Cost & Evaluation
What measurement approach should I use to model the incremental infrastructure cost of durable execution per agent step?
Instrument a representative workload to capture CPU, memory, network, and storage overhead per step. Compare that against a baseline of equivalent non-durable orchestration. Use the differential to build a capacity model that accounts for state serialization, journal writes, and replay traffic. A boundary: overhead varies with step payload size and workflow topology, so results from synthetic benchmarks may not transfer directly to production patterns.
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- Cost & Evaluation
How should I scope a proof of concept for a durable agent execution platform?
Focus a proof of concept on resilience over scale to reveal true platform fit for agentic workflows.
- Cost & Evaluation
What key metrics should I track during a durable execution proof of concept?
Measure recovery correctness and operational overhead reductions, not agent logic accuracy, when evaluating durable execution.
- Cost & Evaluation
What cost categories do teams often overlook when planning to run a durable execution platform in production?
Engineering for state design, upgrade testing, and on-call triage often outweigh infrastructure costs in durable systems.