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.
Aaron Spiegel reviews common scaling techniques for both relational and NoSQL databases, discussing trade-offs of these techniques and their effect on query flexibility, transactions and consistency.
Noriaki Tatsumi discusses building a microservices architecture on Spring Cloud that's reliable, resilient, and scalable.
Adam Krieger discusses why containers have an impact on the entire organization, not just the developers through scalability, confidence of isolation and the reduction of cycle time.
Mikey Cohen presents real examples of how gateway services, built on top of Netflix's Open source project, Zuul, are used in front of nearly all of Netflix's consumer facing traffic
Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.
Will Ballard explains how small teams turning into large teams do more than change size-they change structure and add policies aimed at preventing mistakes rather than capturing the best outcomes.
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
Paul Sears discusses the decisions to be made and questions asked when establishing the architecture and technologies to be used for a web application that scales and can adapt to change.
Ian Fyfe discusses the different options for implementing speed-of-thought business analytics and machine learning tools directly on top of Hadoop.
Ed Anuff and Carlos Eberhardt talk about the experience building one of the first Service Brokers to leverage route services with Apigee quota enforcement, spike arrests, and content caching.
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