SlideShare ist ein Scribd-Unternehmen logo
1 von 149
Downloaden Sie, um offline zu lesen
Hello.
An example scenario
Imagine
you’re a
happy
developer
THIRDCHANNEL @svpember
Need those
Reports…
You got it.
You work furiously…
Simple Cart
Schema
A Quick,
Simple,
Task
Except,
There’s No
Data
A Year With Event Sourcing
and CQRS
Steve Pember
CTO, ThirdChannel
steve@thirdchannel.com
Software Architecture Conf, 2016
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Agenda
• CQRS
• Event Sourcing
• This Tech @ ThirdChannel
• Demo
THIRDCHANNEL @svpember
CQRS… ?
Command - Query
Responsibility Segregation
CRUD vs CQRS
CRUD /
MVC
Command
Query
Responsibility
Segregation
It all started
with…
–Eric Evans
“Some objects are not defined primarily by their attributes. They
represent a thread of identity that runs through time and often
across distinct representations. Sometimes such an object must
be matched with another object even though attributes differ.
An object must be distinguished from other objects even though
they might have the same attributes.”
THIRDCHANNEL @svpember
Domain Driven Design
• Ubiquitous Language
THIRDCHANNEL @svpember
Domain Driven Design
• Ubiquitous Language
• Entities / Value Objects
Entity:
when you
care about
identity
Value
Objects:
don’t care
about
individual
THIRDCHANNEL @svpember
Domain Driven Design
• Ubiquitous Language
• Entities / Value Objects
• Aggregates
Group of Entities with one Root
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Domain Driven Design
• Ubiquitous Language
• Entities / Value Objects
• Aggregates
• Bounded Context
THIRDCHANNEL @svpember
Objects inside an Aggregate
may hold refs to other Roots
Deleting an Aggregate also
deletes dependents
Isolate related objects into
Modules
Furthermore, No direct comms
across boundaries
THIRDCHANNEL @svpember
Domain Driven Design
• Ubiquitous Language
• Entities / Value Objects
• Aggregates
• Bounded Context
• Domain Events
THIRDCHANNEL @svpember
Events are Transactionally Safe
THIRDCHANNEL @svpember
Back to CQRS…
CQRS is an Evolution on DDD
Basis: Two Objects where there
was One
THIRDCHANNEL @svpember
But allows for Interesting and
efficient Architectures
THIRDCHANNEL @svpember
Multiple Query Caches derived
from events
–Johnny Appleseed
“Type a quote here.”
THIRDCHANNEL @svpember
When should you use
CQRS?
With Microservices
Complex Domains
High Performant Systems
Task-Based UIs
–Johnny Appleseed
“Type a quote here.”
However…
The creators
caution
against using
CQRS
THIRDCHANNEL @svpember
Ok, so how about Event
Sourcing?
What do we do with our Domain
Events?
THIRDCHANNEL @svpember
Event Sourcing
• Alternative Storage Pattern - Save Deltas
THIRDCHANNEL @svpember
Store Deltas instead of Current
State
THIRDCHANNEL @svpember
Objects are backed - ‘sourced’ -
by events
THIRDCHANNEL @svpember
Event Sourcing
• Alternative Storage Pattern - Save Deltas
• Event vs Aggregate
Event: Something which has
occurred in the system
Aggregate: from DDD!
THIRDCHANNEL @svpember
Event Sourcing
• Alternative Storage Pattern - Save Deltas
• Event vs Aggregate
• Purely Additive
There is no Delete
THIRDCHANNEL @svpember
Event Sourcing
• Alternative Storage Pattern - Save Deltas
• Event vs Aggregate
• Purely Additive
• It’s Old
THIRDCHANNEL @svpember
Event Sourcing
• Alternative Storage Pattern - Save Deltas
• Event vs Aggregate
• Purely Additive
• It’s Old
• Event Stream -> Transient Models
All Objects are Transient
Derivatives of the Event Stream
THIRDCHANNEL @svpember
Some Caveats
I’m sure you
have some
doubts.
Wouldn’t it take up a large
amount of storage space?
