April 2026
Intermediate
298 pages
7h 11m
English
Content preview from Practical Salesforce Agentforce Playbook
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10
Monitoring Performance and Managing Costs
In the previous chapter, we navigated the complexities of the deployment lifecycle. We treated our agent as code, established a CI/CD pipeline using Salesforce DevOps Center, and executed a safe rollout using versioning and smoke testing. Your Room Booking Agent is now live in production, actively conversing with users and executing transactions.
However, in the world of AI agents, "Go-Live" is not the finish line; it is the starting line.
Deploying an autonomous agent introduces a new operational reality. Unlike deterministic applications, where code either runs or crashes, probabilistic AI agents operate on a spectrum of performance. An agent might technically succeed in executing a flow but fail ...
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