Chris Richardson describes how to use aggregates to design modular business logic that can be partitioned into microservices.
Tyler McMullen discusses load balancing techniques and algorithms such as Randomized Least-conns, Join-Idle-Queue, and Load Interpretation.
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.
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.
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
John Rizzo introduces Twitch's chat's architecture, telling how their engineers investigated and worked through the issues in what turned out to be a make-or-break situation for the company.
Mario Aquino demonstrates deploying services to the AWS Lambda platform, configuring these services, and interacting with them through logging and monitoring.
Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.
Matt Ranney talks about the limits that some companies have encountered in their large microservices deployments and some non-microservices approaches to those same problems.
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
Bob Duncan reviews the key ingredients of micro-interactions, sharing examples of successful ones and how they've shaped the products, discussing how to add micro-interactions to a workflow.
Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.