Jonas Bonér

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scalability concurrency event-driven reactive resilience distributed systems microservices cloud computing reactive systems message-driven distributed computing scalable fault-tolerance high-availability scala elasticity elastic responsive resilient akka java cloud native serverless availability ddd complexity asynchronous fail-over nosql actors software development database infrastructure dx local-first software edge native edge computing reactive principles reactive programming cloudnative graalvm kubernetes knative domain driven design events-first design architecture distributedsystems systems thinking functional programming consistency consensus philosophy computer science time multicore efficiency share-nothing non-blocking performant immutable low-latency fault-tolerant big data eda stability patterns partitioning replication scalability fault-tolerance high-availability scal clojure transactionalmemory stm dataflow real pragmatic world jvm functional mixins oop fp closures dsl

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Jonas Bonér

Presentations

Pragmatic Real-World Scala (short version)

State: You're Doing It Wrong - Alternative Concurrency Paradigms For The JVM

Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors

Scalability, Availability & Stability Patterns

Event Driven-Architecture from a Scalability perspective

Building Scalable, Highly Concurrent & Fault Tolerant Systems - Lessons Learned

Introducing Akka

Go Reactive: Event-Driven, Scalable, Resilient & Responsive Systems

Building Reactive Systems with Akka (in Java 8 or Scala)

Reactive Supply To Changing Demand

Go Reactive: Building Responsive, Resilient, Elastic & Message-Driven Systems

Life Beyond the Illusion of Present

Without Resilience, Nothing Else Matters

From Microliths To Microsystems

Reactive Microsystems: The Evolution of Microservices at Scale

How Events Are Reshaping Modern Systems

Designing Events-first Microservices

Cloudstate—Towards Stateful Serverless

The Reactive Principles: Design Principles For Cloud Native Applications

Likes

Preparing for Scala 3

Streaming Analytics with Spark, Kafka, Cassandra and Akka by Helena Edelson

Event-sourced architectures with Akka

Why Play Framework is fast

Distributed Consensus A.K.A. "What do we eat for lunch?"

Why Scala Is Taking Over the Big Data World

Startup DNA: the formula behind successful startups in Silicon Valley (updated May 5, 2017)

From Mainframe to Microservice: An Introduction to Distributed Systems

Purely Functional Data Structures in Scala

The Play Framework at LinkedIn

What Would Steve Do? 10 Lessons from the World's Most Captivating Presenters

Culture Code: Creating A Lovable Company

Culture

From "rails" to "release" —Railsconf 2010