Metacat: Making Big Data Discoverable and Meaningful at Netflix
by Ajoy Majumdar, Zhen Li Most large companies have numerous data sources with different data formats and large data volumes. These data stores are accessed and analyzed by many people throughout the enterprise. At Netflix, our data warehouse consists of a large number of data sets stored in Amazon S3 (via Hive), Druid, Elasticsearch, Redshift, Snowflake and MySql. Our platform supports Spark, Pre
How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience
By Ben Sykes Ensuring a consistently great Netflix experience while continuously pushing innovative technology updates is no easy feat. How can we be confident that updates are not harming our users? And that we’re actually making measurable improvements when we intend to? Using real-time logs from playback devices as a source of events, we derive measurements in order to understand and quantify h
Re-Architecting the Video Gatekeeper
This is the story about how the Content Setup Engineering team used Hollow, a Netflix OSS technology, to re-architect and simplify an essential component in our content pipeline — delivering a large amount of business value in the process. The ContextEach movie and show on the Netflix service is carefully curated to ensure an optimal viewing experience. The team responsible for this curation is Ti
Beyond Interactive: Notebook Innovation at Netflix
By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, we’re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And we’re making big investments to help make this vision a
Netflix Data Benchmark
The Netflix member experience is offered to 83+ million global members, and delivered using thousands of microservices. These services are owned by multiple teams, each having their own build and release lifecycles, generating a variety of data that is stored in different types of data store systems. The Cloud Database Engineering (CDE) team manages those data store systems, so we run benchmarks t
Announcing EVCache
EVCache is a distributed in-memory caching solution based on memcached & spymemcached that is well integrated with Netflix OSS and AWS EC2 infrastructure. Today we are announcing the open sourcing of EVCache client library on Github. EVCache is an abbreviation for: Ephemeral — The data stored is for a short duration as specified by its TTL (Time To Live).Volatile — The data can disappear any time
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