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Friday, May 20 • 14:00 - 14:35
Distributing PromQL for Fast and Efficient Kubernetes Fleet Monitoring - Moad Zardab, Red Hat & Filip Petkovski, Shopify

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Both Thanos and Cortex have enabled the cloud native ecosystem to scale Prometheus storage with the use of blocks of data persisted across many clusters into single object storage. Whilst this unlocks cheap long term retention of metrics, it presents a significant challenge of being able to efficiently read and process large volumes of data. This talk outlines the Thanos community's efforts to improve read path performance through query pushdown and query sharding and how it compares with existing Cortex approaches. Thanos deployment's are composed of stores; components that expose a consistent Prometheus compliant read API for retrieving timeseries, and queriers; components that combine raw timeseries and evaluate PromQL expressions against them. Query pushdown gives the opportunity to pre-evaluate these expressions closer to the data, while query sharding breaks down a query into distinct, disassociated datesets that can be computed concurrently thanks to Kubernetes.

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avatar for Filip Petkovski

Filip Petkovski

Staff Production Engineer, Shopify
Filip is a production engineer at Shopify, currently working on observability.

Moad Zardab

Senior Software engineer, Red Hat
Moad Zardab is a Senior Software Engineer at Red Hat with a background in Video Game networking observability, currently working on Observability. Moad is a member of the Red Hat team that maintains Thanos, Prometheus and Observatorium, an opinionated SaaS implementation for all Observability... Read More →

Friday May 20, 2022 14:00 - 14:35 CEST
Pavilion 3, Room F | Level 2 | Central Forum Feria Valencia