SALT LAKE CITY -- Spacelift announced Run Observability, built-in run analysis for OpenTofu that shows platform teams why a run is slow or failing and what to fix. The company made the announcement at OpenTofu Day North America, held alongside KubeCon + CloudNativeCon North America 2026.
Run Observability breaks down OpenTofu runs by phase and by time used per resource and provider, surfaces the underlying error and flags slow runs without requiring a rerun with debug logging. Since version 1.10, OpenTofu can emit OpenTelemetry traces of each run and export them to an OpenTelemetry Protocol backend. Spacelift said Run Observability checks each trace against a set of rules and the stack’s run history, then turns the results into findings with recommendations. The company said the findings are rules-based, not AI-generated.
“Visibility into infrastructure deployment runs has been a major blind spot,” said Jonah Kowall, senior vice president of product and design at Spacelift. “As the leading sponsor of OpenTofu, we helped build tracing into the project to unlock this visibility. Now we’re bringing that capability to Spacelift customers through Run Observability, with no changes required on their end.”
Spacelift tied the launch to the growing volume of infrastructure changes driven by AI coding tools. The company cited its Infrastructure Automation Report 2026, in which 76% of respondents said they were willing to apply AI-generated Terraform to production with little to no scrutiny and 93% of organizations reported at least one AI-caused infrastructure incident.
Run Observability is generally available now on Spacelift OpenTofu stacks. The capability does not support Terraform.