SlideShare a Scribd company logo
1 of 37
Download to read offline
Lean DevOps
Lessons Learned from
Innovation-driven Companies
Xavier Amatriain (@xamat)
DevOps Unleashed Seminar, Mountain View, 04/21/2015
A bit about me...
2007-2011 2011-2014 2015
~275000 empl. ~2500 empl. ~110 empl.
$73B (market cap) $34B (market cap) $880M (valuation)
Outline
1. Being Lean
2. Experimentation, innovation
& breaking things
3. The CASSSH Model
4. Lessons Learned
5. Conclusions
Being Lean
The lean “company”
Optimize learning velocity
“If you want to increase your success
rate, double your failure rate”
Thomas J. Watson, IBM CEO (1914-56)
The lean DevOps
From Bernie Coyne, DevOps Evangelist, IBM Cloud - Austin Devops Unleashed 2015
Experimentation,
innovation
&
breaking things
● Offline Experimentation
○ Data Analysis
○ Modeling
○ Prototyping
● Online Experimentation
○ A/B Testing
Consumer Data Science
Enabling Experimentation
define_experiment(
experiment_name = 'homepage_image',
description = 'Sample description',
funnel = funnel.types.homepage_signup,
traffic_type = traffic.types.browser,
default_value = None,
layer = layer.types.logged_out_homepage,
layer_buckets = [
(range(0, 250), 'earth_image'),
(range(250, 500), 'book_image'),
(range(500, 750), 'person_image')
])
The probability of
breaking things
increases with
innovation velocity
Innovation vs. stability
The Innovation
Velocity curve can
shift with better
processes
Innovation vs. stability
CASSSH
(Cost, Availability, Scalability, Speed,
Security, devops Happiness)
Short-term vs. long-term
In-house vs. outsourced
Machines vs. DevOps
Cost
How many nines?
What’s the cost of an extra 9?
The Christmas Eve Paradigm
Availability
Are you ready to be big?
What is the probability of that happening and its cost?
Scalability
How much does speed matter?
Speed
Better safe than sorry
Security
What does that depend on?
● Developing velocity
● Impact
● Inversely correlated with probability of
being paged in the middle of the night
DevOps Happiness
The CASSSH Dilemma
Lessons Learned:
CASSSH in a
Lean Innovation
Environment
Cost? What cost?
Lesson 1
Quality pays off
Lesson 2
Lesson 2
Average Velocity
Average Velocity
Quality pays off
Lesson 2
Quality pays off
Average Velocity
Average Velocity
Lesson 2
Quality pays off -
Technical Debt
Everything (including CASSSH
dimensions) can be tested
Lesson 3
When things break:
Alerts are not notifications
Lesson 4
When things break:
Different shades of alerts
Lesson 4
Metrics, Metrics, Metrics
Lesson 5
Teams optimizing competing dimensions
= recipe for disaster
Lesson 6
Speed!!!Cost!!!
Teams optimizing competing dimensions
= recipe for disaster
Lesson 6
Innovation!!!Cost!!!
Everything is Production
(a.k.a. Prod is the new Dev)
Lesson 7
But...
Sometimes it helps to isolate things
Lesson 7
Conclusions
Conclusions
● Both companies and devops teams benefit from
being lean
● Being lean adds instability and risk
● Devops need to measure and optimize across the different
dimensions of CASSSH
● Lean Devops can implement processes that optimize
CASSSH and encourage innovation
Lean DevOps - Lessons Learned from Innovation-driven Companies

More Related Content

What's hot

Tips for data science competitions
Tips for data science competitionsTips for data science competitions
Tips for data science competitionsOwen Zhang
 
How i became a data scientist
How i became a data scientistHow i became a data scientist
How i became a data scientistOwen Zhang
 
Artwork Personalization at Netflix
Artwork Personalization at NetflixArtwork Personalization at Netflix
Artwork Personalization at NetflixJustin Basilico
 
Introduction to ML.NET
Introduction to ML.NETIntroduction to ML.NET
Introduction to ML.NETMarco Parenzan
 
