicker with more frequent
and comprehensive testing
 Store anything from source code to binaries using
existing Git tools

11. Logging and Monitoring
Capture, categorize, and analyze data and logs generated by applications
and infrastructure
 Model and visualize your own custom release workflow
 Automate deployments of new code
 Improve developer productivity and deliver updates faster
 Find and address bugs quicker with more frequent
and comprehensive testing
 Store anything from source code to binaries using
existing Git tools

12. Get started quickly
and pay as you go
Automate systems
operations
Scale without
infrastructure constraints
Improve visibility
and security
Leverage fully
managed services
Benefits of DevOps on AWS

13. Dynatrace
Andreas Grabner, DevOpsActivist, Dynatrace

14. Static Monitoring Doesn’t Work Any Longer
And isn’t just about analyzing logs & exceptions
and finding bad code through CPU Sampling

15. ShipDevelop
Scale
Deploy
Run
Because Apps And Services Delivery Has Transformed
Compute

16. Which Is Why Monitoring Has To Be Redefined!
Every user, every app, everywhere, AI-powered, full stack, automated

17. Dynatrace DevOps Transformation: 2011-2017
2
major/minor
release
2011
major releases/year
customers deploy &
operate on-prem
6months
26
Code -> Prod
sprint releases
(continuous-delivery)
2017
major releases/year 500
prod deployments /day self-
service online sales SaaS &
Managed
1h

18. Learnings: Monitoring as Pipeline Feature
CI CD
Unit Perf
Cont. Perf
New Deploy
New Capability
Remove/Promote
Triage/Optimize
Update Tests
Innovate/Design
Faster Innovation with Quality Gates
Faster Acting on Feedback
+
–
Happy
Users

19. Transformation Led To Key Monitoring Capabilities
 Full Stack with OneAgent
 100% End-to-End
 Log Analytics
 Part of DevOps Pipeline
 Artificial Intelligence
 VoiceOps, ChatOps, Automation APIs

20. Dynatrace Transformation by the Numbers
More Quality
More Agile 26
500
Releases / Year
Deployments / Day
93%
Production bugs found by Dev
More Stability
31000
Unit & Int Tests / hour
~120
Code commits / day
450
Global EC2 Instances
60h
UI Tests per Build
340
Stories per sprint
99.998%
Global Availability

21. Verizon Enterprise Solutions
Anil Chintalapudi, Senior Technical Manager, Verizon Enterprise Solutions

22. 200+ developers,
separated into siloed
workstreams
Monthly manual
release cycles
4-hour
deployments
28 fixed
servers
The Challenge: Siloed Teams and Long Revenue
Realization Times for ProQuest
This resulted in revenue realization time being 18 months.

23. What We Achieved
 3x faster build and test cycles
 50% faster deployment
(every two weeks, rather than once a month)
 33% faster revenue realization
 50% reduction in issues

24. Now Lets Talk About How We Got To That Point
DEVOPS
MONITORING

25. Why Did Verizon Choose AWS?
AUTO SCALING

26. Supporting
Enterprise and Cloud
Technologies
100% Capturing of
End User Experience
and Ability to Replay
Artificial Intelligence:
Predictive Analysis &
Remediation Actions
Integrated into DevOps
Pipeline: Enabling Shift
Left & Shift Right
4 Pillars On Why Verizon Chose Dynatrace

27. #1: Application, Cloud And Container Tech Support

28. #2: 100% End User Experience and Behavior

29. #2: 100% End User “Replay”

30. #3: Integrated into DevOps Pipeline
CI CD
Dev Perf/test Ops

31. #4: Artificial Intelligence – Verizon’s Own Approach

32. #4: Dynatrace Artificial Intelligence for the Cloud
Dynatrace
Artificial Intelligence

33. #4: Dynatrace AI: Alerting on Anomalies –
Not on the Noise in the Cloud

34. #4: Dynatrace AI: Impact and Root Cause Details

35. #4: VoiceOps, ChatOps and Proactive Dashboards

36. #4: Auto Healing – Auto Remediation




37. Advice for Cloud Transformation Projects
Automate Traditional Ops
towards NoOps
Monitoring is a Pipeline Capability
rather than after thought
Monitoring is Mandatory and
has to be fully automated
Artificial Intelligence to Reduce Noise with so many moving points

38. Q & A
For more information please visit: www.dynatrace.com
Start a free trial: http://bit.ly/dtsaastrial