With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles: Streaming customer feedback directly into rapid, iterative cycles of application development Horizontally scaling applications to meet user demand Compatibility with an enormous diversity of clients, with mobility (smartphones, tablets, etc.) taking the lead Continuous delivery of value, shrinking the cycle time from concept to cash Infrastructure has taken the lead in adapting to meet these needs with the move to the cloud, and Platform as a Service (PaaS) has raised the level of abstraction to a focus on an ecosystem of applications and services. However, most applications are still developed as if we're living in the previous generation of both business and infrastructure: the monolithic application. Microservices - small, loosely coupled applications that follow the Unix philosophy of "doing one thing well" - represent the application development side of enabling rapid, iterative development, horizontal scale, polyglot clients, and continuous delivery. They also enable us to scale application development and eliminate long term commitments to a single technology stack. While microservices are simple, they are certainly not easy. It's recently been said that "microservices are not a free lunch". Interestingly enough, if you look at the concerns expressed here about microservices, you'll find that they are exactly the challenges that a PaaS is intended to address. So while microservices do not necessarily imply cloud (and vice versa), there is in fact a symbiotic relationship between the two, with each approach somehow compensating for the limitations of the other, much like the practices of eXtreme Programming.

1. © Copyright 2014 Pivotal. All rights reserved.© Copyright 2014 Pivotal. All rights reserved.
Cloud Foundry and Microservices
A Mutualistic Symbiotic Relationship
1
Matt Stine
Cloud Foundry Platform Engineer
CF Summit 2014

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“Software Keeps Eating the World”

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Software Keeps Changing Industries
$3.5B valuation
Financial Services
$3.5B valuation
Travel & Hospitality
$3.5B valuation
Transportation
$3.2B Acquisition by Google
Home Automation
$20B valuation
Entertainment
$26B valuation
Tesla--Automotive
$19.5B

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Warner Music: Software Factories
Warner Software Factory Platform
• New applications and major updates
- Before: 6 months, team of 10 developers
- After: 6 weeks, same team
- Speed/Agility: 400% faster on new platform
- HR Hard Savings: $1.1M per application update
delivered

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Iterative Development
Design
Develop
Test
Customer
Feedback
Customer
Delivery
Analytics

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Horizontal Scale
6
Slow/Expensive Fast/Cheap

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Diversity of Clients
7
http://money.cnn.com/2014/02/28/technology/mobile/mobile-apps-internet/
In January 2014, mobile devices accounted for 55% of Internet usage in the United
States. Apps made up 47% of Internet traffic and 8% of traffic came from mobile
browsers.

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Continuous Delivery

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Software Factories
Feedback Rapid Iteration
Horizontal Scale
Diversity of Clients
Continuous Delivery
Infrastructure
Applications
Monoliths
Microservices
Physical/Virtual Cloud Foundry

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New Architectural Constraints
• CF optimizes for 12 Factor Linux applications
• Microservices: a radical departure from traditional monolithic
applications
• In both cases, the enterprise is
forced to “think different.”

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How XP Practices Support Each Other
11
http://www.kusmin.eu/wiki/index.php/How_XP_Practices_Support_Each_Other

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A Mutualistic Symbiotic Relationship…
12
Cloud Foundry
Microservices
http://en.wikipedia.org/wiki/Symbiosis#Mutualism

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Microservices
Overview
13

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Simple vs. Easy
• Simple
• sim- plex
• one fold/braid
• vs complex
• Easy
• ease < aise < adjacens
• lie near
• vs hard

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Monolithic Architecture
15
Relational Database
Data Access
Service
HTML JavaScript MVC
Service
Monolithic ApplicationBrowser

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Monolithic Architectures
• Complex / Easy
• Modularity Dependent Upon Language / Frameworks
• Change Cycles Tightly Coupled / Obstacle to Frequent Deploys
• Inefficient Scaling
• Can Be Intimidating to New Developers
• Obstacle to Scaling Development
• Requires Long-Term Commitment to Technical Stack

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Microservice Architecture
17
…
HTTP
HTTP
HTTP
HTTP
HTTP
HTTP
AMQP
AMQP
Relational
DB
Key/Value
Store
Graph
DB

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Microservice Architectures
• Simple / Hard
• Modularity Based on Component Services
• Change Cycles Decoupled / Enable Frequent Deploys
• Efficient Scaling
• Individual Components Less Intimidating to New Developers
• Enables Scaling of Development
• Eliminates Long-Term Commitment to Technical Stack

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Conway’s Law
19
Any organization that designs a system (defined broadly) will produce a design
whose structure is a copy of the organization's communication structure.
Melvyn Conway, 1967
http://martinfowler.com/articles/microservices.html#OrganizedAroundBusinessCapabilities

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Organize Around Business Capabilities
20
Data Access
Service
HTML JavaScript MVC
Service
UISpecialists
Middleware
Specialists
DBAs
BusinessCapability
BusinessCapability
BusinessCapability
Siloed
Functional
Teams
http://martinfowler.com/articles/microservices.html#OrganizedAroundBusinessCapabilities
Siloed
Application
Architectures
Cross-
functional
Teams
Microservice
Architectures

