Develop a distributed transaction ID generator service for a fintech application, ensuring unique UUID-like IDs across multiple Docker instances with data consistency, collision prevention, and a rollback mechanism for failed transactions, achieving sub-100ms latency per request.
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ID Generation
- Generate unique, UUID-like transaction IDs.
- Ensure IDs are globally unique across multiple instances using a UUID library compatible with Golang.
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Data Consistency
- Use a distributed lock service for ensuring exclusive ID generation.
- Maintain a central registry of issued IDs to avoid duplication, preferably Distributed Redis Cache.
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Distributed Architecture
- Deploy multiple instances in Docker containers.
- Ensure horizontal scalability.
- Utilize service discovery for dynamic instance management.
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Collision Prevention
- Implement a centralized coordination mechanism (e.g., Zookeeper, etcd).
- Use a unique shard ID or node ID as part of the UUID to ensure uniqueness.
- Implement a quorum-based system for consensus on ID issuance.
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Rollback Mechanism
- Implement a Saga pattern for compensating transactions.
- Ensure idempotency for compensating transactions.
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Monitoring and Logging
- Provide detailed logging for transaction tracing and debugging.
- Implement monitoring for system health and performance metrics.
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Performance
- Target latency: Sub-100ms per ID generation request.
- High throughput: Handle thousands of ID generation requests per second.
- Optimize database queries for low latency.
- Use in-memory caching (e.g., Redis) to speed up read operations.
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Scalability
- Horizontally scalable architecture to handle increasing load.
- Use load balancers to distribute requests evenly across instances.
- Implement auto-scaling policies based on CPU/memory usage and request rates.
- Ability to add/remove instances without downtime.
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Availability
- Achieve 99.99% uptime SLO.
- Deploy instances across multiple availability zones for redundancy.
- Implement fault-tolerant mechanisms to handle instance failures.
- Implement health checks and auto-restart policies for failed instances.
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Security
- Ensure secure communication between instances using TLS.
- Implement authentication and authorization for access control (e.g., JWT or OAuth2).
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Reliability
- Ensure the system can recover from failures without data loss.
- Use replication for the central registry to ensure high availability.
- Implement automated backups and disaster recovery plans.
- Implement redundancy for critical components.
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Compliance
- Adhere to PCI DSS and GDPR compliance for handling transaction data.
- Encrypt transaction data at rest and in transit.
- Implement data access controls and audit logging.
- Docker
- Golang
- Redis
- Zookeeper or etcd
- Kubernetes (optional for deployment)
- Clone the repository:
git clone https://github.com/yourusername/distributed-id-generator.git
- Navigate to the project directory:
cd distributed-id-generator
- Build the Docker images
docker-compose build
- Start the services:
docker-compose up
- Access the application at http://localhost:8080.
Generate ID: POST /generate
- Request: {}
- Response: { "id": "generated-uuid" }
- Access logs at http://localhost:8080/logs
- Monitor system health at http://localhost:8080/health