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We also offer custom legal terms, enhanced support and SLA to meet all your enterprise needs.
For customers subject to high security or regulation constraints, we made it easy to host Scalr on premises ($480 / workspace / year, subject to minimum contract value).
* More resources are available upon request to Scalr's support.
** Included run-minutes work as a pool of minutes that you can share across runs.
A run is a Terraform execution (plan and/or apply). Both dry runs (that executes the plan, cost estimation, and policy phases, but not the apply) and standard runs (that actually execute a Terraform apply) count as a run.
An environment is a collection of related workspaces and users. Typically, an environment corresponds to functional areas, applications, cloud accounts, projects, or any grouping that is required.
Flex usage is any usage (run or run-minutes) that is not part of your monthly quota and that is charged at the rate shown in the table above.
There's nothing to worry about, you can still continue to use Scalr! Any additional Scalr run over your monthly count will be charged at the flex rate shown above and billed at the end of your billing cycle.
You can consume as many run-minutes as you need directly within Scalr. Additional run-minutes are charged on a pay-as-you-go model at the flex rate show above.
The Free plan is capped at 2 environments, and the Starter plan is capped at 10 environments. If you need more than 10 environments, you should consider upgrading to the Pro plan. The Pro plan has a soft limit of 100 environments, which can be increased depending on the use case by logging a ticket to support.
There is no charge per user, workspace or concurrent run, only soft limits to ensure fair usage across all accounts. If you need more than what your plan offers, please log a ticket to our support portal.
Runs executed on self-hosted runners do count towards the runs/month quota, but don't count against the run-minutes quota (ie. platform execution time on Scalr).
We believe that a cost per run significantly lower than the cost per apply encourages a culture of rapid iteration on well scoped applies. Charging a high cost per apply unfortunately incentivizes having fewer applies, which means incentivizing a waterfall approach of large batched and risky changes, which in some observed cases even led to incentivizing having larger workspaces.