SlideShare une entreprise Scribd logo
1  sur  38
Télécharger pour lire hors ligne
Practicing DevOps
Able to release multiple times per day
Continuously deploy to production
Feature branching strategies
New features are created in a separate branch
Main
Hotfix
Release
Dev
Feature A
Feature B
Time
Main
Reality of feature branches
Team uses long lived branches
Harder to merge
Feature can only be released
when complete
From feature branches to code branches
Main
Feature A
Feature B
if (feature.IsEnabled("NewSearchPage"))
{
// New feature implementation
}
Features in a different way
Back to “trunk based development”
Push functionality when and to whom you want
Be able to expand or “rollback“ without redeployment
Decoupling deployment from release
Why should you want feature flags?
Code branch management
Other reasons include
Original approach for a new feature
New feature is
included and
replaces old
Requires a rollback
to revert to original
code
All or nothing releases
The new ‘if’ statement
If statement
evaluates state
of feature flag
First always off Incomplete
feature can be
still be deployed
aka Toggle Router and
Feature Toggle
There might not be an
original feature
Original feature
Original feature
The new ‘if’ statement
New feature is
ready for release
Flag logic
chooses when to
route flow to
new feature
The new ‘if’ statement
Flags are released three times
Flag logic needs
to be removed
Feature flag categories
Release Operations Experiment Permission
• Performance
related
• Manual circuit
breakers
Short
to long-lived
• On/Off
Kill-switch
• Testing
scenarios
• Dynamic
Short lived
• Percentage
• Time Window
• Deploy
incomplete
code
• Time release
Short-lived
• On
• Off
• Percentage
• Targeted users
• Defining
cohorts
User or
request based
• Claims
• Cookies
• Tenant
Feature management
Rules and settings for evaluation in feature toggle
Application
Logic
Rules
Evaluates and
filters on
certain
conditions
Settings
Determines
flag state
Multiple
parameters
Feature context
Named key-value pairs
Different per environment
Feature Value
LeaderboardListLimit On
APIv2 Parameters
BetaWebsite Opt-in
Feature Value
LeaderboardListLimit Off
APIv2 Off
BetaWebsite Opt-in
Feature Value
LeaderboardListLimit On
APIv2 Off
BetaWebsite Opt-in
Ingredients for feature management
In process service for evaluation
Externalized storage of key/value pairs
Tools and platforms for feature management
Microsoft .NET Feature Management
RimDev.AspNetCore.FeatureFlags
NFeature (GPL)
Feature Toggle (Apache 2.0)
Feature Switcher (Apache 2.0)
FlipIt (Apache 2.0)
Software as a Service Application Frameworks
Esquio
Platform as a Service
Health and metrics
Telemetry is crucial to know about system stability
Absence of errors is not sufficient
Telemetry
Essential to monitor your solution when toggling
PASS
PASS PASS PASS PASS FAIL
PASS PASS PASS
FAIL FAIL FAIL FAIL
FAIL
FAIL FAIL
Gates indicate success
Deployment still rejected
Gate 1
Gate 2
Gate 3
Stabilization time Timeout
Sampling interval
PASS
PASS
Approve
PASS
Telemetry
Essential to monitor your solution when toggling
PASS
PASS PASS PASS PASS FAIL
PASS PASS PASS
FAIL FAIL FAIL FAIL
FAIL
FAIL FAIL
Reject
Gates indicate success
Deployment still rejected
Gate 1
Gate 2
Gate 3
Stabilization time Timeout
Sampling interval
PASS
FAIL FAIL FAIL FAIL
PASS
PASS PASS
PASS
PASS
PASS
PASS
PASS
PASS
Development cycle with feature flags
Deploy Release
Gives more autonomy
Flags introduce technical debt
Gradually exposing and releasing
Rings
Gradually increase blast radius
Deployment:
Feature:
Cohorts
Different size groups
Can offer opt-in model
Early Adopters
Canary
Combe deployment rings and release flags
Progressively reveal and expose features using flags
Blast radius of feature flags state
Same principles as deployment
Pipelines with approval and gates for flags
Gates
Check performance
metrics and alerts
Allow or disallow
next stage by
approval
Gates
Check performance
metrics and alerts
Testing in production
Making it real
QA and UAT
where it
matters
Test strategies
A|B testing Dark launching Canary releases
A|B testing (aka split testing)
Combine feature flag with experiment led by hypothesis
Increase percentage that has feature enabled
Measure results, outcome and gather feedback
Previously: Routing to two different implementations
Now: Percentage filter in single implementation
Dealing with technical debt
Lifecycle of flag
Remove
Smells
Too many flags
Flags used in multiple places
Fine grained toggles
Toggling business value vs
technical capabilities
Pitfalls
Combine feature toggles
Complexity
Dependent flags (one flag depends on other one)
Long lived
Launching in the blind (no monitoring)
Unseparated control
Don’t describe what toggle does
Repurposing feature flags
Best practices
Avoid flags as long-lived functionality
Separate flag management from app
Monitor usage of flags
Enable just one toggle at a time
Tips and recommendations
Add hardcoded fallback
Start with master flags and add smaller flags later
Define naming convention for flags
Questions and Answers
Maybe later?
@alexthissen
athissen@xpirit.com
Resources
https://martinfowler.com/articles/feature-toggles.html
https://opensource.com/article/18/2/feature-flags-ring-deployment-model
https://docs.microsoft.com/en-us/azure/devops/migrate/phase-features-with-feature-flags
https://dougseven.com/2014/04/17/knightmare-a-devops-cautionary-tale/
https://featureflags.io/
https://github.com/microsoft/FeatureManagement-Dotnet
https://github.com/alexthissen/featuremanagement
https://github.com/Azure/AppConfiguration
https://docs.microsoft.com/en-us/azure/azure-app-configuration/use-feature-flags-dotnet-core

