Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.
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.
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.
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.
Mario Aquino demonstrates deploying services to the AWS Lambda platform, configuring these services, and interacting with them through logging and monitoring.
Peter Mounce discusses CD at JUST EAT, covering package contracts, feature toggling, team sizes and responsibility, AWS AutoScaling, ELB, CloudFormation, build scripts for server images, etc..
Adrian Cockcroft keynotes on the lessons learned so far on cloud computing and applying them to simplify future projects.
Andrew Spyker and Sharma Podila talk about the motivations and the technology powering container deployment on top of the AWS EC2 service, sharing results and lessons learned.
Chien Huey evaluates Marathon running on DC/OS as a replacement for Elastic Beanstalk and/or ECS in terms of functionality, ease of use as well as cost.
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.
Eleanor McHugh discusses writing virtual machines using hardware emulation, including code snippets in Go and C.