Distributed Systems

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

Cloud computing has pushed computation away from our own private servers and into virtual machines running on a data center. In the world of cloud computing, processing is centralized in