Frances Perry and Tyler Akidau discuss Apache Beam, out-of-order stream processing, and how Beam’s tools for reasoning simplify complex tasks.
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.
Uttara Sridhar dives deep into the architecture behind Amazon ECS and demonstrates the key features to build and run a container-based application on Amazon ECS.
Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.
Chase Aucoin explains using Microsoft Service Fabric to create microservices, demoing how to migrate existing services to Service Fabric.
Kevin Hoffmann and Chris Umbel discuss building .NET microservices and deploying them to the Spring Cloud.
Agim Emruli presents common patterns and best-practices to run the application on the AWS cloud and how to use the platform provided services efficiently.
Travis Cherry and Mary Ann Wayer discuss monolithic architectural patterns, JBoss apps, lessons learned moving to Spring MVC SPA, then microservices with Spring Boot, Netflix OSS and Spring Cloud.
John Blum and Luke Shannon present and code a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on CloudFoundry.
Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.
Mario Aquino demonstrates deploying services to the AWS Lambda platform, configuring these services, and interacting with them through logging and monitoring.