Scale By the Bay 2018 has ended

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Scale By the Bay 2018

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8:00am PST

Breakfast and Welcome Commons

9:00am PST

Keynote II: Kafka and the Rise of Event-Driven Microservices functional

9:50am PST

Building a Contacts Graph from activity data data Declarative distributed concurrency in Scala functional Fast Data pipelines with Akka Streams and Alpakka Kafka Connector reactive

10:00am PST

Unconference unconference

10:40am PST

Graph-First Services Using GraphQL data Adopting GraalVM functional Swimming in the stream: A simple data analytics pipeline with Akka Streams reactive

11:10am PST

5 tips to build long-lasting Scala OSS reactive Towards Typesafe Deep Learning in Scala data Rust and Other Interesting Things functional

11:30am PST

Using Akka Streams for Web-scale Data Ingestion reactive

11:50am PST

Enabling Big Data and Machine Learning for the Masses: Creating a Spark Platform for the Uninitiated data You Are a Scala Contributor functional

12:00pm PST

Scaling Bayesian Experimentation reactive

12:30pm PST

1:10pm PST

Getting started with EitherT functional Optimizing network topologies with monadic execution contexts reactive High-performance functional bayesian inference in Scala data

1:40pm PST

How Twitter teaches Scala functional Distinguishing features of production-quality data pipelines reactive

2:10pm PST

FiloDB: Real-time, In-Memory Time Series at Massive SMACK Scale data Scalaz Stream: Rebirth functional Nelson: Functional programming in system design reactive

3:00pm PST

Labels to Inference: A Continuous Sentiment Pipeline data Scala the Cloud Native Way: Lessons Learned from Two Years of Linkerd in Production reactive Play on Dotty: Design Patterns unlocked by Dotty in a Play look-alike demo project functional

3:30pm PST

Scio data processing nirvana at Spotify data Orchestrating Microservices with GraphQL reactive

3:40pm PST

Concurrency with Cats-effect functional

3:55pm PST

Structured Deep Learning with Probabilistic Neural Programs data Data Consistency Patterns in Cloud Native Applications reactive

4:30pm PST

Distributed Deep Learning with Horovod data Fireside Chat with Richard Socher, Chief Scientist, Salesforce functional Stream Processing at Lyft with Flink and Beam reactive

5:10pm PST

Panel II: Data Engineering and AI functional

6:00pm PST

Happy Hour II Commons