During day two of the Developer Summit plenary, Jay Theodore and some of our talented colleagues showcased workflows that utilized ArcGIS as a platform for automation. The ArcGIS system has best practices and patterns in place to help organizations reach the trifecta of extending, integrating, and automating their organizations. We hope that these demonstrations inspire administrators to evaluate their own workflows and see how they can leverage ArcGIS Enterprise to drive efficient, integrative, and automated innovations to meet their customer’s aspirations.
Extend, Integrate, and Automate with ArcGIS Enterprise
In this section, revisit the demonstrations of many powerful workflows and practices that can help organizations and administrators meet the trifecta of extending, integrations, and automating their workflows.
Extend and connect data
Shreyas showcases the functionality of custom data feeds, which can extend and connect new data sources that may not be natively supported within ArcGIS.
You can read the companion blog here: Dev Summit 2023: Custom data feeds
Integrate service webhooks into workflows
Lingtao and Bill demonstrate how an organization can integrate service webhooks into their preexisting workflows.
You can read the companion blog here: Dev Summit 2023: Automate workflows with service webhooks in ArcGIS Enterprise
Automate data management
Jie highlights how to automate image data management using ArcPy, ArcGIS API for Python, and ArcGIS Notebooks.
You can read the companion blog here: Dev Summit 2023: Automate image data management workflows
Automate DevOps
Shuang demonstrates how to use ArcGIS Notebooks to both create and update custom administration dashboards.
You can read the companion blog here: Dev Summit 2023: Monitor your organization’s content over given time period
Test resiliency in a deployment
Chris showcases the resiliency of ArcGIS Enterprise on Kubernetes by demonstrating how it responds to a chaos monkey tool.
You can read the companion blog here: Dev Summit 2023: Introducing disorder to an ArcGIS Enterprise on Kubernetes deployment
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