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Scalable AI Agents with Claude AI: A Practical Guide to Designing Production-Ready Autonomous Systems
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Publisher: Independently Published
Pages: 146
Weight: 0.45
Height: 0.34 Width: 6.00 Depth: 9.00
Language: English
Every developer faces the same inevitable moment: the prototype worked perfectly for ten users, but when traffic spiked, response times climbed, rate limits shattered, and the server crashed. Scalability cannot be bolted onto an application after it is built; it requires structural engineering decisions made before the first line of logic is written.
Scalable AI Agents with Claude AI is the definitive runbook for backend engineers and operational stakeholders who need to guarantee reliability under massive concurrent load.
What You Will Master:
Async-First Foundations: Refactor synchronous bottlenecks, execute concurrent tools, and benchmark throughput limits.
Architecture Patterns: Transition from stateful scripts to worker pools and event-driven, decoupled architectures.
Queue-Based Pipelines: Implement Redis task queues, dead letter handling, and priority-based request scheduling.
Database Scaling: Manage session states with PostgreSQL and deploy pgvector for multi-process semantic memory.
Performance Engineering: Optimize token costs, implement semantic result caching, and design adaptive concurrency controllers.
Production Kubernetes: Dockerize your applications, configure resource requests, and establish Prometheus monitoring metrics.
Build infrastructure that processes thousands of tasks seamlessly while you sleep.
(Note: This is an independent publication and is not affiliated with or endorsed by Anthropic PBC).
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