In today's fast-paced development environments, it is paramount to ensure data consistency and integrity, as well as comprehensive security, across all stages of development, testing, and production. Tonic provides a robust platform, purpose-built for this landscape, offering data de-identification, subsetting, and ephemeral environments to generate realistic and on-demand datasets that are privacy-compliant. This article explores some examples of how customers can leverage this powerful toolset to enhance their workflows.
Imagine a scenario where your development team needs fresh, anonymized data every morning. Using Tonic, and the template scripts from the tonic-workspace-automations
repository shared below, you can set up a scheduled job (e.g., via cron or CI/CD tools like Jenkins, GitLab CI, or GitHub Actions) that:
This ensures that your development environment regularly reflects current production trends without exposing sensitive information.
Furthermore, capabilities like our patented subsetter or Tonic Ephemeral can drastically reduce infrastructure costs and management headaches - keeping developer enablement at the heart of your strategy without cutting corners with Infosec.
For teams practicing Continuous Integration, maintaining up-to-date test data is crucial. By integrating Tonic into your CI pipeline, you can:
This approach reduces manual intervention, enhances testing accuracy, and ensures privacy compliance.
In a GitFlow-based workflow, developers often need separate environments for new features. Leveraging tonic-workspace-automations
, you can create a pipeline that:
This enables a scalable, data-driven approach to testing new features in isolation, improving code quality and reducing cross-feature conflicts.
Once again, the Tonic’s subsetter can play a pivotal role here in minimizing data size while maintaining utility. In tandem with that,Tonic Ephemeral can be leveraged to simplify the deployment strategy for these datasets.
The tonic-workspace-automations
repository contains scripts and workflows designed to automate the process of fetching, anonymizing, and updating data within Tonic Structural workspaces. Building upon the code here can allow you to more easily build out the examples above.
Additional resources include:
To start integrating these automations, follow these steps:
tonic-workspace-automations
repository: Access the scripts and workflows designed for Tonic integration.Integrating Tonic’s portfolio of products into your existing data refresh and CI/CD pipelines can significantly enhance your development and testing workflows. By expanding on the tonic-workspace-automations
repository, teams can automate the creation of secure, realistic datasets, enabling more accurate testing and development processes while maintaining data privacy and compliance.