{"id":2955335,"date":"2026-02-18T15:36:21","date_gmt":"2026-02-18T23:36:21","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2955335"},"modified":"2026-03-13T09:25:15","modified_gmt":"2026-03-13T16:25:15","slug":"arcgis-enterprise-in-the-cloud-deployment-automation-tools-and-best-practices","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/administration\/arcgis-enterprise-in-the-cloud-deployment-automation-tools-and-best-practices","title":{"rendered":"ArcGIS Enterprise in the Cloud: Deployment Automation Tools and Best Practices"},"author":357482,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37501],"tags":[42301,27481,34001,387242,28651],"industry":[],"product":[36571],"class_list":["post-2955335","blog","type-blog","status-publish","format-standard","hentry","category-administration","tag-arcgis-enterprise","tag-automation","tag-aws-cloudformation","tag-cloud-deployment","tag-microsoft-azure-cloud","product-arcgis-enterprise"],"acf":{"authors":[{"ID":357482,"user_firstname":"Justin","user_lastname":"Mallinckrodt","nickname":"Justin Mallinckrodt","user_nicename":"jmallinckrodt","display_name":"Justin Mallinckrodt","user_email":"JMallinckrodt@esri.com","user_url":"","user_registered":"2024-05-21 17:02:14","user_description":"Based in Redlands, CA, Justin has a background in computer science, specializing in networking and administration. Since joining ESRI in 2016, he has been passionate about exploring the global applications of GIS technology and its role in enhancing decision-making processes. As a Product Manager for ArcGIS Enterprise, Justin is dedicated to listening to customer feedback and developing software solutions that address their unique challenges.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/g4817778-justin-mallinckrodt-3z7a3329-e1734726845355-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"This blog will update the ArcGIS Enterprise cloud story focusing on the Windows and Linux deployments as well as talk about current trends.","flexible_content":[{"acf_fc_layout":"content","content":"<p>One of the biggest ArcGIS Enterprise advancements in recent years is the availability of\u00a0automation tools\u00a0for deploying ArcGIS Enterprise. Gone are the days of manually spinning up each VM, running installers by hand, and clicking through configuration wizards for every environment. Whether\u00a0you\u2019re\u00a0deploying on\u00a0Azure, AWS, or other environments, Esri provides tools (and supports methods) to automate ArcGIS Enterprise installation and configuration.<\/p>\n<h2 id=\"quick\" style=\"text-align: left\">Quick Links<\/h2>\n<p style=\"text-align: left\"><a href=\"#tools\">Automation Tools<\/a> | <a href=\"#new\">New Deployments<\/a> | <a href=\"#existing\">Existing Deployments<\/a> | <a href=\"#faq\">Frequently Asked Questions<\/a><\/p>\n<p>For the major public clouds AWS and Azure, Esri offers specialized deployment utilities that not only install the ArcGIS software but also provision the necessary cloud resources according to best practices. This often makes deploying ArcGIS Enterprise on these clouds easier than on-prem, because a lot of the heavy lifting is handled for you.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"content","content":"<h2 id=\"tools\">Cloud Deployment Automation Tools<\/h2>\n<ul>\n<li><strong>ArcGIS Enterprise Cloud Builder for Microsoft Azure: <\/strong>A graphical wizard (Windows desktop app) that guides you through deploying ArcGIS Enterprise on Azure. You specify the settings (number of machines, their sizes, region, etc., as well as ArcGIS configurations like admin username, license file, and whether to enable high availability), and Cloud Builder will create all the Azure resources and install ArcGIS Enterprise accordingly. It can deploy a base ArcGIS Enterprise (Portal, Server, Data Store, Azure App Gateway Service in lieu of an IIS VM and ArcGIS Web Adaptors) and even as well as other types of ArcGIS Enterprise servers. Cloud Builder can also export an Azure Resource Manager (ARM) template for you, so you can reuse or customize the deployment in code.\n<ul>\n<li><em>Benefit:<\/em>\u00a0Very user-friendly; encapsulates Esri\u2019s recommended architecture for Azure. Great for quickly standing up dev, test, or production environments without deep Azure\u00a0expertise.<\/li>\n<\/ul>\n<\/li>\n<li><strong>ArcGIS Enterprise Cloud Builder CLI for AWS: <\/strong>A command-line tool for automating deployments on Amazon Web Services. You run it with a JSON configuration or parameters\u00a0indicating\u00a0your desired architecture, and it launches the necessary AWS resources (EC2 instances with the\u00a0appropriate AMIs, load balancers, security groups, etc.) and installs\/configures ArcGIS Enterprise. Because\u00a0it\u2019s\u00a0CLI, you can integrate it into scripts and pipelines. Esri also provides a web-based UI version on GitHub (the \u201cCloud Formation Builder\u201d app) for AWS if you prefer a UI.