Building a real-time metrics database for trillions of points per day
March 25, 2020
As applications have increased in complexity, so have the queries needed to understand the state and performance of those systems, leading to an explosion in the volume and dimensionality of metrics. Joel Barciauskas outlines how Datadog architected its pipelines, data structures, and storage engines to answer these complex questions, all while scaling to ingest trillions of points per day.
Leveraging the power of the unbundled database
March 24, 2020
Since the mid-1980s, relational databases have been standard for most applications to store and query structured data. As architectures became more complex, databases generalized to fit a variety of use cases. Simplicity was key: storage, indexing, caching, querying, and transaction management, all under a unified SQL. Alex Silva examines how relational databases overcome these challenges.