Cost & Evaluation
What method should I use to compare the total cost of ownership between a managed durable execution service and a self-hosted open-source alternative without vendor-specific pricing?
Create a cost model with categories: compute resources, storage, network egress, operational staffing for maintenance and upgrades, and time spent on integration. For managed services, add potential overhead from API rate limits. For self-hosted, add security patching and failure recovery. A caveat: hidden costs like training and migration effort can dominate; include them as a separate labor line item.
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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.
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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.
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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.