At the Metrics team we have been working on time series for several years. From our experience the data analytics capabilities of a Time Series Database (TSDB) platform is a key factor to create value from your metrics. And these analytics capabilities are mostly defined by the query languages they support. TSL stands for Time Series Language. In a few words, TSL is an abstracted way, under the form of an HTTP proxy, to generate queries for different TSDB backends. Currently it supports Warp 10's WarpScript and Prometheus' PromQL query languages but we aim to extend the support to other major TSDB. (...)
OVH relies extensively on metrics to effectively monitor its entire stack. Whenever they are low-level or business centric, they allow teams to gain insight into how our services are operating on a daily basis. The need to store millions of datapoints per second has produced the need to create a dedicated team to build a operate a product to handle that load: Metrics Data Platform. By relying on Apache Hbase, Apache Kafka and Warp 10, we succeeded in creating a fully distributed platform that is handling all our metrics... and yours! After building the platform to deal with all those metrics, our next challenge was to build one of the most needed feature for Metrics: Alerting.
C’est la rentrée de l’émission « Tech a Break ». Pour ce numéro notre présentateur Rémy Vandepoel reçoit Steven Le Roux, Directeur Technique chez OVH, en charge des solutions Data Platforms. A travers des démos et des cas d’usage, Steven nous explique comment utiliser les services Logs et Metrics pour faire de l’Observability, autrement dit comment structurer ses données pour pouvoir être proactif et anticiper. Au sommaire : 0:32 / Observability le concept 1:16 / Logs 3:18 / Démos Dashboards 4:12 / Metrics 5:40 / Démo PAD 7:30 / Cas clients 9:08 / Next features