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Kfir Bloch
The Art of
Decomposing Monoliths
Head of Backend Engineering @ Wix
@kfirondev
To microservice or not to microservice
http://kfiron.com
Kfir Bloch
Your pic here
• Head of backend engineering @ Wix
• ~17 years experience as hands-on developer
• Joined Wix ~6.5 years ago
linkedin/in/blochkfir github.com/kfiron@kfirondevkfirb@wix.com http://kfiron.com
Wix in Numbers
Over
~100M users
(website builders)
Static storage is
>2PB of Data
3 data centers +
3 clouds
(Google, Amazon, Azure)
2B HTTP
requests/day
~1,200 people
work at Wix
@kfirondev
Wix R&D
● Scala
● React
● React Native
~400 engineers in 4 locations (Tel Aviv, Dnipropetrovsk, Vilnius & Kiev )
● TDD
● Continuous delivery
@kfirondev
Wix and Microservices
In the past 3 years we migrated to a Microservices architecture. It helps us:
• Scale our software
• Scale our people
• Meet product and marketing life cycle
• Embrace ownership and maintain a “startup-ish” culture
~250
different services
@kfirondev
@kfirondev
Microservices is the
new black
@kfirondev
In computing, microservices is a software architecture style in which complex
applications are composed of small, independent processes communicating
with each other using language-agnostic APIs.
These services are small, highly decoupled and focus on doing a small task,
facilitating a modular approach to system-building.
@kfirondev
Microservices characteristics
Protocol
Circuit
Breaker
SOA
Service
Discovery
Cascading
Failure
Replaceable
Units
Service
Graph
Scalable
Units
Documentation
www.maplecityrubber.com@kfirondev
But I will talk about:
When (and when NOT) to decompose
your monolith
@kfirondev
Why do you think it is important to
know when to decompose?
@kfirondev
Sometimes less is more
Microservices have trade-offs
@kfirondev
Each I/O hop
is a failure point
Partial deployment
Strong interfaces between
services are harder to refactor
Ops complexity
End-to-end testing
is challenging
@kfirondev
Mitigations
● I/O hops are failure points
○ Proper HTTP configurations (timeouts, async, etc.)
○ Retry mechanism
○ Idempotent API
○ Circuit breakers
○ Monitoring
○ Eventual consistency when needed
@kfirondev
Mitigations
● Partial deployment
○ Feature toggle mechanism
@kfirondev
Mitigations
● Ops complexity
○ Automation
○ Developers own the Ops
@kfirondev
Mitigations
● Strong interface – hard to refactor
○ Backward / forward compatibility
○ Strong build system - dependency
○ Proper contact tests
@kfirondev
There is no way to
avoid the additional risk
Another service == Another failure point
@kfirondev
Once we accept our limits, we go beyond them.
- Albert Einstein
@kfirondev
To microservice
or not to microservice?
@kfirondev
Decompose to gain resource
isolation for high availability
01
File Upload
Client
Web File
Storage
Items (CRUD) Items
DB
Items Catalog
Service
Network
problem
@kfirondev
Server
threads are
busy on I/O
Server cannot
accept any
more requests
Client cannot
perform critical
missions like
deleting an item
Different APIs have different SLAs
● Some are near real time & some are not
● Some are eventually consistent
● Some are not critical and can fail
● Some should respond within X ms
@kfirondev
Decompose to avoid competition
on shared resources
@kfirondev
File Upload
Client
Web File
Storage
Items (CRUD) Items
DB
Items Catalog
Service
@kfirondev
File Upload
Client
Web File
Storage
Items (CRUD) Items
DB
Items Service
Files Service
@kfirondev
Decompose by
different life cycles
02
4 PM Deploy – Items catalog feature
BI
Storage
Items (CRUD) Items
DB
Items Catalog
Service
Coupons
@kfirondev
5 PM Deploy – Coupon feature
6 PM Deploy – Coupon feature
9 PM Deploy – Coupon feature
12 AM Rollback – Due to bug in items catalog
THE COMPANY LOSES MONEY
Items (CRUD) Items
DB
Items Catalog
Service
Coupons
@kfirondev
B1
Storage
B1
Storage
Items (CRUD) Items
DB
Coupons
Service
Items Catalog
Service
@kfirondev
03
Decompose to
reuse and share logic
Google
Items
DB
Items Catalog
Service
Geo
Geo
(3rd party)
Geo
DB
Geo
User Management
Service
Geo
User
DB
Items
DB
Geo
User Management
Service
User
DB
@kfirondev
Google
Items
DB
Items Catalog
Service
Geo
Geo
(3rd party)
Geo
DB
Geo
User Management
Service
Geo
User
DB
@kfirondev
WILL FAIL AT SOME POINT
Common mistake to avoid
Google
Items
DB
Items Catalog
Service
Geo
(3rd party)
Geo
DB
Geo
User Management
Service
User
DB
Geo Service
Fetch GeoFetch Geo
@kfirondev
Each service must have its own DB
@kfirondev
DBService A
An example when not to decompose
Extract
Cookie Info
DBService B
Extract
Cookie Info
@kfirondev
Microservices are deployable artifacts
that have Ops or I/O dependencies
@kfirondev
Tested code that is CPU-bound is
more secure and consistent
@kfirondev
04
Decompose to have
single team responsibility
Did you know that 90%
of R&D projects fail?
○ Because of content
○ Because of bugs
○ Because of time to market
Do you know how to
reduce it to 70%?
○ 3-5 developers on 1 team
○ 3-5 months per project
@kfirondev
@kfirondev
Decompose to support organization
scalability
Large teams cannot efficiently
handle a large code base
@kfirondev
Small teams embrace responsibility
and accountability
Any organization that designs a system
(defined broadly) will produce a design whose
structure is a copy of the organization's
communication structure.
@kfirondev
Conway’s law
Decomposition helps your culture
remain startup-ish
when your size is corporate-ish
@kfirondev
Decomposition allows each small
team to have ownership of a service
@kfirondev
Wix Org chart - “Guilds & Gangs”
@kfirondev
Micsroservices is the only way
to support this HR
methodology
01
Resource Isolation
by service level
Decompose to avoid
competition of shared
resources
02
Different release
cycles
Decompose to meet
your product’s life cycle
strategy
03
Reuse and share
logic
Decompose to share
logic with
dependencies
04
Develop & maintain by
a single team
Decompose to meet
your HR needs
@kfirondev
When to break the monolith
Microservices start from a monolith
and should be created with caution
@kfirondev
From monolith to microservices:
Practices to start with
Make changes gradually
www.livbit.com@kfirondev
@kfirondev
Don’t start with
your most critical service
Confidence is built slowly
Use proper monitoring from day one
www.capacitysolutionsplatform.com
@kfirondev
Talk about failures and their causes
The secret of getting ahead is getting started.
- Mark Twain
@kfirondev
Q&A
linkedin/in/blochkfir github.com/kfiron@kfirondevkfirb@wix.com
Kfir Bloch
Thank You
Wix Engineering Blog
http://engineering.wix.com/
We are hiring
http://jobs.wix.com
Kfir Bloch @kfirondev
email
jobs@wix.com

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