KnowsOps is an open source platform for developers who are tired of the time consuming heavy upfront lifting required of a new project and want to immediately start working on the fun stuff.


Download the KnowOps open source project via GitHub Clone
Why KnowOps
Automating The Automation

DevOps is all about automation. Like you, we love all its time savings and freedom from performing repetitive tasks. Unfortunately, starting a new project or migrating an existing application to a fully operational DevOps toolchain is still an extremely manual effort.

KnowOps has automated this process to create everything you need to get up and running fast.

Simply Declarative

A fully functional app and toolchain is a YAML file away

Many Tech Stacks

Spring, Angular, DJango, Ruby on Rails, AWS Lambda & more...

Model Driven

Forget Hello World! Generate an app based on your needs


Commits generated app, build, CI, Docker and Terraform files

Many CI Pipelines

CircleCI, Codeship, AWS, Aure, Jenkins, & more...

Artifact Repo

Stores components and build dependencies w/ JFrog & Nexus

Docker & Kubernetes

Optional Dockerfile and Kubernetes cluster config


AWS, Azure, Google, Nutanix, RedHat and OnPrem

I AM....

  • Migrate your applications to more modern technology stacks with better architecture and design.
  • Refactor the core of your J2EE, C/C++, and any other application type that leverages a relational database.
  • Save time by generating all the code and configuration necessary to build, test, package, contain, and deploy the core of your migrated application.
  • Standards based conventions and easy to modify code means you are up and running quickly.
  • No need to start from scratch anymore.
  • Quickly bring your idea to life by avoiding all the initial heavy lifting most typical projects require.
  • Project generation means you can focus on the important aspects of your application.
  • Supports a wide array of tech stacks and DevOps configurations.
  • Once modeled, the core aspects of your idea can be containerized and running in minutes.
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