Machine Learning for .NET Developers - ADC21
Machine Learning for .NET Developers - ADC21Machine Learning for .NET Developers - ADC21
Machine Learning for .NET Developers - ADC21Gülden Bilgütay
 
General Tips for participating Kaggle Competitions
General Tips for participating Kaggle CompetitionsGeneral Tips for participating Kaggle Competitions
General Tips for participating Kaggle CompetitionsMark Peng
 
MLSEV Virtual. Applying Topic Modelling to improve Operations
MLSEV Virtual. Applying Topic Modelling to improve OperationsMLSEV Virtual. Applying Topic Modelling to improve Operations
MLSEV Virtual. Applying Topic Modelling to improve OperationsBigML, Inc
 
Winning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangWinning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangVivian S. Zhang
 
The path to be a data scientist
The path to be a data scientistThe path to be a data scientist
The path to be a data scientistPoo Kuan Hoong
 
Explainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableExplainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableAditya Bhattacharya
 
Winning data science competitions
Winning data science competitionsWinning data science competitions
Winning data science competitionsOwen Zhang
 
Deep Learning for Natural Language Processing
Deep Learning for Natural Language ProcessingDeep Learning for Natural Language Processing
Deep Learning for Natural Language ProcessingDevashish Shanker
 
Common Problems in Hyperparameter Optimization
Common Problems in Hyperparameter OptimizationCommon Problems in Hyperparameter Optimization
Common Problems in Hyperparameter OptimizationSigOpt
 
Training methdology testers to developers
Training methdology   testers to developersTraining methdology   testers to developers
Training methdology testers to developersGurumurthy Ramamurthy
 
Aaa ped-1- Python: Introduction to AI, Python and Colab
Aaa ped-1- Python: Introduction to AI, Python and ColabAaa ped-1- Python: Introduction to AI, Python and Colab
Aaa ped-1- Python: Introduction to AI, Python and ColabAminaRepo
 
Level Up Your Automated Tests
Level Up Your Automated TestsLevel Up Your Automated Tests
Level Up Your Automated TestsTrisha Gee
 
Dancing for a product release
Dancing for a product releaseDancing for a product release
Dancing for a product releaseLaurent Cerveau
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data ScienceNiko Vuokko
 
Microsoft azure machine learning
Microsoft azure machine learningMicrosoft azure machine learning
Microsoft azure machine learningAmol Gholap
 

What's hot (20)

Tips for data science competitions
Tips for data science competitionsTips for data science competitions
Tips for data science competitions
 
How i became a data scientist
How i became a data scientistHow i became a data scientist
How i became a data scientist
 
Artwork Personalization at Netflix
Artwork Personalization at NetflixArtwork Personalization at Netflix
Artwork Personalization at Netflix
 
Introduction to ML.NET
Introduction to ML.NETIntroduction to ML.NET
Introduction to ML.NET
 
Machine Learning for .NET Developers - ADC21
Machine Learning for .NET Developers - ADC21Machine Learning for .NET Developers - ADC21
Machine Learning for .NET Developers - ADC21
 
General Tips for participating Kaggle Competitions
General Tips for participating Kaggle CompetitionsGeneral Tips for participating Kaggle Competitions
General Tips for participating Kaggle Competitions
 
MLSEV Virtual. Applying Topic Modelling to improve Operations
MLSEV Virtual. Applying Topic Modelling to improve OperationsMLSEV Virtual. Applying Topic Modelling to improve Operations
MLSEV Virtual. Applying Topic Modelling to improve Operations
 
Winning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangWinning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen Zhang
 
Machine Learning for Dummies
Machine Learning for DummiesMachine Learning for Dummies
Machine Learning for Dummies
 
The path to be a data scientist
The path to be a data scientistThe path to be a data scientist
The path to be a data scientist
 
Explainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableExplainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretable
 
Winning data science competitions
Winning data science competitionsWinning data science competitions
Winning data science competitions
 
