AI Observability

All Telerik .NET and Kendo UI JavaScript components and AI Tools in one package.
Bundle of AI Tools plus four JavaScript UI libraries built natively for jQuery, Angular, React and Vue.
Agent and App Development Solutions
Build. Accelerate. Govern.
AI-Ready Application Experiences
Agent Governance and Control
Build modern .NET business apps
Reporting and Documents
Enhance the developer and designer experience
AI-powered applications are reaching production fast. But once they’re live, many teams discover a hard truth: traditional observability tools were not built to explain AI behavior.
You can have healthy uptime, acceptable latency, and stable throughput and still have an AI system that is producing poor answers, calling the wrong tools, drifting off-task, or quietly driving up token costs.
That gap gets expensive quickly:
Join us for a webinar exploring why AI systems require a different observability model than traditional APM. We’ll break down what changes across the engineering lifecycle as AI moves from prototype to production:
Claim your free spot to get a clear, engineering-first approach to AI observability and start debugging AI systems with confidence.
Ed is a Microsoft MVP and an internationally recognized online influencer, speaker, writer, a Developer Advocate for Progress, and expert on all things web development. Ed enjoys geeking out to cool new tech, brainstorming about future technology and admiring great design.
Lyubomir is a Product Manager working on agent observability at Progress Software. With a background in software development and product design, he works on making complex, non-deterministic systems more transparent, traceable, and reliable.
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Jeff Fritz & Lyubomir Atanasov
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