Advanced ArcGIS Cloud Caching Webinar

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

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Download the Webinar Presentation Deck PDF

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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.

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 […]

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Why Esri’s ArcGIS Imagery Specialty Matters and Why ROK Technologies Was Among the First to Earn It

Across every industry, GIS teams are generating more imagery than ever before, from high-resolution aerials to drone collections; from elevation surfaces to reality-capture datasets. And don’t forget the decades of legacy TIFFs, MrSids, and assorted other imagery formats stored on hard drives, servers, and virtual machines. For many organizations, putting this imagery to work is […]

Webinar

Cloud-Ready Imagery for Distributed Teams: How to Consolidate, Cache, and Collaborate

If your imagery feels slow, fragile, or trapped on a single machine, you’re not alone.

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.

You’ll see how to publish and use:

Download the Webinar Presentation Deck PDF

About the speaker

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