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Partitioning Strategies
• By Noun (e.g. product info service)
• By Verb (e.g. shipping service)
• Single Responsibility Principle
(http://programmer.97things.oreilly.com/wiki/index.php/
The_Single_Responsibility_Principle)

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UNIX Pipes and Filters
cut -d" " -f1 < access.log | sort | uniq -c | sort -rn | less

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Choreography over Orchestration
23
https://www.flickr.com/photos/gabrielsaldana/5896491978
https://www.flickr.com/photos/chrisbrenschmidt/2223763842
http://martinfowler.com/articles/microservices.html#SmartEndpointsAndDumbPipes

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Overview
http://12factor.net

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Twelve Factor + Cloud Foundry
• One codebase tracked in revision control, many deploys
• Multiple = Distributed System
• Consistent with CF application unit
• Explicitly declare and isolate dependencies
• CF emphasis on deployable units (e.g. Java WAR)
• CF Buildpacks provide runtime dependencies

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Twelve Factor + Cloud Foundry
• Store config in the environment
• Nicely facilitated via CF
• Treat backing services as attached resources
• cf create-service / cf bind-service
• Strictly separate build and run stages
• CF Buildpacks + immutable Warden containers

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Twelve Factor + Cloud Foundry
• Execute the app as one or more stateless processes
• CF Warden containers - no clustered memory, no shared FS.
• Challenge for the monolith!
• Export services via port binding
• CF provides HTTP/HTTPS today, more future (TCP?)
• Scale out via the process model
• cf scale app -i 1000

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Twelve Factor + Cloud Foundry
• Maximize robustness with fast startup and graceful shutdown
• CF scales quickly, but can only move as fast as your app
can bootstrap (challenge for the monolith!)
• Keep development, staging, and production as similar as
possible
• CF is CF! Spaces provide separation of concerns without
technical differences.

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Twelve Factor + Cloud Foundry
• Treat logs as event streams
• CF Loggregator!
• Run admin/management tasks as one-off processes
• Still a challenge to be addressed…

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Twelve Factor + Microservices
• Fully compatible architectural style
• Frameworks tend to optimize around same ideas
• Examples:
• Spring Boot + Cloud
• http://projects.spring.io/spring-boot
• http://projects.spring.io/spring-cloud
• Dropwizard (https://dropwizard.github.io/dropwizard)

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http://highscalability.com/blog/2014/4/8/microservices-not-a-free-lunch.html

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Paying for your lunch…
• Significant Operations Overhead
• Substantial DevOps Skills Required
• Implicit Interfaces
• Duplication of Effort
• Distributed System Complexity
• Asynchronicity is Difficult!
• Testability Challenges

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Paying for your lunch…
• Significant Operations Overhead
• Substantial DevOps Skills Required
• Implicit Interfaces
• Duplication of Effort
• Distributed System Complexity
• Asynchronicity is Difficult!
• Testability Challenges

34. © Copyright 2014 Pivotal. All rights reserved. 34
Significant Operations Overhead
• Mitigate polyglot language/environment provisioning complexity via CF Buildpacks
• Mitigate failover and resilience concerns via CF Scale, CF Health Monitor, and future CF
App AZ’s (http://blog.gopivotal.com/cloud-foundry-pivotal/products/the-four-levels-of-
ha-in-pivotal-cf)
• Mitigate routing/load balancing and plumbing concerns via CF Router and CF Services
• High quality monitoring = CF BP agent-based tooling, future CF metric streams
• High quality operations infrastructure = CF BOSH!
• Robust release/deployment automation = CF API, scriptable CF CLI, Maven/Gradle
Plugins, Strong Cloudbees/Jenkins partnerships

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Currently, there is not much in terms of frameworks and open source tooling to
support this from an operational perspective. It's likely therefore that a team rolling out
Microservices will need to make significant investment in custom scripting or
development to manage these processes before they write a line of code that delivers
business value.
!
Operations is the most obvious and commonly held objection towards the model,
though it is too easily brushed aside by proponents of this architecture.
http://highscalability.com/blog/2014/4/8/microservices-not-a-free-lunch.html

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No Open Source Tooling?
37

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Substantial DevOps Skills Required
• This is a Good Thing™ in any architecture!
• CF keeps your microservices up and available (and your
monoliths too!)
• CF = development and production parity!
• Polyglot persistence without all the fuss: CF BOSH and
Service Brokers

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Distributed System Complexity
• Agreed: Microservices imply distributed systems.
• All of the CF platform features we’ve discussed help to
mitigate these concerns:
• latent/unreliable networks
• fault tolerance
• load variability

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Testability Challenges
• With CF, it is NOT difficult to recreate environments in a
consistent way for either manual or automated testing!
• Idiomatic Microservices involves placing less emphasis on
testing and more on monitoring
• Not sure where this idea comes from…
• CF is an enabler of both!

41. © Copyright 2014 Pivotal. All rights reserved.
A Mutualistic Symbiotic Relationship
41
Cloud Foundry
Microservices
http://en.wikipedia.org/wiki/Symbiosis#Mutualism

42. A NEW PLATFORM FOR A NEW ERA