Wouldn’t ES add overhead?
THIRDCHANNEL @svpember
Try to avoid ‘heavy’ persistence
mechanisms
The toughest thing, though:
ES Can be
difficult for
junior
developers
THIRDCHANNEL @svpember
So Why Would I Want Event
Sourcing?
THIRDCHANNEL @svpember
So Why ES?
• More than the Perfect Audit Log
Audit logs tell the History
Events tell the intent of History
Also, You’re
now a Time
Traveller
THIRDCHANNEL @svpember
So Why ES?
• More than the Perfect Audit Log
• Only Structural Model That Does Not Lose Information
NEVER DELETE!!!
THIRDCHANNEL @svpember
So Why ES?
• More than the Perfect Audit Log
• Only Structural Model That Does Not Lose Information
• Ideal for Business Analysis
Analysis of
the Event
Stream is a
Projection
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Current State is Boring
• Mine ALL ProductRemoved events
• Find ALL ProductAdded events followed by RemovedEvents
for same product within 5 minutes
• Find Average Duration between ProductAdd and OrderPlaced
THIRDCHANNEL @svpember
Future Proof your Data!
Remember
the Sad
Developer?
With Event Sourcing…
You can see
everything
Business
Folks Love A
Good
Report
Still…
Businesses depend on
Time Series Data
THIRDCHANNEL @svpember
Mechanics and Demo
Pure Event Sourcing
3 Base Objects
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Successful Commands Result in
new Events on the Aggregate
–Johnny Appleseed
“Type a quote here.”
Loading a Query builds up
Aggregates from the Events
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Tying It All Together
CQRS & ES
–Johnny Appleseed
“Type a quote here.”
The Event Stream is the Source
of Truth.
Pre-Build Query Objects from
the Event Stream
THIRDCHANNEL @svpember
Questions So Far?
THIRDCHANNEL @svpember
What have we learned
@ThirdChannel?
THIRDCHANNEL @svpember
There are few available tools …
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Akka & Akka Persistance
THIRDCHANNEL @svpember
…and we used none of them
–Johnny Appleseed
“Type a quote here.”
THIRDCHANNEL @svpember
Commands & Queries
immediately felt like a perfect fit
…and make sure you append
your class names with
‘Command’ and ‘Query’
Query - based Views are an
efficiency gain
Query Read Models should be
able to be freely trashed and
rebuilt
We’ve still not run into
Aggregate write contention
THIRDCHANNEL @svpember
Save Every Event
You really don’t need snapshots
(at first)
Be Wary of Editing an Event
Small Events > Large Events
This is Not…
Great.
A Bit Better
This next bit is important
Pure Event Sourcing Is Not
Always The Best Choice
Include a ‘dateEffective’
field on the Event table
Add Current-State, Indexed,
Columns to your Aggregates
And Make Many of Them
THIRDCHANNEL @svpember
Demo Time
THIRDCHANNEL @svpember
Thank You!
THIRDCHANNEL @svpember
THIRDCHANNEL @svpember
Image Credits
• Mad Developers: Last Week Tonight
• CQRS Diagram: http://udidahan.com/2009/12/09/clarified-cqrs/
• Happy Developers: http://www.businessinsider.com/programming-languages-in-highest-demand-2015-6
• Obama Thumbs up: http://amiloszportraits.com/barack-obama-thumbs-up-meme
• Who am i?: http://www.catholicismusa.com/want-joy-seek-god-find-your-true-identity/
• Star Trek face palm: http://tvtropes.org/pmwiki/pmwiki.php/FacePalm/LiveActionTV
• Sauron’s Eye: http://www.independent.co.uk/arts-entertainment/architecture/russian-orthodox-church-condemns-
moscows-eye-of-sauron-art-installation-celebrating-the-hobbit-the-9915050.html
• Grain of Salt: http://www.pxleyes.com/photography-picture/4c3004291f903/Grain-of-Salt.html
• Obama, Nye, and Tyson: en.wikipedia.org/wiki/Selfie

