Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
Randy Shoup discusses modern service architectures at scale, using specific examples from both Google and eBay. He covers some interesting lessons learned in building and operating these sites.
Jessie Frazelle takes a look inside the tools built in Go centered around infrastructure and ops - from Docker to etcd to nsq and more.
John Wilkes shares lessons learned managing clusters at the scale of Google.
Randy Shoup tells war stories from Google and eBay focusing on how to scale code, infrastructure, performance, and operations, along with hard-won lessons learned in scaling them.
Tyler Akidau from Google demonstrates Google's Millwheel, a streaming system that promises low latency, strong consistency, and flexibility without relying on Lambda Architecture.
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
Gabbie Gibson introduces Google Glass, how to use voice commands, touch gestures and its interface, and how to write Glassware apps that run on the device.
Jacob Rutledge introduces Google Glass, what can be done with it and how to get started programming against it with Android SDK, sharing his own experience with it as a consumer and developer.
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.