42 lines
2.1 KiB
Markdown
42 lines
2.1 KiB
Markdown
---
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layout: "intro"
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page_title: "Nomad vs. Kubernetes"
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sidebar_current: "vs-other-kubernetes"
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description: |-
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Comparison between Nomad and Kubernetes
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---
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# Nomad vs. Kubernetes
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Kubernetes is an orchestration system for Docker developed by the Cloud Native
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Computing Foundation (CNCF). Kubernetes aims to provide all the features
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needed to run Docker based applications including cluster management,
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scheduling, service discovery, monitoring, secrets management and more.
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Nomad only aims to provide cluster management and scheduling and is designed
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with the Unix philosophy of having a small scope while composing with tools like [Consul](https://consul.io)
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for service discovery and [Vault](https://www.vaultproject.io) for secret management.
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While Kubernetes is specifically focused on Docker, Nomad is more general purpose.
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Nomad supports virtualized, containerized and standalone applications, including Docker.
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Nomad is designed with extensible drivers and support will be extended to all
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common drivers.
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Kubernetes is designed as a collection of more than a half-dozen interoperating
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services which together provide the full functionality. Coordination and
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storage is provided by etcd at the core. The state is wrapped by API controllers
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which are consumed by other services that provide higher level APIs for features
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like scheduling. Kubernetes supports running in a highly available
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configuration but is operationally complex to setup.
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Nomad is architecturally much simpler. Nomad is a single binary, both for clients
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and servers, and requires no external services for coordination or storage.
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Nomad combines a lightweight resource managers and a sophisticated scheduler
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into a single system. By default, Nomad is distributed, highly available,
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and operationally simple.
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At the time of writing, Kubernetes targets managing 100 node clusters and supports
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only a single region, although work is underway to improve scale and federation of clusters.
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Nomad is designed to support clusters several orders of magnitude
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larger and supports multi-datacenter and multi-region configurations.
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