What is a Secrets Manager Config Generator?

It is a tool that produces standard templates and configuration code for creating, deploying, and accessing secrets in systems like AWS Secrets Manager using Terraform, Kubernetes, CLI, and Application code.

What is AWS Secrets Manager?

AWS Secrets Manager is a service that helps you securely store, retrieve, and rotate database credentials, API keys, and other secrets, replacing hardcoded credentials in your source code.

What is the AWS Secrets Manager JSON format?

AWS Secrets Manager commonly stores secrets as a JSON string containing multiple key-value pairs (e.g., username, password, engine, host, port), which is required for automatic rotation features.

How do I create a secret in AWS Secrets Manager via CLI?

Use the command: aws secretsmanager create-secret --name MySecret --secret-string '{"username":"admin","password":"secret"}'

How does Secrets Manager work with Terraform?

In Terraform, you use the aws_secretsmanager_secret resource to define the secret and aws_secretsmanager_secret_version to set its value. Be aware the value is stored in plaintext in the tfstate file.

AWS Secrets Manager vs Parameter Store?

Use Secrets Manager for sensitive data that requires automatic rotation, cross-account access, or fine-grained policies. Use Systems Manager (SSM) Parameter Store for non-sensitive configuration data, as it is often free.

Secrets Manager Config Generator

Generate configurations, JSON formats, CLI commands, and Terraform code for AWS Secrets Manager, Kubernetes External Secrets, and Java applications.

Output:A ready-to-use configuration file for Secrets Manager Config with best practices applied.

Configuration Setup

Secrets Provider

Application Name

Environment

Enterprise Security Best Practices

Principle of Least Privilege: Limit access policies to strictly the paths (e.g. /production/my-app/) and actions required by the application.
Automated Rotation: Implement rotation schedules (e.g., 30, 60, or 90 days) using AWS Lambda or Vault dynamic secrets to minimize the impact of leaked credentials.
Version Control: Never commit plaintext secrets. Use tools like External Secrets Operator or SealedSecrets to manage Kubernetes secrets securely via GitOps.

my-app-aws-config.jsonNot Generated

Not generated yet

Quick Summary

Use a Secrets Manager Generator when you need configuration templates for creating, naming, storing, rotating, and referencing secrets in AWS Secrets Manager, Terraform, Kubernetes, CodeBuild, EC2, EKS, and application code (like the Java SDK). It provides safe infrastructure-as-code boilerplate without exposing real production credentials.

What is this tool?

A Secrets Manager is a cloud service (like AWS Secrets Manager, HashiCorp Vault, or Azure Key Vault) that securely stores, encrypts, and rotates sensitive information such as database credentials, API keys, and OAuth tokens.

Unlike .env files which store secrets in plain text on the disk of the machine running the code, a Secrets Manager stores them centrally. Your application retrieves them dynamically at runtime via an API call, using strict IAM (Identity and Access Management) roles.

Secrets Manager Config Formats (JSON & YAML)

Secrets Manager can store plain text (like a single API key), but it is most commonly used to store structured JSON strings. This allows you to store multiple related credentials (like a username, password, host, and port) in a single secret, reducing costs.

Secrets Manager JSON Example

{
  "username": "dbadmin",
  "password": "placeholder_password_here",
  "engine": "postgres",
  "host": "database.cluster-xyz.us-east-1.rds.amazonaws.com",
  "port": 5432
}

How to Use This Tool

Naming Conventions and CLI Commands

A good naming convention helps with IAM permissions and organization. We recommend: environment/application/component (e.g., prod/myapp/database).

AWS CLI: Create Secret Command

aws secretsmanager create-secret \
    --name prod/myapp/database \
    --description "Production database credentials" \
    --secret-string '{"username":"admin","password":"placeholder_password"}'

Using Secrets Manager with Infrastructure

Terraform: Use the aws_secretsmanager_secret and aws_secretsmanager_secret_version resources. Remember that the secret value will exist in plain text in your Terraform state file, so ensure the state is encrypted.
CodeBuild (buildspec): You can reference secrets directly in your buildspec.yml under the env: secrets-manager: block.
Kubernetes / EKS: Use the External Secrets Operator or the AWS Secrets and Configuration Provider (ASCP) for the CSI driver to mount secrets as volumes or sync them into native Kubernetes Secrets.
Java Code: Use the AWS SDK for Java (v2) and the SecretsManagerClient. Alternatively, use the AWS Secrets Manager JDBC Library to automatically fetch and rotate database passwords without changing application code.

Cost and Alternatives

AWS Secrets Manager charges per secret per month, plus a fee per 10,000 API calls. If you have non-sensitive configuration data (like feature flags or URLs), use AWS Systems Manager (SSM) Parameter Store instead, which is free for standard parameters.

Secrets Manager vs 1Password: 1Password is designed for human users to manage personal and team passwords. AWS Secrets Manager is designed for machine-to-machine authentication (applications authenticating to databases).

Security Notes

Never put real passwords in generators. Use placeholders (like YOUR_PASSWORD_HERE) when generating Terraform or CLI templates.
Client-Side Only: If you use this tool to generate random passwords for the GenerateSecretString template, they are generated entirely in your browser using the Web Crypto API. We do not store or transmit them.
Plaintext Warning: Avoid storing secrets in plaintext files inside your repository, even if they are just templates.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.