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INFRASTRUCTURE
AS CODE
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Watch the video with slide
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infrastructure-as-code-2016
Presented at QCon New York
www.qconnewyork.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
kief@thoughtworks.com
Cloud Practice Lead (UK)
DevOps, Continuous Delivery, Agile Ops
Twitter: @kief
Book: http://oreil.ly/1JKIBVe
Site: http://infrastructure-as-code.com
June 2016
AGENDA
CONTEXT
● Motivations
● Challenges
INFRASTRUCTURE AS CODE
● Key Practices
● Simple Pipeline
● Scaling Pipelines
SPEED
Get something to
market quickly
Iterate it
Continuously
improve it
TECHNOLOGY
Cloud,
automation, etc.
lowers barriers
for making
changes
DANGER
Security
Performance
Stability
Compliance
Maintainability
SECRET
High quality
services rely on
the ability to
make changes
quickly
GOAL
Be able to make
changes
Rapidly,
Frequently,
and Responsibly
CHALLENGES
SERVER SPRAWL
Creating new servers is the easy part
CONFIGURATION DRIFT
Servers start
out identical
But changes
accumulate
over time
AUTOMATION FEAR CYCLE
INFRASTRUCTURE
AS CODE
“Applying software engineering tools and practices to
infrastructure”
UNATTENDED AUTOMATION
Tools run on a
schedule to apply,
re-apply, and update
configuration
BENEFITS OF UNATTENDED:
● Discover problems quickly
● Force yourself to fix those
problems
● Force yourself to improve
your tools and processes
● Discourages “out of band”
changes
AUTOMATE SERVER UPDATES
Automation isn’t just for new servers!
Configuration
synchronization
Run Chef, Puppet, Ansible, etc. on a
schedule
Immutable servers Apply changes by rebuilding
servers
Containerized
servers
Apply changes by deploying new
container instances
RE-USE & PROMOTE DEFINITIONS
Re-use the same definition files across environments for
a given application or service
DEV STAGE PROD
Playbooks,
Cookbooks,
Manifests,
templates, etc.
TEST INFRASTRUCTURE CHANGES
Preventing DevOops
INFRA
TEST
DEV
TEST
PROD
PIPELINES
Using Continuous Delivery pipelines to manage
infrastructure
WHAT?
Terraform,
Puppet, etc.
Changes are
made and
committed to
VCS
Tools are run on
agents to apply
changes to
environments
Changes are only
promoted after
passing tests &
authorization
WHY?
Validates changes
to infrastructure
before applying
them to production
Confidence for
frequent, small
improvements to
infrastructure
Limit direct
changes to
infrastructure
TESTING
Correctness
Security policies
Performance
Stability
GOVERNANCE
The process for applying changes is auditable
Changes can be traced back to commits
Automation ensures processes are followed
Authorization can be required as needed
SIMPLE
An example with a fairly simple
environment
VPC
Subnet
10.0.0.0/16
Security Group
1.1.1.0/16 -> :443
DEFINING A SIMPLE ENVIRONMENT
ANSIBLE PLAYBOOK
Server configuration
TERRAFORM FILE
Environment structure
APPLICATION SOURCE
Deployable application
SIMPLE PIPELINE DESIGN
BUILD
STAGE
TEST
STAGE
QA STAGE
PROD
STAGE
Application Ansible Terraform
Deploy application, configuration, and infrastructure
SCALING
Handling more complex infrastructure
ALIGN INFRASTRUCTURE DESIGN TO
TEAMS
Ensure teams can
make the changes
they need easily
and safely
COMPLEX ENVIRONMENTS
Infrastructure involving multiple teams
FAN-IN PIPELINE
ServiceA
ServiceB
ServiceC
SYSTEM
TEST
QA PROD
BUILD
BUILD
BUILD
SERVICE
TEST
SERVICE
TEST
SERVICE
TEST
DECOUPLED PIPELINES
ServiceA
TESTBUILD
ServiceB
TESTBUILD
ServiceC
TESTBUILD
QA PROD
QA PROD
QA PROD
DEPENDENCIES
ServiceA
TESTBUILD
ServiceB
QA PROD
TESTBUILD QA PROD
Create test
instance of
provider
Implement
Consumer
Driven Contract
(CDC) Tests
Use mocks
and stubs
ISSUE: DUPLICATION
Multiple teams using similar systems, e.g. database clusters
RE-USE BY FORKING DEFINITIONS
Disadvantages:
- Divergence and
Inconsistency
Advantages:
- Avoid tight coupling
- Handles diverse requirements
RE-USE WITH DEFINITION LIBRARIES
Challenges:
- Avoid tight coupling, so teams
aren’t blocked when making
changes
- Ownership of code shared by
multiple teams
Guidance:
- Use separate pipelines for
each
- Use CDC & other dependency
testing strategies
LIBRARY PIPELINE
Server AMI
BUILD
Service
TEST
BUILD TEST
Test shared definitions before pulling them into dependent
pipelines
ISSUE: SHARED ELEMENTS
LOAD BALANCER
ServiceA
VIP
ServiceB
VIP
Shared
infrastructure
definitions
Service-specific
infrastructure
definitions
SHARING ELEMENTS
Avoid monoliths - optimize to simplify making changes
OUTCOMES ● Quickly provision and
evolve infrastructure
● Effortlessly roll out fixes
● Keep systems consistent
and up to date
● Spend time on high value
work
Book: http://oreil.ly/1JKIBVe
Site: http://infrastructure-as-code.com
Twitter: @kief
kief@thoughtworks.com
Cloud Practice Lead (UK)
DevOps, Continuous Delivery, Agile Ops
Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
infrastructure-as-code-2016

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Implementing Infrastructure as Code