Contenu connexe

Similaire à "Flagging your features — a DevOps approach to continuous release", Alex Thissen

Azure DevOps for JavaScript Developers
Azure DevOps for JavaScript DevelopersAzure DevOps for JavaScript Developers
Azure DevOps for JavaScript DevelopersSarah Dutkiewicz
 
Agile Testing and Release Management
Agile Testing and Release ManagementAgile Testing and Release Management
Agile Testing and Release Managementcraigparsons77
 
Testware Hierarchy for Test Automation
Testware Hierarchy for Test AutomationTestware Hierarchy for Test Automation
Testware Hierarchy for Test AutomationGregory Solovey
 
Launch safely with Feature Flags
Launch safely with Feature FlagsLaunch safely with Feature Flags
Launch safely with Feature FlagsWise Engineering
 
PHPConf.asia 2016 - BDD with Behat for Beginners
PHPConf.asia 2016 - BDD with Behat for BeginnersPHPConf.asia 2016 - BDD with Behat for Beginners
PHPConf.asia 2016 - BDD with Behat for BeginnersAdam Englander
 
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...OlyaSurits
 
Fundamentals of DevOps and CI/CD
Fundamentals of DevOps and CI/CDFundamentals of DevOps and CI/CD
Fundamentals of DevOps and CI/CDBatyr Nuryyev
 
Anatomy of a Build Pipeline
Anatomy of a Build PipelineAnatomy of a Build Pipeline
Anatomy of a Build PipelineSamuel Brown
 
An Introduction to Feature Flags
An Introduction to Feature FlagsAn Introduction to Feature Flags
An Introduction to Feature FlagsCloudZenix LLC
 
Stopping the Rot - Putting Legacy C++ Under Test
Stopping the Rot - Putting Legacy C++ Under TestStopping the Rot - Putting Legacy C++ Under Test
Stopping the Rot - Putting Legacy C++ Under TestSeb Rose
 
How do you tame a big ball of mud? One test at a time.
How do you tame a big ball of mud? One test at a time.How do you tame a big ball of mud? One test at a time.
How do you tame a big ball of mud? One test at a time.Matt Eland
 
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps Deployments
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps DeploymentsDon't Deploy Into the Dark: DORA Metrics for your K8s GitOps Deployments
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps DeploymentsAndreas Grabner
 
Continuous Testing 2016
Continuous Testing 2016Continuous Testing 2016
Continuous Testing 2016Karim Fanadka
 
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...garrett honeycutt
 

Similaire à "Flagging your features — a DevOps approach to continuous release", Alex Thissen (20)

Azure DevOps for JavaScript Developers
Azure DevOps for JavaScript DevelopersAzure DevOps for JavaScript Developers
Azure DevOps for JavaScript Developers
 
Journey toward3rdplatform
Journey toward3rdplatformJourney toward3rdplatform
Journey toward3rdplatform
 
Agile Testing and Release Management
Agile Testing and Release ManagementAgile Testing and Release Management
Agile Testing and Release Management
 