Deep Learning for Natural Language Processing
Deep Learning for Natural Language ProcessingDeep Learning for Natural Language Processing
Deep Learning for Natural Language Processing
 
Common Problems in Hyperparameter Optimization
Common Problems in Hyperparameter OptimizationCommon Problems in Hyperparameter Optimization
Common Problems in Hyperparameter Optimization
 
Training methdology testers to developers
Training methdology   testers to developersTraining methdology   testers to developers
Training methdology testers to developers
 
Aaa ped-1- Python: Introduction to AI, Python and Colab
Aaa ped-1- Python: Introduction to AI, Python and ColabAaa ped-1- Python: Introduction to AI, Python and Colab
Aaa ped-1- Python: Introduction to AI, Python and Colab
 
Level Up Your Automated Tests
Level Up Your Automated TestsLevel Up Your Automated Tests
Level Up Your Automated Tests
 
Dancing for a product release
Dancing for a product releaseDancing for a product release
Dancing for a product release
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Microsoft azure machine learning
Microsoft azure machine learningMicrosoft azure machine learning
Microsoft azure machine learning
 

Viewers also liked

Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...
Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...
Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...Xavier Amatriain
 
MLConf Seattle 2015 - ML@Quora
MLConf Seattle 2015 - ML@QuoraMLConf Seattle 2015 - ML@Quora
MLConf Seattle 2015 - ML@QuoraXavier Amatriain
 
BIG2016- Lessons Learned from building real-life user-focused Big Data systems
BIG2016- Lessons Learned from building real-life user-focused Big Data systemsBIG2016- Lessons Learned from building real-life user-focused Big Data systems
BIG2016- Lessons Learned from building real-life user-focused Big Data systemsXavier Amatriain
 
Machine Learning for Q&A Sites: The Quora Example
Machine Learning for Q&A Sites: The Quora ExampleMachine Learning for Q&A Sites: The Quora Example
Machine Learning for Q&A Sites: The Quora ExampleXavier Amatriain
 
Past, present, and future of Recommender Systems: an industry perspective
Past, present, and future of Recommender Systems: an industry perspectivePast, present, and future of Recommender Systems: an industry perspective
Past, present, and future of Recommender Systems: an industry perspectiveXavier Amatriain
 
Past present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectivePast present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectiveXavier Amatriain
 
Strata 2016 - Lessons Learned from building real-life Machine Learning Systems
Strata 2016 -  Lessons Learned from building real-life Machine Learning SystemsStrata 2016 -  Lessons Learned from building real-life Machine Learning Systems
Strata 2016 - Lessons Learned from building real-life Machine Learning SystemsXavier Amatriain
 
Staying Shallow & Lean in a Deep Learning World
Staying Shallow & Lean in a Deep Learning WorldStaying Shallow & Lean in a Deep Learning World
Staying Shallow & Lean in a Deep Learning WorldXavier Amatriain
 
Recsys 2014 Tutorial - The Recommender Problem Revisited
Recsys 2014 Tutorial - The Recommender Problem RevisitedRecsys 2014 Tutorial - The Recommender Problem Revisited
Recsys 2014 Tutorial - The Recommender Problem RevisitedXavier Amatriain
 
Barcelona ML Meetup - Lessons Learned
Barcelona ML Meetup - Lessons LearnedBarcelona ML Meetup - Lessons Learned
Barcelona ML Meetup - Lessons LearnedXavier Amatriain
 
Machine Learning to Grow the World's Knowledge
Machine Learning to Grow  the World's KnowledgeMachine Learning to Grow  the World's Knowledge
Machine Learning to Grow the World's KnowledgeXavier Amatriain
 
10 more lessons learned from building Machine Learning systems - MLConf
10 more lessons learned from building Machine Learning systems - MLConf10 more lessons learned from building Machine Learning systems - MLConf
10 more lessons learned from building Machine Learning systems - MLConfXavier Amatriain
 
