Konrad Malawski's guest appearances

Konrad Malawski

Lightbend

Open Source Archives - Software Engineering Daily

Software Daily

Chris Bailey

Srinivas Rao

Mike Bartlett

Jerod Santo

David Heinemeier Hansson

Marty Haught

Steve Klabnik

Kevin Xu

Craig Holliday

Ben Halpern

Cornelia Davis

Scott Weiss

Dan Abramov

Chad Fowler

Henry Zhu

OwlTail

Akka is a toolkit for building concurrent, distributed, message-driven applications on the JVM. Akka provides an implementation of the actor model of concurrency, which simplifies concurrency by adding a lighter weight abstraction than threads and thread pools.  Konrad Malawski joins the show today to discuss Akka and reactive streams. Reactive streams is an initiative to provide a standard for asynchronous stream processing. This show goes deep into modern concurrent programming and is a great companion to some of the shows we have done about reactive programming.  The post Akka Reactive Streams with Konrad Malawski appeared first on Software Engineering Daily.

Akka is a toolkit for building concurrent, distributed, message-driven applications on the JVM. Akka provides an implementation of the actor model of concurrency, which simplifies concurrency by adding a lighter weight abstraction than threads and thread pools. Konrad Malawski joins the show today to discuss Akka and reactive streams. Reactive streams is an initiative to provide a standard for asynchronous stream processing. This show goes deep into modern concurrent programming and is a great companion to some of the shows we have done about reactive programming. The post <a href="https://softwareengineeringdaily.com/2016/08/22/akka-reactive-streams-with-konrad-malawski/" rel="nofollow" target="_blank">Akka Reactive Streams with Konrad Malawski</a> appeared first on <a href="https://softwareengineeringdaily.com" rel="nofollow" target="_blank">Software Engineering Daily</a>.

Akka Reactive Streams with Konrad Malawski

In this first of three podcasts with live Q/A, we explore the underlying technologies and approach of Reactive systems. Akka Team member and Reactive Streams contributor Konrad Malawski will detail what you should know about:The differences and trade-offs between synchronous blocking I/O and asynchronous non-blocking I/O, what these mean for execution efficiency as well as code maintainability.The difference between event-driven and message-driven approaches in terms of design considerations in the small and the large as well as the costs and benefits of either way.The role of flow control in Reactive systems, how it impacts service latency and throughput and which technologies are available to help with implementing it.

In this first of three podcasts with live Q/A, we explore the underlying technologies and approach of Reactive systems. Akka Team member and Reactive Streams contributor Konrad Malawski will detail what you should know about: The differences and trade-offs between synchronous blocking I/O and asynchronous non-blocking I/O, what these mean for execution efficiency as well as code maintainability. The difference between event-driven and message-driven approaches in terms of design considerations in the small and the large as well as the costs and benefits of either way. The role of flow control in Reactive systems, how it impacts service latency and throughput and which technologies are available to help with implementing it.

Asynchronous I O, Back - Pressure And The Message - Driven Vs. Event - Driven - Konrad Malawski

Hadoop and all it's ecosystem have settled down for good (or bad) in our hearts and / or minds. It's quite old and has proven to be quite reliable for certain kinds of tasks. Yet one problem still remains - writing Map Reduce jobs in plain Java is really a pain. The API is clunky and does it's best to hide the actual algorithm beneath tons of boilerplate.Luckily there are abstractions on top of it - like the great Cascading library, and the even better Scalding DSL built on top of it.During this talk we'll execute what looks like a Scala map() but using a few dozen worker nodes, and then explore some of the more advanced features of Scalding - like joins, aggregation tricks and tips on how to build not only Jobs, but entire MapReduce Pipelines.Konrad is a late-night passionate dev living by the motto "Life is Study!". His favourite discussion topics range from distributed systems and type systems to capybaras. In those rare times he's not coding, he spreads the joy of computer science, through helping local user groups and whitepaper reading clubs.To view the video visit www.parleys.com.To get started building reactive applications visit http://www.typesafe.com/activator.

Hadoop and all it's ecosystem have settled down for good (or bad) in our hearts and / or minds. It's quite old and has proven to be quite reliable for certain kinds of tasks. Yet one problem still remains - writing Map Reduce jobs in plain Java is really a pain. The API is clunky and does it's best to hide the actual algorithm beneath tons of boilerplate. Luckily there are abstractions on top of it - like the great Cascading library, and the even better Scalding DSL built on top of it. During this talk we'll execute what looks like a Scala map() but using a few dozen worker nodes, and then explore some of the more advanced features of Scalding - like joins, aggregation tricks and tips on how to build not only Jobs, but entire MapReduce Pipelines. Konrad is a late-night passionate dev living by the motto "Life is Study!". His favourite discussion topics range from distributed systems and type systems to capybaras. In those rare times he's not coding, he spreads the joy of computer science, through helping local user groups and whitepaper reading clubs. To view the video visit <a href="http://www.parleys.com" rel="nofollow" target="_blank">www.parleys.com</a>. To get started building reactive applications visit <a href="http://www.typesafe.com/activator" rel="nofollow" target="_blank">http://www.typesafe.com/activator</a>.

Scala Days 2014 - "Scalding - the not-so basics" - Konrad Malawski