Testware Hierarchy for Test Automation
Testware Hierarchy for Test AutomationTestware Hierarchy for Test Automation
Testware Hierarchy for Test Automation
 
Launch safely with Feature Flags
Launch safely with Feature FlagsLaunch safely with Feature Flags
Launch safely with Feature Flags
 
PHPConf.asia 2016 - BDD with Behat for Beginners
PHPConf.asia 2016 - BDD with Behat for BeginnersPHPConf.asia 2016 - BDD with Behat for Beginners
PHPConf.asia 2016 - BDD with Behat for Beginners
 
Advanced deployment scenarios
Advanced deployment scenariosAdvanced deployment scenarios
Advanced deployment scenarios
 
DevOps.pptx
DevOps.pptxDevOps.pptx
DevOps.pptx
 
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...
Cloud Native Testing, 2020 Edition: A Modern Blueprint for Pre-production Tes...
 
Fundamentals of DevOps and CI/CD
Fundamentals of DevOps and CI/CDFundamentals of DevOps and CI/CD
Fundamentals of DevOps and CI/CD
 
devops certification
devops certificationdevops certification
devops certification
 
devops certification
devops certificationdevops certification
devops certification
 
Anatomy of a Build Pipeline
Anatomy of a Build PipelineAnatomy of a Build Pipeline
Anatomy of a Build Pipeline
 
An Introduction to Feature Flags
An Introduction to Feature FlagsAn Introduction to Feature Flags
An Introduction to Feature Flags
 
Stopping the Rot - Putting Legacy C++ Under Test
Stopping the Rot - Putting Legacy C++ Under TestStopping the Rot - Putting Legacy C++ Under Test
Stopping the Rot - Putting Legacy C++ Under Test
 
How do you tame a big ball of mud? One test at a time.
How do you tame a big ball of mud? One test at a time.How do you tame a big ball of mud? One test at a time.
How do you tame a big ball of mud? One test at a time.
 
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps Deployments
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps DeploymentsDon't Deploy Into the Dark: DORA Metrics for your K8s GitOps Deployments
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps Deployments
 
Continuous Testing
Continuous TestingContinuous Testing
Continuous Testing
 
Continuous Testing 2016
Continuous Testing 2016Continuous Testing 2016
Continuous Testing 2016
 
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...
Continuous Deployment Pipeline for Systems at Cascadia IT Conference - 2017-0...
 

Plus de Fwdays

"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y..."How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...Fwdays
 
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil TopchiiFwdays
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
"What is a RAG system and how to build it",Dmytro Spodarets
"What is a RAG system and how to build it",Dmytro Spodarets"What is a RAG system and how to build it",Dmytro Spodarets
"What is a RAG system and how to build it",Dmytro SpodaretsFwdays
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
"Distributed graphs and microservices in Prom.ua", Maksym Kindritskyi
"Distributed graphs and microservices in Prom.ua",  Maksym Kindritskyi"Distributed graphs and microservices in Prom.ua",  Maksym Kindritskyi
"Distributed graphs and microservices in Prom.ua", Maksym KindritskyiFwdays
 
"Rethinking the existing data loading and processing process as an ETL exampl...
"Rethinking the existing data loading and processing process as an ETL exampl..."Rethinking the existing data loading and processing process as an ETL exampl...
"Rethinking the existing data loading and processing process as an ETL exampl...Fwdays
 
"How Ukrainian IT specialist can go on vacation abroad without crossing the T...
"How Ukrainian IT specialist can go on vacation abroad without crossing the T..."How Ukrainian IT specialist can go on vacation abroad without crossing the T...
"How Ukrainian IT specialist can go on vacation abroad without crossing the T...Fwdays
 
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ..."The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...Fwdays
 
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu..."[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...Fwdays
 
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care..."[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...Fwdays
 
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"..."4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...Fwdays
 
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout", Anast...
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout",  Anast..."Reconnecting with Purpose: Rediscovering Job Interest after Burnout",  Anast...
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout", Anast...Fwdays
 
"Mentoring 101: How to effectively invest experience in the success of others...
"Mentoring 101: How to effectively invest experience in the success of others..."Mentoring 101: How to effectively invest experience in the success of others...
"Mentoring 101: How to effectively invest experience in the success of others...Fwdays
 
"Mission (im) possible: How to get an offer in 2024?", Oleksandra Myronova
"Mission (im) possible: How to get an offer in 2024?",  Oleksandra Myronova"Mission (im) possible: How to get an offer in 2024?",  Oleksandra Myronova
"Mission (im) possible: How to get an offer in 2024?", Oleksandra MyronovaFwdays
 
"Why have we learned how to package products, but not how to 'package ourselv...
"Why have we learned how to package products, but not how to 'package ourselv..."Why have we learned how to package products, but not how to 'package ourselv...
"Why have we learned how to package products, but not how to 'package ourselv...Fwdays
 
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin..."How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...Fwdays
 

Plus de Fwdays (20)

"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y..."How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...
"How Preply reduced ML model development time from 1 month to 1 day",Yevhen Y...
 
