Provisioning infrastructure with Terraform or OpenTofu involves writing code and letting the tool handle resource creation. While you can't directly speed up the provisioning process once it begins, you can influence the time it takes by managing how operations are executed in parallel. Terraform parallelism controls the number of concurrent resource operations during commands like `terraform apply` or `terraform destroy`, with a default setting of 10. Understanding and adjusting parallelism can significantly reduce provisioning time. There are three main ways to manage Terraform parallelism. First, managing resource dependencies is essential. Resources that are interdependent must be provisioned in a specific order, which limits parallel execution. For instance, if you have several resources that don’t rely on each other, Terraform can deploy them simultaneously. Conversely, creating dependencies using the `depends_on` argument prevents parallel execution entirely. Second, you can set the `-parallelism` flag in Terraform commands to dictate the maximum number of concurrent operations. For example, setting this flag to 1 means only one resource will be created at a time, while a value of 5 allows for multiple resources to be processed simultaneously, provided there are no dependencies. The article emphasizes that efficient use of parallelism can lead to faster infrastructure provisioning. By minimizing dependencies in your Terraform configuration and adjusting the parallelism flag, you can optimize the deployment process. A clear understanding of how Terraform handles dependencies and parallel execution is key to making the most of this powerful IaC tool.