SlideShare uma empresa Scribd logo
1 de 137
Baixar para ler offline
Akka persistence	

(message sourcing in 30 minutes)
Konrad 'ktoso' Malawski	

Scalar 2014 @ Warsaw, PL
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
Konrad `@ktosopl` Malawski
typesafe.com	

geecon.org	

Java.pl / KrakowScala.pl	

sckrk.com / meetup.com/Paper-Cup @ London	

GDGKrakow.pl 	

meetup.com/Lambda-Lounge-Krakow
hAkker @
mainly by	

Martin Krasser
!
!
(as contractor for Typesafe)	

!
inspired by:
akka-persistence
https://github.com/krasserm
https://github.com/eligosource/eventsourced
dependencies
libraryDependencies ++= Seq(!
"com.typesafe.akka" %% “akka-actor" % "2.3.0",!
"com.typesafe.akka" %% "akka-persistence-experimental" % "2.3.0"!
)
Show of hands!
Show of hands!
Show of hands!
Show of hands!
sourcing styles
Command Sourcing Event Sourcing
msg: DoThing
msg persisted before receive
imperative, “do the thing”
business logic change,
can be reflected in reaction
Processor
sourcing styles
Command Sourcing Event Sourcing
msg: DoThing msg: ThingDone
msg persisted before receive
commands converted to events,
must be manually persisted
imperative, “do the thing” past tense, “happened”
business logic change,
can be reflected in reaction
business logic change,
won’t change previous events
Processor EventsourcedProcessor
Plain Actors
count: 0
!
!
Actor
count: 0
!
!
Actor
An Actor that keeps count of messages it processed
count: 0
!
!
Actor
An Actor that keeps count of messages it processed
count: 0
!
!
Actor
An Actor that keeps count of messages it processed
Let’s send 2 messages to it
count: 0
!
!
Actor
An Actor that keeps count of messages it processed
Let’s send 2 messages to it
(it’s “commands”)
Actor
!
!
class Counter extends Actor {!
var count = 0!


def receive = {!
case _ => count += 1!
}!
}
count: 0
!
!
Actor
count: 0
!
!
Actor
count: 1
!
!
Actor
count: 1
!
!
Actor
crash!
Actor
crash!
Actor
restart
count: 0
!
!
Actor
restart
count: 0
!
!
Actor
restarted
count: 1
!
!
Actor
restarted
count: 1
!
!
Actor
restarted
count: 1
!
!
wrong!	

expected count == 2!
Actor
restarted
Processor
var count = 0
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
crash!
Journal	

(DB)	

!
!
!
Processor
Journal	

(DB)	

!
!
!
Processor
restart
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
restart
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
replay!
restart
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 0
!
def processorId = “a”
!
replay!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
replay!
Journal	

(DB)	

!
!
!
Processor
var count = 1
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 2
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Processor
var count = 2
!
def processorId = “a”
!
yay!
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
counter ! Persistent(payload)
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
counter ! Persistent(payload)
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
counter ! Persistent(payload)
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
counter ! Persistent(payload)
is already persisted!
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
}!
}
counter ! Persistent(payload)
sequenceNr
(generated by akka)
is already persisted!
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case notPersisted =>!
// will not replay this msg!!
count += 1!
}!
}
counter ! payload
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case notPersisted =>!
// will not replay this msg!!
count += 1!
}!
}
counter ! payload
won’t persist
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case notPersisted =>!
// will not replay this msg!!
count += 1!
}!
}
counter ! payload
won’t persist
won’t replay
Processor
import akka.persistence._!
!
class CounterProcessor extends Processor {!
var count = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// payload already persisted!
count += 1!
!
case notPersistentMsg =>!
// msg not persisted - like in normal Actor!
count += 1!
}!
}
Processor
Upsides
• Persistent Command Sourcing “out of the box”	

• Pretty simple, persist handled for you	

• Once you get the msg, it’s persisted	

• Pluggable Journals (HBase, Cassandra, Mongo, …)	

• Can replay to given seqNr (post-mortem etc!)
Processor
Downsides
• Exposes Persistent() to Actors who talk to you	

• No room for validation before persisting	

• There’s one Model, we act on the incoming msg	

• Lower throughput than plain Actor (limited by DB)
EventsourcedProcessor
EventsourcedProcessor	

