Peter Alvaro discusses some of the reasons that distributed programming is hard, Lineage-driven Fault Injection, static analysis to check deterministic behaviour, CRDTs, and much more.
Adrian Colyer explains the motivation behind publishing the "Morning Paper" (a blog discussing Computer Science research papers) and mentions some of his favourite papers of the past year.
Neha Narula talks about the latest research and concepts in distributed programming and databases, reducing the overhead of transactions, are multicore systems like distributed systems, and much more.
Mitchell Hashimoto explains how Vagrant, Consul, Terraform and Atlas help developers and ops to set up complex systems and keep them running. Also: Go as a language for tools.
Camille Fournier explains consensus systems ZooKeeper, etcd, and Consul: how they work, what they do, how they differ from each other. Also: must-read papers in distributed programming.
Caitie McCaffrey talks about scaling game backend services for Halo 4 and others, stress & performance testing, the Orleans actor framework, and the future of distributed programming.
Natalia Chechina explains the challenges of scaling distributed Erlang beyond a certain number of systems and how SD Erlang helps to overcome those problems.
Peter Bourgon discusses distributed programming with commutative replicated data types (CRDTs), how they work, what problems they solve, and his experience with using the Go language at SoundCloud.
Chris discusses the rise of CQRS and Event Sourcing as a solution for all domains. With the advent of Docker, applications that manage complex domains can be built tested and deployed in minutes. Chris talks about the reasons for choosing a CQRS and Event Sourced solution as well as how the addition of Docker can help an organization embrace Continuous Delivery by using existing tools.
Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.
Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.
Viktor Klang talks about the features of Akka 2.x and future releases, Akka's approach to fault tolerance, the effort to unify Futures in Scala, and the state of functional programming.