Are your non-production cloud instances—consider those used for development, testing, and even software demos and training—running even when they’re not needed?

While most engineering teams are aware of the wasted costs that come with idle cloud resources, few are able to act on this opportunity.

The manual overhead required to script and maintain the infrastructure needed to support these workloads is too great, while the routine practice of terminating instances is prone to drift and human error.

But it doesn’t need to be. After using Torque to codify and automate the lifecycle of infrastructure supporting their non-production environments, one of our customers was able to cut more than half of their annual cloud spend.

Watch this recording to see how to:

• Automatically generate open-source Infrastructure as Code files codifying any state of any resource deployed via your AWS and Azure accounts
• Automate the provisioning and termination of these resources based on daily schedules when your teams need them
• Identify resources that are running idle during work hours so you can further optimize cloud spend with your teams’ actual workload needs
• Track usage, performance, and cloud costs for all resources to understand the impact on productivity and efficiency continuously