(longer name == more flexibility)
;-)
super quick domain modeling!
super quick domain modeling!
sealed trait Command!
case class ManyCommand(nums: List[Int]) extends Command
Commands - input from user,“send emails”, not persisted
super quick domain modeling!
sealed trait Command!
case class ManyCommand(nums: List[Int]) extends Command
Commands - input from user,“send emails”, not persisted
sealed trait Event!
case class AddOneEvent(num: Int) extends Event!
Events - business events emitted by the processor, persisted
super quick domain modeling!
sealed trait Command!
case class ManyCommand(nums: List[Int]) extends Command
Commands - input from user,“send emails”, not persisted
case class State(count: Int) {!
def updated(more: Int) = State(count + more)!
}
State - internal actor state, kept in var
sealed trait Event!
case class AddOneEvent(num: Int) extends Event!
Events - business events emitted by the processor, persisted
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
Command
!
!
Journal
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
C1
Generate
Events
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
Event
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
C1
var count = 0
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
ACK
“persisted”
C1
var count = 1
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
E1
C1
var count = 1
!
def processorId = “a”
!
EventsourcedProcessor
!
!
Journal
E1
E1
“Apply”
event
EventsourcedProcessor
class MultiCounter extends EventsourcedProcessor {!
!
var state = State(count = 0)!
!
def updateState(e: Event): State = {!
case event: AddOneEvent => state.updated(event.num)!
}!
!
// API:!
!
def receiveCommand = ??? // TODO!
!
def receiveRecover = ??? // TODO!
!
}!
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
async persist
that event
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
async persist
that event
async called after
successful persist
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
async persist
that event
async called after
successful persist
It is guaranteed that no new commands will be received by a processor
between a call to `persist` and the execution of its `handler`.
EventsourcedProcessor
def receiveCommand = {!
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }!
!
case command: Command =>!
persist(AddOneEvent(command)) { state = updateState(_) }!
}
EventsourcedProcessor
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }
EventsourcedProcessor
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }
“style fix”
EventsourcedProcessor
case ManyCommand(many) =>!
for (event <- many map AddOneEvent)!
persist(event) { state = updateState(_) }
case ManyCommand(many) =>!
persist(many map AddOneEvent) { state = updateState(_) }
“style fix”
Eventsourced, recovery
/** MUST NOT SIDE-EFFECT! */!
def receiveRecover = {!
case replayedEvent: Event => !
updateState(replayedEvent)!
}
Eventsourced, snapshots
Eventsourced, snapshots
/** MUST NOT SIDE-EFFECT! */!
def receiveRecover = {!
case SnapshotOffer(meta, snapshot: State) => !
this.state = state!
!
case replayedEvent: Event => !
updateState(replayedEvent)!
}
Eventsourced, snapshots
/** MUST NOT SIDE-EFFECT! */!
def receiveRecover = {!
case SnapshotOffer(meta, snapshot: State) => !
this.state = state!
!
case replayedEvent: Event => !
updateState(replayedEvent)!
}
Eventsourced, snapshots
/** MUST NOT SIDE-EFFECT! */!
def receiveRecover = {!
case SnapshotOffer(meta, snapshot: State) => !
this.state = state!
!
case replayedEvent: Event => !
updateState(replayedEvent)!
}
snapshot!?
how?
Eventsourced, snapshots
def receiveCommand = {!
case command: Command =>!
saveSnapshot(state) // async!!
}
/** MUST NOT SIDE-EFFECT! */!
def receiveRecover = {!
case SnapshotOffer(meta, snapshot: State) => !
this.state = state!
!
case replayedEvent: Event => !
updateState(replayedEvent)!
}
snapshot!?
how?
Snapshots
Snapshots	

(in SnapshotStore)
…sum of states…
Snapshots
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
S8
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
S8
!
!
Snapshot Store
snapshot!
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
S8
!
!
Snapshot Store
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
S8
state until [E8]
Snapshots
S8
!
!
Snapshot Store
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
S8
crash!
Snapshots
!
!
Snapshot Store
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
S8
crash!
“bring me up-to-date!”
Snapshots
!
!
Snapshot Store
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
S8
restart!
“bring me up-to-date!”
Snapshots
!
!
Snapshot Store
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
S8
restart!
replay!
“bring me up-to-date!”
Snapshots
!
!
Snapshot Store
S8
restart!
replay!
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
“bring me up-to-date!”
Snapshots
!
!
Snapshot Store
S8
restart!
replay!
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
“bring me up-to-date!”
Snapshots
!
!
Snapshot Store
S8
restart!
replay!
S8
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
!
!
Snapshot Store
S8
restart!
replay!
S8
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
!
!
Snapshot Store
S8
S8
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
state until [E8]
Snapshots
!
!
Snapshot Store
S8
S8
!
!
Journal
E1 E2 E3 E4
E5 E6 E7 E8
We could delete these!
trait MySummer extends Processor {!
var nums: List[Int]!
var total: Int!
!
def receive = {!
case "snap" => saveSnapshot(total)!
case SaveSnapshotSuccess(metadata) => // ...!
case SaveSnapshotFailure(metadata, reason) => // ...!
}!
}!
Snapshots, save
trait MySummer extends Processor {!
var nums: List[Int]!
var total: Int!
!
def receive = {!
case "snap" => saveSnapshot(total)!
case SaveSnapshotSuccess(metadata) => // ...!
case SaveSnapshotFailure(metadata, reason) => // ...!
}!
}!
Snapshots, save
Async!
trait MySummer extends Processor {!
var nums: List[Int]!
var total: Int!
!
def receive = {!
case "snap" => saveSnapshot(total)!
case SaveSnapshotSuccess(metadata) => // ...!
case SaveSnapshotFailure(metadata, reason) => // ...!
}!
}!
Snapshots, success
trait MySummer extends Processor {!
var nums: List[Int]!
var total: Int!
!
def receive = {!
case "snap" => saveSnapshot(total)!
case SaveSnapshotSuccess(metadata) => // ...!
case SaveSnapshotFailure(metadata, reason) => // ...!
}!
}!
Snapshots, success
final case class SnapshotMetadata(!
processorId: String, sequenceNr: Long, !
timestamp: Long)
trait MySummer extends Processor {!
var nums: List[Int]!
var total: Int!
!
def receive = {!
case "snap" => saveSnapshot(total)!
case SaveSnapshotSuccess(metadata) => // ...!
case SaveSnapshotFailure(metadata, reason) => // ...!
}!
}!
Snapshots, success
Snapshot Recovery
class Counter extends Processor {!
var total = 0!
!
def receive = {!
case SnapshotOffer(metadata, snap: Int) => !
total = snap!
!
case Persistent(payload, sequenceNr) => // ...!
}!
}
Snapshots
Upsides
• Simple!
• Faster recovery (!)
• Allows to delete “older” events	