Weitere ähnliche Inhalte

Was ist angesagt?

Service mesh(istio) monitoring
Service mesh(istio) monitoringService mesh(istio) monitoring
Service mesh(istio) monitoringJeong-Ho Na
 
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion Records
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion RecordsScylla Summit 2022: How to Migrate a Counter Table for 68 Billion Records
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion RecordsScyllaDB
 
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online SeriesAmazon Web Services Korea
 
CQRS + Event Sourcing
CQRS + Event SourcingCQRS + Event Sourcing
CQRS + Event SourcingMike Bild
 
Big Data Redis Mongodb Dynamodb Sharding
Big Data Redis Mongodb Dynamodb ShardingBig Data Redis Mongodb Dynamodb Sharding
Big Data Redis Mongodb Dynamodb ShardingAraf Karsh Hamid
 
Introduction to Apache Camel
Introduction to Apache CamelIntroduction to Apache Camel
Introduction to Apache CamelClaus Ibsen
 
Kubernetes Concepts And Architecture Powerpoint Presentation Slides
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesKubernetes Concepts And Architecture Powerpoint Presentation Slides
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
 
Kafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKai Wähner
 
ksqlDB로 실시간 데이터 변환 및 스트림 처리
ksqlDB로 실시간 데이터 변환 및 스트림 처리ksqlDB로 실시간 데이터 변환 및 스트림 처리
ksqlDB로 실시간 데이터 변환 및 스트림 처리confluent
 
Kubernetes #1 intro
Kubernetes #1   introKubernetes #1   intro
Kubernetes #1 introTerry Cho
 
Introduction to Azure
Introduction to AzureIntroduction to Azure
Introduction to AzureRobert Crane
 
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018Amazon Web Services Korea
 
쿠버네티스 ( Kubernetes ) 소개 자료
쿠버네티스 ( Kubernetes ) 소개 자료쿠버네티스 ( Kubernetes ) 소개 자료
쿠버네티스 ( Kubernetes ) 소개 자료Opennaru, inc.
 
Microsoft Azure Fundamentals
Microsoft Azure FundamentalsMicrosoft Azure Fundamentals
Microsoft Azure FundamentalsAdwait Ullal
 
Azure Introduction
Azure IntroductionAzure Introduction
Azure Introductionbrunoterkaly
 
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...AWSKRUG - AWS한국사용자모임
 
Spring cloud on kubernetes
Spring cloud on kubernetesSpring cloud on kubernetes
Spring cloud on kubernetesSangSun Park
 
Understanding MicroSERVICE Architecture with Java & Spring Boot
Understanding MicroSERVICE Architecture with Java & Spring BootUnderstanding MicroSERVICE Architecture with Java & Spring Boot
Understanding MicroSERVICE Architecture with Java & Spring BootKashif Ali Siddiqui
 

Was ist angesagt? (20)

Service mesh(istio) monitoring
Service mesh(istio) monitoringService mesh(istio) monitoring
Service mesh(istio) monitoring
 
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion Records
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion RecordsScylla Summit 2022: How to Migrate a Counter Table for 68 Billion Records
Scylla Summit 2022: How to Migrate a Counter Table for 68 Billion Records
 
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series
데이터베이스 운영, 서버리스로 걱정 끝! - 윤석찬, AWS 테크에반젤리스트 - AWS Builders Online Series
 
CQRS + Event Sourcing
CQRS + Event SourcingCQRS + Event Sourcing
CQRS + Event Sourcing
 
Big Data Redis Mongodb Dynamodb Sharding
Big Data Redis Mongodb Dynamodb ShardingBig Data Redis Mongodb Dynamodb Sharding
Big Data Redis Mongodb Dynamodb Sharding
 
Introduction to Apache Camel
Introduction to Apache CamelIntroduction to Apache Camel
Introduction to Apache Camel
 
Kubernetes Concepts And Architecture Powerpoint Presentation Slides
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesKubernetes Concepts And Architecture Powerpoint Presentation Slides
Kubernetes Concepts And Architecture Powerpoint Presentation Slides
 
Kafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid Cloud
 
ksqlDB로 실시간 데이터 변환 및 스트림 처리
ksqlDB로 실시간 데이터 변환 및 스트림 처리ksqlDB로 실시간 데이터 변환 및 스트림 처리
ksqlDB로 실시간 데이터 변환 및 스트림 처리
 
Kubernetes #1 intro
Kubernetes #1   introKubernetes #1   intro
Kubernetes #1 intro
 
Introduction to Azure
Introduction to AzureIntroduction to Azure
Introduction to Azure
 
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018
게임 서비스를 위한 AWS상의 고성능 SQL 데이터베이스 구성 (이정훈 솔루션즈 아키텍트, AWS) :: Gaming on AWS 2018
 
Azure storage
Azure storageAzure storage
Azure storage
 
쿠버네티스 ( Kubernetes ) 소개 자료
쿠버네티스 ( Kubernetes ) 소개 자료쿠버네티스 ( Kubernetes ) 소개 자료
쿠버네티스 ( Kubernetes ) 소개 자료
 
Microsoft Azure Fundamentals
Microsoft Azure FundamentalsMicrosoft Azure Fundamentals
Microsoft Azure Fundamentals
 
Azure Introduction
Azure IntroductionAzure Introduction
Azure Introduction
 
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...
Athena & Step Function 으로 통계 파이프라인 구축하기 - 변규현 (당근마켓) :: AWS Community Day Onl...
 
