Equip Your GIS Teams to Run ArcGIS Enterprise on Kubernetes
ArcGIS Enterprise on Kubernetes is Esri's container-based deployment of ArcGIS Enterprise, in which the mapping and spatial-analytics platform runs as microservices orchestrated by a Kubernetes cluster instead of on individual Windows or Linux machines. What is ArcGIS Enterprise on Kubernetes? It is a cloud-native way to run the Enterprise organization, portal, hosting server, and data stores as containerized services that scale, recover, and upgrade through Kubernetes. As organizations modernize their GIS infrastructure, teams that can deploy and administer ArcGIS Enterprise on Kubernetes gain a resilient, scalable platform that fits cloud and DevOps operating models.
As organizations move geospatial workloads to cloud-native, container-based infrastructure, this program helps your teams deploy and run ArcGIS Enterprise on Kubernetes across a real cluster. Empower your people with expert-led on-site, off-site, and virtual sessions delivered by Edstellar, a premier corporate training provider serving organizations worldwide in-person and virtually across popular languages. Fully customized to your goals, the program turns ArcGIS Enterprise on Kubernetes skills into lasting capabilities that lift performance across your GIS, IT, and platform engineering teams.
By the end of the program, your team can prepare a Kubernetes cluster, deploy the ArcGIS Enterprise organization, configure security and access, scale microservices, and recover the deployment when issues arise. The result is a resilient, scalable geospatial platform with high availability, predictable upgrades, and in-house expertise that reduces downtime and dependence on outside consultants.

- Explain the container-based, microservices architecture of ArcGIS Enterprise on Kubernetes and how it differs from a classic Windows or Linux deployment.
- Prepare a Kubernetes cluster (Amazon EKS, Azure AKS, Google GKE, or Red Hat OpenShift) with the storage, networking, and certificates ArcGIS Enterprise requires.
- Deploy ArcGIS Enterprise on Kubernetes and create and configure the organization end to end.
- Administer members, content, security, and federated services across the containerized deployment.
- Scale microservices and configure high availability to keep the platform responsive under load.
- Monitor, back up, restore, and upgrade the deployment to keep it secure, available, and current.
- Understanding the Container-Based Platform
- Why Esri runs ArcGIS Enterprise as containerized microservices on Kubernetes
- Core Kubernetes concepts: containers, pods, nodes, namespaces, and the control plane
- Architecture profiles: development, standard availability, and enhanced availability
- How the portal, hosting server, and data stores run as containerized services
- Key differences from a classic Windows or Linux ArcGIS Enterprise deployment
- Building a Cluster for ArcGIS Enterprise
- Supported platforms: Amazon EKS, Azure AKS, Google GKE, and Red Hat OpenShift
- Cluster sizing, node pools, and CPU, memory, and resource requirements
- Configuring storage classes, persistent volumes, and load balancers
- Networking, ingress controllers, DNS, and TLS certificate setup
- Container registry, namespaces, and required cluster permissions
- Standing Up the Organization
- Running the deployment script and using ArcGIS Enterprise Manager
- Creating the organization and configuring the initial administrator account
- Importing licenses and configuring the base deployment
- Validating the deployment and registering the portal
- Configuring the deployment with the Admin API and command-line tools
- Operating the Containerized Platform
- Managing members, roles, groups, and content in the portal
- Configuring security: built-in, SAML, and OpenID Connect logins
- Scaling microservices and pods to meet changing demand
- Managing organization settings, services, and federated capabilities
- Controlling access to items, layers, and sensitive geospatial data
- Keeping the Platform Resilient
- Monitoring cluster and deployment health with built-in tools and Kubernetes dashboards
- Backup and restore using the ArcGIS Enterprise disaster recovery tooling
- Upgrading ArcGIS Enterprise on Kubernetes safely across versions
- Configuring high availability and resilience across nodes
- Troubleshooting pods, logs, and common deployment issues
- DevOps Engineers
- GIS Specialists
- GIS Technicians
- IT Professionals
- Cloud Engineers
- Geospatial Developers
- Software Engineers
- Data Scientists
- System Administrators
- Network Administrators
- Infrastructure Specialists
- Managers
Participants should be familiar with core GIS concepts and ArcGIS Enterprise as an administrator or publisher, along with working knowledge of containers and Kubernetes fundamentals such as pods, nodes, namespaces, and kubectl. Comfort with a cloud platform such as Amazon EKS, Azure AKS, or Google GKE, plus basic Linux and command-line skills, is helpful. No prior experience deploying ArcGIS Enterprise on Kubernetes is required, though access to a test cluster to practice on accelerates learning.
64 hours of group training (includes VILT/In-person On-site)
Tailored for SMBs
160 hours of group training (includes VILT/In-person On-site)
Ideal for growing SMBs
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400 hours of group training (includes VILT/In-person On-site)
Designed for large corporations
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
Unlimited duration
Designed for large corporations
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