Protect production and empower teams
Separation of development and testing environments from production is essential in protecting your critical systems and user production data. Kinde environments span most entities in Kinde and enforce a strict layer of protection. Production data is safe. Your team doesn’t need to worry.
Isolate your user data
Your team runs non-production code against non-production Kinde environments and data. You decide what environments you need to best support your team. Work remains siloed, data remains secure and unpolluted, and features are never accidentally triggered in production.
Protection at every point
Each environment has its own API keys which means production keys are protected and never accidentally leaked
User and organization data
Everything about your users is isolated to an environment to protect privacy and data loss
Config and values are stored locally to an environment – protecting your team from accidental deployment
Applications and auth provider settings config are local to an environment for maximum protection of your credentials
Every environment can have its own domain, so that your team can simulate domains during development
Connected apps settings and configurations, as well as user credentials, are protected within an environment for added security
Unlimited environments for unlimited growth
Kinde environments allow you to map your developer experience to the way your team prefers to work. This means you can manage features and feature flags through the same lifecycle your team uses. As your team grows or process changes, Kinde allows you to adjust or grow your environment needs to scale with you. From development, through testing, to final delivery – your team decides the path and strategy.
Next level continuous delivery
Feature flags empower a whole new way of doing continuous delivery. But only if those flags are never accidentally triggered in production. Separation of development and testing environments from production is essential in protecting your critical systems and user production data. Environments enforce this layer of protection. Your team runs non-production code and feature flags against non-production Kinde environments and data. Work remains siloed and features are never accidentally triggered in production.