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Computational
Patterns of the
Cloud
QCon NYC 2014
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Watch the video with slide
synchronization on InfoQ.com!
http://www.infoq.com/presentations
/cloud-compute-patterns
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
Inés
SombraData Engineer
@Randommood
ines@engineyard.com
Continuous
Everything
Today’s Agenda
Distributed
Systems
Harvesting
Services
Reclaimable
Resources
Reclaimable Resources
Pattern 1: Where things start
Pre-Cloud Applications
We have an
application ready
for deployment
Ticket to
request
resources
( budgets )
Procurement
Roll to production 

on a hand-crafted
server
Maintenance
Uptime
Burden
Cloud Applications
We have an
application ready
for deployment
Provision servers on
demand (via APIs) & 

deploy to production
Maintenance ( for used
resources only)
Pay
Uptime
Burden
gordolo.engineyard.com
Pets vs Cattle
vm002.engineyard.com
Both
are
adorbs!
Maintain
Cloud resources are Reused
ConsumeProvision
Release
* And things are ”elastic”
Our experience + a few stories
Everything
fails.
* At the worst time, for realsies
Excel at Process
Anticipate failure
and plan for it
Use postmortems, checklists,
retrospectives, and play-books
Take them seriously
Also know that state can bite
Everything is a recipe
Infrastructure is maintained as code
Resources are used to increase the
availability & redundancy of applications
“A self service
cloud makes
impossible things
instant”
@adrianco
Challenges
Importance of 

Monitoring &
Benchmarking
Know your baseline *
Alerting & monitoring
are critical
Benchmarking is still
misunderstood
What does 

healthy mean?
Many elements in place to
determine health
These visualizations fail us.
We need better ones
Complexity is complex
What does 

healthy mean?
Many elements in place to
determine health
These visualizations fail us.
We need better ones
Complexity is complex
Instance
provisioned?
IaaS
Firewalls
set up?
IaaS
Chef
succeeded?
PaaSVolumes
provisioned?
IaaS
Process
running?
Role
Replica
up?
PaaS
Resource families
match use cases
Some awareness is needed
Cloud resources are
different than hardware-
based
Capacity planning is tricky
Think about cloud
resources in fluid
terms: compute &
release
compute with: the cloud as A collection of disposable resources
* Awareness is not optional
Harvesting Services
Pattern 2: We have resources, now let’s leverage services
App Design for the cloud
Surrender the filesystem1
Our app becomes an
aggregate of services
2
Consume services via APIs3
Service oriented architecture
NoSQL Distilled: Fowler & Sadalage
My awesome e-commerce site
Shopping cart &
session data
Completed
orders
Inventory and
item pricing
Session Storage
service
K/V Store
Order Persistence
service
Document Store
Inventory & Price
service
RDBMS
Nodes and
relations service
Graph Store
Recommendations
engine
Our experience + a few stories
Cloud
The monorail that grew
UI
Provisioning
API
Billing
Partners
Cloud
The monorail that grew
UI
Provisioning
API
Billing
Partners
ui.engineyard.com
Provisioner (Smithy)
API (Core)
Billing (Johnny Cash)
Partners (Tres Fiestas)
The coupling that shouldn’t be
Cloud
UI
Provisioning
API
Billing
Partners
The coupling that shouldn’t be
Provisioner (Smithy)
Cloud
UI
Provisioning
API
Billing
Partners
Challenges
Operational
experience
can become 

siloed
Teams built around
services
Knowledge boundaries
Geographical distribution
Service 

dependency
and failure
planning
Difficult to assert health in
apps that consume services
Each service it’s its own
(smaller) failure domain
Importance of
API design,

maintenance,
& deprecation
API design is a core
business competency
Prioritize maintenance
Retirement will happen
Think about your
app as a: collection
of services
connected via APIs
compute with: Cloud applications leveraging services
Distributed Systems
Pattern 3: Resources + services make distributed systems
as the new norm
It’s a clustered world
with properties & constraints
* Tip: Read `Distributed systems and the end of the API in references
Distributed systems exhibit a
set of uniformly unintuitive
behaviors related to causality,
consistency, and availability *
Our experience + a few stories
Availability & 

Coordination
Failures & latency
Degradation
Dependencies
Find the failing node
Stressing
Failures and
adding
automation
Serf cluster membershipHomegrown stonith
Challenges
What does it 

mean to be up?
Distributed systems will
break in interesting and
painful ways
Know your dependencies
Distributed
tracing is
necessary
Debugging the “it’s slow”
problem sucks
Inherently complex to
simulate & test
Awareness
of theory
Matters
@seancribbs
Distributed systems
are the foundation
of our infrastructure
& services
compute with: Cloud apps forming distributed systems
Continuous Everything
Pattern 4: cloud systems enable continuity
CD and the importance of tests
Are they fast?
Can we trust them?
What coverage
do we have?
What type of tests?
* Don’t ignore their maintenance
Tests 

are
critical
Our experience + a few stories
Our
continuous
Integration
Branches
Pull Requests
Test suites
Merge & deploy
Any prod
deploy
Kicks off a
suite
Our testing evolution
Master
PRs
Kick off a
suite
Dredd
Tests
Systems,
boundaries, &
integration
Stacks
OS + Our
Image
Scenario
Live setup +
assertions
Suite
Collection of
scenarios
Any prod
deploy
Kicks off a
suite
Our testing evolution
Master
PRs
Kick off a
suite
Dredd
Tests
Systems,
boundaries, &
integration
Stacks
OS + Our
Image
Scenario
Live setup +
assertions
Suite
Collection of
scenarios
Are Databas es?
Inst al l ing
Ba cki ng Up
Re stor ing
Setti ng Up
Re p li c ation
Pro m ot ing
Re p li c as
Wr ite a b le
Challenges
Many testing
choices. And a
random note.
Testing is critical and
frameworks should help by
streamlining choices
Automation helps with
process & certifications
(SOCS2)
All planning
tools suck
Stop thinking that a tool will fix
your agile problems
Continuous delivery can
make flaws in goals &
direction obvious. Is your
vision clear?
Cloud-based apps,
resources, and
services enable
agility
compute with: Cloud (resources, apps, services) as continuous
* “The bottleneck is never code or creativity; it's lack of clarity.”Scott Berkun
Quickly provision resources &
release them when they are
not needed
Reclaimable
Resources
Leverage services to simplify
areas of responsibility in our app
Harvesting
services
Theoretical foundation as a core
competency for correctness
Distributed
Systems
The holy grail. Will reshape your
company & make everything
awesome
Continuous
Delivery
tl;dr
this will save
you 40
minutes
Cloud computing next
“…This is how cloud computing will continue to
evolve. Developers will worry less about the
thousands of machines needed to run their
application and more about the design of the
application itself.” Eric Brewer
Thank you
@randommood 

ines@engineyard.com
github.com/Randommood/Qconnyc2014
Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/cloud-
compute-patterns

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