\n<ul>\n<li><em>Benefit: <\/em>Enables repeatable, scriptable deployments on AWS; good for organizations that want infrastructure as code. It uses Esri\u2019s pre-built Amazon Machine Images (AMIs) that have ArcGIS Enterprise components, which speeds up installation.<\/li>\n<\/ul>\n<\/li>\n<li><strong>ArcGIS Enterprise Cloud Builder for Azure (Artifacts):\u00a0 <\/strong>Using &#8220;Export Automation Artifacts&#8221; from Cloud Builder turns a one-off deployment into a fully automatable, repeatable, IaC-friendly deployment workflow. You export ARM templates and scripts, store them in source control, and then integrate them into your CI\/CD pipelines achieving consistency, repeatability, and automation best practices.\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li><em>Benefit: <\/em>Provides a blueprint\u2011quality deployment foundation by converting a point\u2011and\u2011click Cloud Builder workflow into version\u2011controlled ARM templates and scripts, making Azure environments easy to reproduce, audit, and evolve within modern DevOps pipelines.<em><br \/>\n<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>AWS CloudFormation Templates: <\/strong>For more flexibility on AWS, Esri provides a set of CloudFormation template files that define ArcGIS Enterprise deployments in AWS\u2019s native Infrastructure-as-Code language. You can find templates for a single-machine deployment, multi-machine sites that include additional server types, and so on. Using AWS CloudFormation console or AWS CLI, you deploy these templates, and AWS provisions everything as described.\n<ul>\n<li><em>Benefit: <\/em>Allows deep customization and version control of your deployment architecture. You can treat the template as code, modify\u00a0instance types, subnets, attach\u00a0additional\u00a0storage, etc., and deploy consistently across accounts or regions. These templates underpin what the Cloud Builder CLI does, so they are well-tested. Ideal for advanced AWS users who want to integrate ArcGIS Enterprise into a larger\u00a0IaC\u00a0framework.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Chef Cookbooks for ArcGIS: <\/strong>For any environment (on-premises, private cloud, or other public clouds), Esri provides\u00a0Chef cookbooks\u00a0scripts using the Chef automation framework that install and configure ArcGIS Enterprise components on VMs. Chef is a popular configuration management tool, and Esri\u2019s cookbooks encapsulate installation steps for the required components of a base deployment allowing you to declare (in code) the state of an ArcGIS Enterprise deployment.\n<ul>\n<li><em>Benefit: <\/em>Highly flexible and not tied to a specific cloud. You can use Chef in AWS, Azure, Google Cloud,\u00a0or on\u00a0bare metal.\u00a0It\u2019s\u00a0great for standardized multi-machine deployments and can be integrated into enterprise automation workflows.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n"},{"acf_fc_layout":"sidebar","content":"<p>If you prefer Windows PowerShell, Esri also has PowerShell DSC scripts with similar capabilities \u2013 these were widely used especially prior to Chef support. They achieve similar automation on Windows via Desired State Configuration. Chef and DSC require some scripting knowledge, but they give you full control to tweak installation directories, apply OS settings, etc., as part of deployment.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"<p>Regardless of which method you choose, automation brings\u00a0consistency and speed. For example, instead of manually clicking through setups which can lead to slight differences or errors, you can deploy identical environments in multiple regions\u00a0or for\u00a0multiple departments by reusing the same template or script. If something needs to change (say, using a larger instance type),\u00a0it\u2019s\u00a0a small edit and re-deploy, rather than a full rebuild from scratch. From a Product Manager perspective, this means faster time to value \u2013 spinning up a new ArcGIS Enterprise for a project can be hours or minutes instead of weeks, and it means fewer configuration mistakes that could lead to issues down the line.