Architecting Distributed Workflows with Temporal: State Management at Scale
Temporal encodes workflows as code, giving you durable execution, exactly-once retries, and native state management for distributed systems at scale.
Temporal encodes workflows as code, giving you durable execution, exactly-once retries, and native state management for distributed systems at scale.
Agentic AI is the shift from one-shot prompting to autonomous loops that plan, call tools, observe results, and recover from failure. This guide walks through the core loop, the production patterns, and the infrastructure that makes agents viable at scale.
Most ‘AI agents’ demos hide a complex runtime underneath. Here is what actually runs in production — the planner, the tools, the memory layer, the guardrails, and the observability stack that holds it all together.
A practitioner’s guide to building sagas for distributed commerce transactions, comparing orchestration and choreography, and showing how compensation, idempotency, and observability keep orders resilient when individual services fail.

A production‑focused guide that walks engineers through the architecture, consistency models, and tooling needed to build autonomous memory for distributed AI agents.