10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning Systems10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning SystemsXavier Amatriain
 
everything I needed to know about innovation, I learned by drawing cartoons
everything I needed to know about innovation, I learned by drawing cartoonseverything I needed to know about innovation, I learned by drawing cartoons
everything I needed to know about innovation, I learned by drawing cartoonstomfishburne
 
Koolielu 2.0: next generation educational portal
Koolielu 2.0: next generation educational portalKoolielu 2.0: next generation educational portal
Koolielu 2.0: next generation educational portalMart Laanpere
 
e-learning_presentation_nov_2010
e-learning_presentation_nov_2010e-learning_presentation_nov_2010
e-learning_presentation_nov_2010Cecilia Lavena
 
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...New Relic
 
Learning portals, Repositories, Infrastructures
Learning portals, Repositories, InfrastructuresLearning portals, Repositories, Infrastructures
Learning portals, Repositories, InfrastructuresNikos Manouselis
 
Learning Portals: Transforming the Learner Experience
Learning Portals: Transforming the Learner ExperienceLearning Portals: Transforming the Learner Experience
Learning Portals: Transforming the Learner ExperienceNetDimensions
 
Technology In Classroom Settings 1
Technology In Classroom Settings 1Technology In Classroom Settings 1
Technology In Classroom Settings 1adrianavp
 

Viewers also liked (20)

Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...
Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...
Recsys 2016 tutorial: Lessons learned from building real-life recommender sys...
 
MLConf Seattle 2015 - ML@Quora
MLConf Seattle 2015 - ML@QuoraMLConf Seattle 2015 - ML@Quora
MLConf Seattle 2015 - ML@Quora
 
BIG2016- Lessons Learned from building real-life user-focused Big Data systems
BIG2016- Lessons Learned from building real-life user-focused Big Data systemsBIG2016- Lessons Learned from building real-life user-focused Big Data systems
BIG2016- Lessons Learned from building real-life user-focused Big Data systems
 
Machine Learning for Q&A Sites: The Quora Example
Machine Learning for Q&A Sites: The Quora ExampleMachine Learning for Q&A Sites: The Quora Example
Machine Learning for Q&A Sites: The Quora Example
 
Past, present, and future of Recommender Systems: an industry perspective
Past, present, and future of Recommender Systems: an industry perspectivePast, present, and future of Recommender Systems: an industry perspective
Past, present, and future of Recommender Systems: an industry perspective
 
Past present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectivePast present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry Perspective
 
Strata 2016 - Lessons Learned from building real-life Machine Learning Systems
Strata 2016 -  Lessons Learned from building real-life Machine Learning SystemsStrata 2016 -  Lessons Learned from building real-life Machine Learning Systems
Strata 2016 - Lessons Learned from building real-life Machine Learning Systems
 
Staying Shallow & Lean in a Deep Learning World
Staying Shallow & Lean in a Deep Learning WorldStaying Shallow & Lean in a Deep Learning World
Staying Shallow & Lean in a Deep Learning World
 
Recsys 2014 Tutorial - The Recommender Problem Revisited
Recsys 2014 Tutorial - The Recommender Problem RevisitedRecsys 2014 Tutorial - The Recommender Problem Revisited
Recsys 2014 Tutorial - The Recommender Problem Revisited
 
Barcelona ML Meetup - Lessons Learned
Barcelona ML Meetup - Lessons LearnedBarcelona ML Meetup - Lessons Learned
Barcelona ML Meetup - Lessons Learned
 
Machine Learning to Grow the World's Knowledge
Machine Learning to Grow  the World's KnowledgeMachine Learning to Grow  the World's Knowledge
Machine Learning to Grow the World's Knowledge
 
10 more lessons learned from building Machine Learning systems - MLConf
10 more lessons learned from building Machine Learning systems - MLConf10 more lessons learned from building Machine Learning systems - MLConf
10 more lessons learned from building Machine Learning systems - MLConf
 
10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning Systems10 Lessons Learned from Building Machine Learning Systems
10 Lessons Learned from Building Machine Learning Systems
 
everything I needed to know about innovation, I learned by drawing cartoons
everything I needed to know about innovation, I learned by drawing cartoonseverything I needed to know about innovation, I learned by drawing cartoons
everything I needed to know about innovation, I learned by drawing cartoons
 
