Distributed Systems

John Looney spent more than 10 years at Google. He started with infrastructure, and was part of the team that migrated Google File System to Colossus, the successor to GFS. Imagine

Deep learning allows engineers to build models that can make decisions based on training data. These models improve over time using stochastic gradient descent. When a model gets big

A new programmer learns to build applications using data structures like a queue, a cache, or a database. Modern cloud applications are built using more sophisticated tools like Redis,

Servers in a data center fail. Sometimes entire data centers have a power outage. Bugs in an application make it into production. Human operators make mistakes and cause data to be

Deep learning uses neural networks to identify patterns. Neural networks allow us to sequence “layers” of computing, with each layer using learning algorithms such as unsupervised