Azure redis cache
Azure redis cacheAzure redis cache
Azure redis cache
 
Spring cloud on kubernetes
Spring cloud on kubernetesSpring cloud on kubernetes
Spring cloud on kubernetes
 
Understanding MicroSERVICE Architecture with Java & Spring Boot
Understanding MicroSERVICE Architecture with Java & Spring BootUnderstanding MicroSERVICE Architecture with Java & Spring Boot
Understanding MicroSERVICE Architecture with Java & Spring Boot
 

Ähnlich wie A year with event sourcing and CQRS

Gr8conf US 2015 - Intro to Event Sourcing with Groovy
Gr8conf US 2015 - Intro to Event Sourcing with GroovyGr8conf US 2015 - Intro to Event Sourcing with Groovy
Gr8conf US 2015 - Intro to Event Sourcing with GroovySteve Pember
 
Richer data-history-event-sourcing
Richer data-history-event-sourcingRicher data-history-event-sourcing
Richer data-history-event-sourcingSteve Pember
 
My first year with event sourcing.dpc.
My first year with event sourcing.dpc.My first year with event sourcing.dpc.
My first year with event sourcing.dpc.Tim Huijzers
 
My first year with event sourcing amersfoort 12-06-2018
My first year with event sourcing amersfoort 12-06-2018My first year with event sourcing amersfoort 12-06-2018
My first year with event sourcing amersfoort 12-06-2018Tim Huijzers
 
My first year with event sourcing
My first year with event sourcingMy first year with event sourcing
My first year with event sourcingTim Huijzers
 
Event storage in a distributed system
Event storage in a distributed systemEvent storage in a distributed system
Event storage in a distributed systemSteve Pember
 
My first year with event sourcing-symfonycon
My first year with event sourcing-symfonyconMy first year with event sourcing-symfonycon
My first year with event sourcing-symfonyconTim Huijzers
 
Creating a Single Source of Truth: Leverage all of your data with powerful an...
Creating a Single Source of Truth: Leverage all of your data with powerful an...Creating a Single Source of Truth: Leverage all of your data with powerful an...
Creating a Single Source of Truth: Leverage all of your data with powerful an...Looker
 
My first year with event sourcing-nijmegen
My first year with event sourcing-nijmegenMy first year with event sourcing-nijmegen
My first year with event sourcing-nijmegenTim Huijzers
 
Practical deep learning for computer vision
Practical deep learning for computer visionPractical deep learning for computer vision
Practical deep learning for computer visionEran Shlomo
 
Reactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovyReactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovySteve Pember
 
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, Europe
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, EuropePatterns of the Lambda Architecture -- 2015 April - Hadoop Summit, Europe
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, EuropeFlip Kromer
 
Understanding event data
Understanding event dataUnderstanding event data
Understanding event datayalisassoon
 
Simplify Your Life with CQRS
Simplify Your Life with CQRSSimplify Your Life with CQRS
Simplify Your Life with CQRSJoel Mason
 
Big data meetup budapest adding data schemas to snowplow
Big data meetup budapest   adding data schemas to snowplowBig data meetup budapest   adding data schemas to snowplow
Big data meetup budapest adding data schemas to snowplowyalisassoon
 
Using MLOps to Bring ML to Production/The Promise of MLOps
Using MLOps to Bring ML to Production/The Promise of MLOpsUsing MLOps to Bring ML to Production/The Promise of MLOps
Using MLOps to Bring ML to Production/The Promise of MLOpsWeaveworks
 
Event Sourcing & CQRS: Down the rabbit hole
Event Sourcing & CQRS: Down the rabbit holeEvent Sourcing & CQRS: Down the rabbit hole
Event Sourcing & CQRS: Down the rabbit holeJulian May
 
Event Sourcing with Kotlin, who needs frameworks!
Event Sourcing with Kotlin, who needs frameworks!Event Sourcing with Kotlin, who needs frameworks!
Event Sourcing with Kotlin, who needs frameworks!Nico Krijnen
 
