Agent Command Ledgers for Reliable AI Workflows
Learn how to make AI agent side effects recoverable with command ledgers, fenced execution, reconciliation jobs, and replay-safe workflows.
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Systems, tools, and trade-offs.
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Sandboxing Tool-Using AI Agents
Learn how to run tool-using AI agents behind capability manifests, policy gates, sandboxes, audit logs, and recovery controls.
Designing Durable Agentic Workflows
Learn how to design agentic workflows that survive retries, crashes, tool failures, human approvals, and partial progress without losing intent.
Designing Circuit Breakers for Distributed Services
Learn how to stop cascading failures with circuit breakers that open on real dependency pain, probe recovery safely, and expose clear fallbacks.
Designing Bulkheads for Resilient Services
Learn how to isolate service capacity with bulkheads so one slow dependency, tenant, queue, or feature cannot exhaust the whole system.
Designing Load Shedding and Backpressure for APIs
Learn how to protect APIs during overload with admission control, bounded queues, backpressure signals, and clear degradation rules.
Designing Retry Strategies with Backoff and Jitter
Learn how to retry transient failures without amplifying outages by combining timeouts, backoff, jitter, budgets, and observability.
Graceful Shutdown for Node.js Services
Learn how to drain HTTP requests, stop background work, close dependencies, and make Node.js deployments terminate safely.
Optimistic Concurrency Control for APIs and Databases
Learn how to prevent lost updates with version columns, ETags, compare-and-swap writes, and useful conflict responses.