Solutions

Migrating ArcGIS Enterprise to AWS provides a scalable, secure, and cost-efficient cloud infrastructure for GIS services, enhancing data management, analysis, and sharing while optimizing performance. Leveraging AWS best practices and services like Amazon RDS, Auto Scaling, and EFS, this solution ensures high availability, resilience, and automation, reducing downtime and administrative overhead.

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50%

users experienced faster editing and geoprocessing

organizations utilizing ArcGIS Enterprise via AWS Workspaces

31%

average infrastructure cost reduction

Migrating from on-premises infrastructure to AWS

50%

reduction in critical infrastructure-related incidents

after migrating to AWS

43%

faster time to market for new application features

after migrating to AWS

Key Features

These features collectively enhance usability, security, and efficiency, making the solution adaptable to diverse business environments.

Scalability & Performance

Dynamically scale compute and storage resources to handle varying GIS workloads efficiently.

Optimized GIS Performance

Improve map rendering, geospatial queries, and spatial analysis using AWS high-performance compute.

High Availability & Resilience

Leverage AWS multi-region, multi-AZ architectures for improved uptime and disaster recovery

Advanced Analytics
& AI/ML

Extend GIS capabilities with AWS analytics, AI/ML, and data lake solutions.

Customizable Information Retrieval

Reduce manual intervention with Infrastructure-as-Code and automated monitoring.

Security & Compliance

Utilize AWS security frameworks to protect sensitive geospatial data.

Cost Efficiency

Optimize costs with right-sized EC2 instances and pay-as-you-go services.

Reduced IT Overhead & Maintenance

Minimize infrastructure management efforts, allowing IT teams to focus on innovation.

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Competitive Advantage

Leverage cloud-based GIS capabilities to enhance business operations, drive growth, and improve customer experience.

Diagram of a cloud architecture setup featuring VPN, ArgoCD, PostgreSQL, AWS Migration services, ArcGIS Enterprise integration, and data synchronization flow.

Access Databases and tables securely via encrypted VPN connections

Highly available ArcGIS server AWS EC2 instances provide access to ArcGIS data 24/7

Highly available and scalable AWS EFS replaces traditional NFS file systems which grows dynamically as needed

Dedicated AWS PostgresSQL cluster provides a sustainable data store which grows in capacity as needed

AWS DMS and AWS DataSync help migrate data smoothly from on-premise to Cloud by synchronizing changes near real time

Conversation histories are stored in DynamoDB, which enables efficient and scalable tracking of user interactions

How does the AWS account structure ensure security and reliability?

Our deployment follows AWS Well-Architected Framework best practices, specifically the Security and Reliability pillars.

We implement:

  • AWS Organizations and Control Tower to enforce governance and access control.
  • IAM policies and roles with least-privilege principles.
  • AWS Config and Security Hub for continuous compliance monitoring.
  • Multi-AZ deployments for resilience and uptime.
How are the ArcGIS Server and databases deployed to AWS Cloud?
  • We use Infrastructure-as-Code (IaC) with AWS CloudFormation and Terraform to automate deployment.
  • ArcGIS Server is deployed on Amazon EC2 instances with autoscaling enabled for reliability.
  • ArcGIS databases are hosted on Amazon RDS Aurora with multi-AZ failover.
  • Shared storage for GIS data is provisioned using Amazon EFS and S3.
How is on-premise data synchronized to the cloud?
  • AWS DataSync is used to synchronize file-based GIS data to Amazon S3 and EFS.
  • AWS Database Migration Service (DMS) supports relational data replication to Amazon RDS.
  • Data can be synchronized in near real-time using Change Data Capture (CDC) to keep cloud and on-premise databases aligned.
How is secure access to resources deployed to the Cloud ensured?

  • Iam Idendity Center allows granular access to AWS accounts and resources like EC2 instances deployed to.
  • A VPN endpoint provides secure access to database cluster and instances.
  • Secure authentication and encryption protocols are applied to all data transfers.
What role does AWS DMS play in testing systems side by side?
  • AWS DMS enables continuous replication of on-premise databases to AWS RDS.
  • Change Data Capture (CDC) allows testing of both environments in parallel before full migration.
  • This ensures minimal downtime and a smooth transition from on-prem to cloud.
Does VividCloud provide data grooming services?
  • No, data grooming and preparation remain the customer’s responsibility.
  • However, we collaborate with ESRI/ArcGIS partners who can assist with data refinement and transformation.
How does storage scalability work?
  • Amazon S3, RDS, and EFS expand dynamically as needed, eliminating manual storage management.
  • Customers do not need to allocate fixed storage capacity upfront.
Can ArcGIS Server instances scale to support more clients?
  • Yes, ArcGIS Server runs on Auto Scaling EC2 instances to handle increased traffic.
  • Load balancing via AWS Elastic Load Balancer (ELB) ensures even distribution of requests.
How is database read capacity managed as the user base grows?
  • Amazon RDS supports Read Replicas to offload read traffic and improve performance.
  • The database instance size can be upgraded without downtime using AWS RDS scaling options.
Will Infrastructure-as-Code (IaC) be provided for future updates?
  • Yes, we provide CloudFormation/Terraform templates to enable automated updates.
  • Customers can modify configurations and redeploy changes seamlessly.
Does VividCloud offer maintenance and support services?
  • Yes, maintenance services can be arranged upon request.
  • We provide ongoing support, monitoring, and enhancements tailored to customer needs.

Download Additional ArcGIS Enterprise AWS Migration Resources

AIoT Solution Brief

Solution Brief

FAQ for ArcGIS Enterprise AWS Migration

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