An introduction to Reactive applications, Reactive Streams, and options for t...
An introduction to Reactive applications, Reactive Streams, and options for t...An introduction to Reactive applications, Reactive Streams, and options for t...
An introduction to Reactive applications, Reactive Streams, and options for t...Steve Pember
 

Ähnlich wie A year with event sourcing and CQRS (20)

Gr8conf US 2015 - Intro to Event Sourcing with Groovy
Gr8conf US 2015 - Intro to Event Sourcing with GroovyGr8conf US 2015 - Intro to Event Sourcing with Groovy
Gr8conf US 2015 - Intro to Event Sourcing with Groovy
 
Richer data-history-event-sourcing
Richer data-history-event-sourcingRicher data-history-event-sourcing
Richer data-history-event-sourcing
 
My first year with event sourcing.dpc.
My first year with event sourcing.dpc.My first year with event sourcing.dpc.
My first year with event sourcing.dpc.
 
My first year with event sourcing amersfoort 12-06-2018
My first year with event sourcing amersfoort 12-06-2018My first year with event sourcing amersfoort 12-06-2018
My first year with event sourcing amersfoort 12-06-2018
 
My first year with event sourcing
My first year with event sourcingMy first year with event sourcing
My first year with event sourcing
 
Event storage in a distributed system
Event storage in a distributed systemEvent storage in a distributed system
Event storage in a distributed system
 
My first year with event sourcing-symfonycon
My first year with event sourcing-symfonyconMy first year with event sourcing-symfonycon
My first year with event sourcing-symfonycon
 
Creating a Single Source of Truth: Leverage all of your data with powerful an...
Creating a Single Source of Truth: Leverage all of your data with powerful an...Creating a Single Source of Truth: Leverage all of your data with powerful an...
Creating a Single Source of Truth: Leverage all of your data with powerful an...
 
My first year with event sourcing-nijmegen
My first year with event sourcing-nijmegenMy first year with event sourcing-nijmegen
My first year with event sourcing-nijmegen
 
Practical deep learning for computer vision
Practical deep learning for computer visionPractical deep learning for computer vision
Practical deep learning for computer vision
 
Reactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovyReactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of Groovy
 
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, Europe
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, EuropePatterns of the Lambda Architecture -- 2015 April - Hadoop Summit, Europe
Patterns of the Lambda Architecture -- 2015 April - Hadoop Summit, Europe
 
Understanding event data
Understanding event dataUnderstanding event data
Understanding event data
 
Simplify Your Life with CQRS
Simplify Your Life with CQRSSimplify Your Life with CQRS
Simplify Your Life with CQRS
 
Big data meetup budapest adding data schemas to snowplow
Big data meetup budapest   adding data schemas to snowplowBig data meetup budapest   adding data schemas to snowplow
Big data meetup budapest adding data schemas to snowplow
 
Using MLOps to Bring ML to Production/The Promise of MLOps
Using MLOps to Bring ML to Production/The Promise of MLOpsUsing MLOps to Bring ML to Production/The Promise of MLOps
Using MLOps to Bring ML to Production/The Promise of MLOps
 
Breaking, Entering and Pentesting
Breaking, Entering and Pentesting Breaking, Entering and Pentesting
Breaking, Entering and Pentesting
 
Event Sourcing & CQRS: Down the rabbit hole
Event Sourcing & CQRS: Down the rabbit holeEvent Sourcing & CQRS: Down the rabbit hole
Event Sourcing & CQRS: Down the rabbit hole
 
Event Sourcing with Kotlin, who needs frameworks!
Event Sourcing with Kotlin, who needs frameworks!Event Sourcing with Kotlin, who needs frameworks!
Event Sourcing with Kotlin, who needs frameworks!
 
An introduction to Reactive applications, Reactive Streams, and options for t...
An introduction to Reactive applications, Reactive Streams, and options for t...An introduction to Reactive applications, Reactive Streams, and options for t...
An introduction to Reactive applications, Reactive Streams, and options for t...
 

