SlideShare a Scribd company logo
Willie Wheeler (@williewheeler)
Principal Applications Engineer
Sahar Samiei (@saharsamiei)
Senior Technical Product Manager
Expedia’s Journey Toward Site Resilience
Copyright (c) 2017 Expedia, Inc. All rights reserved.
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Watch the video with slide
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expedia-website-resiliency
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
Presented at QCon San Francisco
www.qconsf.com
In 2016, Expedia was the
11th-largest Internet company
by revenue at $8.77B.
Source: https://en.wikipedia.org/wiki/List_of_largest_Internet_companies
`
Uptime Downtime Potential Revenue Loss
99% 3.65 days $87.7M
99.9% 8.76 hours $8.77M
99.99% 52.56 minutes $877K
The Price of Downtime:
A Back-of-the-Envelope Calculation
So keeping our site
up protects tens of
millions of dollars of
revenue per year.
OVERVIEW
Resilience Challenges Expedia’s Strategy
Technical Approach
Q & A
Results to Date
Resilience Challenges
Resilience is not
always treated
like a first-class
citizen.
In Expedia we
have a test-and-
learn culture.
Innovation at
Expedia is about
constantly
iterating its
products and
features.
Resilience is an uphill battle.
Too many competing
priorities.
There are major
misconceptions
about resilience.
Myth:
By migrating to AWS
your service will be
resilient.
Myth:
We can’t do
anything when S3
has an outage.
Myth:
Can’t build resilient
services on flaky
infrastructure.
Team Autonomy
Team autonomy is one of Expedia’s core
beliefs. It’s great to have latitude to
establish your own practices, tools and
processes but it could add complexity.
We are still learning.
Resilience is not
free.
Expedia Strategy
We put travelers at the heart of our thinking.
To organize ourselves to ensure maximum
availability of our websites – even during odd
conditions – we started an initiative called
“Perceived Zero Downtime”.
We make incremental
improvements.
We empower
teams by providing
tools & best
practices
We humbly listen
to different
approaches
We are not biased
We are open to
other teams’
suggestions
We embrace team autonomy.
We set up a forum to bring teams from different brands together to share ideas, tools and
best practices.
We create a
shared learning
space.
Introduce resilience
champions.
We invest lots of
time to gather and
present data.
Tier 1 dependency failure
Product with
a fallback
Product
without a
fallback
Pursue small wins by
going after low-hanging
fruit.
We are
partnering
with teams.
Technical Approach
Photo: Hans Splinter
Lots of teams.
Lots of tools.
How do we pull it all together?
Resilience Engineering Lifecycle
Service Service Service Service Service
Service Service Service Service Service
Database Database
3rd-party
service
3rd-party
service
Resilience Engineering Lifecycle
Service Service Service Service Service
Service Service Service Service Service
Database Database
3rd-party
service
3rd-party
service
1. Prioritize Services
Resilience Engineering Lifecycle
Service Service Service Service
Service Service Service Service
Database Database
3rd-party
service
3rd-party
service
1. Prioritize Services
2. Investigate Vulnerabilities
Service
Service
Resilience Engineering Lifecycle
Service
Database
3rd-party
service
1. Prioritize Services
2. Investigate Vulnerabilities
3. Apply Resilience Patterns
Service
Resilience Engineering Lifecycle
Service
Database
3rd-party
service
1. Prioritize Services
2. Investigate Vulnerabilities
3. Apply Resilience Patterns
Service
4. Experiments in Test
Resilience Engineering Lifecycle
Service
Database
3rd-party
service
1. Prioritize Services
2. Investigate Vulnerabilities
3. Apply Resilience Patterns
Service
4. Experiments in Test
5. Experiments in Production
Let’s take a closer look…
1. Prioritize Services
Service Tiering Scorecards & Reporting
1. Prioritize Services
Service Tiering
• Tier 1 – Essential
• Tier 2 – Important
• Tier 3 – Nice to have
1. Prioritize Services
Scorecards & Reporting
• Incidents
• Availability
• Resilience
1. Prioritize Services
Resilience Scorecard
Resilience Alerts
Your app failed a Chaos Monkey
experiment. Chaos Monkey
terminated an EC2 instance,
causing an outage.
To resolve this, please use EC2
Auto Scaling Groups.
Focus areas: identified.
What are the vulnerabilities?
2. Investigate Vulnerabilities
Resilience Maturity Model
(analytic)
Interactive Experiments
(empirical)
2. Investigate Vulnerabilities
Resilience Maturity Model
Survive instance loss
Survive dependency loss
Survive AZ loss
Survive region loss
And so forth…
2. Investigate Vulnerabilities
Interactive Experiments
• Interactive attack tools
• Discover vulnerabilities
Now we understand some vulnerabilities.
How do we address them?
3. Apply Resilience Patterns
Multi-Geo
Rate LimitingAuto-Scaling
Database Failover
Circuit Breakers
Bulkheads
An open source circuit breaker
implementation by Netflix:
• Start closed
• Trip (open) when downstream is
unhealthy
• Close when downstream is
healthy again
Defend your app with
Hystrix
UI
API
Database External API
• Isolate resources to avoid
unintended interactions
between apps
• Avoid "tragedy of the commons"
Defend your app with
Bulkheads
On our side, it is not a production
incident because no client started
to use this new platform.
Now we need to test our defenses.
4. Experiments in Test
build
deploy
to test
resilience
tests
perf
tests
security
scan
deploy
to prod
release
to prod
Record
test results
4. Experiments in Test
$ python test3.py
Baseline city count is 8.
Response during attack returned a city
count of 1.
Response after attack returned a city
count of 8.
********* Test success. *********
Pipeline tests are great.
But we do the real thing in prod.
5. Production-Based Experiments
Randomized Attacks Health Checks
5. Production-Based Experiments
Randomized Attacks
• Netflix Simian Army
• Self-service whitelist
(autonomous teams)
5. Production-Based Experiments
Health Checks
• Pre-, during and post-attack
• Pluggable checks
Recap
Service
TestDevelopment
Service Service
Production
Results to Date
Photo: Mycatkins
We've had a good start over the past year.
Chaos Monkey running daily
in production since May 15
ResultstoDate
Added resilience tests to
four Tier 1 service pipelines
Increased organizational
awareness
Established resilience
community of practice
Dev team engagement has
been a struggle:
• Limited team capacity
• Product > resilience
ResultstoDate
Pivot for 2018: Automation
Reduce the cost of resilience engineering through automation
Test by discovery VisibilityProxy-based resilience
Resilience has a cost!
Teams have multiple
competing prioritizes
There are major
misconceptions
Reduce friction
Prepare for early
effort
Whatdidwelearn?
Add complexity
incrementally
Try multiple technical
approaches
Make adoption easy
Drive for experiments
in production
Whatdidworkwell?
Represent metrics
Start with low-hanging
fruit
Questions & Answers
Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
expedia-website-resiliency

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