
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.
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.
If your ArcGIS Enterprise environment is slowing down, getting more expensive, or struggling to scale, this webinar will show you exactly how to fix it. You’ll learn proven cloud-caching strategies that reduce server load, improve performance, and cut storage costs—without re-architecting your entire system.
Reserve your spot today to get access to the live session and on-demand access!
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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.