Cache. While Cache is ~3% of our infrastructure, it is critical for Twitter. … We use a few cache technologies, like Redis and Twemcache, at enormous scale.
Does Twitter still use Redis?
Redis was first used within Twitter in 2010 for the Timeline service. It is also used in the Ads service. The on disk features of Redis are not used. Partly this is because inside Twitter the Cache and Storage services are in different teams so they use whatever mechanisms they think best.
Which database does Twitter use?
Twitter was built on MySQL and originally all data was stored on it. We went from a small database instance to a large one, and eventually many large database clusters.
What is twitter built with?
Twitter was built using Ruby on Rails, a specialized Web-application framework for the Ruby computer programming language. Its interface allows open adaptation and integration with other online services.
What database does Twitter use to store tweets?
Gizzard is Twitter’s distributed data storage framework built on top of MySQL (InnoDB). InnoDB was chosen because it doesn’t corrupt data. Gizzard is just a datastore. Data is fed in and you get it back out again.
When should I use Redis?
Redis is a great choice for implementing a highly available in-memory cache to decrease data access latency, increase throughput, and ease the load off your relational or NoSQL database and application.
Does Twitter have their own servers?
Twitter has long relied on its own data centers to store and show text, photos and videos. Under a multiyear deal announced on Tuesday, Twitter will use the Amazon.com Inc. unit to provide “global cloud infrastructure to deliver Twitter timelines,” supplementing the social media company’s own computing capacity.
Which database does Amazon use?
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS).
Amazon Relational Database Service.
|Type||relational database SaaS|
Does Google use SQL?
Google also wanted a relational database that uses SQL – the popular database programming language; plus it needed to be low-latency and highly reliable. In 2012 after almost a decade of development, Google released a research paper describing Spanner and its use cases within Google.
Why does Twitter use SQL?
Cache: Our Redis and Memcache clusters: caching our users, timelines, tweets and more. SQL: This includes MySQL, PostgreSQL and Vertica. MySQL/PosgreSQL are used where we need strong consistency, managing ads campaign, ads exchange as well as internal tools.
Why is it called twitter?
Dorsey has always been fasciated how cities communicate in real-time. The original name was called “Status,” but after searching through the dictionary, he found the word Twitter. The definition was “a short burst of inconsequential information, and chirps from birds.” That’s exactly what the product was.
What front-end does Twitter use?
Twitter mostly uses Ruby on Rails for their front-end and primarily Scala and Java for back-end services. They use Apache Thrift (originally developed by Facebook) to communicate between different internal services. For storage they use MySQL and Cassandra that are accessed by various services through Thrift.
What frontend does Twitter use?
Does Twitter still use mysql?
Twitter keeps primary data including interest graph, timelines, user data and tweets in their own version of MySql 5.6. Twitter stores data in hundreds of schemas and their largest cluster is thousands of nodes serving millions of queries per second. The graph service is called a flockdb.
Why does twitter not use a relational database?
Twitter needs to store more data per day than it can reliably write to a single hard drive, so it needs to store data on clusters. … Instead, Twitter uses Hadoop and its own open-source project called FlockDB.
Which database is used by Google?
Bigtable. Bigtable is a distributed storage system (built by Google) for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance.