- Presto as a Service in Treasure Data involves deploying Presto using blue-green deployments with no downtime and automatic error recovery of failed queries. - Monitoring Presto involves using its JSON API to view queries and query plans as well as collecting Presto metrics with Fluentd and detecting anomalies. - Benchmarking compares query performance between Presto versions by running predefine
![Presto as a Service �- Tips for operation and monitoring](https://cdn-ak-scissors.b.st-hatena.com/image/square/7e582e017165d7ccf7ba39417e399d28967f4f5b/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2F2015-01-20-prestoasaservice-150120045904-conversion-gate02-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)