• “known state at point in time”
Snapshots
Downsides
• More logic to write	

• Maybe not needed if events replay “fast enough”	

• Possibly “yet another database” to pick	

• snapshots are different than events, may be big!
Views
Journal	

(DB)	

!
!
!
Views
!
Processor
!
def processorId = “a”
!
Journal	

(DB)	

!
!
!
Views
!
Processor
!
def processorId = “a”
!
!
View
!
def processorId = “a”
!
!
!
Journal	

(DB)	

!
!
!
Views
!
Processor
!
def processorId = “a”
!
!
View
!
def processorId = “a”
!
!
!
pooling
Journal	

(DB)	

!
!
!
Views
!
Processor
!
def processorId = “a”
!
!
View
!
def processorId = “a”
!
!
!
pooling
!
View
!
def processorId = “a”
!
!
!
pooling
Journal	

(DB)	

!
!
!
Views
!
Processor
!
def processorId = “a”
!
!
View
!
def processorId = “a”
!
!
!
pooling
!
View
!
def processorId = “a”
!
!
!
pooling
different ActorPath,
same processorId
View
class DoublingCounterProcessor extends View {!
var state = 0!


override val processorId = "counter"!
!
def receive = {!
case Persistent(payload, seqNr) =>!
// “state += 2 * payload” !
!
}!
}
Akka Persistence Plugins
Akka Persistence Plugins
Plugins are Community maintained!

(“not sure how production ready”)
http://akka.io/community/#journal_plugins
Akka Persistence Plugins
Plugins are Community maintained!

(“not sure how production ready”)
http://akka.io/community/#journal_plugins
• Journals - Cassandra, HBase, Mongo …
Akka Persistence Plugins
Plugins are Community maintained!

(“not sure how production ready”)
http://akka.io/community/#journal_plugins
• Journals - Cassandra, HBase, Mongo …
• SnapshotStores - Cassandra, HDFS, HBase, Mongo …
SnapshotStore Plugins!
http://akka.io/community/#journal_plugins
Links
• Official docs: http://doc.akka.io/docs/akka/2.3.0/scala/persistence.html	

• Patrik’s Slides & Webinar: http://www.slideshare.net/patriknw/akka-
persistence-webinar	

• Papers:	

• Sagas http://www.cs.cornell.edu/andru/cs711/2002fa/reading/
sagas.pdf	

• Life beyond Distributed Transactions: http://www-db.cs.wisc.edu/
cidr/cidr2007/papers/cidr07p15.pdf	

• Pics:	

• http://misaspuppy.deviantart.com/art/Messenger-s-Cutie-Mark-A-
Flying-Envelope-291040459
Mailing List
groups.google.com/forum/#!forum/akka-user
Links
Eric Evans - “the DDD book”	

http://www.amazon.com/Domain-Driven-Design-Tackling-Complexity-Software/dp/0321125215	

!
!
!
!
!
!
VaughnVernon’s Book and Talk	

http://www.amazon.com/Implementing-Domain-Driven-Design-Vaughn-Vernon/dp/0321834577	

video: https://skillsmatter.com/skillscasts/4698-reactive-ddd-with-scala-and-akka	

!
!
!
ktoso @ typesafe.com
twitter: ktosopl	

github: ktoso	

blog: project13.pl	

team blog: letitcrash.com Scalar 2014 @ Warsaw, PL
!
Dzięki!	

Thanks!	

ありがとう!	

