From October 2016 to May 2017, Lyft was Amazon's biggest hosted Elasticsearch customer and most frequent support headache. After quickly scaling to the maximum supported size — and then beyond — Lyft found themselves keeping one big support ticket open to address daily (and sometimes hourly) incidents. It was clearly time for a change. After two intense weeks of migration, Lyft became self-hosted, and both companies breathed a sigh of relief.
How did Lyft get there from here? What are the pros and cons of cloud versus self-hosted Elasticsearch deployments? And what has Lyft learned from almost a year of operating their own cluster? Michael Goldsby of Lyft's observability team talks you through the joys and sorrows of scaling a logging cluster from 300,000 to 3 million events per minute.
Want to learn more about the differences between the Amazon Elasticsearch Service and our official Elasticsearch Service? Visit our AWS Elasticsearch comparison page.