Implement DevOps practices

We promote DataOps practices by implementing DevOps into data processes. Automate the continuous deployment chain using our APIs and plugins. Run versioning and monitor logs throughout your entire data lifecycle. Ease your go-to-production with our job promotion feature.

Apply continuous deployment

Give your data teams the software engineering capabilities they need to bring their work from lab to production with our different environments: Lab, Dev, QA, Staging and Production. They can keep control over their projects and environments, replicate their jobs and use our APIs and plugins to connect IDE and continuous integration tools to automate the continuous deployment chain. Let your data teams focus on coding while Saagie makes deployment easier:

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Run versioning

Just as your code gets versioned in GitHub or GitLab, Saagie versions each runnable data processing job or pipeline to make it reproducible and give you full control over your data in production. For enhanced agility, you can document your job or pipeline versions, monitor logs for each running instance and rollback whenever you need.

Switch environments

Saagie helps you avoid data project pifalls of moving to production. Our DataOps Platform uses automation to promote your data processing jobs between environments. Your projects can be promoted smoothly from one environment to an other (Dev, QA, Staging, Production) and you can still replicate your data jobs and monitor them without having to build a huge DevOps process involving Ops teams.