Diagrid Blog

Access a variety of resources, guides, and tools to empower your journey.

AI Agents

The Tiniest Durable Agent

How to go from a 10-line demo to a reliable and secure ops-ready agent.
Bilgin Ibryam
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News

Diagrid Joins the Agentic AI Foundation as a Gold Member

We’re excited to announce that Diagrid has officially joined the Agentic AI Foundation (AAIF) as a Gold Member, underscoring our commitment to driving open standards and production-grade infrastructure for reliable AI agents.
Yaron Schneider
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Dapr

Improving the Local Dapr Workflow Experience with the Diagrid Dashboard

Visualize Dapr workflow state with the Diagrid Dashboard!
Marc Duiker
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Sep 10, 2025
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 min read
September 10, 2025

Code like a Monolith, Scale like a Microservice: Durable Workflows for Cloud-Native Apps

How Dapr Workflows evolved into a durable, vendor-neutral orchestration engine and the foundation for scalable AI Agents.

Fraser Marlow
Sep 4, 2025
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 min read
September 4, 2025

What’s New with the Dapr .NET SDK

Whit Waldo, CEO of Innovian and the Dapr .NET and JavaScript SDK maintainer, joined the Dapr community call on September 3rd to share updates on the Dapr .NET SDK that are coming with Dapr 1.16.

Fraser Marlow
Aug 29, 2025
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 min read
August 29, 2025

GopherCon 2025: Workflows, Community, and What’s Next for Dapr + Diagrid

1,000 Gophers got to see the power of Dapr Workflows and Workflow Composer.

Sam Coyle
Aug 25, 2025
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 min read
August 25, 2025

How Dapr Outbox Eliminates Dual Writes in Distributed Applications

Dapr Outbox solves the dual-write problem in distributed applications by combining state changes and event publishing into a single transaction, ensuring reliable, consistent, and scalable event-driven systems with built-in retries and failure handling.

Bilgin Ibryam
Aug 19, 2025
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 min read
August 19, 2025

Dash0 Integration with Dapr

The Dash0 platform now supports direct integration with Dapr, allowing Dapr-based applications to export telemetry data—traces, metrics, and logs—into Dash0 through OpenTelemetry without additional instrumentation.

Fraser Marlow
Jul 10, 2025
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 min read
July 10, 2025

Building Production-Ready AI Agents: What Your Framework Needs

LLMs fall short in real-world business applications due to limitations in direction, memory, real-world access, and domain depth. Agents layer instruction management, memory handling, tool integration, and domain specialization on top of LLMs to help developers build scalable, production-ready agentic systems without sacrificing flexibility or operational control.

Bilgin Ibryam

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