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.
Jay Phelps leads a discussion with Jafar Husain and Stefan Penner through the history of the TC39 specification process, revealing new features coming to a browser near us: ES2015 and beyond.
Kevin Hoffmann and Chris Umbel discuss building .NET microservices and deploying them to the Spring Cloud.
Marcin Grzejszczak and Reshmi Krishna describe how to do distributed tracing with Spring Cloud Sleuth and Zipkin, demoing incorporating these technologies into an existing stock trading application.
Adrian Cole overviews how to debug latency problems using call graphs created by Zipkin, taking a look at the ecosystem, including tools to trace Ruby, C#, Java and Spring Boot apps.
Clint Checketts discusses the concerns to consider when rolling out a config server around security, encryption, and location of repositories, and Config Server's extensibility.
Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.
Brian Korzynski introduces DocumentDB, a document database offering on the Azure platform: what it is, how to use it, how much it costs, and how it compares to other cloud document database offerings.
Covering the features added to Spring Data REST in recent releases, Oliver Gierke looks at how to integrate manually coded REST resources, tweak representations and work with lookup types.
Shin Tanimoto offers techniques for visualizing microservices built by Spring Boot applications using Elasticsearch, Kibana and Spring Cloud Sleuth.
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.
This talk covers how the Spring Boot and the Cloud Foundry Java Buildpack auto-configuration mechanisms work, their limitations, and how to explicitly configure connections when needed.