Can I run Catalyst agent workflows on standard FaaS platforms?Yes, you can run Catalyst agent workflows on standard FaaS platforms, but only for workloads that do not require execution beyond the platform’s timeout window.Can I deploy Catalyst agent workflows on self-managed Kubernetes clusters?Yes, you can deploy Catalyst agent workflows on self-managed Kubernetes clusters.Can I deploy Catalyst agent workflows to managed container services?Yes, you can deploy Catalyst agent workflows to managed container services.Can I run Catalyst agent workflows as long-running services?Yes, you can run Catalyst agent workflows as long-running services across a range of standard operational setups.Do human-in-the-loop agent workflows work on all deployment targets?Human-in-the-loop Catalyst agent workflows function across most of its supported deployment targets.How do I avoid rebuilding agent workflows for different deployment targets?You can avoid rebuilding agent workflows for different deployment targets by using Catalyst’s Dapr-based abstraction layer.How do FaaS timeouts impact durable AI agent workload execution?Standard FaaS platforms are not ideal for long-running durable agent workflows that outlive a single invocation.What Kubernetes patterns support durable agent workflows with human-in-the-loop steps?Standard Kubernetes clusters support durable agent workflows, including those with human approval and long pauses.How do managed container services handle durable agent workloads?Managed container services can effectively support durable agent workloads when configured properly.What considerations apply when running Catalyst agent workflows as long-running services?Running Catalyst agent workflows as long-running services is a viable deployment option.
