SlideShare a Scribd company logo
1 of 37
Netflix



AWS         Cassandra
Netflix API – Growth in requests
                                 25
Requests in Billions (per day)




                                 20

                                 15

                                 10

                                  5

                                  0



                                            Data Center Capacity
us-west-2

                    1c                                          1c     1a
        1e                         1d            S3                              1b

 1d                                     1e                 1b                         1c
      Durability (Quorum)
1c           One instance:              1c               1a                           1a
          Availability zone:   
               Replica set:    
 1e                                     1d                 1c                         1b

        1d                         1e                           1b               1c
                    1c                           S3                    1a                   S3
                us-east-1                                            eu-west-1
23
24
25
26
Client Writes/s by node count – Replication Factor = 3
1200000
                                                                       1099837
1000000

800000

600000
                                           537172
400000                           366828

200000                 174373

     0
          0          50         100       150       200      250       300       350
50          Number of production clusters
15          Number of multi-region clusters
4           Max regions, one cluster
101         Total TB of data across all clusters
780         Number of Cassandra nodes
72/32       Largest Cassandra cluster (nodes/data in TB)
250k/800k   Max read/writes per second on a single cluster
http://techblog.netflix.com
http://netflix.github.com
We are sincerely eager to
hear your FEEDBACK on this
presentation and on re:Invent.

 Please fill out an evaluation
   form when you have a
            chance.
DAT202 Optimizing your Cassandra Database on AWS - AWS re: Invent 2012

More Related Content

What's hot

The Netflix Open Source Platform
The Netflix Open Source PlatformThe Netflix Open Source Platform
The Netflix Open Source PlatformRuslan Meshenberg
 
Cloud Computing for Developers and Architects - QCon 2008 Tutorial
Cloud Computing for Developers and Architects - QCon 2008 TutorialCloud Computing for Developers and Architects - QCon 2008 Tutorial
Cloud Computing for Developers and Architects - QCon 2008 TutorialStuart Charlton
 
Netflix on Cloud - combined slides for Dev and Ops
Netflix on Cloud - combined slides for Dev and OpsNetflix on Cloud - combined slides for Dev and Ops
Netflix on Cloud - combined slides for Dev and OpsAdrian Cockcroft
 
Netflix Global Applications - NoSQL Search Roadshow
Netflix Global Applications - NoSQL Search RoadshowNetflix Global Applications - NoSQL Search Roadshow
Netflix Global Applications - NoSQL Search RoadshowAdrian Cockcroft
 
Ram chinta hug-20120922-v1
Ram chinta hug-20120922-v1Ram chinta hug-20120922-v1
Ram chinta hug-20120922-v1Ram Chinta
 
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...Adrian Cockcroft
 
Architectures for High Availability - QConSF
Architectures for High Availability - QConSFArchitectures for High Availability - QConSF
Architectures for High Availability - QConSFAdrian Cockcroft
 
AWS Update | London - Overview of New Releases
AWS Update | London - Overview of New ReleasesAWS Update | London - Overview of New Releases
AWS Update | London - Overview of New ReleasesAmazon Web Services
 
CloudFest Denver Windows Azure Design Patterns
CloudFest Denver Windows Azure Design PatternsCloudFest Denver Windows Azure Design Patterns
CloudFest Denver Windows Azure Design PatternsDavid Pallmann
 
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetup
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetupBDM24 - Cassandra use case at Netflix 20140429 montrealmeetup
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetupDavid Lauzon
 
Prepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingPrepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingHarish Ganesan
 
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Amazon Web Services
 
Intro to Batch Processing on AWS - DevDay Austin 2017
Intro to Batch Processing on AWS - DevDay Austin 2017Intro to Batch Processing on AWS - DevDay Austin 2017
Intro to Batch Processing on AWS - DevDay Austin 2017Amazon Web Services
 
Advanced Task Scheduling with Amazon ECS (June 2017)
Advanced Task Scheduling with Amazon ECS (June 2017)Advanced Task Scheduling with Amazon ECS (June 2017)
Advanced Task Scheduling with Amazon ECS (June 2017)Julien SIMON
 
Performance architecture for cloud connect
Performance architecture for cloud connectPerformance architecture for cloud connect
Performance architecture for cloud connectAdrian Cockcroft
 
AWS Update | London - Performance Update and Provisioned IOPS
AWS Update | London - Performance Update and Provisioned IOPSAWS Update | London - Performance Update and Provisioned IOPS
AWS Update | London - Performance Update and Provisioned IOPSAmazon Web Services
 

What's hot (20)

The Netflix Open Source Platform
The Netflix Open Source PlatformThe Netflix Open Source Platform
The Netflix Open Source Platform
 
Cloud Computing for Developers and Architects - QCon 2008 Tutorial
Cloud Computing for Developers and Architects - QCon 2008 TutorialCloud Computing for Developers and Architects - QCon 2008 Tutorial
Cloud Computing for Developers and Architects - QCon 2008 Tutorial
 
