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Algolia - Hosted Search API

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enterprisesearchmeetup

Algolia is a distributed Search-as-a-Service API that processes more than 4 billions user-generated queries per month. Algolia’s DNA is performance: Algolia's service is optimized to reply in milliseconds from any location worldwide while maintaining high availability. Sylvain will provide you details on Algolia architecture, showing how they have designed their fault tolerant service and how they cracked the website & in-app search. http://www.meetup.com/Enterprise-Search-and-Analytics-Meetup/events/223926122/

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Instant Search API Build Unique Search Experiences Sylvain Utard VP of Engineering sylvain@algolia.com @sylvainutard Enterprise Search and Analytics
@algolia Who am I? 5 years @ Exalead, leading the core-engine & NLP teams • C++ • ExaScript (RIP) • Java 2 years @ Algolia, VP of Engineering • C++ • Ruby • Java • and 10+ other languages… @sylvainutard
@algolia A hosted search API
@algolia A hosted search API
@algolia
@algolia A hosted search API Replies in milliseconds
@algolia A hosted search API Replies in milliseconds From anywhere
@algolia A hosted search API Replies in milliseconds From anywhere With intuitive relevance
@algolia Algolia Today
@algolia 800+customers in 80+ countries Algolia Today
@algolia 800+customers in 80+ countries 40B+ Write operationsper month 4B+ User-generated queriesper month Algolia Today
@algolia Algolia Today 13locations 800+customers in 80+ countries 40B+ Write operationsper month 4B+ User-generated queriesper month
@algolia Performance is our DNA
@algolia Speed matters Half a second delay
 caused 20% drop in traffic Every 100ms of latency
 costs them 1% in sales
@algolia Behind the scene
@algolia Unique set of constraints High volume of Read & Write operations
@algolia Unique set of constraints High volume of Read & Write operations High-availability
@algolia Unique set of constraints High volume of Read & Write operations High-availability Worldwide data distribution
@algolia API Software Stack Started as a mobile offline SDK Written in C++ Search code embedded in Nginx as a module Indexing is done in a separate process Two redis instances
@algolia API Hardware Fast CPU (Xeon E5 >3.5GHz) In Memory (128GB) Backed by High-end SSD in Raid-0 (800GB) Specific kernel settings
@algolia Scaling horizontally Several clusters per location A user is assigned to one master cluster A user can be replicated to N replicate clusters
@algolia What is a cluster Master-Master Stream of writes via Consensus At least 3 machines
@algolia A write in practice One of the machines accept the write operation via the API (https) /1/indexes/MyFirstIndex/batch
@algolia A write in practice The file is saved on the three machines as a temporary file tmp1265 tmp7864 tmp2357
@algolia A write in practice Launch the consensus by contacting the RAFT master startConsensus(tmp2357, tmp7864, tmp1265)
@algolia A write in practice 1 -Master send the commit order to all nodes 2- Each node returns the next job ID to master 3- If there is a majority the file is committed
@algolia A write in practice Same job ID on all hosts Send to slave replicate in parallel Processed in parallel on all hosts job42 job42 job42
@algolia In case one host is down Continue to accept writes The two other hosts keep jobs Jobs are sequential, will catch up at restart job42job42
@algolia Distribution Replicate jobs, not the result Send to all machines in parallel Consistent with few seconds delay
@algolia High availability Multi-regions in one location
@algolia High availability 13 fully independent locations
@algolia Network Optimisations API usage moving from servers to browser and mobile apps Get close to end users
@algolia Distributed Search Network - Worldwide Synchronization
@algolia Distributed Search Network - Worldwide Synchronization
@algolia • 13 locations = 25 datacenters • No ideal worldwide provider • AWS is not in India, Eastern EU, Africa… • Need to handle several providers • Anticipate long deliveries / customs • Keep as few providers as possible Distributed Search Network - Worldwide Synchronization
@algolia DNS is key Used to find the closest location Several DNS providers Good anycast network
@algolia API Clients DNS health checks are not enough Smart retry logic in all our API Clients
@algolia Analytics • What are my users searching for? • Top search • Top search without hits • Top refinements • From where do they search for?
@algolia
@algolia
@algolia Analytics • Billions of user-generated queries per month • As-you-type aggregation • ~3 months retentions • Storing all of them in…
@algolia Analytics • Elasticsearch o/ • … without FTS :) • but with aggregations
@algolia Analytics• No FTS • No source • Doc values everywhere • SSD only • Custom aggregations (deprecated since ES 1.1.0)
@algolia Top-k Aggregation • Before • Linear memory consumption • Exhaustivity • After • Constant memory consumption • Approximative but enough
@algolia Building your worldwide infra - Is long and difficult quest - Is a real asset & differentiator The Future of APIs is Distributed
@algolia All the details of our architecture are on HighScalability.com Want to know more?
THANK YOU! sylvain@algolia.com @algolia Build Unique Search Experiences W e are hiring in SF, NYC and Paris 😊

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