!
!
ping me:

Mais conteúdo relacionado

Mais procurados

How to understand and analyze Apache Hive query execution plan for performanc...
How to understand and analyze Apache Hive query execution plan for performanc...How to understand and analyze Apache Hive query execution plan for performanc...
How to understand and analyze Apache Hive query execution plan for performanc...DataWorks Summit/Hadoop Summit
 
Introduction to PostgreSQL
Introduction to PostgreSQLIntroduction to PostgreSQL
Introduction to PostgreSQLJoel Brewer
 
Building Next-Generation Web APIs with JSON-LD and Hydra
Building Next-Generation Web APIs with JSON-LD and HydraBuilding Next-Generation Web APIs with JSON-LD and Hydra
Building Next-Generation Web APIs with JSON-LD and HydraMarkus Lanthaler
 
ES6 presentation
ES6 presentationES6 presentation
ES6 presentationritika1
 
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...Extreme Apache Spark: how in 3 months we created a pipeline that can process ...
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...Josef A. Habdank
 
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...confluent
 
Delta Lake Streaming: Under the Hood
Delta Lake Streaming: Under the HoodDelta Lake Streaming: Under the Hood
Delta Lake Streaming: Under the HoodDatabricks
 
JSON-LD: JSON for Linked Data
JSON-LD: JSON for Linked DataJSON-LD: JSON for Linked Data
JSON-LD: JSON for Linked DataGregg Kellogg
 
20180518 QNAP Seminar - Introduction to React Native
20180518 QNAP Seminar - Introduction to React Native20180518 QNAP Seminar - Introduction to React Native
20180518 QNAP Seminar - Introduction to React NativeEric Deng
 
Type script - advanced usage and practices
Type script  - advanced usage and practicesType script  - advanced usage and practices
Type script - advanced usage and practicesIwan van der Kleijn
 
MongoDB- Crud Operation
MongoDB- Crud OperationMongoDB- Crud Operation
MongoDB- Crud OperationEdureka!
 
Introduction into ES6 JavaScript.
Introduction into ES6 JavaScript.Introduction into ES6 JavaScript.
Introduction into ES6 JavaScript.boyney123
 
React Js Simplified
React Js SimplifiedReact Js Simplified
React Js SimplifiedSunil Yadav
 
Easy, scalable, fault tolerant stream processing with structured streaming - ...
Easy, scalable, fault tolerant stream processing with structured streaming - ...Easy, scalable, fault tolerant stream processing with structured streaming - ...
Easy, scalable, fault tolerant stream processing with structured streaming - ...Databricks
 
TypeScript: coding JavaScript without the pain
TypeScript: coding JavaScript without the painTypeScript: coding JavaScript without the pain
TypeScript: coding JavaScript without the painSander Mak (@Sander_Mak)
 
MySQL/MariaDB Proxy Software Test
MySQL/MariaDB Proxy Software TestMySQL/MariaDB Proxy Software Test
MySQL/MariaDB Proxy Software TestI Goo Lee
 
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재[pgday.Seoul 2022] PostgreSQL구조 - 윤성재
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재PgDay.Seoul
 

Mais procurados (20)

How to understand and analyze Apache Hive query execution plan for performanc...
How to understand and analyze Apache Hive query execution plan for performanc...How to understand and analyze Apache Hive query execution plan for performanc...
How to understand and analyze Apache Hive query execution plan for performanc...
 
Introduction to PostgreSQL
Introduction to PostgreSQLIntroduction to PostgreSQL
Introduction to PostgreSQL
 
Building Next-Generation Web APIs with JSON-LD and Hydra
Building Next-Generation Web APIs with JSON-LD and HydraBuilding Next-Generation Web APIs with JSON-LD and Hydra
Building Next-Generation Web APIs with JSON-LD and Hydra
 
ES6 presentation
ES6 presentationES6 presentation
ES6 presentation
 
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...Extreme Apache Spark: how in 3 months we created a pipeline that can process ...
Extreme Apache Spark: how in 3 months we created a pipeline that can process ...
 
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...
Simplifying Distributed Transactions with Sagas in Kafka (Stephen Zoio, Simpl...
 
Introduction to Redux
Introduction to ReduxIntroduction to Redux
Introduction to Redux
 
Delta Lake Streaming: Under the Hood
Delta Lake Streaming: Under the HoodDelta Lake Streaming: Under the Hood
Delta Lake Streaming: Under the Hood
 
JSON-LD: JSON for Linked Data
JSON-LD: JSON for Linked DataJSON-LD: JSON for Linked Data
JSON-LD: JSON for Linked Data
 
20180518 QNAP Seminar - Introduction to React Native
20180518 QNAP Seminar - Introduction to React Native20180518 QNAP Seminar - Introduction to React Native
20180518 QNAP Seminar - Introduction to React Native
 
Type script - advanced usage and practices
Type script  - advanced usage and practicesType script  - advanced usage and practices
Type script - advanced usage and practices
 
Avro
AvroAvro
Avro
 
MongoDB- Crud Operation
MongoDB- Crud OperationMongoDB- Crud Operation
MongoDB- Crud Operation
 
Get to know PostgreSQL!
Get to know PostgreSQL!Get to know PostgreSQL!
Get to know PostgreSQL!
 