Netflix on Cloud - combined slides for Dev and Ops
Netflix on Cloud - combined slides for Dev and OpsNetflix on Cloud - combined slides for Dev and Ops
Netflix on Cloud - combined slides for Dev and Ops
 
Netflix Global Applications - NoSQL Search Roadshow
Netflix Global Applications - NoSQL Search RoadshowNetflix Global Applications - NoSQL Search Roadshow
Netflix Global Applications - NoSQL Search Roadshow
 
Netflix in the cloud 2011
Netflix in the cloud 2011Netflix in the cloud 2011
Netflix in the cloud 2011
 
Ram chinta hug-20120922-v1
Ram chinta hug-20120922-v1Ram chinta hug-20120922-v1
Ram chinta hug-20120922-v1
 
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...
Global Netflix - HPTS Workshop - Scaling Cassandra benchmark to over 1M write...
 
Netflix in the Cloud
Netflix in the CloudNetflix in the Cloud
Netflix in the Cloud
 
Architectures for High Availability - QConSF
Architectures for High Availability - QConSFArchitectures for High Availability - QConSF
Architectures for High Availability - QConSF
 
AWS Update | London - Overview of New Releases
AWS Update | London - Overview of New ReleasesAWS Update | London - Overview of New Releases
AWS Update | London - Overview of New Releases
 
CloudFest Denver Windows Azure Design Patterns
CloudFest Denver Windows Azure Design PatternsCloudFest Denver Windows Azure Design Patterns
CloudFest Denver Windows Azure Design Patterns
 
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetup
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetupBDM24 - Cassandra use case at Netflix 20140429 montrealmeetup
BDM24 - Cassandra use case at Netflix 20140429 montrealmeetup
 
Prepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for ThanksgivingPrepare your IT Infrastructure for Thanksgiving
Prepare your IT Infrastructure for Thanksgiving
 
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
 
Intro to Batch Processing on AWS - DevDay Austin 2017
Intro to Batch Processing on AWS - DevDay Austin 2017Intro to Batch Processing on AWS - DevDay Austin 2017
Intro to Batch Processing on AWS - DevDay Austin 2017
 
Advanced Task Scheduling with Amazon ECS (June 2017)
Advanced Task Scheduling with Amazon ECS (June 2017)Advanced Task Scheduling with Amazon ECS (June 2017)
Advanced Task Scheduling with Amazon ECS (June 2017)
 
Performance architecture for cloud connect
Performance architecture for cloud connectPerformance architecture for cloud connect
Performance architecture for cloud connect
 
Deep Dive on Amazon EC2
Deep Dive on Amazon EC2Deep Dive on Amazon EC2
Deep Dive on Amazon EC2
 
AWS Update | London - Performance Update and Provisioned IOPS
AWS Update | London - Performance Update and Provisioned IOPSAWS Update | London - Performance Update and Provisioned IOPS
AWS Update | London - Performance Update and Provisioned IOPS
 
Art of Using Xen at Scale
Art of Using Xen at ScaleArt of Using Xen at Scale
Art of Using Xen at Scale
 

Similar to DAT202 Optimizing your Cassandra Database on AWS - AWS re: Invent 2012

Optimizing Cassandra in AWS
Optimizing Cassandra in AWSOptimizing Cassandra in AWS
Optimizing Cassandra in AWSgreggulrich
 
re:Invent 2012 Optimizing Cassandra
re:Invent 2012 Optimizing Cassandrare:Invent 2012 Optimizing Cassandra
re:Invent 2012 Optimizing CassandraRuslan Meshenberg
 
GE Digital Energy Conference 2012 - NIS AG - High performance web solutions
GE Digital Energy Conference 2012 - NIS AG - High performance web solutionsGE Digital Energy Conference 2012 - NIS AG - High performance web solutions
GE Digital Energy Conference 2012 - NIS AG - High performance web solutionsErwin Saegesser
 
Critical Issues at Exascale for Algorithm and Software Design
Critical Issues at Exascale for Algorithm and Software DesignCritical Issues at Exascale for Algorithm and Software Design
Critical Issues at Exascale for Algorithm and Software Designtop500
 
Railway Bridge Health Monitoring System
Railway Bridge Health Monitoring SystemRailway Bridge Health Monitoring System
Railway Bridge Health Monitoring SystemJose Ortega
 
OSCON Data 2011 -- NoSQL @ Netflix, Part 2
OSCON Data 2011 -- NoSQL @ Netflix, Part 2OSCON Data 2011 -- NoSQL @ Netflix, Part 2
OSCON Data 2011 -- NoSQL @ Netflix, Part 2Sid Anand
 
OLTP Performance Benchmark Review
OLTP Performance Benchmark ReviewOLTP Performance Benchmark Review
OLTP Performance Benchmark ReviewJignesh Shah
 
Map Server comparison, OGC WMS - Random Extent
Map Server comparison, OGC WMS - Random ExtentMap Server comparison, OGC WMS - Random Extent
Map Server comparison, OGC WMS - Random ExtentGeoCommunity
 
