Jonas Rapp
CRMK
Tech Lead
Sweden
Dataverse event pipeline, plugins and Custom APIs

Session Abstract

How the Dataverse event execution pipeline actually works, developing testable plugins using base class patterns, debugging with tracing tools, handling long-running operations with Background Operations, and building Custom APIs for reusable business logic. Topics: * Event execution pipeline mechanics: Knowing stages and understanding when rollbacks occur and how Depth prevents infinite loops * What are plugins? Event-driven custom business logic triggered by Dataverse operations written in C# and registered to execute in response to events * Plugin base class patterns: encapsulating context extraction, service proxies with timing, tracing with timestamps, accessing everything efficiently * Synchronous vs asynchronous execution: Right now or soon and why care? * Debugging plugins with Plugin Trace Viewer: analyzing execution timing, tracing calls, troubleshooting issues, using CanaryTracer for event tracing across the pipeline * Custom APIs for reusable business logic: typed request/response parameters, binding types, MainOperation stage execution * Background Operations for long-running work: async Custom APIs with callback URLs, polling status monitor resources, retry with exponential backoff


Jonas Rapp

I'm lazy, and I'm proud of it. I build tools in my free time, so my workdays are more productive. I build tools for you as well. I work hard daily to not create a career.


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Swedish
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