SlideShare a Scribd company logo
“Does Django scale?”
An introduction to Scalability
Python Barcelona
David Arcos
Hi! I’m David
●
I’m a backend developer specialized in distributed systems,
scalability and security
●
>10 years building SaaS platforms in different sectors
●
CTO at Lead Ratings
– SaaS solution that uses Machine-Learning algorithms to
predict business metrics (conversion, billing, churn...)
●
Associate professor at ESADE
– Teaching “Cloud Computing”
●
PyBCN meetup assistant since 2008, organizer since 2013
1) Does Django Scale?
Questions
https://stackoverflow.com/questions/886221/does-django-scale
https://docs.djangoproject.com/en/dev/faq/general/#does-django-scale
1) Does Django Scale? YES
2) What is Scalability?
Questions
Scalability
“The potential of a system
to be enlarged to accommodate
a growing amount of work”
“A Word on Scalability” (2006)
“A service is said to be scalable if when
we increase the resources in a system,
it results in increased performance in a
manner proportional to resources added”
- Werner Vogels (Amazon CTO)
https://www.allthingsdistributed.com/2006/03/a_word_on_scalability.html
Will it scale?
An algorithm/protocol/system does scale, if it
is suitably efficient and practical when applied
to large situations. In example:
– a large input data set
– a large number of outputs or users
– a large number of participating nodes
If it fails when increasing, it doesn’t scale.
Performance != Scalability
●
Performance is a quality metric:
– “The time it takes to execute one request”
●
Scalability:
– The ability to maintain that performance, under
increasing load
– Or: increase performance when adding resources
Where is the state?
●
Scaling is much easier if:
– The app servers are stateless
– The database keeps the state
●
So:
– Vertical scalability on (stateful) db servers
– Horizontal scalability on (stateless) app servers
Vertical / horizontal scaling
Vertical scaling
●
Scale up/down: add/remove resources to a
single node
– Adding more power (faster CPU, more CPUs, more
memory, a bigger disk…) to an existing machine
●
Very common on databases (stateful systems)
●
Easier… when possible
Vertical scaling… but...
●
But:
– There are hardware limits
●
RDS current limit of 488 GiB of memory (db.r4.16xlarge)
– Diminishing returns
●
At some point, the level of benefits gained is less than
the amount of money invested.
– Involves downtime
●
Keep a hot spare!
●
RDS Multi A-Z has a “standby” replica with automatic
failover
Horizontal scaling
●
Scale out/in: add/remove nodes to a system
– Adding new computers to a cluster
●
Very common on (stateless) web servers
●
High availability
– doesn’t matter if some nodes crash
●
Cheaper (HW is cheap, VMs are cheap)
Horizontal scaling.. but...
●
But:
– Architecture must support it
●
Keep the state in external db!
– Management overhead
●
Automate it!
●
Sysadmin operations must be treated as software + config
1) Does Django Scale? YES
2) What is Scalability?
3) What is Django?
Questions
“The web framework for
perfectionists with deadlines”
https://www.djangoproject.com
Who uses Django?
●
Instagram
●
Pinterest
●
Spotify
●
Disqus
●
Bitbucket
●
Mozilla Firefox
●
Dropbox
●
Open Stack
●
NASA
●
The Washington Post
●
National Geographic
●
The Onion
●
Eventbrite
●
Prezi
●
Reddit Gifts
●
Open Knowledge
Foundation
●
MacArthur Foundation
DRF: Django REST framework
https://www.django-rest-framework.org
“A powerful and flexible toolkit for building Web APIs”
http://www.celeryproject.org
Celery: Distributed Task Queue
Other Python web frameworks
1) Does Django Scale? YES
2) What is Scalability?
3) What is Django?
4) How to scale Django?
Questions
How to Scale Django?
●
Measure first, find bottlenecks
– Rinse and repeat
●
Focus on database performance
– Indexes, queries, replicas...
●
Cache all the things!
– Excellent cache documentation
●
Run slow tasks in async workers
– (when possible)
“High Performance Django” book
https://highperformancedjango.com
1) Does Django Scale? YES
2) What is Scalability?
3) What is Django?
4) How to scale Django?
Questions
Thanks for attending!
At Lead Ratings we are looking for:
– Python Developers
– Data Engineers
– Data Scientists
Questions?

