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You're reading from  Hands-On Infrastructure Monitoring with Prometheus

Product typeBook
Published inMay 2019
PublisherPackt
ISBN-139781789612349
Edition1st Edition
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Authors (2):
Joel Bastos
Joel Bastos
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Joel Bastos

Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.
Read more about Joel Bastos

Pedro Araújo
Pedro Araújo
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Pedro Araújo

Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.
Read more about Pedro Araújo

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Chapter 13, Scaling and Federating Prometheus

  1. You should consider sharding when you're sure a single instance isn't enough to handle the load, and you can't run it with more resources.
  2. Vertical sharding is used to split scrape workload according to responsibility (for example, by function or team), where each Prometheus shard scrapes different jobs. Horizontal sharding splits loads from a single scrape job into multiple Prometheus instances.
  3. To reduce the ingestion load on a Prometheus instance, you should consider dropping unnecessary metrics through the use of metric_relabel_configs rules, or by increasing the scrape interval so that fewer samples are ingested in total.
  4. Instance-level Prometheus servers should federate job-level aggregate metrics. Job-level Prometheus servers should federate datacenter-level aggregate metrics.
  5. You might need to use metrics only...
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Hands-On Infrastructure Monitoring with Prometheus
Published in: May 2019Publisher: PacktISBN-13: 9781789612349

Authors (2)

author image
Joel Bastos

Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.
Read more about Joel Bastos

author image
Pedro Araújo

Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.
Read more about Pedro Araújo