### Backend Development:

1. **Functional Backend System:**

- Development of server-side logic and database management.

- Implementation of APIs, ensuring proper handling of requests and responses.

- Integration with external services and databases.

2. **Version-Controlled Source Code:**

- Use of version control systems (e.g., Git) for managing source code.

- Regular commits, branches, and tags to track changes and facilitate collaboration.

- Documentation on how to access and contribute to the codebase.

3. **API Documentation:**

- Clear and comprehensive documentation outlining available endpoints and their functionalities.

- Descriptions of expected request and response formats.

- Examples and use cases to guide integration efforts.

### Cloud Infrastructure:

1. **Architecture Documentation:**

- Detailed overview of the cloud infrastructure design.

- Diagrams illustrating the relationships between different components.

- Explanation of how each service contributes to the overall architecture.

2. **Provisioned Cloud Resources:**

- Setup and configuration of cloud services based on the project's requirements.

- Properly configured security groups, IAM roles, and access controls.

- Optimization of resources for performance and cost efficiency.

### Automation Services:

1. **Automated Scripts and Workflows:**

- Development of scripts for automating repetitive tasks or processes.

- Creation of workflows to orchestrate complex automation procedures.

- Documentation on how to run, maintain, and troubleshoot the automation.

2. **Procedural Documentation:**

- Comprehensive documentation on the setup and maintenance of automated processes.

- Clear instructions for configuration changes or adjustments.

- Troubleshooting guides for common issues.

3. **Monitoring and Logging Configurations:**

- Integration of monitoring tools to track the performance of automated tasks.

- Logging configurations to capture relevant information for auditing and debugging.

- Alerts and notifications setup for critical events.

### Data Validation:

1. **Validation Scripts:**

- Development of scripts to validate data integrity and accuracy.

- Inclusion of checks for completeness, consistency, and conformity to standards.

- Integration with automated testing frameworks for continuous validation.

2. **Methodology Documentation:**

- Documentation on the approach and methodologies used for data validation.

- Explanation of specific validation criteria and rules.

- Examples of expected results and potential issues.

3. **Reports/Logs:**

- Generation of detailed reports or logs summarizing validation results.

- Clear indication of any identified issues or discrepancies.

- Recommendations for remediation or further investigation.

These detailed services collectively provide a comprehensive solution, ensuring the client receives a well-documented, secure, and efficiently running backend system with automated processes and validated data.