Koolielu 2.0: next generation educational portal
Koolielu 2.0: next generation educational portalKoolielu 2.0: next generation educational portal
Koolielu 2.0: next generation educational portal
 
e-learning_presentation_nov_2010
e-learning_presentation_nov_2010e-learning_presentation_nov_2010
e-learning_presentation_nov_2010
 
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...
FUTURESTACK13: Mobile Apps, A DevOps Way from Jonathan Karon, Engineering Man...
 
Learning portals, Repositories, Infrastructures
Learning portals, Repositories, InfrastructuresLearning portals, Repositories, Infrastructures
Learning portals, Repositories, Infrastructures
 
Learning Portals: Transforming the Learner Experience
Learning Portals: Transforming the Learner ExperienceLearning Portals: Transforming the Learner Experience
Learning Portals: Transforming the Learner Experience
 
Technology In Classroom Settings 1
Technology In Classroom Settings 1Technology In Classroom Settings 1
Technology In Classroom Settings 1
 

Similar to Lean DevOps - Lessons Learned from Innovation-driven Companies

Java Forum Nord 2015 - Swimming upstream in the container revolution
Java Forum Nord 2015 - Swimming upstream in the container revolutionJava Forum Nord 2015 - Swimming upstream in the container revolution
Java Forum Nord 2015 - Swimming upstream in the container revolutionBert Jan Schrijver
 
Geecon Microservices 2015 - Swimming upstream in the container revolution
Geecon Microservices 2015 - Swimming upstream in the container revolutionGeecon Microservices 2015 - Swimming upstream in the container revolution
Geecon Microservices 2015 - Swimming upstream in the container revolutionBert Jan Schrijver
 
Devoxx BE 2015 - Swimming upstream in the container revolution
Devoxx BE 2015 - Swimming upstream in the container revolutionDevoxx BE 2015 - Swimming upstream in the container revolution
Devoxx BE 2015 - Swimming upstream in the container revolutionBert Jan Schrijver
 
EuregJUG 2016-01-07 - Swimming upstream in the container revolution
EuregJUG 2016-01-07 - Swimming upstream in the container revolutionEuregJUG 2016-01-07 - Swimming upstream in the container revolution
EuregJUG 2016-01-07 - Swimming upstream in the container revolutionBert Jan Schrijver
 
JavaOne 2015 - Swimming upstream in the container revolution
JavaOne 2015 - Swimming upstream in the container revolutionJavaOne 2015 - Swimming upstream in the container revolution
JavaOne 2015 - Swimming upstream in the container revolutionBert Jan Schrijver
 
Continuous Deployment
Continuous DeploymentContinuous Deployment
Continuous DeploymentBrian Henerey
 
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8Optimizely
 
DevOps - Understanding Core Concepts
DevOps - Understanding Core ConceptsDevOps - Understanding Core Concepts
DevOps - Understanding Core ConceptsNitin Bhide
 
DevOps for the Discouraged
DevOps for the Discouraged DevOps for the Discouraged
DevOps for the Discouraged James Wickett
 
Open Mastery: Let's Conquer the Challenges of the Industry!
Open Mastery: Let's Conquer the Challenges of the Industry!Open Mastery: Let's Conquer the Challenges of the Industry!
Open Mastery: Let's Conquer the Challenges of the Industry!Arty Starr
 
Software Development 2020 - Swimming upstream in the container revolution
Software Development 2020 - Swimming upstream in the container revolutionSoftware Development 2020 - Swimming upstream in the container revolution
Software Development 2020 - Swimming upstream in the container revolutionBert Jan Schrijver
 
Swimming upstream in the container revolution
Swimming upstream in the container revolutionSwimming upstream in the container revolution
Swimming upstream in the container revolutionnextbuild
 