DRP for Big Data - Stream Processing Architectures
DRP for Big Data - Stream Processing ArchitecturesDRP for Big Data - Stream Processing Architectures
DRP for Big Data - Stream Processing ArchitecturesMohamed Mehdi Ben Aissa
 
Seeley yonik solr performance key innovations
Seeley yonik   solr performance key innovationsSeeley yonik   solr performance key innovations
Seeley yonik solr performance key innovationsLucidworks (Archived)
 
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...Yahoo Developer Network
 
Modernización del manejo de datos con v fabric
Modernización del manejo de datos con v fabricModernización del manejo de datos con v fabric
Modernización del manejo de datos con v fabricSoftware Guru
 
J Ruby Kungfu Rails
J Ruby   Kungfu RailsJ Ruby   Kungfu Rails
J Ruby Kungfu RailsDaniel Lv
 

Similar to DAT202 Optimizing your Cassandra Database on AWS - AWS re: Invent 2012 (15)

Optimizing Cassandra in AWS
Optimizing Cassandra in AWSOptimizing Cassandra in AWS
Optimizing Cassandra in AWS
 
re:Invent 2012 Optimizing Cassandra
re:Invent 2012 Optimizing Cassandrare:Invent 2012 Optimizing Cassandra
re:Invent 2012 Optimizing Cassandra
 
GE Digital Energy Conference 2012 - NIS AG - High performance web solutions
GE Digital Energy Conference 2012 - NIS AG - High performance web solutionsGE Digital Energy Conference 2012 - NIS AG - High performance web solutions
GE Digital Energy Conference 2012 - NIS AG - High performance web solutions
 
Tao zhang
Tao zhangTao zhang
Tao zhang
 
Critical Issues at Exascale for Algorithm and Software Design
Critical Issues at Exascale for Algorithm and Software DesignCritical Issues at Exascale for Algorithm and Software Design
Critical Issues at Exascale for Algorithm and Software Design
 
Railway Bridge Health Monitoring System
Railway Bridge Health Monitoring SystemRailway Bridge Health Monitoring System
Railway Bridge Health Monitoring System
 
OSCON Data 2011 -- NoSQL @ Netflix, Part 2
OSCON Data 2011 -- NoSQL @ Netflix, Part 2OSCON Data 2011 -- NoSQL @ Netflix, Part 2
OSCON Data 2011 -- NoSQL @ Netflix, Part 2
 
Nature knows best
Nature knows bestNature knows best
Nature knows best
 
OLTP Performance Benchmark Review
OLTP Performance Benchmark ReviewOLTP Performance Benchmark Review
OLTP Performance Benchmark Review
 
Map Server comparison, OGC WMS - Random Extent
Map Server comparison, OGC WMS - Random ExtentMap Server comparison, OGC WMS - Random Extent
Map Server comparison, OGC WMS - Random Extent
 
DRP for Big Data - Stream Processing Architectures
DRP for Big Data - Stream Processing ArchitecturesDRP for Big Data - Stream Processing Architectures
DRP for Big Data - Stream Processing Architectures
 
Seeley yonik solr performance key innovations
Seeley yonik   solr performance key innovationsSeeley yonik   solr performance key innovations
Seeley yonik solr performance key innovations
 
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...
Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...
 
Modernización del manejo de datos con v fabric
Modernización del manejo de datos con v fabricModernización del manejo de datos con v fabric
Modernización del manejo de datos con v fabric
 
J Ruby Kungfu Rails
J Ruby   Kungfu RailsJ Ruby   Kungfu Rails
J Ruby Kungfu Rails
 

More from Amazon Web Services

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateAmazon Web Services
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSAmazon Web Services
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareAmazon Web Services
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAmazon Web Services
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWSAmazon Web Services
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckAmazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without serversAmazon Web Services
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceAmazon Web Services
 

More from Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWS
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch Deck
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
 

DAT202 Optimizing your Cassandra Database on AWS - AWS re: Invent 2012

  • 1.
  • 2. Netflix AWS Cassandra
  • 3.
  • 4. Netflix API – Growth in requests 25 Requests in Billions (per day) 20 15 10 5 0 Data Center Capacity
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. us-west-2 1c 1c 1a 1e 1d S3 1b 1d 1e 1b 1c Durability (Quorum) 1c One instance:  1c 1a 1a Availability zone:  Replica set:  1e 1d 1c 1b 1d 1e 1b 1c 1c S3 1a S3 us-east-1 eu-west-1
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. 26
  • 27. Client Writes/s by node count – Replication Factor = 3 1200000 1099837 1000000 800000 600000 537172 400000 366828 200000 174373 0 0 50 100 150 200 250 300 350
  • 28.
  • 29.
  • 30. 50 Number of production clusters 15 Number of multi-region clusters 4 Max regions, one cluster 101 Total TB of data across all clusters 780 Number of Cassandra nodes 72/32 Largest Cassandra cluster (nodes/data in TB) 250k/800k Max read/writes per second on a single cluster
  • 31.
  • 32.
  • 33.
  • 34.
  • 36. We are sincerely eager to hear your FEEDBACK on this presentation and on re:Invent. Please fill out an evaluation form when you have a chance.