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Microservices 101:
From DevOps to Docker and beyond
Donnie Berkholz, Ph.D.

Research Director — Development, DevOps, & IT Ops
MSP Computer Measurement Group, Feb 2016
2
microservices
3
Source: 451 Research custom surveys
Minimizing risk, maximizing agility
The need 

for speed
4
Source: 451 DevOps study, Q3 2014; n=237
63% want more
Technology
adoption
is increasingly
bottom-up
5
Wikipedia: G.dallorto
6
Source: 451/Microsoft Hosting + Cloud Study 2015
The new stack?
7
An infinite array of possible stacks.
DevOps:

Putting IT into high gear
8
9
Agile, truly tip to tail
Business to customer
3 pillars of DevOps
10
Culture
Automation
Measurement
11
Culture:
Tear down all the silos
Flickr: kalandrakas
12
Flickr: respres
Flickr: hartvig, snapeverything, roymaloon
Automation:
Pets vs Cattle
Automation: Infrastructure as code
13
Wikipedia: Magnus Manske
Knight Capital and the $460 million bug
14
Wikipedia: Jericho
Continuous delivery
15
Source: continuousautomation.com
16
Source: Don Reinertsen, The Principles of Product Development Flow
Where are we today?
17
10.0%
54.7%
27.9%
6.8%
0.7%
Highly Manual
Manual with Limited Automation Tools
Automated with Manual Exception Handling
Policy Based Automation and Orchestration
Other
n = 843
Source: 451 VotE Cloud, Q3 2015
Measurement: #monitoringsucks/monitoringlove
18
Who is doing DevOps?
Google, Amazon, Netflix, Etsy, Spotify, Twitter, Facebook …
CSC, IBM, CA, SAP, HP, Microsoft, Red Hat …
GE Capital, Nationwide, BNP Paribas, BNY Mellon, 

World Bank, Paychex, Intuit …
The Gap, Nordstrom, Macy’s, Williams-Sonoma, Target …
General Motors, Northrop Grumman, LEGO, Bosche …
UK Government, US Department of Homeland Security …
Kansas State University…
Who else?
Source: Gene Kim
19
Source: Puppet Labs 2014 State Of DevOps
Can Large Orgs Be High Performers?
Yes.



But orgs with 10,000+
employees 40% less likely
to be high performing vs.
500 employee orgs…
20
Enter containers:
The future of virtualization
Automation, agility, empathy
22
Container-native OSs
23
Snappy Ubuntu
Developers love Docker
24
Docker is not just a toy
25
ProdinQ32015:

22.5%
}
Source: 451 VotE Cloud, 2015; Q1 n=991; Q3 n=960
31.5%
10.2%
8.4%
9.4%
4.7%
35.8%
56.1%
10.7%
3.9%
4.2%
2.1%
22.9%
Discovery and Evaluation
Running Trials/Pilot Projects
In Test and Development Environment
Initial Implementation of Production Applications
Broad Implementation of Production Applications
No Plans
Q3 2015 Q1 2015
of cloud-using orgs
Today, early adopters. Tomorrow, the majority.
26
12.0%
41.4%
37.1%
9.5%
We are early adopters on the leading edge
We are pragmatic about new technology, but
will act sooner rather than later
We are conservative about new technology
and take a wait and see approach
We are skeptical and are usually late to the
game
Source: 451 VotE Cloud, Q3 2015; n=935
Fragmentation 

drives microservices —

enabled by containers
27
28
Loosely coupled services
ā€œ The only
communication allowed
[at Amazon] is via
service interface calls
over the network.ā€

 – Steve Yegge, Google, Oct 2011,
paraphrasing Jeff Bezos memo

https://plus.google.com/+RipRowan/posts/eVeouesvaVX
Loosely coupled teams
ā€œ One of the biggest changes is that we no longer have
an official ā€˜architecture’ team. Instead, we have made
ā€˜architecture’ an ā€˜ingredient’ on each of our teams.ā€

29
http://tech.gilt.com/post/102628539834/making-architecture-work-in-microservice
– Lauri Apple, Gilt Groupe, 14 Nov 2014
The foundation of microservices
30
Monitoring remains a challenge
•  Scale
•  Complexity & flow
•  Transience
•  Bottlenecks / queue depth
•  How to respond to self-healing issues?
31
Open-source tools emerging (proprietary too)
32
spigo / simianviz
 Zipkin
Real-world examples
33
Real-world example #1
34
http://www.slideshare.net/nathariel/scaling-microservices-architecture-on-aws
Hailo architecture
35
Hailo architecture
36
Hailo architecture
37
38
ā€œ Our infrastructure is decomposed into a large number
of very simple pieces of software – each of which is
independently deployed and monitored, and can be
easily reasoned about.ā€

 – Matt Heath, Hailo, 9 Mar 2015

https://sudo.hailoapp.com/services/2015/03/09/journey-into-a-microservice-world-part-3/
Complexity is the new normal
39
Real-world example #2: REA (realestate.com.au)
40
http://techblog.realestate.com.au/a-microservices-implementation-retrospective/
REA microservices timeline
41
0
20
40
60
0
 6
 12
 18
 24
Microservices
Months
http://yowconference.com.au/slides/yow2014/SkurrieBottcherEvans-MonolithsToMicroservices.pdf
ā€œ Microservices is a
long term strategy.ā€

 – Evan Bottcher,
ThoughtWorks/REA,

9 Dec 2014
42
ā€œ We relied on [our open-source library] Pacts, some
manual tests, and then made sure there was very good
monitoring in production.ā€

 – Beth Skurrie, REA consultant, 10 Nov 2014

http://techblog.realestate.com.au/a-microservices-implementation-retrospective/
Real-world example #3:
Ctrip (Chinese travel site)
43
http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
Real-world example #3:
Ctrip (Chinese travel site)
44
http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
Real-world example #3:
Ctrip (Chinese travel site)
45
http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
Real-world example #3:
Ctrip (Chinese travel site)
46
http://www.slideshare.net/yang75108/micro-service-architecture-c-trip-v11
Minimizing risk, maximizing agility
Architecture: Microservices, composable monitoring
Code: Continuous integration, feature flags
Servers: Continuous delivery, infrastructure as code
Services: Rolling updates, resilience engineering
Product: Continuous deployment, restricted audience

47
How? DevOps (Culture, Automation, Measurement)

What? Microservices

Why? Survival
48
49
Thank you!



Donnie Berkholz

Twitter: @dberkholz

donnie.berkholz@451research.com
Some content from this presentation 

is Creative-Commons licensed.

https://creativecommons.org/licenses/by-sa/

https://creativecommons.org/licenses/by/
50

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