Enterprise Configuration Service Brings Artificial Intelligence To Config Management

Enterprise Configuration Service Brings Artificial Intelligence To Config Management

When using configuration in production mission critical environments, it is vital that configurations are validated to a meet a pre-defined standard.

Enterprise Configuration Service (ECS) is all about enabling configuration management options such as preventing duplication and enable efficient updates of code config parameters, in short, ECS allows you to make your configuration DRY.

We built powerful JSON schema validation into ECS so that application and pipeline configuration could be validated against a pre-defined schema, this is a great feature as a start to solving the problem of stabilizing production pipelines.

The issue we spotted was that it’s an arduous task to build a schema for configurations and so often that step is missed, leading to pipeline failures that can be hard to diagnose. With that in mind, we got to work on making building a schema so easy it is used all the time. To facilitate this, we built our own artificial intelligence API that will begin to be featured more and more heavily in our products.

Today we release ECS AI, a game changer for configuration management integrity.

ECS uses artificial intelligence to generate perfect validation schemas for your production configurations. Creating schemas for validation is often an after thought or a nice to have that nobody gets round to, but as of today, with ECS we make it very easy, just type cto ecs config schema --write and a schema that matches your tested configuration output will be generated, that’s all there is to it.

The beauty of using AI to generate the schema is that we are able to test the AI output and prove it is correct for the configuration. There are not many scenarios where it is possible to test AI is telling the truth, but this is one of them.

To find our more about centralized configuration management, click here, or to give it a try, click here.