Introduction into ES6 JavaScript.
Introduction into ES6 JavaScript.Introduction into ES6 JavaScript.
Introduction into ES6 JavaScript.
 
React Js Simplified
React Js SimplifiedReact Js Simplified
React Js Simplified
 
Easy, scalable, fault tolerant stream processing with structured streaming - ...
Easy, scalable, fault tolerant stream processing with structured streaming - ...Easy, scalable, fault tolerant stream processing with structured streaming - ...
Easy, scalable, fault tolerant stream processing with structured streaming - ...
 
TypeScript: coding JavaScript without the pain
TypeScript: coding JavaScript without the painTypeScript: coding JavaScript without the pain
TypeScript: coding JavaScript without the pain
 
MySQL/MariaDB Proxy Software Test
MySQL/MariaDB Proxy Software TestMySQL/MariaDB Proxy Software Test
MySQL/MariaDB Proxy Software Test
 
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재[pgday.Seoul 2022] PostgreSQL구조 - 윤성재
[pgday.Seoul 2022] PostgreSQL구조 - 윤성재
 

Destaque

CQRS Evolved - CQRS + Akka.NET
CQRS Evolved - CQRS + Akka.NETCQRS Evolved - CQRS + Akka.NET
CQRS Evolved - CQRS + Akka.NETDavid Hoerster
 
Event Sourcing in less than 20 minutes - With Akka and Java 8
Event Sourcing in less than 20 minutes - With Akka and Java 8Event Sourcing in less than 20 minutes - With Akka and Java 8
Event Sourcing in less than 20 minutes - With Akka and Java 8J On The Beach
 
Moving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduMoving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduCloudera, Inc.
 
Event sourcing with Eventuate
Event sourcing with EventuateEvent sourcing with Eventuate
Event sourcing with EventuateKnoldus Inc.
 
CQRS and Event Sourcing for Java Developers
CQRS and Event Sourcing for Java DevelopersCQRS and Event Sourcing for Java Developers
CQRS and Event Sourcing for Java DevelopersMarkus Eisele
 
Going Serverless with CQRS on AWS
Going Serverless with CQRS on AWSGoing Serverless with CQRS on AWS
Going Serverless with CQRS on AWSAnton Udovychenko
 
codecentric AG: CQRS and Event Sourcing Applications with Cassandra
codecentric AG: CQRS and Event Sourcing Applications with Cassandracodecentric AG: CQRS and Event Sourcing Applications with Cassandra
codecentric AG: CQRS and Event Sourcing Applications with CassandraDataStax Academy
 

Destaque (8)

CQRS Evolved - CQRS + Akka.NET
CQRS Evolved - CQRS + Akka.NETCQRS Evolved - CQRS + Akka.NET
CQRS Evolved - CQRS + Akka.NET
 
Event-sourced architectures with Akka
Event-sourced architectures with AkkaEvent-sourced architectures with Akka
Event-sourced architectures with Akka
 
Event Sourcing in less than 20 minutes - With Akka and Java 8
Event Sourcing in less than 20 minutes - With Akka and Java 8Event Sourcing in less than 20 minutes - With Akka and Java 8
Event Sourcing in less than 20 minutes - With Akka and Java 8
 
Moving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache KuduMoving Beyond Lambda Architectures with Apache Kudu
Moving Beyond Lambda Architectures with Apache Kudu
 
Event sourcing with Eventuate
Event sourcing with EventuateEvent sourcing with Eventuate
Event sourcing with Eventuate
 
CQRS and Event Sourcing for Java Developers
CQRS and Event Sourcing for Java DevelopersCQRS and Event Sourcing for Java Developers
CQRS and Event Sourcing for Java Developers
 
Going Serverless with CQRS on AWS
Going Serverless with CQRS on AWSGoing Serverless with CQRS on AWS
Going Serverless with CQRS on AWS
 
codecentric AG: CQRS and Event Sourcing Applications with Cassandra
codecentric AG: CQRS and Event Sourcing Applications with Cassandracodecentric AG: CQRS and Event Sourcing Applications with Cassandra
codecentric AG: CQRS and Event Sourcing Applications with Cassandra
 

Semelhante a Akka persistence == event sourcing in 30 minutes

DDDing Tools = Akka Persistence
DDDing Tools = Akka PersistenceDDDing Tools = Akka Persistence
DDDing Tools = Akka PersistenceKonrad Malawski
 
