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Tuesday, May 23 • 15:00 - 16:00
Real-time monitoring/alerting: storing 1TB of logs a day in Elasticsearch

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Building any average complex system in the cloud requires telemetry to be the number one concern: you would probably even start with planning and building it first (or perhaps you wish you had!). As quoted by Werner Vogels “Netflix is a log generating application, that happens to steam video quote” - Logging/Monitoring/Alerting has been central to the success of Netflix.

In ASOS, we currently generate more than 1TB of logs daily that gets stored and analysed in our Elasticsearch cluster for monitoring and alerting purposes. ELK stack (Elasticsearch, Logstash and Kibana) has been a very popular tool for logging and monitoring but tuning ELasticsearch for handling such a load is an art form in itself.

In this talk, we start with an overview of ELK stack (we in ASOS use CoveyorBelt instead of logstash so ECK for us) and then move to sharing what we have learned from trying to scale our Elasticsearch for this load: from tuning various configuration parameters to planning your shards and mapping strategy, this talk has quite a bit to equip you to build or tune an ELK stack in your own company.

avatar for Ali Kheyrollahi

Ali Kheyrollahi

A distributed systems practitioner and machine learning enthusiast, Ali currently is a solution architect building web-scale solutions that handles more load than StackOverflow. A performance and scalability junkie, he loves HTTP, API design and business-modelling DDD-style. He is... Read More →

Tuesday May 23, 2017 15:00 - 16:00 CEST
Room 4