Building Well-Architected ArcGIS systems

In this morning’s Developer and Technology Summit plenary, Jay Theodore and many of our colleagues guided us through a variety of compelling real-world demonstrations to showcase Esri’s continual commitment to developing software that supports and aligns with the foundational pillars of a well-architected ArcGIS system and enriching GIS with powerful AI capabilities.

Each demonstration is summarized here and includes a companion blog providing additional details and resources.

Reliability

ArcGIS comes with a host of features that can help your organization meet its reliability goals. In his demonstration, Chris highlighted four such features in ArcGIS Enterprise on Kubernetes that, when implemented in your system, can make it resilient to all manners of failures and recoverable should the worst happen.

Companion blog: Reliability in ArcGIS Enterprise on Kubernetes

Automation

ArcGIS supports a variety of approaches for automating software deployments and specific workflows. In his demonstration, Shreyas showed how to use ArcGIS Utility Network and ArcGIS Notebook in conjunction with third-party software such as ServiceNow to automate workflows and drive efficiency in modern ArcGIS systems.

Companion blog: Enterprise automation using ArcGIS Utility Network and ServiceNow

Observability

In his demonstration, Bill highlighted three observability lenses within ArcGIS—organizational, administrative, and compliance—that provide valuable insight into the operational status of your system, applications, and services, helping you implement measures for their efficient management and operation.

Companion blog: Three lenses of observability with ArcGIS

Integration

In his demonstration, Pankaj offered a glimpse at how the existing capabilities of services in ArcGIS Enterprise can be extended by integrating service interceptors to enable real-time data filtering, validation, enrichment, and more.

Companion blog: Extend hosted feature services in ArcGIS Enterprise through service interceptors

GeoAI

ArcGIS has been engineered to leverage AI to help organizations modernize operations to run intelligently and at scale through automated data generation and approachable spatial tools and models.

One example of such a model is the new Vision Language Context-Based Classification model that’s accessible through ArcGIS Living Atlas of the World. In his demonstration, Rohit showed how pretrained vision-language models can be used in scenarios such as disaster recovery where understanding and processing both image and text prompts is crucial.

Companion blog: Use vision-language models to optimize object classification

In addition to pretrained models, Esri is building a robust set of AI skills in the GeoAI framework and providing a platform for introducing your own custom skills. In her demonstration, Linda showcased how pre-built and custom AI skills can extend the capabilities of your custom apps.

Companion blog: Extend the capabilities of custom apps with AI skills