More Related Content

What's hot

Doxygen 사용법
Doxygen 사용법Doxygen 사용법
Doxygen 사용법YoungSu Son
 
인프런 - 스타트업 인프랩 시작 사례
인프런 - 스타트업 인프랩 시작 사례인프런 - 스타트업 인프랩 시작 사례
인프런 - 스타트업 인프랩 시작 사례Hyung Lee
 
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기Sangik Bae
 
Front end 웹사이트 성능 측정 및 개선
Front end 웹사이트 성능 측정 및 개선Front end 웹사이트 성능 측정 및 개선
Front end 웹사이트 성능 측정 및 개선기동 이
 
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요Jo Hoon
 
Git 101 - Crash Course in Version Control using Git
Git 101 - Crash Course in Version Control using GitGit 101 - Crash Course in Version Control using Git
Git 101 - Crash Course in Version Control using GitGeoff Hoffman
 
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Amazon Web Services
 
깨끗한 코드 (클린 코드, Clean Code)
깨끗한 코드 (클린 코드, Clean Code)깨끗한 코드 (클린 코드, Clean Code)
깨끗한 코드 (클린 코드, Clean Code)Jay Park
 
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)충섭 김
 
Infrastructure as "Code" with Pulumi
Infrastructure as "Code" with PulumiInfrastructure as "Code" with Pulumi
Infrastructure as "Code" with PulumiVenura Athukorala
 
Diseño de APIs con OpenAPI
Diseño de APIs con OpenAPIDiseño de APIs con OpenAPI
Diseño de APIs con OpenAPIPedro J. Molina
 
containerD
containerDcontainerD
containerDstrikr .
 
The Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesThe Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesEficode
 
Etsy Activity Feeds Architecture
Etsy Activity Feeds ArchitectureEtsy Activity Feeds Architecture
Etsy Activity Feeds ArchitectureDan McKinley
 
Facebook은 React를 왜 만들었을까?
Facebook은 React를 왜 만들었을까? Facebook은 React를 왜 만들었을까?
Facebook은 React를 왜 만들었을까? Kim Hunmin
 
Tips on how to improve the performance of your custom modules for high volume...
Tips on how to improve the performance of your custom modules for high volume...Tips on how to improve the performance of your custom modules for high volume...
Tips on how to improve the performance of your custom modules for high volume...Odoo
 
In-memory Caching in HDFS: Lower Latency, Same Great Taste
In-memory Caching in HDFS: Lower Latency, Same Great TasteIn-memory Caching in HDFS: Lower Latency, Same Great Taste
In-memory Caching in HDFS: Lower Latency, Same Great TasteDataWorks Summit
 
Tools for Solving Performance Issues
Tools for Solving Performance IssuesTools for Solving Performance Issues
Tools for Solving Performance IssuesOdoo
 

What's hot (20)

Doxygen 사용법
Doxygen 사용법Doxygen 사용법
Doxygen 사용법
 
인프런 - 스타트업 인프랩 시작 사례
인프런 - 스타트업 인프랩 시작 사례인프런 - 스타트업 인프랩 시작 사례
인프런 - 스타트업 인프랩 시작 사례
 
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기
golang과 websocket을 활용한 서버프로그래밍 - 장애없는 서버 런칭 도전기
 
Front end 웹사이트 성능 측정 및 개선
Front end 웹사이트 성능 측정 및 개선Front end 웹사이트 성능 측정 및 개선
Front end 웹사이트 성능 측정 및 개선
 
YAML Magic
YAML MagicYAML Magic
YAML Magic
 
Open Policy Agent
Open Policy AgentOpen Policy Agent
Open Policy Agent
 
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요
왜 쿠버네티스는 systemd로 cgroup을 관리하려고 할까요
 
Git 101 - Crash Course in Version Control using Git
Git 101 - Crash Course in Version Control using GitGit 101 - Crash Course in Version Control using Git
Git 101 - Crash Course in Version Control using Git
 
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017
Best Practices for Running PostgreSQL on AWS - DAT314 - re:Invent 2017
 
깨끗한 코드 (클린 코드, Clean Code)
깨끗한 코드 (클린 코드, Clean Code)깨끗한 코드 (클린 코드, Clean Code)
깨끗한 코드 (클린 코드, Clean Code)
 