NextBuild 2015 - Swimming upstream in the container revolution
NextBuild 2015 - Swimming upstream in the container revolutionNextBuild 2015 - Swimming upstream in the container revolution
NextBuild 2015 - Swimming upstream in the container revolutionBert Jan Schrijver
 
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...Amazon Web Services
 
The Lean Startup EA edition
The Lean Startup EA editionThe Lean Startup EA edition
The Lean Startup EA editionEric Ries
 
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...Gene Kim
 
DevOps Kaizen: Practical Steps to Start & Sustain a Transformation
DevOps Kaizen: Practical Steps to Start & Sustain a TransformationDevOps Kaizen: Practical Steps to Start & Sustain a Transformation
DevOps Kaizen: Practical Steps to Start & Sustain a Transformationdev2ops
 
Pushing the Bottleneck: Predicting and Addressing the Next, Next Thing
Pushing the Bottleneck: Predicting and Addressing the Next, Next ThingPushing the Bottleneck: Predicting and Addressing the Next, Next Thing
Pushing the Bottleneck: Predicting and Addressing the Next, Next ThingIBM UrbanCode Products
 

Similar to Lean DevOps - Lessons Learned from Innovation-driven Companies (20)

Java Forum Nord 2015 - Swimming upstream in the container revolution
Java Forum Nord 2015 - Swimming upstream in the container revolutionJava Forum Nord 2015 - Swimming upstream in the container revolution
Java Forum Nord 2015 - Swimming upstream in the container revolution
 
Geecon Microservices 2015 - Swimming upstream in the container revolution
Geecon Microservices 2015 - Swimming upstream in the container revolutionGeecon Microservices 2015 - Swimming upstream in the container revolution
Geecon Microservices 2015 - Swimming upstream in the container revolution
 
Devoxx BE 2015 - Swimming upstream in the container revolution
Devoxx BE 2015 - Swimming upstream in the container revolutionDevoxx BE 2015 - Swimming upstream in the container revolution
Devoxx BE 2015 - Swimming upstream in the container revolution
 
EuregJUG 2016-01-07 - Swimming upstream in the container revolution
EuregJUG 2016-01-07 - Swimming upstream in the container revolutionEuregJUG 2016-01-07 - Swimming upstream in the container revolution
EuregJUG 2016-01-07 - Swimming upstream in the container revolution
 
JavaOne 2015 - Swimming upstream in the container revolution
JavaOne 2015 - Swimming upstream in the container revolutionJavaOne 2015 - Swimming upstream in the container revolution
JavaOne 2015 - Swimming upstream in the container revolution
 
Continuous Deployment
Continuous DeploymentContinuous Deployment
Continuous Deployment
 
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8
 
DevOps Game at SGZA
DevOps Game at SGZADevOps Game at SGZA
DevOps Game at SGZA
 
DevOps - Understanding Core Concepts
DevOps - Understanding Core ConceptsDevOps - Understanding Core Concepts
DevOps - Understanding Core Concepts
 
DevOps for the Discouraged
DevOps for the Discouraged DevOps for the Discouraged
DevOps for the Discouraged
 
Open Mastery: Let's Conquer the Challenges of the Industry!
Open Mastery: Let's Conquer the Challenges of the Industry!Open Mastery: Let's Conquer the Challenges of the Industry!
Open Mastery: Let's Conquer the Challenges of the Industry!
 
Software Development 2020 - Swimming upstream in the container revolution
Software Development 2020 - Swimming upstream in the container revolutionSoftware Development 2020 - Swimming upstream in the container revolution
Software Development 2020 - Swimming upstream in the container revolution
 
Swimming upstream in the container revolution
Swimming upstream in the container revolutionSwimming upstream in the container revolution
Swimming upstream in the container revolution
 
NextBuild 2015 - Swimming upstream in the container revolution
NextBuild 2015 - Swimming upstream in the container revolutionNextBuild 2015 - Swimming upstream in the container revolution
NextBuild 2015 - Swimming upstream in the container revolution
 
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...
AWS re:Invent 2016: Lift and Evolve – Saving Money in the Cloud is Easy, Maki...
 
