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Execute a Couple of Commands:

build and apply

torque deployment build local

torque deployment apply local

torque deployment build prod

torque deployment apply prod

Create Deployment Objects by Selecting a List of Deployment Provider Implementations

torque deployment create local torque.docker_compose.V1Provider

torque deployment create prod torque.k8s.V1Provider

Create a DAG Representing Your Cloud Architecture

Create Torque Workspace

torque init my_workspace

To Deploy to DigitalOcean, Kubernetes, and Docker Compose

An Example of Torque at Work

Kubernetes and Terraform, coupled with all services that cloud providers offer these days, have provided incredibly powerful tools for running cloud systems. However, the level of complexity they introduce can be daunting for many teams, often creating technical debt accumulation, slowdowns, and roadmap disruptions for refactorings or rearchitecting.


Torque allows engineers to design and easily evolve their systems without being constrained by fragile manual configurations of development environments and cloud deployments. 


Being removed from static configuration files gives software engineers the power to deliver new features fast without breaking things or accumulating technical debt.

Why Torque Framework?
pexels-johannes-plenio-1103970 2.jpg

Tooling for (Data|ML|Dev)Ops

We specialize in delivering

built on top of an open-source framework powered by libraries

By installing different libraries you can:

  1. quickly change datasets 

  2. simply modify data pipelines

  3. change connected data sources

  4. keep track of data-to-model relations and executions

  5. deploy models to staging and production environments

  6. rely on your system dependency graph as a single source of truth to plan and execute changes

Because Torque is technology agnostic, and can be adopted one component at a time, getting started does not require a significant change to your current system design, preferred tools, or development practices.

Why Use Torque Automation Framework?

Countless tools and services offer incredibly powerful features that serve various needs through the software development pipeline.

However, the level of complexity they introduce can be daunting for many teams, often creating slowdowns and delivery disruptions.

Unlike static scripts, components are effectively self-aware and self-configurable, meaning your system can be built and deployed to any environment with any required functionality that your installed code libraries support.

You can even run any of your favorite tools, or deploy to your favorite platforms, through libraries, so you gain their functional benefits without manually managing their code.

What is Torque Automation Framework?

Built specifically to simplify software system operations, Torque is a framework that, when installed in your codebase, speeds up model deployment and learning cycles. 

Instead of making changes to every stage of operations by editing static scripts and configuration files, you use simple commands that modify your system dependency graph. 


Through installed code libraries that describe how the components of your system behave throughout all stages, Torque turns each new change into concrete automations, from the local development environment, over CI/CD, all the way to deployment configurations.

Whenever you need to, install different open-source libraries, fine tune each implementation to suit your own needs, or write your own from scratch.

Torque Framework allows you to iterate faster by:

  • operating on a higher design level, using simple commands to add or change components that also know how to interconnect

  • installing open-source libraries that implement all stages of each component from development to build pipeline to deployment

  • reducing repetitive manual tasks by customizing libraries, to make changes dynamically for retraining and re-deployment

How Torque Solves the Complexity Problem in Cloud Software Systems

Use Case: How to Add a New PostgreSQL Database With Just a Few Commands

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