Manage configuration variables across deployment environments securely and effortlessly.
It tracks Applications, Configuration Keys, and Environments in related tables without requiring manual syncs. You can define if a key is a secret, map it to staging or production, and track exactly who updated a value and when.
Built-in AI automatically generates technical summaries for your apps and descriptions for your keys, saving you manual documentation time.
Tracking application keys, environment variables, and secrets in Google Sheets quickly becomes a liability. Rows get accidentally overwritten, history is hard to audit, and keeping track of dev versus production values turns into a dangerous guessing game.
In a relational setup, rigid column types ensure a boolean stays a boolean and an integer stays an integer. You link a configuration key directly to an environment without copying and pasting strings across fragile columns.
Secret keys are explicitly marked, and formula fields automatically generate unique identifiers for every configuration state. This is exactly what Softr Databases are designed for.
Log applications, track required configuration variables, and map specific values to isolated environments like Staging or Production. You always know who last updated a value and exactly when it changed.
You can also leverage Database AI agents to automatically draft technical setup descriptions for every new required key. This keeps your documentation perfectly synced with your infrastructure.
Manage system admins and developers with roles and access permissions
Catalog software services using AI to generate technical app summaries
Define deployment stages like Staging or Production with access levels
Define variable types and secrets using AI to generate key descriptions
Store specific variable values per environment with update audit logs
This database provides a secure, structured home for engineering and operations teams managing complex application setups.
Customize the database to fit your exact stack by modifying environment access levels or adding new data type selections to the configuration keys. Because it's a native Softr Database, structural tweaks take seconds.
Import your existing data via CSV to instantly populate the tables with your current configuration logs. You can also use the API to sync live values directly from your infrastructure.
When your team is ready, you can build a full app around this data to share it securely across your engineering department. Creating an internal developer portal with custom users and permissions ensures viewers only see public variables, while admins can update production secrets safely.
A system configurations database tracks the variables, keys, and values required to run software applications across different environments. It centralizes essential setup data so development teams know exactly which values belong in staging versus production.
A no-code database provides the strict structure of relational tables without requiring you to write backend code or maintain custom infrastructure. It gives your engineering team immediate autonomy to manage deployment variables safely and efficiently.
AI can eliminate the manual burden of writing technical documentation for internal systems. Using configurable fields, Database AI agents automatically analyze your app contexts and generate clear technical descriptions for each configuration key as soon as they are added.
Yes, using Softr's interface builder you can create a secure internal portal connected directly to this data. You can show specific data to different stakeholders, ensuring junior developers only view staging variables while system admins retain exclusive access to edit production configurations.
Yes, this template is completely free to get started. Hosted databases are included in all free plans to help you structure your engineering data immediately. Higher-tier plans offer increased record limits as your application infrastructure grows.
Google Sheets lacks data validation for specific formats like JSON or booleans, and it cannot securely relate discrete keys to specific deployment environments. A relational database tracks exact edits via native audit trails, ensuring you never deploy the wrong values due to a broken VLOOKUP.
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