View presentations by conference
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50:13
Effective Java, Third Edition - Keepin' it Effective
Joshua Bloch covers some highlights from the third edition of “Effective Java”, concentrating on streams and lambdas.
44:17
Control Planes: Designing Infrastructure for Rapid Iteration
Mohit Gupta shares Clever’s learnings on how to build developer control planes to allow our infrastructure team to make changes without disrupting engineers.
38:51
Java 11 - Keeping the Java Release Train on the Right Track
Jeanne Boyarsky reviews code examples of the new features in Java 11, and also features of Java 10. She also discusses the impact of the new Java release train on production code.
49:28
Chick-Fil-A: Milking the Most Out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
35:49
Leaning towards the Future
Torbjörn Gyllebring envisions a future in which teams are refocusing on people, embracing their humanness and redesigning systems to meet human needs.
36:58
Blockchain in Healthcare
Karim Babay discusses how HealthSapiens addresses some of the issues healthcare is facing: high costs, difficulty accessing EMRs, insurance provider network restrictions, lack of transparency, etc..
44:23
Bringing DevOps into the Enterprise
Martin Alfke discusses issues enterprises have when adopting new methods, covering reactions from tech people, project managers used with waterfall, departments refusing change, and C managers.
38:18
Beyond Budgeting – Business Agility for New Business and People Realities
Bjarte Bogsnes discusses how Statoil approaches management, including budgeting, based on Beyond Budgeting principles.
45:04
The Evolution of a Portfolio Wall
Greg Cempla and Anna Miedzianowska discuss the Portofolio Wall used by Ocado to have global visibility and to aid collaboration across hundreds of people in four development centers.
49:07
R for AI developers
David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.
48:17
Google Dataflow Codelab
Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.
50:52
Optimizing for Production Workloads
S. Ortiz & D. Walsh discuss breaking down the containers runtimes into their base functionality and then building them up into a series or core libraries and tools to specialize in core capabilities.
