MICRO-BLOGGING
FOR
THE
ENTERPRISE
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Who Am I
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Amit Kumar
Who Am I
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Amit Kumar
Consultant and Rubyist
Who Am I
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Amit Kumar
Consultant and Rubyist
TATA Consultancy Services Limited
Who Am I
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Amit Kumar
Consultant and Rubyist
TATA Consultancy Services Limited
twitter.com/toamit
Who Am I
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Amit Kumar
Consultant and Rubyist
TATA Consultancy Services Limited
twitter.com/toamit
github.com/toamitkumar
Who Am I
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AGENDA
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AGENDA
Micro-Blogging for “The Enterprise”
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AGENDA
Micro-Blogging for “The Enterprise”
Relational DB Structure
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AGENDA
Micro-Blogging for “The Enterprise”
Relational DB Structure
Performance issues
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AGENDA
Micro-Blogging for “The Enterprise”
Relational DB Structure
Performance issues
Caching?
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AGENDA
Micro-Blogging for “The Enterprise”
Relational DB Structure
Performance issues
Caching?
MongoDB
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AGENDA
Micro-Blogging for “The Enterprise”
Relational DB Structure
Performance issues
Caching?
MongoDB
Hybrid Approach
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What
Micro-Blogging
Mean To
Enterprise
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Enterprise Demands
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Message threads (Facebook like experience)
Enterprise Demands
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Message threads (Facebook like experience)
Activities of follower list
Enterprise Demands
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Message threads (Facebook like experience)
Activities of follower list
Two timelines
Enterprise Demands
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Message threads (Facebook like experience)
Activities of follower list
Two timelines
Individual
Enterprise Demands
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Message threads (Facebook like experience)
Activities of follower list
Two timelines
Individual
Public
Enterprise Demands
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Message threads (Facebook like experience)
Activities of follower list
Two timelines
Individual
Public
Filtering messages (role/office etc)
Enterprise Demands
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Timeline
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Timeline
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Timeline
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Timeline
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Timeline
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Timeline
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Relational
DB Structure
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Traditional Relational Design
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Traditional Relational Design
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Traditional Relational Design
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Enterprise Demands - II
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Enterprise Demands - II
Most popular posts
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Enterprise Demands - II
Most popular posts
Hash-tags (#hashtag)
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Enterprise Demands - II
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Enterprise Demands - II
Ability to follow hash-tags
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Enterprise Demands - II
Ability to follow hash-tags
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Enterprise Demands - II
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Enterprise Demands - II
Activity on hash-tag flow to timeline
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Enterprise Demands - II
Activity on hash-tag flow to timeline
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Enterprise Demands - II
Activity on hash-tag flow to timeline
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Enterprise Demands - II
Activity on hash-tag flow to timeline
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Enterprise Demands - II
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Hash-tag on comment will tag the whole thread
Enterprise Demands - II
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Hash-tag on comment will tag the whole thread
Enterprise Demands - II
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Traditional Relational Design
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Traditional Relational Design
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Traditional Relational Design
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Traditional Relational Design
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COMPLEX AND
UNMAINTAINABLE CODE
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COMPLEX AND
UNMAINTAINABLE CODE
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COMPLEX AND
UNMAINTAINABLE CODE
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COMPLEX AND
UNMAINTAINABLE CODE
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COMPLEX AND
UNMAINTAINABLE CODE
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PERFORMANCE
DEGRADES
WITH
INCREASING DATA
VOLUME
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Performance Benchmark
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Performance Benchmark
SQL query benchmarks
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Performance Benchmark
SQL query benchmarks
10,000,000 messages
200,000,000 comments
50,000,000 message likes
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0
750
1500
2250
3000
Response ms
in millions
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Caching?
(Redis)
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Caching Solution Like
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Caching Solution Like
Break point in Architecture
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Caching Solution Like
Break point in Architecture
No Query Interface
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Caching Solution Like
Break point in Architecture
No Query Interface
No clustering support
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Caching Solution Like
Break point in Architecture
No Query Interface
No clustering support
More messy code
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A Document Based DB?
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A Document Based DB?
Activity threads are
like nested
“DOCUMENTS”
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One Document
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A Document Based DB?
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A Document Based DB?
Storing them as relational structure
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A Document Based DB?
Storing them as relational structure
Converting them back to documents
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A Document Based DB?
Storing them as relational structure
Converting them back to documents
Store them as “Activity Documents”
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Why MONGODB?
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Why MONGODB?
It is Cool
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Hybrid Approach
(Relational DB
+
MongoDB)
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Hybrid Approach
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Hybrid Approach
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Architecture
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Architecture
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Data Migration
From
Relational DB
TO
MongoDB
WAS EASY!!
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Performance Benchmark
SQL MongoDB
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Performance Benchmark
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0
750
1500
2250
3000
SQL QUERY vs MongoDB
Response in ms
in millions
SQL MongoDB
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Simple, Clean
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Simple, Clean
And
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Simple, Clean
And
Maintainable Code
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Simple, Clean
And
Maintainable Code
BUT WAIT !!!
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Simple, Clean
And
Maintainable Code
BUT WAIT !!!
TRANSACTION??
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Transaction Management
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Transaction Management
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Scaling with MongoDB
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Scaling with MongoDB
Indexing
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Scaling with MongoDB
Indexing
Sharding?
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Scaling with MongoDB
Indexing
Sharding?
8 GB of Data
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Monitoring Mongos
mongostat
Http Console (localhost:28017)
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Monitoring Mongos
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Relational DB And MongoDB
Live In Harmony Together
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Relational DB And MongoDB
Live In Harmony Together
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