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Netflix Technology

I attended a meetup at Netflix last evening titled “Polyglot Persistence at Netflix”, The Cloud Development Engineering (CDE) team presented various aspects of building and maintaining a highly distributed system to meet its ever-growing customer needs. There are almost 160 million users and with its growing popularity of streaming movies and TV shows (many are produced now by Netflix), the demand on its systems is growing rapidly. Polyglot implies the coexistence of many databases and associated software systems.

Netflix cloud platform forms a layer of services, tools, frameworks and technologies that run on top of AWS EC2 in order to implement an efficient and nimble (fast reacting), highly available, globally distributed, scalable and performant solution. They switched over to AWS Cloud over a seven-year period starting back in 2009. It uses Amazon’s RDS and DynamoDB besides S3 for lower cost storage. The front-end is Node.js while the backend uses Java, Python, and Javascript. The team also described how they are using SSD (solid state device) besides memory cache. The main thrust of the evening talk was their use of Cassandra as the distributed database solution.

Apache Cassandra was originally developed at Facebook as a free, open-source, highly scalable, high performance distributed database to handle large amounts of data across many servers with no single point of failure. This global network of storage servers caches content locally to where it will be viewed. This local caching reduces bandwidth costs, reduces latency, and makes it easier to scale the service over a wide area, in this case globally. Here are the key reasons Netflix is a major user of Cassandra (besides others like eBay, Apple, Comcast, Instagram and Reddit):

  • Very large production deployment – 2500 nodes, 420 TB, over 1 Trillion user requests per day. Cassandra is a NOSQL, distributed, document-oriented database that scales horizontally and dynamically as more servers are added without need to re-shard or reboot.
  • Strong write performance with no network performance bottleneck.
  • It’s data model is highly flexible. A sparse 2-dimensional “super column family” architecture allows for rich data model representation (and better performance) beyond just key-value lookup.
  • It’s geographic capabilities – single global cluster can simultaneously replicate data asynchronously as well as service applications across multiple locations. Th eteam last evening showed how users can seamlessly switch over to another data center if failure occurs. Cassandra has been a good choice for cross-data center and cross-regional deployment as customisable replication helps determine which cluster nodes to designate as replicas.

Like Youtube, Netflix has been growing its global reach and customers in providing streaming contents. The key success factor is the database technology to enable such high scale and performance. Other databases like RDS, DynamoDB and MySQL are providing varieties of function such as analytics and metadata store. One impressive part of last evening’s presentation was how they repair any damage to data on the fly by embedding it into the database itself.

Read the original blog entry...

More Stories By Jnan Dash

Jnan Dash is Senior Advisor at EZShield Inc., Advisor at ScaleDB and Board Member at Compassites Software Solutions. He has lived in Silicon Valley since 1979. Formerly he was the Chief Strategy Officer (Consulting) at Curl Inc., before which he spent ten years at Oracle Corporation and was the Group Vice President, Systems Architecture and Technology till 2002. He was responsible for setting Oracle's core database and application server product directions and interacted with customers worldwide in translating future needs to product plans. Before that he spent 16 years at IBM. He blogs at http://jnandash.ulitzer.com.

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