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)
쿠버네티스를 이용한 기능 브랜치별 테스트 서버 만들기 (GitOps CI/CD)
 
Infrastructure as "Code" with Pulumi
Infrastructure as "Code" with PulumiInfrastructure as "Code" with Pulumi
Infrastructure as "Code" with Pulumi
 
Diseño de APIs con OpenAPI
Diseño de APIs con OpenAPIDiseño de APIs con OpenAPI
Diseño de APIs con OpenAPI
 
containerD
containerDcontainerD
containerD
 
The Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with MicroservicesThe Mono-repo – a contradiction with Microservices
The Mono-repo – a contradiction with Microservices
 
Etsy Activity Feeds Architecture
Etsy Activity Feeds ArchitectureEtsy Activity Feeds Architecture
Etsy Activity Feeds Architecture
 
Facebook은 React를 왜 만들었을까?
Facebook은 React를 왜 만들었을까? Facebook은 React를 왜 만들었을까?
Facebook은 React를 왜 만들었을까?
 
Tips on how to improve the performance of your custom modules for high volume...
Tips on how to improve the performance of your custom modules for high volume...Tips on how to improve the performance of your custom modules for high volume...
Tips on how to improve the performance of your custom modules for high volume...
 
In-memory Caching in HDFS: Lower Latency, Same Great Taste
In-memory Caching in HDFS: Lower Latency, Same Great TasteIn-memory Caching in HDFS: Lower Latency, Same Great Taste
In-memory Caching in HDFS: Lower Latency, Same Great Taste
 
Tools for Solving Performance Issues
Tools for Solving Performance IssuesTools for Solving Performance Issues
Tools for Solving Performance Issues
 

Similar to Does Django scale? An introduction to Scalability

VMworld 2013: Virtualizing Databases: Doing IT Right
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld 2013: Virtualizing Databases: Doing IT Right
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
 
Hadoop: Big Data Stacks validation w/ iTest How to tame the elephant?
Hadoop:  Big Data Stacks validation w/ iTest  How to tame the elephant?Hadoop:  Big Data Stacks validation w/ iTest  How to tame the elephant?
Hadoop: Big Data Stacks validation w/ iTest How to tame the elephant?Dmitri Shiryaev
 
An Introduction To Palomino
An Introduction To PalominoAn Introduction To Palomino
An Introduction To PalominoLaine Campbell
 
PHP At 5000 Requests Per Second: Hootsuite’s Scaling Story
PHP At 5000 Requests Per Second: Hootsuite’s Scaling StoryPHP At 5000 Requests Per Second: Hootsuite’s Scaling Story
PHP At 5000 Requests Per Second: Hootsuite’s Scaling Storyvanphp
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015Christopher Curtin
 
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...confluent
 
Drupal performance and scalability
Drupal performance and scalabilityDrupal performance and scalability
Drupal performance and scalabilityTwinbit
 
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...Gianmario Spacagna
 
Building a High Performance Analytics Platform
Building a High Performance Analytics PlatformBuilding a High Performance Analytics Platform
Building a High Performance Analytics PlatformSantanu Dey
 
Intro to Azure SQL database
Intro to Azure SQL databaseIntro to Azure SQL database
Intro to Azure SQL databaseSteve Knutson
 
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)John Schneider
 
Time Series Analytics Azure ADX
Time Series Analytics Azure ADXTime Series Analytics Azure ADX
Time Series Analytics Azure ADXRiccardo Zamana
 
Explore big data at speed of thought with Spark 2.0 and Snappydata
Explore big data at speed of thought with Spark 2.0 and SnappydataExplore big data at speed of thought with Spark 2.0 and Snappydata
Explore big data at speed of thought with Spark 2.0 and SnappydataData Con LA
 
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013Understanding AWS Database Options (DAT201) | AWS re:Invent 2013
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013Amazon Web Services
 
Logical-DataWarehouse-Alluxio-meetup
Logical-DataWarehouse-Alluxio-meetupLogical-DataWarehouse-Alluxio-meetup
Logical-DataWarehouse-Alluxio-meetupGianmario Spacagna
 
Azure Custom Backup Solution for SAP NetWeaver
Azure Custom Backup Solution for SAP NetWeaverAzure Custom Backup Solution for SAP NetWeaver
Azure Custom Backup Solution for SAP NetWeaverGary Jackson MBCS
 
