AWS re:Invent 2016: Datapipe Open Source: Image Development Pipeline (ARC319)

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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

Technologie

© 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

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

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

How Much Do I Bake In?
Base AMI Fully Immutable

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

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?

• 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!

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

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

Installation
npm install -g generator-bakery

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