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)Konrad Malawski
 
Implementing Server Side Data Synchronization for Mobile Apps
Implementing Server Side Data Synchronization for Mobile AppsImplementing Server Side Data Synchronization for Mobile Apps
Implementing Server Side Data Synchronization for Mobile AppsMichele Orselli
 
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan Ivovich
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan IvovichDC |> Elixir Meetup - Going off the Rails into Elixir - Dan Ivovich
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan IvovichSmartLogic
 
Resilient Applications with Akka Persistence - Scaladays 2014
Resilient Applications with Akka Persistence - Scaladays 2014Resilient Applications with Akka Persistence - Scaladays 2014
Resilient Applications with Akka Persistence - Scaladays 2014Björn Antonsson
 
JVMLS 2016. Coroutines in Kotlin
JVMLS 2016. Coroutines in KotlinJVMLS 2016. Coroutines in Kotlin
JVMLS 2016. Coroutines in KotlinAndrey Breslav
 
HBase RowKey design for Akka Persistence
HBase RowKey design for Akka PersistenceHBase RowKey design for Akka Persistence
HBase RowKey design for Akka PersistenceKonrad Malawski
 
RubyConf Portugal 2014 - Why ruby must go!
RubyConf Portugal 2014 - Why ruby must go!RubyConf Portugal 2014 - Why ruby must go!
RubyConf Portugal 2014 - Why ruby must go!Gautam Rege
 
Go Concurrency
Go ConcurrencyGo Concurrency
Go Concurrencyjgrahamc
 
Event-sourced architectures with Akka - Sander Mak
Event-sourced architectures with Akka - Sander MakEvent-sourced architectures with Akka - Sander Mak
Event-sourced architectures with Akka - Sander MakNLJUG
 
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...DataStax Academy
 
Going crazy with Node.JS and CakePHP
Going crazy with Node.JS and CakePHPGoing crazy with Node.JS and CakePHP
Going crazy with Node.JS and CakePHPMariano Iglesias
 
Nodejs Explained with Examples
Nodejs Explained with ExamplesNodejs Explained with Examples
Nodejs Explained with ExamplesGabriele Lana
 
Nodejsexplained 101116115055-phpapp02
Nodejsexplained 101116115055-phpapp02Nodejsexplained 101116115055-phpapp02
Nodejsexplained 101116115055-phpapp02Sunny Gupta
 
Functional Reactive Programming / Compositional Event Systems
Functional Reactive Programming / Compositional Event SystemsFunctional Reactive Programming / Compositional Event Systems
Functional Reactive Programming / Compositional Event SystemsLeonardo Borges
 
Async – react, don't wait
Async – react, don't waitAsync – react, don't wait
Async – react, don't waitJohan Andrén
 
Reactive Streams / Akka Streams - GeeCON Prague 2014
Reactive Streams / Akka Streams - GeeCON Prague 2014Reactive Streams / Akka Streams - GeeCON Prague 2014
Reactive Streams / Akka Streams - GeeCON Prague 2014Konrad Malawski
 
Socket applications
Socket applicationsSocket applications
Socket applicationsJoão Moura
 
Reactive Stream Processing with Akka Streams
Reactive Stream Processing with Akka StreamsReactive Stream Processing with Akka Streams
Reactive Stream Processing with Akka StreamsKonrad Malawski
 

Semelhante a Akka persistence == event sourcing in 30 minutes (20)

DDDing Tools = Akka Persistence
DDDing Tools = Akka PersistenceDDDing Tools = Akka Persistence
DDDing Tools = Akka Persistence
 
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)
[Tokyo Scala User Group] Akka Streams & Reactive Streams (0.7)
 
Implementing Server Side Data Synchronization for Mobile Apps
Implementing Server Side Data Synchronization for Mobile AppsImplementing Server Side Data Synchronization for Mobile Apps
Implementing Server Side Data Synchronization for Mobile Apps
 
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan Ivovich
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan IvovichDC |> Elixir Meetup - Going off the Rails into Elixir - Dan Ivovich
DC |> Elixir Meetup - Going off the Rails into Elixir - Dan Ivovich
 
Resilient Applications with Akka Persistence - Scaladays 2014
Resilient Applications with Akka Persistence - Scaladays 2014Resilient Applications with Akka Persistence - Scaladays 2014
Resilient Applications with Akka Persistence - Scaladays 2014
 
JVMLS 2016. Coroutines in Kotlin
JVMLS 2016. Coroutines in KotlinJVMLS 2016. Coroutines in Kotlin
JVMLS 2016. Coroutines in Kotlin
 
HBase RowKey design for Akka Persistence
HBase RowKey design for Akka PersistenceHBase RowKey design for Akka Persistence
HBase RowKey design for Akka Persistence
 
RubyConf Portugal 2014 - Why ruby must go!
RubyConf Portugal 2014 - Why ruby must go!RubyConf Portugal 2014 - Why ruby must go!
RubyConf Portugal 2014 - Why ruby must go!
 
