Delivering Performance Under Schedule and Resource Pressure: Lessons Learned at Google and Microsoft
Ivan Filho shares lessons learned during the development and release of several large scale services at Microsoft and Google from the perspective of a performance manager.
Scott Vokes presents the algorithms at the heart of most compression tools, as well as how to design protocols and data formats to go with their flow.
Andrew Stellman affirms that having great teams with a collaborative mindset takes more than great people, visionary leaders and good organizers, providing insights into what needs to be added.
Dann Toliver introduces Daimio, a new language for sharing functionality in safe and friendly ways, exploring its internals and how to work with and extend it.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
Jafar Husain, Matthew Podwysocki teach developers to think about events as collections, demonstrating some basic collection operations to express complex asynchronous programs as simple expressions.
David Hussman advises on story mapping: pick an idea, choose someone that might be helped by that idea, build a story map as a way to explore that person’s experience, and start the customer journey.
Philipp Haller explains how to make Rx programming more natural and intuitive by generalizing Scala's Async which, so far, has been used to program with non-blocking futures in a familiar direct style
Greg Young discusses unexpected use cases and possible usages of the Event Store.
Ashley Puls methods and tools that can be used to uncover and resolve performance problems arising in Java web applications that use the Spring Framework.