Building Scalable, Back Pressured Services with Akka
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What does it means for our programs to be asynchronous and back pressured and why is it so important for scalable services?
During this talk, you will explore the following:
Thread per request vs asynchronous services
What back pressure is and how to do it all the way down to the network layer
How to achieve all of this with Akka HTTP and Akka Streams
How it compares to other tools for asynchronous programming e.g. CompletableFutures, Observables
Time permitting, you will also discover a demo on a networked application sending back pressure through the application layer, through TCP and into the client application.
YOU MAY ALSO LIKE:
- The JVM and Docker (SkillsCast recorded in June 2016)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Lightbend Scala Language - Expert (in London on 11th - 13th September 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Keynote by Valentin Kasas on The Last Frontier and Beyond (in London on 20th August 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (SkillsCast recorded in June 2019)
- How To Build a Social Network Entirely on Serverless (SkillsCast recorded in May 2019)
Thanks to our sponsors
Building Scalable, Back Pressured Services with Akka
Christopher Batey
Christopher is a Senior Engineer at Lightbend. He is currently on the core Akka team responsible for developing Akka (https://akka.io/), Akka Http, Akka Streams, Reactive Kafka and Alpakka (https://github.com/akka/alpakka). He has previously built trading systems, online television platforms and worked extensively with Apache Cassandra. Likes: Scala, Java, the JVM, Akka, distributed databases, XP, TDD, Pairing. Dislikes: Untested software and code ownership.
Please log in to watch this conference skillscast.
What does it means for our programs to be asynchronous and back pressured and why is it so important for scalable services?
During this talk, you will explore the following:
Thread per request vs asynchronous services
What back pressure is and how to do it all the way down to the network layer
How to achieve all of this with Akka HTTP and Akka Streams
How it compares to other tools for asynchronous programming e.g. CompletableFutures, Observables
Time permitting, you will also discover a demo on a networked application sending back pressure through the application layer, through TCP and into the client application.
YOU MAY ALSO LIKE:
- The JVM and Docker (SkillsCast recorded in June 2016)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Lightbend Scala Language - Expert (in London on 11th - 13th September 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Keynote by Valentin Kasas on The Last Frontier and Beyond (in London on 20th August 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (SkillsCast recorded in June 2019)
- How To Build a Social Network Entirely on Serverless (SkillsCast recorded in May 2019)
Thanks to our sponsors
Building Scalable, Back Pressured Services with Akka
Christopher Batey
Christopher is a Senior Engineer at Lightbend. He is currently on the core Akka team responsible for developing Akka (https://akka.io/), Akka Http, Akka Streams, Reactive Kafka and Alpakka (https://github.com/akka/alpakka). He has previously built trading systems, online television platforms and worked extensively with Apache Cassandra. Likes: Scala, Java, the JVM, Akka, distributed databases, XP, TDD, Pairing. Dislikes: Untested software and code ownership.