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii
"GenAI Apps: Our Journey from Ideas to Production Excellence",Danil Topchii
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
"What is a RAG system and how to build it",Dmytro Spodarets
"What is a RAG system and how to build it",Dmytro Spodarets"What is a RAG system and how to build it",Dmytro Spodarets
"What is a RAG system and how to build it",Dmytro Spodarets
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
"Distributed graphs and microservices in Prom.ua", Maksym Kindritskyi
"Distributed graphs and microservices in Prom.ua",  Maksym Kindritskyi"Distributed graphs and microservices in Prom.ua",  Maksym Kindritskyi
"Distributed graphs and microservices in Prom.ua", Maksym Kindritskyi
 
"Rethinking the existing data loading and processing process as an ETL exampl...
"Rethinking the existing data loading and processing process as an ETL exampl..."Rethinking the existing data loading and processing process as an ETL exampl...
"Rethinking the existing data loading and processing process as an ETL exampl...
 
"How Ukrainian IT specialist can go on vacation abroad without crossing the T...
"How Ukrainian IT specialist can go on vacation abroad without crossing the T..."How Ukrainian IT specialist can go on vacation abroad without crossing the T...
"How Ukrainian IT specialist can go on vacation abroad without crossing the T...
 
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ..."The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...
"The Strength of Being Vulnerable: the experience from CIA, Tesla and Uber", ...
 
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu..."[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...
"[QUICK TALK] Radical candor: how to achieve results faster thanks to a cultu...
 
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care..."[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...
"[QUICK TALK] PDP Plan, the only one door to raise your salary and boost care...
 
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"..."4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...
"4 horsemen of the apocalypse of working relationships (+ antidotes to them)"...
 
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout", Anast...
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout",  Anast..."Reconnecting with Purpose: Rediscovering Job Interest after Burnout",  Anast...
"Reconnecting with Purpose: Rediscovering Job Interest after Burnout", Anast...
 
"Mentoring 101: How to effectively invest experience in the success of others...
"Mentoring 101: How to effectively invest experience in the success of others..."Mentoring 101: How to effectively invest experience in the success of others...
"Mentoring 101: How to effectively invest experience in the success of others...
 
"Mission (im) possible: How to get an offer in 2024?", Oleksandra Myronova
"Mission (im) possible: How to get an offer in 2024?",  Oleksandra Myronova"Mission (im) possible: How to get an offer in 2024?",  Oleksandra Myronova
"Mission (im) possible: How to get an offer in 2024?", Oleksandra Myronova
 
"Why have we learned how to package products, but not how to 'package ourselv...
"Why have we learned how to package products, but not how to 'package ourselv..."Why have we learned how to package products, but not how to 'package ourselv...
"Why have we learned how to package products, but not how to 'package ourselv...
 
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin..."How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...
"How to tame the dragon, or leadership with imposter syndrome", Oleksandr Zin...
 

Dernier

Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russePortal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe中 央社
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfFIDO Alliance
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandIES VE
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Hiroshi SHIBATA
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftshyamraj55
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024Lorenzo Miniero
 
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?Paolo Missier
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessUXDXConf
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingScyllaDB
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGDSC PJATK
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPTiSEO AI
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireMicrosoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireExakis Nelite
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimaginedpanagenda
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxFIDO Alliance
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform EngineeringMarcus Vechiato
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?Mark Billinghurst
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfSrushith Repakula
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...ScyllaDB
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Patrick Viafore
 

Dernier (20)

Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russePortal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024
 
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
Microsoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - QuestionnaireMicrosoft CSP Briefing Pre-Engagement - Questionnaire
Microsoft CSP Briefing Pre-Engagement - Questionnaire
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptx
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform Engineering
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 

"Flagging your features — a DevOps approach to continuous release", Alex Thissen