<\/p>\n"},{"acf_fc_layout":"content","content":"<h2>Deployment Options: New and Existing Sites<\/h2>\n<h3 id=\"new\">For New Deployments<\/h3>\n<p>When setting up ArcGIS Enterprise with Cloud Builder on AWS or Azure, administrators have the flexibility to use their own pre-existing object store or allow Cloud Builder to create one automatically. For more in-depth guidance, check out these resources:<\/p>\n<ul>\n<li><a href=\"https:\/\/enterprise.arcgis.com\/en\/server\/latest\/cloud\/amazon\/arcgis-enterprise-cloud-builder-for-aws.htm\">ArcGIS Enterprise Cloud Builder for AWS<\/a><\/li>\n<li><a href=\"https:\/\/enterprise.arcgis.com\/en\/server\/latest\/cloud\/azure\/deploy-web-gis-on-azure.htm\">Deploy ArcGIS Enterprise on Microsoft Azure<\/a><\/li>\n<\/ul>\n<h3 id=\"existing\">For Existing Deployments<\/h3>\n<p>If your current deployment relies completely on file storage for both the configuration store and server directories, you&#8217;ll need to maintain this setup until a supported migration path is provided in the future ArcGIS Enterprise release.It\u2019s worth noting that automation isn\u2019t just for initial deployment. Many of these tools can assist with upgrades and expansions as well. For instance, you could use Cloud Builder to add another federated server to an existing site, or use Chef scripts to upgrade components in place by adjusting their version and rerunning the cookbook (with proper care and testing).<\/p>\n<p>Automation scripts can also be part of your disaster recovery plan, the same template that deploys production could be used to deploy a new identical environment from backup if needed. This infrastructure-as-code mindset is increasingly part of modern GIS operations. It is essential to recognize that deployment methods must remain consistent throughout the lifecycle of ArcGIS Enterprise. The approach utilized for the initial deployment should be applied during subsequent upgrades; switching strategies are not recommended and highly discouraged. For instance, if ArcGIS Enterprise was originally deployed with Cloud Builder, upgrading with Chef is not supported.<\/p>\n"},{"acf_fc_layout":"content","content":"<h2>Embracing Hybrid and Maximizing Value<\/h2>\n<p>From a business perspective, modernizing ArcGIS Enterprise in the cloud is about\u00a0delivering more with less friction.\u00a0It\u2019s\u00a0not just a tech migration, but an opportunity to improve how GIS services are delivered to users. Here are a few key considerations and trends:<\/p>\n<ul>\n<li><strong>Efficiency through Automation: <\/strong>As described, automating deployments leads to faster rollout and consistency. This translates to cost savings in IT labor and more reliable environments. If a team can deploy a new test environment in a day using templates,\u00a0they\u2019re\u00a0more likely to test upgrades or new configurations, which leads to higher\u00a0quality in\u00a0production. Also, automated deployments often incorporate best practices (security groups, OS settings, etc.) baked in by Esri or your DevOps engineers, which means each\u00a0new environment\u00a0is secure and tuned from the start, rather than relying on a checklist that might be missed in manual setup. Overall, less time \u201ckeeping the lights on\u201d means more time for delivering GIS capabilities.<\/li>\n<li><strong>Scalability = Better Performance and User Experience: <\/strong>When demand for your mapping applications grows, a cloud deployment can respond dynamically. For example, if a new analytics service becomes popular and bogs down the system, you could scale out by adding another ArcGIS Server node to the site behind a load balancer. On-premises, you might not have that luxury if no spare server is\u00a0available\u00a0or it takes weeks to\u00a0procure\u00a0one. In the cloud,\u00a0it\u2019s\u00a0typically a matter of running a script or increasing an auto-scaling group\u2019s size. This ensures end-users (like citizens hitting a public-facing map or analysts running heavy workloads) get the performance they need when they need it. It also means you\u00a0don\u2019t\u00a0have to permanently run at peak capacity, you can scale in during quiet periods to save costs. Improved performance and reliability directly contribute to user satisfaction with the GIS services, which is a tangible business value (better decisions, more engagement, etc.).