Machine Learning on Google Cloud with H2O
Machine Learning on Google Cloud with H2OMachine Learning on Google Cloud with H2O
Machine Learning on Google Cloud with H2OSri Ambati
 
Introduction To Apache Mesos
Introduction To Apache MesosIntroduction To Apache Mesos
Introduction To Apache MesosTimothy St. Clair
 
A real-life account of moving 100% to a public cloud
A real-life account of moving 100% to a public cloudA real-life account of moving 100% to a public cloud
A real-life account of moving 100% to a public cloudJulien SIMON
 
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016Alluxio, Inc.
 

Similar to Does Django scale? An introduction to Scalability (20)

VMworld 2013: Virtualizing Databases: Doing IT Right
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld 2013: Virtualizing Databases: Doing IT Right
VMworld 2013: Virtualizing Databases: Doing IT Right
 
Hadoop: Big Data Stacks validation w/ iTest How to tame the elephant?
Hadoop:  Big Data Stacks validation w/ iTest  How to tame the elephant?Hadoop:  Big Data Stacks validation w/ iTest  How to tame the elephant?
Hadoop: Big Data Stacks validation w/ iTest How to tame the elephant?
 
An Introduction To Palomino
An Introduction To PalominoAn Introduction To Palomino
An Introduction To Palomino
 
PHP At 5000 Requests Per Second: Hootsuite’s Scaling Story
PHP At 5000 Requests Per Second: Hootsuite’s Scaling StoryPHP At 5000 Requests Per Second: Hootsuite’s Scaling Story
PHP At 5000 Requests Per Second: Hootsuite’s Scaling Story
 
UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015UnConference for Georgia Southern Computer Science March 31, 2015
UnConference for Georgia Southern Computer Science March 31, 2015
 
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...
Scaling Security on 100s of Millions of Mobile Devices Using Apache Kafka® an...
 
Drupal performance and scalability
Drupal performance and scalabilityDrupal performance and scalability
Drupal performance and scalability
 
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...
In-Memory Logical Data Warehouse for accelerating Machine Learning Pipelines ...
 
Building a High Performance Analytics Platform
Building a High Performance Analytics PlatformBuilding a High Performance Analytics Platform
Building a High Performance Analytics Platform
 
Intro to Azure SQL database
Intro to Azure SQL databaseIntro to Azure SQL database
Intro to Azure SQL database
 
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)
 
Time Series Analytics Azure ADX
Time Series Analytics Azure ADXTime Series Analytics Azure ADX
Time Series Analytics Azure ADX
 
Explore big data at speed of thought with Spark 2.0 and Snappydata
Explore big data at speed of thought with Spark 2.0 and SnappydataExplore big data at speed of thought with Spark 2.0 and Snappydata
Explore big data at speed of thought with Spark 2.0 and Snappydata
 
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013Understanding AWS Database Options (DAT201) | AWS re:Invent 2013
Understanding AWS Database Options (DAT201) | AWS re:Invent 2013
 
Logical-DataWarehouse-Alluxio-meetup
Logical-DataWarehouse-Alluxio-meetupLogical-DataWarehouse-Alluxio-meetup
Logical-DataWarehouse-Alluxio-meetup
 
Azure Custom Backup Solution for SAP NetWeaver
Azure Custom Backup Solution for SAP NetWeaverAzure Custom Backup Solution for SAP NetWeaver
Azure Custom Backup Solution for SAP NetWeaver
 
Machine Learning on Google Cloud with H2O
Machine Learning on Google Cloud with H2OMachine Learning on Google Cloud with H2O
Machine Learning on Google Cloud with H2O
 
Introduction To Apache Mesos
Introduction To Apache MesosIntroduction To Apache Mesos
Introduction To Apache Mesos
 
A real-life account of moving 100% to a public cloud
A real-life account of moving 100% to a public cloudA real-life account of moving 100% to a public cloud
A real-life account of moving 100% to a public cloud
 
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016
Accelerating Machine Learning Pipelines with Alluxio at Alluxio Meetup 2016
 

Recently uploaded

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxDavid Michel
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Thierry Lestable
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Product School
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀DianaGray10
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
 
НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»QADay
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...Product School
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2DianaGray10
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...Sri Ambati
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Alison B. Lowndes
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsVlad Stirbu
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
 

Recently uploaded (20)

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIs
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 

Does Django scale? An introduction to Scalability

  • 1. “Does Django scale?” An introduction to Scalability Python Barcelona David Arcos
  • 2. Hi! I’m David ● I’m a backend developer specialized in distributed systems, scalability and security ● >10 years building SaaS platforms in different sectors ● CTO at Lead Ratings – SaaS solution that uses Machine-Learning algorithms to predict business metrics (conversion, billing, churn...) ● Associate professor at ESADE – Teaching “Cloud Computing” ● PyBCN meetup assistant since 2008, organizer since 2013
  • 3. 1) Does Django Scale? Questions
  • 6. 1) Does Django Scale? YES 2) What is Scalability? Questions
  • 7. Scalability “The potential of a system to be enlarged to accommodate a growing amount of work”
  • 8. “A Word on Scalability” (2006) “A service is said to be scalable if when we increase the resources in a system, it results in increased performance in a manner proportional to resources added” - Werner Vogels (Amazon CTO) https://www.allthingsdistributed.com/2006/03/a_word_on_scalability.html
  • 9. Will it scale? An algorithm/protocol/system does scale, if it is suitably efficient and practical when applied to large situations. In example: – a large input data set – a large number of outputs or users – a large number of participating nodes If it fails when increasing, it doesn’t scale.
  • 10. Performance != Scalability ● Performance is a quality metric: – “The time it takes to execute one request” ● Scalability: – The ability to maintain that performance, under increasing load – Or: increase performance when adding resources
  • 11. Where is the state? ● Scaling is much easier if: – The app servers are stateless – The database keeps the state ● So: – Vertical scalability on (stateful) db servers – Horizontal scalability on (stateless) app servers
  • 13. Vertical scaling ● Scale up/down: add/remove resources to a single node – Adding more power (faster CPU, more CPUs, more memory, a bigger disk…) to an existing machine ● Very common on databases (stateful systems) ● Easier… when possible
  • 14. Vertical scaling… but... ● But: – There are hardware limits ● RDS current limit of 488 GiB of memory (db.r4.16xlarge) – Diminishing returns ● At some point, the level of benefits gained is less than the amount of money invested. – Involves downtime ● Keep a hot spare! ● RDS Multi A-Z has a “standby” replica with automatic failover
  • 15. Horizontal scaling ● Scale out/in: add/remove nodes to a system – Adding new computers to a cluster ● Very common on (stateless) web servers ● High availability – doesn’t matter if some nodes crash ● Cheaper (HW is cheap, VMs are cheap)
  • 16. Horizontal scaling.. but... ● But: – Architecture must support it ● Keep the state in external db! – Management overhead ● Automate it! ● Sysadmin operations must be treated as software + config
  • 17. 1) Does Django Scale? YES 2) What is Scalability? 3) What is Django? Questions
  • 18. “The web framework for perfectionists with deadlines” https://www.djangoproject.com
  • 19. Who uses Django? ● Instagram ● Pinterest ● Spotify ● Disqus ● Bitbucket ● Mozilla Firefox ● Dropbox ● Open Stack ● NASA ● The Washington Post ● National Geographic ● The Onion ● Eventbrite ● Prezi ● Reddit Gifts ● Open Knowledge Foundation ● MacArthur Foundation
  • 20.
  • 21.
  • 22. DRF: Django REST framework https://www.django-rest-framework.org “A powerful and flexible toolkit for building Web APIs”
  • 24. Other Python web frameworks
  • 25. 1) Does Django Scale? YES 2) What is Scalability? 3) What is Django? 4) How to scale Django? Questions
  • 26. How to Scale Django? ● Measure first, find bottlenecks – Rinse and repeat ● Focus on database performance – Indexes, queries, replicas... ● Cache all the things! – Excellent cache documentation ● Run slow tasks in async workers – (when possible)
  • 27. “High Performance Django” book https://highperformancedjango.com
  • 28. 1) Does Django Scale? YES 2) What is Scalability? 3) What is Django? 4) How to scale Django? Questions
  • 29. Thanks for attending! At Lead Ratings we are looking for: – Python Developers – Data Engineers – Data Scientists