Contents in http://antirez.com/post/redis-manifesto.html Introduction to Redis Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set. In order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on your use case, you can persist it either by dumping the dataset to disk every once in a while, or by appending each command to a log. Redis also supports trivial-to-setup master-slave replication, with very fast non-blocking first synchronization, auto-reconnection on net split and so forth. Other features include a simple check-and-set mechanism, pub/sub and configuration settings to make Redis behave like a cache. You can use Redis from most programming languages out there. Redis is written in ANSI C and works in most POSIX systems like Linux, *BSD, OS X and Solaris without external dependencies. There is no official support for Windows builds, although you may have some options.
This perfect example is illustrated by the dialog between Redis (antirez) and memcached (dormando) developers. antirez 1 - On Redis, Memcached, Speed, Benchmarks and The Toilet dormando - Redis VS Memcached (slightly better bench) antirez 2 - An update on the Memcached/Redis benchmark You can see that in the end, the difference between the two solutions is not so staggering, once all technical aspects are considered. Please note both Redis and memcached have been optimized further after these benchmarks ... Finally, when very efficient servers are benchmarked (and stores like Redis or memcached definitely fall in this category), it may be difficult to saturate the server. Sometimes, the performance bottleneck is on client side, and not server-side. In that case, the client (i.e. the benchmark program itself) must be fixed, or perhaps scaled out, in order to reach the maximum throughput.
And many others: Superfeedr Vidiowiki Wish Internet Consulting Ruby Minds Boxcar Zoombu Dark Curse OKNOtizie Moodstocks uses Redis as its main database by means of Ohm . Favstar Heywatch Sharpcloud Wooga for the games &quot;Happy Hospital&quot; and &quot;Monster World&quot; . Sina Weibo Engage PoraOra Leatherbound AuthorityLabs Fotolog TheMatchFixer Check-Host describes their architecture here . ShopSquad localshow.tv PennyAce Nasza Klasa Forrst Surfingbird
New York REDIS Meetup Welcome Session
New York Redis MeetupWelcome Session June 26, 2012 @ayampolskiy @dannygnj
Who Are We? Aleksandr Yampolskiy •CTO of Cinchcast, BlogTalkRadio, and Cinch.FM companies that provide solutions to create, share, measure, and monetize audio content. •Previously head of security and compliance for Gilt Groupe companies •Various leadership roles in Goldman Sachs, Oracle, Microsoft building scalable, enterprise software for IDM, SSO, AuthN/AuthZ. •Ph.D. in Cryptography Danny Gershman •Senior Software Engineer at Cinchcast •Previously held position as Lead Software Engineer at The NewsMarket and Synaptic Digital •Systems Architect at Innovative Systems & Solutions •Specializing in web technologies, caching, and scale.
What is This Meetup?• New York REDIS NOSQL Meetup• Topics of interest: REDIS, NOSQL, Engineering, Entrepreneurs, Open-Source
What is REDIS?• Database?• Caching?• Pub/Sub?• Key/Value Store?• Redis is more like a flexible tool designed to solve specific problems
REDISREmote DIctionary Server (www.redis.io)Key-Value Store “on steroids”Written by Salvatore Sanfilippo (@antirez) in2009. Now up to 2.4.13
Redis Manifesto– Redis is a DSL (Domain Specific Language) that manipulates abstract data types and implemented as a TCP daemon. Keys are binary-safe strings and values are different kinds of abstract data types.– Redis has persistence option but Memory storage is #1.– The Redis API is a direct consequence of fundamental data structures.– Code is like a poem.– We believe designing systems is a fight against complexity. Most of the time the best way to fight complexity is by not creating it at all.– Redis API has two levels: 1) a subset of the API fits naturally into a distributed version of Redis and 2) a more complex API that supports multi-key operations.– We optimize for joy. When there is no longer joy in writing code, the best thing to do is stop. 7
REDIS is Fast• Fast ~100,000 queries per sec.• Compare it with ~30,000 queries per sec for MS SQL Server (if you are lucky)• Kind of like memcached, but values can be persisted and all keys are kept IN MEMORY.
Modern Computer Latency L1 3 cycles Non-blocking L2 14 cycles RAM 250 cycles DISK 41,000,000 cycles Blocking NETWO 240,000,000 cycles RK Ryan Dahl, Yahoo BayJax meetup, May 2010
Data structuresKeys are strings which identify pieces of data(values)Values can be strings, integers, hashes, lists,sets, or sorted setsVarious atomic operations (push, pop, add,read, set, etc.) – after all REDIS is single-threaded 12
ScaleHorizontal (multiple processes)Vertical (master-slave)Master-master via zookeeper
Master-Master ReplicationNative Redis Master-Master replication doesn’texist yet, slated for release end of yearSolution using Apache Zookeeper (http://zookeeper.apache.org/)Checks for status using BLPOPWill promote a slave to master
When Not to Use RedisData is larger than memoryNeed ACID requirementsBig data
Security ConcernsIt is designed to be used only inside trustedenvironment (kind of like MongoDB)Basic password authentication (but it’s sent incleartext)No data encryption support 18
Security RecommendationsConfigure firewall to block inbound access onREDIS portsDon’t run REDIS server as root, and harden theserver it’s onDon’t store sensitive data in there. 19
AOP Caching• Dynamically construct a hash key from argument values.• “Round up” volatile keys such as timestamps• Put into REDIS cache with a configurable TTL• Lookup from cache before SQL server + lazy writes.
Real-time AnalyticsCommunicate from hydrating applicationNodeJS listens to Redis and transmits datato a page using Socket.IOHistorical data is stored in RedisPub/Sub is used to notify listening sockets
Cinchcast is Hiring• Well-funded profitable startup Open Positions: used by millions. •Back-end Architect• Patented technology utilized in a new way. •Lead Front-end Engineer• Medical/dental/etc. benefits.• Great office space in mid-town •If you are good we’ll find a role right near subway.• Flexible hours. Top-notch for you : email@example.com compensation + stock options.