One of the substantial benefits of the family of NOSQL (Not only SQL) databases is their tendency to be able to scale predictably. One of the key elements to being able to scale NOSQL databases is sharding, where a large dataset can be broken up and distributed across a number of (typically replicated) shards. For simple data models like Key-Value, Column-family, and Document databases this is a s
By Ilya Grigorik on April 15, 2010 Rails and MySQL go hand in hand. ActiveRecord is perfectly capable of using a number of different databases but MySQL is by far the most popular choice for production deployments. And therein lies a dirty secret: when it comes to performance and 'scalability' of the framework, the Ruby MySQL gem is a serious offender. The presence of the GIL means that concurrenc
Riak KV: flexible data model for many unstructured use cases including user, session and profile data Riak TS: for IoT & other time series data To address global audiences modern web and IoT applications must be built to be highly distributed. But this presents a few challenges. Distributed Systems Challenges: Data Availability Data Accuracy Cost of Scale At Riak, we are distributed systems expert
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
riak - a decentralized key value store - basho technologiesRiak combines a decentralized key-value store, a flexible map/reduce engine, and a friendly HTTP/JSON query interface to provide a database ideally suited for Web applications. A document-oriented Web database Schema-free document databases are in many ways a more natural fit for Web applications than the traditional RDBMS. With interface
Nginx uses an event-driven architecture with a master process that manages worker processes. It handles requests non-blockingly and efficiently using techniques like memory pooling, buffer chaining, and an event-driven model. Key parts of the architecture include phases and handlers for HTTP requests, virtual servers, locations, and filters. Nginx also supports mail proxying and module development
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Kafka 101 This is a guest article by Stanislav Kozlovski, an Apache Kafka Committer. If you would like to connect with Stanislav, you can do so on Twitter and LinkedIn. Originally developed in LinkedIn during 2011, Apache Kafka is one of the most popular open-source Apache projects out there. So far it Capturing A Billion Emo(j)i-ons This blog post was written by Dedeepya Bonthu. This is a repost
Update 6: Some interesting changes from Twitter's Evan Weaver: everything in RAM now, database is a backup; peaks at 300 tweets/second; every tweet followed by average 126 people; vector cache of tweet IDs; row cache; fragment cache; page cache; keep separate caches; GC makes Ruby optimization resistant so went with Scala; Thrift and HTTP are used internally; 100s internal requests for every exter
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