Quali - Torque Professional - Infrastructure Platform Engineering

The primary value of Torque is typically measured in terms in productivity and cloud cost optimization.

To improve developer productivity, Torque automates basic tasks, enables reusability, and democratizes access to deploy even the most complex cloud-based environments. This has helped to accelerate application release timelines and other mission-critical workflows by eliminating ticket requests, wait times, and lengthy orchestration processes.

For cloud cost optimization, Torque eliminates redundancies in cloud deployments by identifying idle resources, denying the deployment of over-sized or otherwise expensive resources, and enables collaboration to eliminate the deployment of identical cloud resources concurrently.

Torques features include the ability to create an easy-to-use inventory of reusable cloud assets; a simplified and governed self-service experience for creating and provisioning environments from that inventory; and automation and visibility tools to ensure all infrastructure and environments are secure, compliant, and cost-efficient.

The resource inventory is created from the users existing ecosystem of AWS accounts and Git repositories, with support for Infrastructure as Code (IaC) tools like Terraform, OpenTofu, and AWS Cloudformation; Configuration Management tools like RedHat Ansible; and container tools like native Kubernetes and Helm.

Torque connects to the users AWS accounts and repositories, discovers the configurations of resources managed via those sources, and normalizes the resource configurations in YAML format while still maintaining documentation for the source of those resources. This normalization allows users to leverage their existing infrastructure assets whether defined as Terraform, Ansible, OpenTofu, CloudFormation, Helm, or native Kubernetes to define complex environments as code, so they never need to build those environments again.

With the inventory established, Torque uses generative AI and an intuitive user experience to accelerate the creation and deployment of resources the user needs, ranging from simple infrastructure provisioning to the deployment of complex environments. This includes an AI Copilot that automatically orchestrates resources from the inventory into reusable Environment as Code files based on user-submitted prompts. Users can find Environment as Code and Infrastructure as Code resources on Torques self-service catalog, where they can launch them with a single click of a mouse thereby enabling more teams to democratize access to run cloud infrastructure and environments on demand. Role-based access controls enable DevOps administrators to distribute this access without the risk of misconfigurations or unapproved deployments, while custom cloud governance policies prevent the deployment of any resource that violates the organizations security, compliance, or cloud cost standards. As part of the deployment process, the platform automates cloud tagging to eliminate missing or misspelled tags from cloud resource deployments, helping to improve accuracy and consistency in cloud cost optimization and FinOps reporting.

Since Torque initiates the deployment of these resources, the platform can track and perform actions on live resources as needed. This includes mission-critical Day-2 operations, which can be defined as code, executed in a single click by end users, and executed automatically based on custom schedules or triggered by specific events. Torques Operation Hub provides a live view of all activity so users can understand which resources are actively deployed, which have been terminated recently, and which actions have been executed on those resources in real-time. Torque automatically identifies cloud cost optimization opportunities by recognizing when actively deployed resources are unused so users can eliminate wasted cloud costs proactively. Meanwhile, Torque dashboards track all activity and associated cloud costs based on the deployment and runtime of each environment in real-time. And since Torque manages all this activity, the platform associates the users responsible for it providing administrators the context to

investigate cloud cost anomalies, reliability issues, or security and compliance vulnerabilities.

This approach has been used to support use cases ranging from the simple delivery of basic infrastructure like Virtual Machines to the delivery and maintenance of AI models at scale. Results have included substantial improvements in productivity and millions of dollars in cloud cost savings for many customers.

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