WEBINAR

Advanced Cloud Caching for ArcGIS: Deliver faster maps, reduce server load, and cut cloud storage costs

Modern GIS depends on cached layers for speed and performance—but not all caches are created equal. As datasets scale from gigabytes to terabytes, traditional server-based caching can drive up costs, strain infrastructure, and limit growth.
In this advanced webinar, we move beyond basic raster tiles to show how you can cache imagery, vector, elevation, and 3D layers directly in cloud object storage like Amazon S3 and Azure Blob. You’ll learn how to offload heavy workloads from ArcGIS Server, avoid costly storage expansion, and deliver faster maps and scenes at scale.
You’ll see how to publish and use:
  • Cached map image layers for offline basemaps
  • Cached imagery layers that still support feature queries
  • Cloud-cached vector tile layers for scalable, flexible base maps
  • Elevation layers and contours optimized for visualization
  • 3D scene layers combining terrain, buildings, and symbology

Whether you manage massive imagery archives, build immersive 3D scenes, or support enterprise GIS users, this session will help you match the right cache type to the right use case.

This webinar builds on our previous session, Cloud Ready Imagery for Distributed Teams: How to Consolidate, Cache and Collaborate, and is ideal for ArcGIS Enterprise architects, administrators, and developers working with large, complex datasets.

  1. 1.Why does traditional caching fail?3:04
  2. 2.Layers process overview14:24
  3. 3.Cache Layer Demo25:15
  4. 4.Is high-network bandwidth required?46:25
  5. 5.Audience Q&A62:34

Download the Webinar Presentation Deck PDF

 

Please provide your work email address and upon submit you will have access to view and download the presentation deck

About the speaker

Matt Plummer, Data Systems Administrator at ROK Technologies

Matt Plummer has a strong background in Geography, GIS, and Big Data Science, with experience spanning imagery, navigation, and geospatial analytics. At Esri, he served as a Senior Support Analyst and founded the Super Python Solvers (SPYS) program to streamline Python-based case resolution and elevate team efficiency. His expertise expanded at Mapbox, where he progressed from Technical Support Engineer to QA Engineer, leading quality initiatives for navigation products used by clients such as GM and BMW.

Currently at ROK Technologies, Matt focuses on cloud-based imagery workflows, and has helped over 25 clients migrate, manage, and maintain their aerial imagery through scalable, cloud-hosted solutions.

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