Minor updates to intro and vs. content; update use cases
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@ -15,14 +15,17 @@ to use to improve your environment.
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We've covered the basics of all the core features of Nomad in this guide.
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We recommend exploring the following resources as next steps.
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* [Documentation](/docs/index.html) - The documentation is an in-depth
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reference guide to all the features of Nomad.
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* [Guides](/guides/index.html) - The Guides provide best practices and
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guidance for using and operating Nomad in a real-world production setting.
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* [Creating a Cluster](/guides/cluster/bootstrapping.html) - Additional details on
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creating a production worthy Nomad Cluster.
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* [Docs](/docs/index.html) - The Docs provide detailed reference information
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all available features and options of Nomad.
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* [Operating a Job](/guides/operating-a-job/index.html) - Additional details on how to
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run a job in production.
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* [Job Lifecycle](/guides/operating-a-job/index.html) - Additional details
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specific to runnning a job in production.
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* [Creating a Cluster](/guides/operations/cluster/bootstrapping.html) - Additional
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details on creating a production worthy Nomad Cluster.
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* [Example Terraform configuration](https://github.com/hashicorp/nomad/tree/master/terraform) -
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Use Terraform to automatically provision a cluster in AWS.
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@ -110,7 +110,7 @@ Additional metadata can be viewed by providing the `-detailed` flag.
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You can use `Ctrl-C` (the interrupt signal) to halt the agent.
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By default, all signals will cause the agent to forcefully shutdown.
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The agent [can be configured](/docs/agent/configuration/index.html#leave_on_terminate) to
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The agent [can be configured](/docs/configuration/index.html#leave_on_terminate) to
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gracefully leave on either the interrupt or terminate signals.
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After interrupting the agent, you should see it leave the cluster
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@ -134,7 +134,7 @@ replication continues to be attempted until the node recovers. Nomad will
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automatically try to reconnect to _failed_ nodes, allowing it to recover from
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certain network conditions, while _left_ nodes are no longer contacted.
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If an agent is operating as a server, [`leave_on_terminate`](/docs/agent/configuration/index.html#leave_on_terminate) should only
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If an agent is operating as a server, [`leave_on_terminate`](/docs/configuration/index.html#leave_on_terminate) should only
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be set if the server will never rejoin the cluster again. The default value of `false` for `leave_on_terminate` and `leave_on_interrupt`
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work well for most scenarios. If Nomad servers are part of an auto scaling group where new servers are brought up to replace
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failed servers, using graceful leave avoids causing a potential availability outage affecting the [consensus protocol](/docs/internals/consensus.html).
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@ -1,12 +1,12 @@
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---
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layout: "intro"
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page_title: "Nomad Web UI"
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page_title: "Web UI"
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sidebar_current: "getting-started-ui"
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description: |-
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Visit the Nomad Web UI to inspect jobs, allocations, and more.
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---
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# Nomad Web UI
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# Web UI
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At this point we have a fully functioning cluster with a job running in it. We have
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learned how to inspect a job using `nomad status`, next we'll learn how to inspect
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@ -13,16 +13,37 @@ place to start with Nomad. We cover what Nomad is, what
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problems it can solve, how it compares to existing software,
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and contains a quick start for using Nomad.
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If you are already familiar with the basics of Nomad, the
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[documentation](/docs/index.html) provides a better reference
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guide for all available features as well as internals.
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If you are already familiar with the basics of Nomad, the [Guides](/guides/index.html)
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and the [reference documentation](/docs/index.html) will provide a more comprehensive
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resource.
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## What is Nomad?
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Nomad is a tool for managing a cluster of machines and running applications
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Nomad is a flexible container orchestration tool that enables an organization to
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easily deploy and manage any containerized or legacy application using a single,
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unified workflow. Nomad can run a diverse workload of Docker, non-containerized,
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microservice, and batch applications, and generally offers the following benefits
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to developers and operators:
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* **API-driven Automation**: Workload placement, scaling, and upgrades can be
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automated, simplifying operations and eliminating the need for homegrown tooling.
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* **Self-service Deployments**: Developers are empowered to service application
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lifecycles directly, allowing operators to focus on higher value tasks.
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* **Workload Reliability**: Application, node, and driver failures are handled
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automatically, reducing the need for manual operator intervention
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* **Increased Efficiency and Reduced Cost**: Higher application densities allow
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operators to reduce fleet sizes and save money.
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Nomad is trusted by enterprises from a range of sectors including financial,
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retail, software, and others to run production workloads at scale across private
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infrastructure and the public cloud.
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## How it Works
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At its core, Nomad is a tool for managing a cluster of machines and running applications
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on them. Nomad abstracts away machines and the location of applications,
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and instead enables users to declare what they want to run and Nomad handles
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where they should run and how to run them.
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and instead enables users to declare what they want to run while Nomad handles
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where and how to run them.
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The key features of Nomad are:
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@ -57,6 +78,15 @@ The key features of Nomad are:
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to support demanding workloads. Nomad has been proven to scale to cluster sizes that
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exceed 10k nodes in real-world production environments.
