Cloud & Networking
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You're reading from  Mastering Prometheus

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781805125662
Edition1st Edition
Concepts
DevOps
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Author (1)
William Hegedus
William Hegedus
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William Hegedus

William Hegedus has worked in tech for over a decade in a variety of roles, culminating in site reliability engineering. He developed a keen interest in Prometheus and observability technologies during his time managing a 24/7 NOC environment and eventually became the first SRE at Linode, one of the foremost independent cloud providers. Linode was acquired by Akamai Technologies in 2022, and now Will manages a team of SREs focused on building the internal observability platform for Akamai's Connected Cloud. His team is responsible for a global fleet of Prometheus servers spanning over two dozen data centers and ingesting millions of data points every second, in addition to operating a suite of other observability tools. Will is an open source advocate and contributor who has contributed code to Prometheus, Thanos, and many other CNCF projects related to Kubernetes and observability. He lives in central Virginia with his wonderful wife, four kids, three cats, two dogs, and a bearded dragon.
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Thanos Query Frontend

Thanos Query Frontend is a service that can be deployed in front of Thanos Query to improve query performance by splitting large-range queries into smaller ones and also caching results. It is based on a similar component implemented by Cortex (https://github.com/cortexproject/cortex), the predecessor to Mimir. You can think of it as a pre-processor of queries, where the majority of actual work is still done by the downstream queries.

Query sharding and splitting

Presuming you run multiple top-level Thanos Query instances, you can put Query Frontend in front of them to share the load between them more efficiently than simply load balancing between the two of them with something such as Nginx. This can be accomplished through query splitting based on time ranges and/or vertical sharding.

Query splitting

By default, the --query-range.split-interval flag is set to split range queries on a 24h interval. This means that if you query sum(my_metric) over...

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Mastering Prometheus
Published in: Apr 2024Publisher: PacktISBN-13: 9781805125662
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
William Hegedus

William Hegedus has worked in tech for over a decade in a variety of roles, culminating in site reliability engineering. He developed a keen interest in Prometheus and observability technologies during his time managing a 24/7 NOC environment and eventually became the first SRE at Linode, one of the foremost independent cloud providers. Linode was acquired by Akamai Technologies in 2022, and now Will manages a team of SREs focused on building the internal observability platform for Akamai's Connected Cloud. His team is responsible for a global fleet of Prometheus servers spanning over two dozen data centers and ingesting millions of data points every second, in addition to operating a suite of other observability tools. Will is an open source advocate and contributor who has contributed code to Prometheus, Thanos, and many other CNCF projects related to Kubernetes and observability. He lives in central Virginia with his wonderful wife, four kids, three cats, two dogs, and a bearded dragon.
Read more about William Hegedus

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