Scale By the Bay 2020 has ended

Create Your Own Event

Scale By the Bay 2020

6:30am PST

Grand Welcome and Opening Remarks cloud

6:45am PST

Countdown to 3 cloud

8:00am PST

C-chain: the Integration of 5G and real time Blockchain cloud Monocle 3: a peek into the future functional

8:45am PST

Project Loom? Better Futures? What’s next for JVM concurrent programming cloud Materialize Typeclasses with Magnolia functional

9:30am PST

Scaling Databricks to Run Data and AI Workloads on Millions of VMs cloud

10:45am PST

Acting Lessons for Scala Engineers with Akka and ZIO cloud Reproducible Data Pipelines Using Controlled Effects functional

11:30am PST

When the Only Way to Scale up, is to Scale Down cloud TypeScript - You'll Like It functional

12:00pm PST

Lunch break cloud

12:30pm PST

Will AI Kill Programming? cloud

2:00pm PST

Were Microservices a Huge Mistake? cloud

3:15pm PST

Apache Spark meets FIPS standard cloud Query Planning in GraphQL functional

3:45pm PST

afternoon break hallway lunch

4:15pm PST

Ray: A System for High-performance, Distributed Machine Learning Applications cloud Applicative: The Origin Story functional

5:00pm PST

Event Streaming with Kafka Streams cloud Functional implementation of Finger Trees in JavaScript functional Enhancing Spark's Power with ZIO prerecorded

5:45pm PST

Multi-language Runtime Environments for Smart Contract Execution cloud A tour of String diagrams and Monoidal categories functional

6:45am PST

Second Day Opening Remarks cloud

7:00am PST

Spreading the JAMstack cloud AIoT: Why now? And How To? data

7:45am PST

How Micro-Service Patterns Change When the Database Is a Scalable API cloud Put Your Machine Learning on Autopilot data

8:30am PST

Keynote: Apache Pulsar @ Splunk cloud

9:30am PST

Keynote: Next-generation frameworks for Large-scale AI cloud

10:05am PST

Cloudflow: Spark, Flink, and Akka Working together on Kubernetes cloud Goku Flow: A Self-Service Data Pipeline Builder data

10:45am PST

8 Lessons Learned from using Kafka with 1000 Scala microservices cloud Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads data

11:00am PST

Scalac booth: Exploring ZIO Prelude: The game-changer for typeclasses in Scala! hallway lunch

11:30am PST

Conquering All Stores with Gimel – A Unified Data Processing Platform cloud A Reinforcement Learning Framework in Scala 3 data

12:00pm PST

Lunch break cloud Netflix booth: AMA on Polynote hallway coffee

12:30pm PST

Programming Languages in the Era of the Cloud cloud

1:45pm PST

Rebuilding Twitter’s public API cloud Automate the boring ML stuff with pipelines data

2:30pm PST

Cloud-Native Apache Spark: why and how to migrate your Spark pipelines to Kubernetes cloud Programming machine learning algorithms in hardware, sanely, using Haskell and Rust! data Packaging & Deployment Options for Scala Applications / Services prerecorded

3:15pm PST

Optimizing Latency-Sensitive Queries for Presto at Facebook cloud Data Science in Scala with ScalaPy data

3:45pm PST

afternoon break cloud

4:15pm PST

Deploying a Modern Serverless Reactive Container to the Cloud cloud NLP text recommender system journey to automated training pipeline with Spark and Sagemaker data

5:00pm PST

The art of being resilient. How to handle failures gracefully in Distributed Systems. cloud State of the art natural language understanding at scale data

5:45pm PST

Getting Things Done in the Scala REPL cloud Smokey and the Multi-Armed Bandit featuring BERT Reynolds data