64 lines
3 KiB
Plaintext
64 lines
3 KiB
Plaintext
---
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layout: docs
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page_title: Autoscaling
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description: |-
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Overview of the Nomad Autoscaler that provides horizontal application and
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cluster scaling.
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---
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# Nomad Autoscaler Overview
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This section details the Nomad Autoscaler, a horizontal application and cluster
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autoscaler for Nomad. The Nomad Autoscaler is built and released separately to
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Nomad. The source code can be viewed on [GitHub][autoscaler_github] and releases
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are available on the [HashiCorp releases page][autoscaler_releases] or via
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[Docker Hub][autoscaler_dockerhub].
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The Nomad Autoscaler repository includes a number of [demos][autoscaler_demo]
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which provide guided learning on running the autoscaler.
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## Horizontal Application Autoscaling
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Horizontal application autoscaling is the process of automatically controlling the
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number of instances of an application to have sufficient work throughput to meet
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service-level agreements (SLA). In Nomad, horizontal application autoscaling can
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be achieved by modifying the number of allocations in a task group based on the
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value of a relevant metric, such as CPU and memory utilization or number of open
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connections. This is enabled by configuring [autoscaling policies][autoscaling_policy]
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on individual Nomad jobs using the [`scaling` block][scaling_block].
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## Horizontal Cluster Autoscaling
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Horizontal cluster autoscaling is the process of adding or removing Nomad clients
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from a cluster to ensure there is an appropriate amount of cluster resource for
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the scheduled applications. This is achieved by interacting with remote providers
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to start or terminate new Nomad clients based on metrics such as the remaining
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free schedulable CPU or memory. Cluster scaling is enabled by configuring the
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[autoscaler agent](/docs/autoscaling/agent#dir) with policies targeting the Nomad
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cluster.
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## Dynamic Application Sizing
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<EnterpriseAlert>
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This functionality only exists in Nomad Autoscaler Enterprise. This is not
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present in the open source version of Nomad Autoscaler.
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</EnterpriseAlert>
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Dynamic Application Sizing enables organizations to optimize the resource
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consumption of applications using sizing recommendations from Nomad. It evaluates,
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processes and stores historical task resource usage data, making recommendations
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for CPU and Memory resource parameters. The recommendations can be calculated
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using a number of different algorithms to ensure the recommendation best fits
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the application profile.
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Dynamic Application Sizing can be enabled on an individual task by configuring
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[autoscaling policies][autoscaling_policy] within the task stanza using the job
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specification [`scaling` block][scaling_block].
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[scaling_block]: /docs/job-specification/scaling#scaling-stanza
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[autoscaling_policy]: /docs/autoscaling/policy
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[autoscaler_github]: https://github.com/hashicorp/nomad-autoscaler
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[autoscaler_releases]: https://releases.hashicorp.com/nomad-autoscaler/
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[autoscaler_dockerhub]: https://hub.docker.com/r/hashicorp/nomad-autoscaler
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[autoscaler_demo]: https://github.com/hashicorp/nomad-autoscaler-demos
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