LinkedIn: Creating A Low Latency Change Data Capture System With Databus
This is a guest post by Siddharth Anand, a senior member of LinkedIn's Distributed Data Systems team. Over the past 3 years, I've had the good fortune to work with many emerging NoSQL products in the context of supporting the needs of a high-traffic, customer facing web site. In 2010, I helped Netflix to successfully transition its web scale use-cases from Oracle to SimpleDB, AWS' hosted database
NoSQL Data Modeling Techniques
NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like the CAP theorem apply well to NoSQL systems. At the same time, NoSQL
How Twitter Stores 250 Million Tweets a Day Using MySQL - High Scalability -
Jeremy Cole, a DBA Team Lead/Database Architect at Twitter, gave a really good talk at the O'Reilly MySQL conference: Big and Small Data at @Twitter, where the topic was thinking of Twitter from the data perspective. One of the interesting stories he told was of the transition from Twitter's old way of storing tweets using temporal sharding, to a more distributed approach using a new tweet store c
O'Reilly OSCON Java 2011: Raffi Krikorian, "Twitter: From Ruby on Rails to the JVM"
"Twitter: From Ruby on Rails to the JVM" Raffi Krikorian Twitter At Twitter, @raffi leads the Applications Services group, the custodians of Twitter's core logic -- his teams manage, amongst other things, the business logic, scalable delivery, APIs, and authentication of Twitter's application. Previously, he was the lead of the public APIs as well as being the one of those behind Twitter's Geos
Netty: Home
Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Netty is an NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server. 'Quick and ea
petrohi.me - petrohi リソースおよび情報
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How FriendFeed uses MySQL to store schema-less data - Bret Taylor's blog
Background We use MySQL for storing all of the data in FriendFeed. Our database has grown a lot as our user base has grown. We now store over 250 million entries and a bunch of other data, from comments and "likes" to friend lists. As our database has grown, we have tried to iteratively deal with the scaling issues that come with rapid growth. We did the typical things, like using read slaves and
Varnish HTTP Cache — Varnish HTTP Cache
Varnish HTTP Cache¶ I’m new here, please explain this Varnish thing What is happening¶ 2024-02-06 - SLASH/ 1.0.0-rc1¶ Celebrating the 18th anniversary of Varnish-Cache and the first anniversary of the SLASH/ storage engines today, your Open-Source Varnish-Cache friends from UPLEX have just tagged the first version 1.0.0 candidate of our extension with storage engines (stevedores) and storage route
Scalable System Design Patterns
Looking back after 2.5 years since my previous post on scalable system design techniques, I've observed an emergence of a set of commonly used design patterns. Here is my attempt to capture and share them. Load Balancer In this model, there is a dispatcher that determines which worker instance will handle the request based on different policies. The application should best be "stateless" so any wo
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Amazon.com: Art of Scalability, The: Scalable Web Architecture, Processes, and Organizations for the Modern Enterprise: Abbott, Martin L. Fisher, Michael T.: Books