Maslow's Hierarchy of Needs for Databases
Are you an accidental DBA? A software engineer, operations engineer, or startup founder who suddenly found yourself responsible for designing/scaling/not destroying a bunch of data? Hey, me too! We should form a support group or something. In this talk we’ll cover devops/DBA best practices from the earliest seed stages (survival, selecting the right storage layer) all the way up through what you should expect from a mature, self-actualized database tier. Along the way we’ll talk about how to ensure that your databases are a first-class citizen of your engineering and operational processes (love and belonging), and how your observability and reliability requirements are likely to evolve along with your organization as it matures.
CEO/cofounder of honeycomb.io. Honeycomb combines the raw accuracy of log aggregators, the speed of time series metrics, and the flexibility of APM (application performance metrics) to provide the world's first truly next-generation analytics service. Previously ran operations at Parse/Facebook, managing a massive fleet of MongoDB replica sets as well as Redis, Cassandra, and MySQL. Worked closely with the RocksDB team at Facebook to develop and roll out the world's first Mongo+Rocks deployment using the pluggable storage engine API.