The Lean Startup EA edition
The Lean Startup EA editionThe Lean Startup EA edition
The Lean Startup EA edition
 
Dev ops from within
Dev ops from withinDev ops from within
Dev ops from within
 
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...
DOES15 - Damon Edwards - DevOps Kaizen Practical Steps to Start & Sustain a T...
 
DevOps Kaizen: Practical Steps to Start & Sustain a Transformation
DevOps Kaizen: Practical Steps to Start & Sustain a TransformationDevOps Kaizen: Practical Steps to Start & Sustain a Transformation
DevOps Kaizen: Practical Steps to Start & Sustain a Transformation
 
Pushing the Bottleneck: Predicting and Addressing the Next, Next Thing
Pushing the Bottleneck: Predicting and Addressing the Next, Next ThingPushing the Bottleneck: Predicting and Addressing the Next, Next Thing
Pushing the Bottleneck: Predicting and Addressing the Next, Next Thing
 

More from Xavier Amatriain

Data/AI driven product development: from video streaming to telehealth
Data/AI driven product development: from video streaming to telehealthData/AI driven product development: from video streaming to telehealth
Data/AI driven product development: from video streaming to telehealthXavier Amatriain
 
AI-driven product innovation: from Recommender Systems to COVID-19
AI-driven product innovation: from Recommender Systems to COVID-19AI-driven product innovation: from Recommender Systems to COVID-19
AI-driven product innovation: from Recommender Systems to COVID-19Xavier Amatriain
 
AI for COVID-19 - Q42020 update
AI for COVID-19 - Q42020 updateAI for COVID-19 - Q42020 update
AI for COVID-19 - Q42020 updateXavier Amatriain
 
AI for COVID-19: An online virtual care approach
AI for COVID-19: An online virtual care approachAI for COVID-19: An online virtual care approach
AI for COVID-19: An online virtual care approachXavier Amatriain
 
Lessons learned from building practical deep learning systems
Lessons learned from building practical deep learning systemsLessons learned from building practical deep learning systems
Lessons learned from building practical deep learning systemsXavier Amatriain
 
AI for healthcare: Scaling Access and Quality of Care for Everyone
AI for healthcare: Scaling Access and Quality of Care for EveryoneAI for healthcare: Scaling Access and Quality of Care for Everyone
AI for healthcare: Scaling Access and Quality of Care for EveryoneXavier Amatriain
 
Towards online universal quality healthcare through AI
Towards online universal quality healthcare through AITowards online universal quality healthcare through AI
Towards online universal quality healthcare through AIXavier Amatriain
 
From one to zero: Going smaller as a growth strategy
From one to zero: Going smaller as a growth strategyFrom one to zero: Going smaller as a growth strategy
From one to zero: Going smaller as a growth strategyXavier Amatriain
 
Learning to speak medicine
Learning to speak medicineLearning to speak medicine
Learning to speak medicineXavier Amatriain
 
Recommender Systems In Industry
Recommender Systems In IndustryRecommender Systems In Industry
Recommender Systems In IndustryXavier Amatriain
 
Medical advice as a Recommender System
Medical advice as a Recommender SystemMedical advice as a Recommender System
Medical advice as a Recommender SystemXavier Amatriain
 
Kdd 2014 Tutorial - the recommender problem revisited
Kdd 2014 Tutorial -  the recommender problem revisitedKdd 2014 Tutorial -  the recommender problem revisited
Kdd 2014 Tutorial - the recommender problem revisitedXavier Amatriain
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Xavier Amatriain
 
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the Cloud
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the CloudMMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the Cloud
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the CloudXavier Amatriain
 
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleQcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleXavier Amatriain
 

More from Xavier Amatriain (16)

Data/AI driven product development: from video streaming to telehealth
Data/AI driven product development: from video streaming to telehealthData/AI driven product development: from video streaming to telehealth
Data/AI driven product development: from video streaming to telehealth
 