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## How Nomad Compares to Other Tools
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Nomad differentiates from related tools by virtue of its **simplicity**, **flexibility**,
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**scalability**, and **high performance**. Nomad's synergy and integration points with
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HashiCorp Terrform, Consul, and Vault make it uniquely suited for easy integration into
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an organization's existing workflows, minimizing the time-to-market for critical initiatives.
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See the [Nomad vs. Other Software](/intro/vs/index.html) page for additional details and
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comparisons.
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## Next Steps
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See the page on [Nomad use cases](/intro/use-cases.html) to see the
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@ -3,35 +3,70 @@ layout: "intro"
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page_title: "Use Cases"
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sidebar_current: "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 are much broader than what we cover.
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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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Before understanding use cases, it's useful to know [what Nomad is](/intro/index.html).
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This page lists some concrete use cases for Nomad, but the possible use cases are
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much broader than what we cover.
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This page lists Nomad's core use cases. Please note that the full range of potential
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use cases is much broader than what is currently covered here. Reading through the
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[Introduction to Nomad](/intro/index.html) is highly recommended before diving into
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the use cases.
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## Microservices Platform
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## Docker Container Management
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Microservices, or Service Oriented Architectures (SOA), are a design paradigm in which many
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services with narrow scope, tight state encapsulation, and API driven interfaces interact together
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to form a larger application. However, they add an operational challenge of managing hundreds
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or thousands of services instead of a few large applications. Nomad provides a platform for
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managing microservices, making it easier to adopt the paradigm.
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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.html)
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and integrates seamlessly with [Consul](/guides/operations/consul-integration/index.html)
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and [Vault](/guides/operations/vault-integration/index.html) 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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## Hybrid Cloud Deployments
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## Legacy Application Deployment
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Nomad is designed to handle multi-datacenter and multi-region deployments and is cloud agnostic.
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This allows Nomad to schedule in private datacenters running bare metal, OpenStack, or VMware
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alongside an AWS, Azure, or GCE cloud deployment. This makes it easier to migrate workloads
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incrementally, or to utilize the cloud for bursting.
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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/operations/consul-integration/index.html)
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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 is 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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**Related video**: [End to End Production Nomad at Citadel](https://www.youtube.com/watch?reload=9&v=ZOBcGpGsboA)
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## Multi-region and Multi-cloud 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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## E-Commerce
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A typical E-Commerce website has a few types of workloads. There are long-lived services
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used for web serving. These include the load balancer, web frontends, API servers, and OLTP databases.
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Batch processing using Hadoop or Spark may run periodically for business reporting, user targeting,
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or generating product recommendations. Nomad allows all these workloads to share an underlying cluster,
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increasing utilization, reducing cost, simplifying scaling and providing a clean abstraction
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for developers.
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@ -8,16 +8,29 @@ description: |-
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# Nomad vs. Other Software
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Nomad is a cluster manager and scheduler. There are many related categories
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including cluster managers, resource managers, workload managers, and schedulers.
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There are many existing tools in each category, and the comparisons are not exhaustive
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of the entire space.
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The following characteristics generally differentiate Nomad from related products:
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Due to the bias of the comparisons being on the Nomad website, we attempt
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to only use facts. If you find something that is invalid or out of date
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in the comparisons, please
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[open an issue](https://github.com/hashicorp/nomad/issues) and we'll
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* **Simplicity**: Nomad runs as a single process with zero external dependencies.
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Operators can easily provision, manage, and scale Nomad. Developers can easily
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define and run applications.
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* **Flexibility**: Nomad can run a diverse workload of containerized, legacy,
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microservice, and batch applications. Nomad can schedule service, batch
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processing and system jobs, and can run on both Linux and Windows.
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* **Scalability and High Performance**: Nomad can schedule thousands of containers
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per second, scale to thousands of nodes in a single cluster, and easily federate
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across regions and cloud providers.
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* **HashiCorp Synergy**: Nomad elegantly integrates with Vault for secrets
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management and Consul for service discovery and dynamic configuration. Nomad's
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Consul-like architecture and Terraform-like job specification lower the barrier
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to entry for existing users of the HashiCorp stack.
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There are many relevant categories for comparison including cluster managers,
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resource managers, workload managers, and schedulers. There are many existing
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tools in each category, and the comparisons are not exhaustive of the entire space.
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Due to the bias of the comparisons being on the Nomad website, we attempt to only
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use facts. If you find something that is invalid or out of date in the comparisons,
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please [open an issue](https://github.com/hashicorp/nomad/issues) and we will
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address it as soon as possible.
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Use the navigation on the left to read comparisons of Nomad versus other
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systems.
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Use the navigation on the left to read comparisons of Nomad versus other systems.
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@ -68,7 +68,7 @@
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</li>
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<li<%= sidebar_current("getting-started-ui") %>>
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<a href="/intro/getting-started/ui.html">Nomad UI</a>
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<a href="/intro/getting-started/ui.html">Web UI</a>
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</li>
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<li<%= sidebar_current("getting-started-nextsteps") %>>
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