Theo Schlossnagle talks about lessons learned in building an always-on distributed time-series database with aggressive quality of service guarantees, and techniques for dealing with bad machines.
Sunil Sadasivan talks about some of Buffer’s culture experiments to illustrate how cultivating and iterating on a team's culture can improve happiness, employee retention, and overall growth.
Jim Porzak discusses creating an analyst ready data mart that is complete at different levels of abstraction and models customer decision points in order to be able to understand customers.
Melinda Seckington discusses how to become a superhero developer by helping others start with the origin stories, and lessons learned from Marvel superheroes.
Melissa Casey discusses how humans change, adapt, and innovate at work, why closed systems block change, and the impact of hierarchical structures on cultural change efforts.
Jeff Smith shares his experience bringing an Agile way of working to his own organization and to the greater IBM.
Tony Grout and Chris Matts share stories from their several year multi-company journey towards scaled agile, showing how to look at Agile from an organizational perspective and not through tools.
Sandy Mamoli and David Mole share experiences from running self-selection team processes in large organizations and how to establish efficient teams in growing organizations.
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Malgorzata Kusyk discusses the culture needed to embrace change and the skills and competences required from today’s project leaders to remain relevant in a continually changing world.
Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.
Katherine Kirk shares real life, practical steps and techniques that she's successfully used to help solve tough tech people issues with teams, executives and divisions.