For an IT organization to be successful in rapid cloud assessment or iterative migration of their infrastructure and applications to AWS, they need to effectively plan and execute on a strategic cloud strategy that focuses not only on cloud, but also big data, DevOps, and security. Session sponsored by Datapipe. AWS Competency Partner

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Patrick McClory, VP Public Cloud
& Professional Services - Datapipe
Thursday, December 1st, 2016
Machines At The Scale Of…Machines
Datapipe Open Source:
Amazon Machine Image Builder Toolset

2. What to Expect from the Session
• Overview of Amazon Machine Image (AMI) application
• Deep-dive into hands-on learnings from working at scale
• Walkthrough of Bakery toolset
• Simple Demo (install to first build)
• Complex Scenario Walkthrough

3. Design Overview

4. Requirements Convergence
MANAGED
SERVICES
Consistency
Volume
Over Time
DEV OPS
Delivery Speed
Volume
in Service
PROGRAMMATIC
& SCALABLE
SOLUTION

5. How Much Do I Bake In?
Base AMI Fully Immutable

6. No-bake
• Flexibility achieved via library
of user data and configuration
management scripts
• ‘Pay-per-install’
 Bandwidth & time
• ‘Pretty consistent deploys
over time’
 Package versions, etc.
• Always the latest version
Comparing Approaches – Per Instance Launch:
Fully-baked
• Flexibility achieved via a library
of AMI’s.
• Pay for engineering & storage
 Pre-work, EBS Snapshots
• Absolutely consistent deploys
time after time
• Always the version you built

7. How Much Do I Bake In?

8. Patterns and Mechanics

9. BASE
AMI
OS
CONFIGURATION
APPLICATION
INSTALLATION
TESTING/
VALIDATION
IMAGE
CAPTURE
Packer
Provided
by AWS
Configuration
Management
Testing
What does it take to build an image?

10. Bakery Walkthrough

11. • Our toolset intends to solving a problem
in a specific context.
• We very much want to get feedback and involvement
from the community, but want to be straightforward:
 Pull Requests for technical issues are VERY welcome
 Feedback on the design via Pull Requests to the design
documentation is welcome and we want to engage
in a conversation from there.
Feedback is Welcome!

13. Aligning to CI/CD Pipeline
SOURCE
CONTROL
CONTINUOUS
INTEGRATION
TEST/QA
CONTINUOUS
DELIVERY
RUNTIME
OPERATIONS

14. Bakery Workflow
Start
Ready
to go
NAMING AND
DESCRIPTIVE
DETAILS
CONFIGURATION
MANAGEMENT
CI TOOLING CHOICE
AWS TARGET(S)
CONFIGURATION(S)
INITIALIZE REPO
LOCALLY

15. YO Bakery!

16. YO Bakery – Project Setup

17. YO Bakery – Configuration Management

18. YO Bakery – Continuous Intergration

19. YO Bakery – AWS Setup

20. YO Bakery – Region Selection

21. Simple Walkthrough

22. Installation
npm install -g generator-bakery

23. Complex Usecase

24. Roadmap & Collaboration

25. Thank you!

26. Remember to complete
your evaluations!