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Scale By the Bay 2019
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data
functional
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reactive
sharing meals with old and new friends
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#1
Next-Level Diagnostics for Async & Concurrent Errors with ZIO
#2
Serverless Scala - Functions as SuperDuperMicroServices
#3
High Performance Serverless Functions in Scala
#4
Change Data Capture in Distributed Systems
#5
Maximizing Throughput and Scalability for Akka Streams
#6
To Spark or Not to Spark
#7
Delta Lake: Open Source Reliability and Quality for Data Lakes
#8
Everything old is new: today's infrastructure as yesterday's Internet
#9
Deploy end to end ML pipeline using Apache spark streaming and kubernetes.
#10
The Renaissance for Big Data and Parallelism with GraalVM
#11
Finding Needles In Big Data Haystacks using Finite State Machine
#12
Run Like a Boss in Cloud: How Istio and Kubernetes are Changing the Microservices Completely
#13
Reliable Machine Learning
#14
Serverless Event-Driven Data Pipeline Platform
#15
Fast and scalable domain-specific knowledge graphs generation
#16
Integrating Developer Experiences - Build Server Protocol and beyond
#17
8 Keys for Successful Serverless Architectures
#18
Integrating React with Scala: delivering incremental value in a legacy Play web application
#19
Dagster: a Framework for Data Processing Applications
#20
Growing the Scala Community
#21
Moonshot Spark: serverless with GraalVM
#22
Linkerd and the Service Mesh
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sharing meals with old and new friends
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Ricardo Aravena
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