For a lighter LaunchDarkly-style feature toggling service on AWS, you could focus on these essential features:
Feature Flag Management: Enable users to create, update, and delete feature flags, with options for boolean (on/off), multivariate (e.g., A/B tests), and gradual rollout.
Targeting Rules: Allow users to set rules based on attributes (e.g., user groups, environment, geographic location). This could involve assigning attributes to toggle specific users or cohorts.
Environment Support: Provide support for managing flags across multiple environments (e.g., development, staging, production), allowing easy promotion of configurations between them.
Dynamic Configuration: Use a serverless architecture (e.g., AWS Lambda and DynamoDB) to keep the configuration data light and scalable. DynamoDB Streams could help synchronize configuration changes across instances.
Caching and Syncing: Implement a caching layer using AWS ElastiCache (Redis or Memcached) to reduce flag lookup latency. Use DynamoDB streams or AWS EventBridge for syncing flag changes in real-time to avoid delays.
SDK Support: Offer simple SDKs or APIs that clients can use to query feature flags, with secure connections for client apps and backend services.
Audit Logging: Track flag creation, updates, and deletions, and allow easy querying for compliance or troubleshooting.
Role-Based Access Control (RBAC): Let admins assign roles (e.g., viewer, editor, admin) to control who can modify flags, especially useful in multi-team environments.
Analytics and Monitoring: Provide basic metrics, like feature usage rates and performance impacts, which could integrate with AWS CloudWatch or offer a lightweight custom dashboard.
Scheduled Rollouts: Allow scheduling for feature rollouts and rollbacks, perhaps integrated with AWS Step Functions for managing gradual deployment.
This minimalistic approach could keep the system efficient on AWS, with flexibility to add on more advanced features as needed.