Mehr von Steve Pember

Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023Steve Pember
 
SACon 2019 - Surviving in a Microservices Environment
SACon 2019 - Surviving in a Microservices EnvironmentSACon 2019 - Surviving in a Microservices Environment
SACon 2019 - Surviving in a Microservices EnvironmentSteve Pember
 
Surviving in a Microservices environment -abridged
Surviving in a Microservices environment -abridgedSurviving in a Microservices environment -abridged
Surviving in a Microservices environment -abridgedSteve Pember
 
Gradle Show and Tell
Gradle Show and TellGradle Show and Tell
Gradle Show and TellSteve Pember
 
Greach 2018: Surviving Microservices
Greach 2018: Surviving MicroservicesGreach 2018: Surviving Microservices
Greach 2018: Surviving MicroservicesSteve Pember
 
Reactive All the Way Down the Stack
Reactive All the Way Down the StackReactive All the Way Down the Stack
Reactive All the Way Down the StackSteve Pember
 
Harnessing Spark and Cassandra with Groovy
Harnessing Spark and Cassandra with GroovyHarnessing Spark and Cassandra with Groovy
Harnessing Spark and Cassandra with GroovySteve Pember
 
Surviving in a microservices environment
Surviving in a microservices environmentSurviving in a microservices environment
Surviving in a microservices environmentSteve Pember
 
Surviving in a Microservices Environment
Surviving in a Microservices EnvironmentSurviving in a Microservices Environment
Surviving in a Microservices EnvironmentSteve Pember
 
An Introduction to jOOQ
An Introduction to jOOQAn Introduction to jOOQ
An Introduction to jOOQSteve Pember
 
Reactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovyReactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovySteve Pember
 
An Introduction to Reactive Application, Reactive Streams, and options for JVM
An Introduction to Reactive Application, Reactive Streams, and options for JVMAn Introduction to Reactive Application, Reactive Streams, and options for JVM
An Introduction to Reactive Application, Reactive Streams, and options for JVMSteve Pember
 
Richer Data History with Event Sourcing (SpringOne 2GX 2015
Richer Data History with Event Sourcing (SpringOne 2GX 2015Richer Data History with Event Sourcing (SpringOne 2GX 2015
Richer Data History with Event Sourcing (SpringOne 2GX 2015Steve Pember
 
Springone2gx 2015 Reactive Options for Groovy
Springone2gx 2015  Reactive Options for GroovySpringone2gx 2015  Reactive Options for Groovy
Springone2gx 2015 Reactive Options for GroovySteve Pember
 
Gr8conf US 2015: Reactive Options for Groovy
Gr8conf US 2015: Reactive Options for GroovyGr8conf US 2015: Reactive Options for Groovy
Gr8conf US 2015: Reactive Options for GroovySteve Pember
 
Groovy Options for Reactive Applications - Greach 2015
Groovy Options for Reactive Applications - Greach 2015Groovy Options for Reactive Applications - Greach 2015
Groovy Options for Reactive Applications - Greach 2015Steve Pember
 
Advanced Microservices - Greach 2015
Advanced Microservices - Greach 2015Advanced Microservices - Greach 2015
Advanced Microservices - Greach 2015Steve Pember
 
Managing a Microservices Development Team (And advanced Microservice concerns)
Managing a Microservices Development Team (And advanced Microservice concerns)Managing a Microservices Development Team (And advanced Microservice concerns)
Managing a Microservices Development Team (And advanced Microservice concerns)Steve Pember
 
Reactive Microservice Architecture with Groovy and Grails
Reactive Microservice Architecture with Groovy and GrailsReactive Microservice Architecture with Groovy and Grails
Reactive Microservice Architecture with Groovy and GrailsSteve Pember
 
Why Reactive Architecture Will Take Over The World (and why we should be wary...
Why Reactive Architecture Will Take Over The World (and why we should be wary...Why Reactive Architecture Will Take Over The World (and why we should be wary...
Why Reactive Architecture Will Take Over The World (and why we should be wary...Steve Pember
 

Mehr von Steve Pember (20)

Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023
 
SACon 2019 - Surviving in a Microservices Environment
SACon 2019 - Surviving in a Microservices EnvironmentSACon 2019 - Surviving in a Microservices Environment
SACon 2019 - Surviving in a Microservices Environment
 
Surviving in a Microservices environment -abridged
Surviving in a Microservices environment -abridgedSurviving in a Microservices environment -abridged
Surviving in a Microservices environment -abridged
 
Gradle Show and Tell
Gradle Show and TellGradle Show and Tell
Gradle Show and Tell
 
Greach 2018: Surviving Microservices
Greach 2018: Surviving MicroservicesGreach 2018: Surviving Microservices
Greach 2018: Surviving Microservices
 
Reactive All the Way Down the Stack
Reactive All the Way Down the StackReactive All the Way Down the Stack
Reactive All the Way Down the Stack
 
