68 lines
3.5 KiB
Plaintext
68 lines
3.5 KiB
Plaintext
---
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layout: intro
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page_title: Use Cases
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sidebar_title: Use Cases
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description: |-
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This page lists some concrete use cases for Nomad, but the possible use cases
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are much broader than what we cover.
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---
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# Use Cases
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This page features Nomad's core use cases.
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Note that the full range of potential use cases is broader than what is covered here.
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## Docker Container Orchestration
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Organizations are increasingly moving towards a Docker centric workflow for
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application deployment and management. This transition requires new tooling
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to automate placement, perform job updates, enable self-service for developers,
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and to handle failures automatically. Nomad supports a [first-class Docker workflow](/docs/drivers/docker)
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and integrates seamlessly with [Consul](/guides/integrations/consul-integration)
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and [Vault](/docs/vault-integration) to enable a complete solution
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while maximizing operational flexibility. Nomad is easy to use, can scale to
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thousands of nodes in a single cluster, and can easily deploy across private data
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centers and multiple clouds.
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## Legacy Application Deployment
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A virtual machine based application deployment strategy can lead to low hardware
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utlization rates and high infrastructure costs. While a Docker-based deployment
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strategy can be impractical for some organizations or use cases, the potential for
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greater automation, increased resilience, and reduced cost is very attractive.
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Nomad natively supports running legacy applications, static binaries, JARs, and
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simple OS commands directly. Workloads are natively isolated at runtime and bin
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packed to maximize efficiency and utilization (reducing cost). Developers and
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operators benefit from API-driven automation and enhanced reliability for
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applications through automatic failure handling.
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## Microservices
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Microservices and Service Oriented Architectures (SOA) are a design paradigm in
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which many services with narrow scope, tight state encapsulation, and API driven
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communication interact together to form a larger solution. However, managing hundreds
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or thousands of services instead of a few large applications creates an operational
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challenge. Nomad elegantly integrates with [Consul](/guides/integrations/consul-integration)
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for automatic service registration and dynamic rendering of configuration files. Nomad
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and Consul together provide an ideal solution for managing microservices, making it
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easier to adopt the paradigm.
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## Batch Processing Workloads
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As data science and analytics teams grow in size and complexity, they increasingly
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benefit from highly performant and scalable tools that can run batch workloads with
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minimal operational overhead. Nomad can natively run batch jobs, [parameterized](https://www.hashicorp.com/blog/replacing-queues-with-nomad-dispatch) jobs, and [Spark](https://github.com/hashicorp/nomad-spark)
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workloads. Nomad's architecture enables easy scalability and an optimistically
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concurrent scheduling strategy that can yield [thousands of container deployments per
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second](https://www.hashicorp.com/c1m). Alternatives are overly complex and limited
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in terms of their scheduling throughput, scalability, and multi-cloud capabilities.
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## Multi-Region and Multi-Cloud Federated Deployments
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Nomad is designed to natively handle multi-datacenter and multi-region deployments
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and is cloud agnostic. This allows Nomad to schedule in private datacenters running
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bare metal, OpenStack, or VMware alongside an AWS, Azure, or GCE cloud deployment.
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This makes it easier to migrate workloads incrementally and to utilize the cloud
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for bursting.
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