ArcGIS Online<\/em>, where Esri hosts and manages everything for you.<\/p>\nIn practice, ArcGIS Enterprise is supported on any cloud platform that meets its system requirements including all major public and private clouds (AWS, Azure, Google Cloud, etc.). ArcGIS Enterprise doesn\u2019t require any modification to run in different environments; an ArcGIS Enterprise on the cloud has the same features and tools as a deployment on prem. The reason why is that cloud deployments may offer operational differences, especially if we’re considering different cloud stores.<\/p>\n
Why consider the cloud for ArcGIS Enterprise?<\/h3>\n
Running in the cloud can offer considerable business and technical advantages. Cloud platforms provide on-demand scalability (the ability to easily add or remove computing resources to handle peak GIS workloads, such as seasonal surges), high reliability and disaster recovery options (data centers with built-in redundancy across availability zones and robust backup services), and a shift from an upfront capital expense model to a more flexible operational expense. You don\u2019t have to buy and maintain physical servers, the cloud vendor takes care of hardware failures, power, cooling, and expansion, giving you time to focus on the software and data.<\/p>\n
Additionally, Cloud providers like Google Cloud, AWS, and Microsoft Azure have established global regions to ensure high availability, low latency, and disaster recovery capabilities. These regions are geographically distinct areas where cloud providers house their infrastructure, enabling users to deploy ArcGIS Enterprise and other resources closer to their end-users, reducing latency and improving application performance. Each region consists of multiple data centers that operate independently, and multiple availability zones (AZs) within a region are interconnected with high-speed, low-latency links. This setup allows for redundancy and fault isolation, making it possible to stay online even if one zone has issues.<\/p>\n
It\u2019s\u00a0clear why many enterprises are embracing cloud deployments of ArcGIS Enterprise but,\u00a0it\u2019s\u00a0important to go beyond just moving servers and take advantage of what the cloud offers.<\/p>\n
Cloud Deployment Patterns: From Lift-and-Shift to Cloud-Optimized<\/h2>\n
Over the past few years, we have seen thousands of organizations migrate from on-premises deployments or ArcGIS Enterprise to the cloud. There\u2019s\u00a0a spectrum of approaches between a basic \u201clift-and-shift\u201d and a fully cloud-optimized architecture.<\/p>\n
In a\u00a0lift-and-shift migration, you take an existing ArcGIS Enterprise deployment (Portal for ArcGIS, ArcGIS Server, ArcGIS Data Store, etc. on a set of machines) and replicate it in the cloud with minimal changes. The software\u2019s behavior\u00a0remains\u00a0the same after moving to the cloud but now it runs on cloud infrastructure, immediately\u00a0gaining benefits like\u00a0eliminated\u00a0hardware procurement and easier infrastructure maintenance. This approach is often the fastest path to the cloud and can be a great first step.<\/p>\n
However, simply moving to virtual machines is only part of the story. Cloud providers offer cloud services that can improve and simplify your ArcGIS Enterprise deployment further. A\u00a0cloud-optimized<\/em>\u00a0ArcGIS Enterprise architecture\u00a0leverages\u00a0these services (platform-as-a-service, or\u00a0PaaS\u00a0offerings) for better scalability and resiliency.<\/p>\nCommon examples include using cloud storage (e.g., Amazon S3, Azure Blob Storage) to support the hosting server’s object store or as a cache directory for map and image services, or using a database service offering to host a relational database instead of installing and managing a RDMBS on a VM in the cloud. In fact, many organizations today host their enterprise geodatabases using database service offerings.<\/p>\n"},{"acf_fc_layout":"sidebar","content":"
Cloud-Minimal (\u201cLift-and-Shift\u201d):<\/strong> Use cloud VMs but keep ArcGIS Enterprise architecture identical or near identical to on-premises. For example, install and configure a base deployment of ArcGIS Enterprise on cloud VMs; use a VM as a file share for the portal content and server configuration store; use the same enterprise geodatabase (either on a cloud VM or a VPN back to on-prem server).
\nPros<\/p>\n\n- Easiest transition, minimal re-learning.<\/li>\n<\/ul>\n
Cons<\/p>\n
\n- Not taking full advantage of cloud services; you\u2019re still responsible for maintaining as many software components as you did on-prem.<\/li>\n<\/ul>\n
Cloud-Optimized:<\/strong> Replace some server components with cloud services. For example, store the portal content directory and server directories in Amazon S3 bucket or Azure Blob Storage instead of a Windows file server; use an Azure SQL or Amazon RDS for your enterprise geodatabases instead of a Microsoft SQL Server; use a cloud load balancer in place of ArcGIS Web Adaptor.
