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... a cultural movement of
intellectuals in 18th century
... [whose] purpose was to reform
society using reason (rather than
tradition, faith and revelation)
The Age of Enlightenment
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Enlightenment at
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A/B Testing
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Operational
Transparency
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Tool Hacking
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Cross-sectional Study
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Machine Learning
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Enlightenment at
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application of reason
over intuition, tradition and faith
Enlightenment at
... inhibited by legacy monolithic
system
... reinforced through inflexibile
models
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NoSQL
(and its
philosophy)
Micro-service
Architecture
This
talk
Enlightenment Enablement
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inhibits innovation
restricts variation
Monolithic
Architecture
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Model is Utility
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Grand Unified Model
Has to be general
Limits utility
Continually under tension
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Single Model in Tension: Energy
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Single Model in Tension: Energy
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Single Model in Tension: Energy
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Single Model in Tension: Energy
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Single Model in Tension: DB
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MS SQL
Server
Operational Store
Reporting
Data Warehousing
Network Analysis
Correlational Study
Realtime
Single Model in Tension: DB
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MS SQL
Server
Change is global
Releasing is complex
Add process to manage
complexity
Single Model in Tension: DB
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hard to avoid if difficult to
talk to anything else
Monolithic
Architecture
make decisions on
tradition and faith
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NoSQL
Micro-service
Architecture
Variation
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“the mechanics of genetic evolution provide
a clear and compelling picture of how a
system can capture and exploit implicit
insight without creating explicit knowledge...
... trial and error advances society’s
material interests without conscious
knowledge or planning.”
- Jim Manzi, Uncontrolled
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NoSQL
No
Variation in the system
Reject artificial constraint
Right tool for the job
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Time
Knowledge
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NoSQL is obvious
“The solutions are all simple -
after you have arrived at them.
But they’re only simple when
you know already what they
are.”
-Zen and the Art of Motorcycle Maintenance
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Micro-service
Architecture
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Keep problems local
Build complex system
from smaller parts
Small flows of data
between independent
processes
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Unix Systems
Transport Pipes HTTP
Representation Text Data
Process Composition
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Micro-service and NoSQL: Energy
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Tariff Editor
Comparison
Service
Energy
Website
Back Office
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Tariff Editor
Comparison
Service
Energy
Website
Back Office
MongoDB
MongoDB
Charon
SQL Server
MySQL
Energy
Region
CSV
Reconciliation
Profit & Loss
Southampton
Uni Research
MysQL
Redis
MySQL:RDS
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Tariff Editor
Comparison
Service
Energy
Website
Back Office
Car Insurance
Website
Credit Cards
Website
...
nginx proxy servers
Kaa
HDFS
Hive
Cascalog Visitor
Service
Neo4j
Cassandra
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Micro-service
Architecture
Platform for
continuous delivery/
strangulation
Bounded context guides system
decomposition
Keep problems local
Composition with narrow APIs and data
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NoSQL
Data stores become
implementation detail
Locality makes
decisions trivial
“Data stores find their place”
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NoSQL
Micro-service
Architecture
Variation
and
Selection
Composition
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Enlightenment at
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Enlightenment at
NoSQL: Rejection of “One True” Model
System composition important
Embrace variation and selection:
Monoliths and homogeneity considered
harmful. Micro-services make it safe.
Compose with data flows and narrow APIs
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Related Material
http://www.slideshare.net/jamesalewis/java-microservices
http://oobaloo.co.uk/
http://vimeo.com/45136211
http://skillsmatter.com/podcast/scala/reviving-
uswitchs-back-office-with-clojure