Go Concurrency
Go ConcurrencyGo Concurrency
Go Concurrency
 
Event-sourced architectures with Akka - Sander Mak
Event-sourced architectures with Akka - Sander MakEvent-sourced architectures with Akka - Sander Mak
Event-sourced architectures with Akka - Sander Mak
 
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...
London Cassandra Meetup 10/23: Apache Cassandra at British Gas Connected Home...
 
Going crazy with Node.JS and CakePHP
Going crazy with Node.JS and CakePHPGoing crazy with Node.JS and CakePHP
Going crazy with Node.JS and CakePHP
 
Nodejs Explained with Examples
Nodejs Explained with ExamplesNodejs Explained with Examples
Nodejs Explained with Examples
 
Nodejsexplained 101116115055-phpapp02
Nodejsexplained 101116115055-phpapp02Nodejsexplained 101116115055-phpapp02
Nodejsexplained 101116115055-phpapp02
 
Functional Reactive Programming / Compositional Event Systems
Functional Reactive Programming / Compositional Event SystemsFunctional Reactive Programming / Compositional Event Systems
Functional Reactive Programming / Compositional Event Systems
 
Async – react, don't wait
Async – react, don't waitAsync – react, don't wait
Async – react, don't wait
 
Reactive Streams / Akka Streams - GeeCON Prague 2014
Reactive Streams / Akka Streams - GeeCON Prague 2014Reactive Streams / Akka Streams - GeeCON Prague 2014
Reactive Streams / Akka Streams - GeeCON Prague 2014
 
Socket applications
Socket applicationsSocket applications
Socket applications
 
JS everywhere 2011
JS everywhere 2011JS everywhere 2011
JS everywhere 2011
 
Reactive Stream Processing with Akka Streams
Reactive Stream Processing with Akka StreamsReactive Stream Processing with Akka Streams
Reactive Stream Processing with Akka Streams
 

Mais de Konrad Malawski

Networks and Types - the Future of Akka @ ScalaDays NYC 2018
Networks and Types - the Future of Akka @ ScalaDays NYC 2018Networks and Types - the Future of Akka @ ScalaDays NYC 2018
Networks and Types - the Future of Akka @ ScalaDays NYC 2018Konrad Malawski
 
Akka Typed (quick talk) - JFokus 2018
Akka Typed (quick talk) - JFokus 2018Akka Typed (quick talk) - JFokus 2018
Akka Typed (quick talk) - JFokus 2018Konrad Malawski
 
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in't
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in'tScalaSwarm 2017 Keynote: Tough this be madness yet theres method in't
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in'tKonrad Malawski
 
State of Akka 2017 - The best is yet to come
State of Akka 2017 - The best is yet to comeState of Akka 2017 - The best is yet to come
State of Akka 2017 - The best is yet to comeKonrad Malawski
 
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYC
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYCBuilding a Reactive System with Akka - Workshop @ O'Reilly SAConf NYC
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYCKonrad Malawski
 
Akka-chan's Survival Guide for the Streaming World
Akka-chan's Survival Guide for the Streaming WorldAkka-chan's Survival Guide for the Streaming World
Akka-chan's Survival Guide for the Streaming WorldKonrad Malawski
 
Reactive integrations with Akka Streams
Reactive integrations with Akka StreamsReactive integrations with Akka Streams
Reactive integrations with Akka StreamsKonrad Malawski
 
Not Only Streams for Akademia JLabs
Not Only Streams for Akademia JLabsNot Only Streams for Akademia JLabs
Not Only Streams for Akademia JLabsKonrad Malawski
 
Reactive Streams, j.u.concurrent & Beyond!
Reactive Streams, j.u.concurrent & Beyond!Reactive Streams, j.u.concurrent & Beyond!
Reactive Streams, j.u.concurrent & Beyond!Konrad Malawski
 
End to End Akka Streams / Reactive Streams - from Business to Socket
End to End Akka Streams / Reactive Streams - from Business to SocketEnd to End Akka Streams / Reactive Streams - from Business to Socket
End to End Akka Streams / Reactive Streams - from Business to SocketKonrad Malawski
 
The Cloud-natives are RESTless @ JavaOne
The Cloud-natives are RESTless @ JavaOneThe Cloud-natives are RESTless @ JavaOne
The Cloud-natives are RESTless @ JavaOneKonrad Malawski
 
Akka Streams in Action @ ScalaDays Berlin 2016
Akka Streams in Action @ ScalaDays Berlin 2016Akka Streams in Action @ ScalaDays Berlin 2016
Akka Streams in Action @ ScalaDays Berlin 2016Konrad Malawski
 
Krakow communities @ 2016
Krakow communities @ 2016Krakow communities @ 2016
Krakow communities @ 2016Konrad Malawski
 
