Backend Development | Cloud Infra | Automation | Data Validation

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About this service

Summary

### 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.

What's included

  • Backend Development

    - Fully functional backend system aligned with project requirements. - Source code repositories with version control. - API documentation for seamless integration with other services.

  • Cloud Infrastructure & Architecture Solutions

    - Detailed documentation outlining the cloud architecture design. - Provisioned and configured cloud resources (e.g., AWS S3, EC2, ECS, Lambda, RDS). - Security configurations and access controls.

  • Automation Services

    - Automated scripts and workflows for seamless processes. - Documentation on automation procedures, including setup and maintenance. - Monitoring and logging configurations for automated tasks.

  • Data Validation

    - Validation scripts ensuring data integrity and accuracy. - Comprehensive documentation on data validation methodologies. - Reports/logs detailing validation results and any identified issues.


Skills and tools

Automation Engineer
Backend Engineer
Cloud Infrastructure Architect
AWS Lambda
Python
Terraform

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