ArcGIS Enterprise in the Amazon Cloud

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1 ArcGIS Enterprise in the Amazon Cloud Cherry Lin David Cordes This Presentation Available at

2 AWS SIG Date: 07/13/2017 Time: 12:00pm - 1:00pm Location: SDCC Room: SDCC - Room 28B

3 Overview Getting Started What s new at 10.5 and Best Practices Demo - Customization Baking - Simplifying your Template

4 Getting Started

5 On-premise Esri authorization files Domain_name for your application SSL Certificate for your domain Esri software setups Infrastructure Machines/VMs/Networks Web Servers and/or Load Balancer File Server Data storage/database... AWS Esri authorization files Domain_name for your application SSL Certificate for your domain AWS Account

6 On-premise Some knowledge about your infrastructure Manually run setups/configurations on all machines or Deployment automation AWS Some knowledge about AWS Esri CloudFormation template One deployment for different patterns Scripting tools, python or powershell Customization AMIs CloudFormation Templates

7 CloudFormation - AWS Way to Provision Your Cloud Template-based Parameters at run-time

8 Esri s Templates : The Power of ArcGIS Enterprise Made Easy Esri-created Public Esri AMIs Suitable for all No code needed Architectural best practices

9 Templates Available Base ArcGIS Enterprise ArcGIS Server - different Server roles Single Machine High Availability Disaster Recovery Windows Linux

10 AWS Instance Cloud Formation Deployment

11 Command Line Scripts: Python & Powershell

12 AWS Tools for Powershell Deployment using Powershell

13 What s New at 10.5 and

14 Native Cloud High Availability Features Portal for ArcGIS content store in AWS S3 ArcGIS Server config-store in AWS DynamoDB ArcGIS Enterprise backup/restore to AWS S3 ArcGIS Server Cloud Store in AWS S3 for Data Store Items - GeoAnalytics Input Data - RasterAnalytics AWS instance auto-recovery

15 Store and Serve Tile Cache in Cloud Storage Consume cache in AWS S3 - Highly available and scalable - Performance close to arcgis.com Generate cache locally and manually upload/update to AWS S3 - Manage cache coming in future release

16 Starting and Stopping ArcGIS Enterprise Stack in the Cloud Coming with default Esri templates Using AWS lambda function Stop/Start the whole stack Could be an expensive operation for certain stacks.

17 Applying Windows Updates Through AWS EC2 Run Command - Execute other commands remotely - Windows & Linux Might want to run it periodically Applying other commands in future releases

18 New Features Postinstall Script ArcGIS Server faster scale out ArcGIS Server Deployed in AWS ECS - Esri ArcGIS Server Docker Image - Deployed through Esri AWS CloudFormation template - Supported on in AWS CloudFormation workflow - Linux only - Love to hear from you!

19 Best Practices

20 Wildcard Certificates Certificates needed for encryption Can be issued for a specific machine Or can be issued for an entire group of names.

21 Customization : Two Approaches Baked (image) Runtime (scripted)

22 Baked Customization 1. Start Esri s AMI 2. Make changes a. Patch b. Copy data c. Add other software 3. Save image

23 Demo: Customization Baking

24 Customization Baking Step 1: Launch Instance

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37 Customization Baking Step 2: Configure Instance

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49 Customization Baking Step 3: Create Image

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59 Customization Baking Step 4: Update Template

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70 Customization Baking Step 5: Use My Updated Template

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85 Runtime Customization Best for dynamic customization Zip file Downloaded Execute deploy.sh or deploy.bat

86 Demo: Simplifying your Template

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102 Scaling out the Spatiotemporal Data Store Start with one instance Scaling out - set auto-scaling group min=max Scaling in - do it slowly - set auto-scaling group 1 instance smaller - wait for re-balancing before decreasing 1 more instance

103 Managing EGDBs in the Cloud Hard to do from another network ArcCatalog - problematic due to licensing ArcPy or Pro - alternatives

104 Wrapping Up

105 Surveys and Success Stories Let us know if you have a success story to share Please fill out surveys

106 Q&A

107 AWS SIG Date: 07/13/2017 Time: 12:00pm - 1:00pm Location: SDCC Room: SDCC - Room 28B

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