Shift-Left DevOps for AI Agents: Testing, Sandboxing, and Tool Mocks in CI/CD
How to catch agent bugs before they hit production by treating tools, prompts, and workflows like code.
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How to catch agent bugs before they hit production by treating tools, prompts, and workflows like code.
Learn how consumer-driven contract testing helps teams deploy microservices independently without brittle end-to-end tests. Practical guide with Pact examples and CI/CD integration.
Learn how to design and implement saga patterns for handling long-running, cross-service workflows in microservices. From orchestration vs choreography to idempotency and observability.
How to split a growing system into cells so a bad deploy or hotspot hurts only a small part of users instead of everyone.
How to split your system into 'think' (control) and 'do' (data) parts so you can move faster without risking your core traffic path.
Show, in concrete terms, how to let AI agents touch real infrastructure without turning your cluster into a sandbox accident.
A hands-on guide to designing CI/CD pipelines that treat agentic AI (multi-step, tool-using agents) as first-class deployable units, not magical black boxes.
Show how to turn a chatty LLM into a safe JSON-producing service that other systems can trust.
Show a practical way to move from guessing about LLM quality to measuring it using logs, labels, and simple experiments.
How to design web services that slow down gracefully instead of crashing when traffic or downstream latency spikes.