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.
Mario Aquino demonstrates deploying services to the AWS Lambda platform, configuring these services, and interacting with them through logging and monitoring.
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
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.
Alan Ho and Sandeep Murusupalli discuss the right type of protection (OAuth/Throttling) and monitoring (e.g. bot monitoring) needed to be put in place to properly manage microservices.
Bryan Nehl introduces the D3.js visualization library, demonstrating and explaining the code behind some of the more practical and interesting visualizations and charts.
Adam Leventhal introduces DTrace, using a case study o solve a performance problem.
Michael Hausenblas introduces containers, microservices and dealing with security, monitoring and troubleshooting using Apache Mesos/Marathon and Kubernetes.
Luke Kosewski describes Flow, how it adds value to a microservice architecture, what preconditions must be met for such a recovery mechanism to succeed, and tells the story of a 2015 Q4 outage.
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
Jamshid Mahdavi explains how WhatsApp has developed their server components, the deployment processes, and how they monitor, alert, and repair the inevitable failures in a billion-users service.