<\/li>\n<li><strong>Cost Management and ROI: <\/strong>There\u2019s\u00a0often a notion that\u00a0cloud is\u00a0cheaper. The reality depends on usage patterns, but cloud certainly allows more granular control of costs. You can match your infrastructure\u00a0spend\u00a0to actual usage. Many organizations find that dev\/test environments in the cloud can be shut down when not in use (e.g., overnight or on weekends), which is a saving\u00a0that\u2019s\u00a0impossible with a physical server\u00a0that\u2019s been purchased and is\u00a0always on. Additionally, cloud makes it easier to attribute costs to specific projects or departments (since you can tag resources or have separate subscriptions), which can improve transparency and internal budgeting. From a ROI standpoint, one could justify the\u00a0cloud\u00a0move by reducing hardware refresh expenditures and by preventing costly downtime (cloud\u2019s redundancy and easier DR can reduce the risk of an outage that halts operations). A well-architected cloud deployment might also\u00a0optimize\u00a0software licensing costs \u2013 for example, scaling down the number of ArcGIS Server machines when not\u00a0needed\u00a0so\u00a0you\u2019re\u00a0not using licenses inefficiently.\u00a0All of these financial considerations are top-of-mind for product managers and IT directors.<\/li>\n<li><strong>Hybrid as a Long-Term Strategy: <\/strong>It\u2019s\u00a0worth reiterating the role of hybrid deployments. Few organizations will flip a switch and move everything to the cloud at once. Instead, many are doing it gradually or keeping a foot in both camps for the\u00a0foreseeable future.\u00a0This can actually be the best strategy: use each environment for what it\u2019s best at.\u00a0Perhaps on-premises\u00a0is best for your database servers due to large data volumes and internal network speeds, but cloud is best for your web servers due to scalability \u2013 you can absolutely connect the two. Or use the cloud for development environments (where the agility is most beneficial) and on-prem for a stable production environment, until\u00a0you\u2019re\u00a0confident to cut over production to cloud. ArcGIS Enterprise gives you the choice to architect in this modular way. You can even integrate ArcGIS Online (Esri\u2019s SaaS) with ArcGIS Enterprise in hybrid ways. Modernizing\u00a0doesn\u2019t\u00a0mean abandoning what you have, it means augmenting it. Over time, as older systems age out, you might replace them with cloud deployments, but you can do so in a phased approach. This reduces risk and allows stakeholders to get comfortable with the\u00a0cloud\u00a0at their own pace.<\/li>\n<\/ul>\n<p>In wrapping up,\u00a0it\u2019s\u00a0important to note that our focus here has been ArcGIS Enterprise on Windows\/Linux in IaaS cloud scenarios, essentially a\u00a0modernization of the traditional deployment model. The capabilities and ease-of-use of ArcGIS Enterprise in the cloud have significantly improved in recent years. Esri is continuing to invest in making ArcGIS Enterprise easier to deploy and manage in any environment. The release of 12.0, with features like cloud storage support for server directories, is a testament to that.<\/p>\n"},{"acf_fc_layout":"content","content":"<h2 id=\"faq\">Frequently Asked Questions (FAQs)<\/h2>\n<ul>\n<li>Q: Can I switch my server directories to cloud storage during an upgrade to ArcGIS Server 12.0?\n<ul>\n<li>A: No, this option is not available during the upgrade. ESRI is currently working on a tool for migration to cloud storage for existing sites.<\/li>\n<\/ul>\n<\/li>\n<li>Q: Is cloud storage suitable for single-machine sites?\n<ul>\n<li>A: While most beneficial for multi-machine sites, single-server setups planning future expansion can also take advantage of cloud storage.<\/li>\n<\/ul>\n<\/li>\n<li>Q: Can a single Amazon S3 instance be used for multiple hosting and federated GIS servers?\n<ul>\n<li>A: Yes, you can configure Amazon S3 to store server directories for both the hosting server and additional federated GIS servers.<\/li>\n<\/ul>\n<\/li>\n<li>Q: What\u2019s the best storage option for on-premises deployments?\n<ul>\n<li>A: Choose storage devices that provide immediate consistency and performance, such as NAS or SAN solutions, rather than distributed file systems like GFS or DFS.<\/li>\n<\/ul>\n<\/li>\n<li>Q: Upon upgrading to 12.0 and configuring ArcGIS Server for using cloud storage, why is the \u2018arcgisssytem\u2019 folder still being used locally at \u201c*\\arcgisserver\\directories\\arcgissystem\u201d?\n<ul>\n<li>A: ArcSOC processes need local access to certain files to start GIS services and must reside on the machine running the SOC processes.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n"}],"related_articles":"","show_article_image":false,"card_image":false,"wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ArcGIS Enterprise in the Cloud: Deployment Automation Tools and Best Practices<\/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-deployment-automation-tools-and-best-practices\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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