Christopher Meiklejohn - Partisan: high performance large scale distributed Erlang | Code BEAM SF 19

This video was recorded at Code BEAM SF 19 http://bit.ly/2T3Do0U

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PARTISAN: TESTABLE, HIGH PERFORMANCE, LARGE SCALE DISTRIBUTED ERLANG
by Christopher Meiklejohn

THIS TALK IN THREE WORDS:
Partisan
Distributed
Erlang

TALK LEVEL: Intermediate

ABSTRACT
In this talk, Christopher presents the design of an alternative runtime system for improved scalability and reduced latency in distributed actor applications called Partisan.  

Partisan provides higher scalability by allowing the application developer to specify the network overlay used at runtime without changing application semantics, thereby specializing the network communication patterns to the application. Partisan reduces message latency through a combination of three predominately automatic optimizations: parallelism, named channels and affinitized scheduling. Partisan also assists the developer in deployment of their distributed applications by providing orchestration through Kubernetes, Mesos or Docker. Finally, Christopher presents preliminary work on improving the resiliency of your distributed applications through Partisan's new fault-injection framework.

Read the full abstract: https://codesync.global/speaker/chris...

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THE SPEAKER - CHRISTOPHER MEIKLEJOHN
Carnegie Mellon University Ph.D student

Christopher lives for distributed programming.

More on Christopher Meiklejohn: https://codesync.global/speaker/chris...

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#Partisan #DistributedSystems #Erlang