Harnessing Spark and Cassandra with Groovy
Harnessing Spark and Cassandra with GroovyHarnessing Spark and Cassandra with Groovy
Harnessing Spark and Cassandra with Groovy
 
Surviving in a microservices environment
Surviving in a microservices environmentSurviving in a microservices environment
Surviving in a microservices environment
 
Surviving in a Microservices Environment
Surviving in a Microservices EnvironmentSurviving in a Microservices Environment
Surviving in a Microservices Environment
 
An Introduction to jOOQ
An Introduction to jOOQAn Introduction to jOOQ
An Introduction to jOOQ
 
Reactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of GroovyReactive Streams and the Wide World of Groovy
Reactive Streams and the Wide World of Groovy
 
An Introduction to Reactive Application, Reactive Streams, and options for JVM
An Introduction to Reactive Application, Reactive Streams, and options for JVMAn Introduction to Reactive Application, Reactive Streams, and options for JVM
An Introduction to Reactive Application, Reactive Streams, and options for JVM
 
Richer Data History with Event Sourcing (SpringOne 2GX 2015
Richer Data History with Event Sourcing (SpringOne 2GX 2015Richer Data History with Event Sourcing (SpringOne 2GX 2015
Richer Data History with Event Sourcing (SpringOne 2GX 2015
 
Springone2gx 2015 Reactive Options for Groovy
Springone2gx 2015  Reactive Options for GroovySpringone2gx 2015  Reactive Options for Groovy
Springone2gx 2015 Reactive Options for Groovy
 
Gr8conf US 2015: Reactive Options for Groovy
Gr8conf US 2015: Reactive Options for GroovyGr8conf US 2015: Reactive Options for Groovy
Gr8conf US 2015: Reactive Options for Groovy
 
Groovy Options for Reactive Applications - Greach 2015
Groovy Options for Reactive Applications - Greach 2015Groovy Options for Reactive Applications - Greach 2015
Groovy Options for Reactive Applications - Greach 2015
 
Advanced Microservices - Greach 2015
Advanced Microservices - Greach 2015Advanced Microservices - Greach 2015
Advanced Microservices - Greach 2015
 
Managing a Microservices Development Team (And advanced Microservice concerns)
Managing a Microservices Development Team (And advanced Microservice concerns)Managing a Microservices Development Team (And advanced Microservice concerns)
Managing a Microservices Development Team (And advanced Microservice concerns)
 
Reactive Microservice Architecture with Groovy and Grails
Reactive Microservice Architecture with Groovy and GrailsReactive Microservice Architecture with Groovy and Grails
Reactive Microservice Architecture with Groovy and Grails
 
Why Reactive Architecture Will Take Over The World (and why we should be wary...
Why Reactive Architecture Will Take Over The World (and why we should be wary...Why Reactive Architecture Will Take Over The World (and why we should be wary...
Why Reactive Architecture Will Take Over The World (and why we should be wary...
 

Kürzlich hochgeladen

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
 
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfThe Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfkalichargn70th171
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsArshad QA
 
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
 
What is Binary Language? Computer Number Systems
What is Binary Language?  Computer Number SystemsWhat is Binary Language?  Computer Number Systems
What is Binary Language? Computer Number SystemsJheuzeDellosa
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...ICS
 
Project Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationProject Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationkaushalgiri8080
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comFatema Valibhai
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
 
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
 
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
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsJhone kinadey
 
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...soniya singh
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...OnePlan Solutions
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...stazi3110
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataBradBedford3
 
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
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about usDynamic Netsoft
 
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
 

Kürzlich hochgeladen (20)

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
 
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfThe Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview Questions
 
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 ☂️
 
What is Binary Language? Computer Number Systems
What is Binary Language?  Computer Number SystemsWhat is Binary Language?  Computer Number Systems
What is Binary Language? Computer Number Systems
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
 
Project Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanationProject Based Learning (A.I).pptx detail explanation
Project Based Learning (A.I).pptx detail explanation
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
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
 
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...
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
 
Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...Advancing Engineering with AI through the Next Generation of Strategic Projec...
Advancing Engineering with AI through the Next Generation of Strategic Projec...
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
 
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer DataAdobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
Adobe Marketo Engage Deep Dives: Using Webhooks to Transfer Data
 
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
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about us
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 
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
 

A year with event sourcing and CQRS