Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
Tom Faulhaber discusses the new container-based toolbox for building systems that are robust in the face of failures, how to recover from failure and how the tools can be used to best effect.
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.
Bernard Traversat discusses JVM enhancements addressing cloud deployment requirements such as G1 GC, segmented code cache, contended locking, and density String.
Tod Golding discusses the architecture and design strategies associated with building and delivering SaaS solutions in a serverless model.
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.
Jie Yu discusses how containers are managed in Mesos, the future of container support in Mesos, and shows some of the new container networking and storage features.
Matthew Mark Miller discusses Kubernetes’ primitives and microservices patterns on top of them, including rolling deployments, stateful services and adding behaviors via sidecars.
Chase Aucoin explains using Microsoft Service Fabric to create microservices, demoing how to migrate existing services to Service Fabric.
Tomas Lin discusses Spinnaker and SpEL, an open source, multi-cloud continuous delivery platform that is used by over 90% of cloud deployments at Netflix.
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.