\nPros:<\/p>\n\n- Improved resiliency and potential performance gains (cloud storage and databases are highly available by design, and often faster for distributed access).<\/li>\n
- Less OS-level maintenance (because storage or database is managed by the provider).<\/li>\n<\/ul>\n
Cons:<\/p>\n
\n- Requires planning and some cloud expertise \u2013 you need to configure ArcGIS Enterprise to use these services, and costs for those services must be managed.<\/li>\n
- It introduces cloud-specific considerations (e.g., ensuring your cloud storage is in the same region as your servers for performance).<\/li>\n<\/ul>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"
Today, in 2026, ArcGIS Enterprise on Windows\/Linux evolved to integrate in new ways and more deeply with cloud services offered from AWS and Azure. A prime example is the management of ArcGIS Enterprise\u2019s\u00a0configuration and content storage. In the past, a multi-machine deployment needed a shared network file system for the portal\u2019s content directory and ArcGIS Server\u2019s configuration store and directories. This was often a single point of failure if not set up carefully.<\/p>\n
Over recent releases, ArcGIS Enterprise introduced support for placing these on cloud storage,\u00a0eliminating\u00a0the need for a dedicated file server. As of\u00a0ArcGIS Enterprise 12.0, you can configure\u00a0all\u00a0of\u00a0an ArcGIS Enterprise deployment\u2019s inherent file storage on cloud services when running in AWS or Azure \u2013 including the ArcGIS Server directories (for caches, job results, output, etc.).\u00a0In the past, these had to be on a physical network share; now they can be configured to use cloud services in AWS or Azure.<\/p>\n
Most organizations find a balance along this spectrum. You might start with a basic lift-and-shift, then progressively integrate cloud services. ArcGIS Enterprise provides flexibility to allow this incremental approach. For instance, you can migrate the caches from your map or image services to cloud storage (for better scalability) while still using your existing database on a VM, and then later move that data to a database service when ready. The key is that\u00a0ArcGIS Enterprise is cloud-agnostic and modular: you can plug in cloud infrastructure at the points that make sense for your organization.<\/p>\n
Hybrid Cloud Deployments<\/h2>\n
A major trend is using a mix of on-premises and cloud deployments. \u201cHybrid cloud\u201d in this context means you\u00a0maintain\u00a0some ArcGIS Enterprise deployments on-premises and others in one or more clouds, with intentional workflows connecting them. For example, an organization might keep an ArcGIS Enterprise instance on-prem for internal use (perhaps because of sensitive data or integration with legacy systems) and another ArcGIS Enterprise in the cloud to serve external users or as a scalable front-end for public applications. These two can be run as\u00a0separate but connected systems.<\/p>\n
One way to connect two ArcGIS Enterprise deployments is through\u00a0distributed collaboration, which allows you to share content (maps, layers, etc.) between them in a controlled manner. Using collaboration, you could author data on your internal Enterprise and periodically push updates to the cloud-hosted Enterprise that powers a public site, keeping the environments segmented but\u00a0in sync\u00a0where needed. Another common hybrid pattern is using the cloud as a\u00a0disaster recovery or surge capacity site. For instance, your primary ArcGIS Enterprise is on-premises, but you have a standby deployment in the cloud that is updated periodically (using the\u00a0WebGISDR backup\/restore\u00a0tools). In an outage of the on-prem system, you can fail over to\u00a0the cloud\u00a0deployment. Or, if you have a sudden spike in demand beyond what your on-prem servers can handle, you could temporarily redirect users to a cloud\u00a0deployment. Thanks to automation (discussed below), you can now quickly and easily set up these environments whenever needed, making rapid deployment a straightforward process.<\/p>\n
Yet another flavor of hybrid is\u00a0multi-cloud\u00a0or cross-cloud deployments. Because ArcGIS Enterprise is not tied to any single cloud provider, some organizations choose to deploy on multiple clouds to improve resilience or avoid vendor lock-in. For example, you might run parallel environments on AWS and Azure and use traffic management to switch if one has an issue. While this is more complex and\u00a0less common, it underscores that you have flexibility. ArcGIS Enterprise can run in whatever infrastructure makes sense, and you can move or replicate it as your cloud strategy evolves.<\/p>\n
Leveraging Cloud Options with ArcGIS Enterprise 12.0<\/h2>\n
Deploying ArcGIS Enterprise 12.0 in a cloud environment presents new opportunities for optimizing how system directories are managed. Traditionally, server directories, the portal content directory, and the configuration store were kept on file shares. However, recent advancements now allow administrators to use cloud storage services, such as Amazon S3 and Azure Blob Storage, instead of traditional file system storage. In addition, distributed services like messaging platforms and NoSQL databases can now be used to enhance the deployment. For example, a messaging service such as Amazon SQS or Azure Service Bus enables communication between different parts of the system, helping coordinate tasks and data exchange efficiently.<\/p>\n
Similarly, a NoSQL database service like Amazon DynamoDB or Azure Cosmos DB is used to reliably store configuration and job state information in the cloud, supporting asynchronous workflows (where tasks are managed independently and processed as resources become available). By leveraging these cloud storage and distributed services, organizations can achieve greater scalability, improved reliability, and easier disaster recovery for their ArcGIS Enterprise deployments, making it possible to handle larger workloads and respond quickly to changing business needs.<\/p>\nSupported Configurations<\/header>\nCurrently, with ArcGIS Enterprise 12.0, the option to configure server directories with cloud storage is available for:<\/p>\n
\n- ArcGIS GIS Server<\/li>\n
- ArcGIS Image Server<\/li>\n
- ArcGIS Knowledge Server<\/li>\n
- ArcGIS Workflow Manager Server<\/li>\n<\/ul>\n"}],"related_articles":"","show_article_image":false,"card_image":false,"wide_image":false},"yoast_head":"\nArcGIS Enterprise in the Cloud: An update<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/administration\/arcgis-enterprise-in-the-cloud-an-update\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ArcGIS Enterprise in the Cloud: An update\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/administration\/arcgis-enterprise-in-the-cloud-an-update\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta 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"}],"short_description":"ArcGIS Enterprise cloud story focusing on the Windows and Linux deployments as well as talk about current trends in 2026.","flexible_content":[{"acf_fc_layout":"content","content":"