AI-driven product innovation: from Recommender Systems to COVID-19
AI-driven product innovation: from Recommender Systems to COVID-19AI-driven product innovation: from Recommender Systems to COVID-19
AI-driven product innovation: from Recommender Systems to COVID-19
 
AI for COVID-19 - Q42020 update
AI for COVID-19 - Q42020 updateAI for COVID-19 - Q42020 update
AI for COVID-19 - Q42020 update
 
AI for COVID-19: An online virtual care approach
AI for COVID-19: An online virtual care approachAI for COVID-19: An online virtual care approach
AI for COVID-19: An online virtual care approach
 
Lessons learned from building practical deep learning systems
Lessons learned from building practical deep learning systemsLessons learned from building practical deep learning systems
Lessons learned from building practical deep learning systems
 
AI for healthcare: Scaling Access and Quality of Care for Everyone
AI for healthcare: Scaling Access and Quality of Care for EveryoneAI for healthcare: Scaling Access and Quality of Care for Everyone
AI for healthcare: Scaling Access and Quality of Care for Everyone
 
Towards online universal quality healthcare through AI
Towards online universal quality healthcare through AITowards online universal quality healthcare through AI
Towards online universal quality healthcare through AI
 
From one to zero: Going smaller as a growth strategy
From one to zero: Going smaller as a growth strategyFrom one to zero: Going smaller as a growth strategy
From one to zero: Going smaller as a growth strategy
 
Learning to speak medicine
Learning to speak medicineLearning to speak medicine
Learning to speak medicine
 
ML to cure the world
ML to cure the worldML to cure the world
ML to cure the world
 
Recommender Systems In Industry
Recommender Systems In IndustryRecommender Systems In Industry
Recommender Systems In Industry
 
Medical advice as a Recommender System
Medical advice as a Recommender SystemMedical advice as a Recommender System
Medical advice as a Recommender System
 
Kdd 2014 Tutorial - the recommender problem revisited
Kdd 2014 Tutorial -  the recommender problem revisitedKdd 2014 Tutorial -  the recommender problem revisited
Kdd 2014 Tutorial - the recommender problem revisited
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
 
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the Cloud
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the CloudMMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the Cloud
MMDS 2014 Talk - Distributing ML Algorithms: from GPUs to the Cloud
 
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleQcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
 

Recently uploaded

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...harshavardhanraghave
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
 
Test Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendTest Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendArshad QA
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...panagenda
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsArshad QA
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...MyIntelliSource, Inc.
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionSolGuruz
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Modelsaagamshah0812
 
Clustering techniques data mining book ....
Clustering techniques data mining book ....Clustering techniques data mining book ....
Clustering techniques data mining book ....ShaimaaMohamedGalal
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxComplianceQuest1
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software DevelopersVinodh Ram
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...gurkirankumar98700
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...kellynguyen01
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantAxelRicardoTrocheRiq
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdfWave PLM
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️anilsa9823
 
Active Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfActive Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfCionsystems
 
why an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfwhy an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfjoe51371421
 

Recently uploaded (20)

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Test Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and BackendTest Automation Strategy for Frontend and Backend
Test Automation Strategy for Frontend and Backend
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview Questions
 
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
Steps To Getting Up And Running Quickly With MyTimeClock Employee Scheduling ...
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
Clustering techniques data mining book ....
Clustering techniques data mining book ....Clustering techniques data mining book ....
Clustering techniques data mining book ....
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software Developers
 
Exploring iOS App Development: Simplifying the Process
Exploring iOS App Development: Simplifying the ProcessExploring iOS App Development: Simplifying the Process
Exploring iOS App Development: Simplifying the Process
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
 
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
Short Story: Unveiling the Reasoning Abilities of Large Language Models by Ke...
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service Consultant
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
 
Active Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdfActive Directory Penetration Testing, cionsystems.com.pdf
Active Directory Penetration Testing, cionsystems.com.pdf
 
why an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdfwhy an Opensea Clone Script might be your perfect match.pdf
why an Opensea Clone Script might be your perfect match.pdf
 

Lean DevOps - Lessons Learned from Innovation-driven Companies