The things we don't see – stories of Software, Scala and Akka
The things we don't see – stories of Software, Scala and AkkaThe things we don't see – stories of Software, Scala and Akka
The things we don't see – stories of Software, Scala and AkkaKonrad Malawski
 
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRKKonrad Malawski
 
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...Konrad Malawski
 
How Reactive Streams & Akka Streams change the JVM Ecosystem
How Reactive Streams & Akka Streams change the JVM EcosystemHow Reactive Streams & Akka Streams change the JVM Ecosystem
How Reactive Streams & Akka Streams change the JVM EcosystemKonrad Malawski
 
The Need for Async @ ScalaWorld
The Need for Async @ ScalaWorldThe Need for Async @ ScalaWorld
The Need for Async @ ScalaWorldKonrad Malawski
 
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka Streams
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka StreamsFresh from the Oven (04.2015): Experimental Akka Typed and Akka Streams
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka StreamsKonrad Malawski
 

Mais de Konrad Malawski (20)

Networks and Types - the Future of Akka @ ScalaDays NYC 2018
Networks and Types - the Future of Akka @ ScalaDays NYC 2018Networks and Types - the Future of Akka @ ScalaDays NYC 2018
Networks and Types - the Future of Akka @ ScalaDays NYC 2018
 
Akka Typed (quick talk) - JFokus 2018
Akka Typed (quick talk) - JFokus 2018Akka Typed (quick talk) - JFokus 2018
Akka Typed (quick talk) - JFokus 2018
 
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in't
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in'tScalaSwarm 2017 Keynote: Tough this be madness yet theres method in't
ScalaSwarm 2017 Keynote: Tough this be madness yet theres method in't
 
State of Akka 2017 - The best is yet to come
State of Akka 2017 - The best is yet to comeState of Akka 2017 - The best is yet to come
State of Akka 2017 - The best is yet to come
 
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYC
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYCBuilding a Reactive System with Akka - Workshop @ O'Reilly SAConf NYC
Building a Reactive System with Akka - Workshop @ O'Reilly SAConf NYC
 
Akka-chan's Survival Guide for the Streaming World
Akka-chan's Survival Guide for the Streaming WorldAkka-chan's Survival Guide for the Streaming World
Akka-chan's Survival Guide for the Streaming World
 
Reactive integrations with Akka Streams
Reactive integrations with Akka StreamsReactive integrations with Akka Streams
Reactive integrations with Akka Streams
 
Not Only Streams for Akademia JLabs
Not Only Streams for Akademia JLabsNot Only Streams for Akademia JLabs
Not Only Streams for Akademia JLabs
 
Reactive Streams, j.u.concurrent & Beyond!
Reactive Streams, j.u.concurrent & Beyond!Reactive Streams, j.u.concurrent & Beyond!
Reactive Streams, j.u.concurrent & Beyond!
 
End to End Akka Streams / Reactive Streams - from Business to Socket
End to End Akka Streams / Reactive Streams - from Business to SocketEnd to End Akka Streams / Reactive Streams - from Business to Socket
End to End Akka Streams / Reactive Streams - from Business to Socket
 
The Cloud-natives are RESTless @ JavaOne
The Cloud-natives are RESTless @ JavaOneThe Cloud-natives are RESTless @ JavaOne
The Cloud-natives are RESTless @ JavaOne
 
Akka Streams in Action @ ScalaDays Berlin 2016
Akka Streams in Action @ ScalaDays Berlin 2016Akka Streams in Action @ ScalaDays Berlin 2016
Akka Streams in Action @ ScalaDays Berlin 2016
 
Krakow communities @ 2016
Krakow communities @ 2016Krakow communities @ 2016
Krakow communities @ 2016
 
The things we don't see – stories of Software, Scala and Akka
The things we don't see – stories of Software, Scala and AkkaThe things we don't see – stories of Software, Scala and Akka
The things we don't see – stories of Software, Scala and Akka
 
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK
100th SCKRK Meeting - best software engineering papers of 5 years of SCKRK
 
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...
[Japanese] How Reactive Streams and Akka Streams change the JVM Ecosystem @ R...
 
Zen of Akka
Zen of AkkaZen of Akka
Zen of Akka
 
How Reactive Streams & Akka Streams change the JVM Ecosystem
How Reactive Streams & Akka Streams change the JVM EcosystemHow Reactive Streams & Akka Streams change the JVM Ecosystem
How Reactive Streams & Akka Streams change the JVM Ecosystem
 
The Need for Async @ ScalaWorld
The Need for Async @ ScalaWorldThe Need for Async @ ScalaWorld
The Need for Async @ ScalaWorld
 
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka Streams
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka StreamsFresh from the Oven (04.2015): Experimental Akka Typed and Akka Streams
Fresh from the Oven (04.2015): Experimental Akka Typed and Akka Streams
 

Último

Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
"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
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
"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
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Último (20)

Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
"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
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
"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
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

Akka persistence == event sourcing in 30 minutes