awslabs/amazon-documentdb-tools
Mar 2025 – Oct 2025
4 Months active
Languages Used
MarkdownJavaScriptPythonBashYAMLbashyaml
Technical Skills
DocumentationDatabase AdministrationDatabase MigrationDocumentDBMongoDBRole Management
Douglas Bonser
PROFILE
Douglas Bonser
Contributed to the awslabs/amazon-documentdb-tools repository by building migration and discovery utilities that streamline transitions from Couchbase to Amazon DocumentDB. Developed Python and Bash scripts to automate user and role exports, generate migration-ready commands, and collect Couchbase cluster statistics for planning purposes. Leveraged AWS services such as MSK, EC2, and CloudFormation to enable scalable, repeatable data migrations, while improving deployment reliability through parameterization and documentation enhancements. Focused on reducing operational overhead by deprecating custom automation in favor of AWS-managed disaster recovery features. Emphasized maintainability and security by excluding sensitive data and ensuring clear, actionable documentation for end users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
4
Lines of code
2,209
Activity Months4
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Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused feature delivery for awslabs/amazon-documentdb-tools. Key deliverable: initial Couchbase Migration Data Discovery Utility to aid migration planning to Amazon DocumentDB. The read-only utility collects Couchbase cluster statistics (collections, KV operations, N1QL usage, and index definitions) and outputs results in CSV/TXT format. It requires Python 3.9+ and the cbstats tool, enabling automated discovery and reducing manual data gathering for migration readiness.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused feature delivery for awslabs/amazon-documentdb-tools. Key deliverable: initial Couchbase Migration Data Discovery Utility to aid migration planning to Amazon DocumentDB. The read-only utility collects Couchbase cluster statistics (collections, KV operations, N1QL usage, and index definitions) and outputs results in CSV/TXT format. It requires Python 3.9+ and the cbstats tool, enabling automated discovery and reducing manual data gathering for migration readiness.
October 2025
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for awslabs/amazon-documentdb-tools: Delivered an end-to-end Couchbase to Amazon DocumentDB Migration Utility, with comprehensive documentation, infrastructure-as-code templates, and setup scripts. Leveraged AWS MSK for streaming and Kafka Connectors for data transfer, enabling a scalable migration workflow. Improved deployment reliability and maintainability through targeted fixes and parameterization. Established a solid foundation for automated, cross-region migrations.
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for awslabs/amazon-documentdb-tools: Delivered an end-to-end Couchbase to Amazon DocumentDB Migration Utility, with comprehensive documentation, infrastructure-as-code templates, and setup scripts. Leveraged AWS MSK for streaming and Kafka Connectors for data transfer, enabling a scalable migration workflow. Improved deployment reliability and maintainability through targeted fixes and parameterization. Established a solid foundation for automated, cross-region migrations.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for awslabs/amazon-documentdb-tools. Delivered a migration-ready DocumentDB user/role export capability and related enhancements. Key work included creating a Python script to export users and custom roles, generating JavaScript commands to recreate them on another instance, and updating export logic and README for clarity. Improvements emphasize security (passwords excluded), deduplicated role definitions, and end-to-end migration readiness.
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for awslabs/amazon-documentdb-tools. Delivered a migration-ready DocumentDB user/role export capability and related enhancements. Key work included creating a Python script to export users and custom roles, generating JavaScript commands to recreate them on another instance, and updating export logic and README for clarity. Improvements emphasize security (passwords excluded), deduplicated role definitions, and end-to-end migration readiness.
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on aligning Amazon DocumentDB tools with managed disaster recovery capabilities. Deprecated automation scripts for DocumentDB Global Clusters in favor of built-in managed failover/switchover features, and updated documentation to guide users to AWS-supported recovery options. This work reduces operational overhead and improves reliability by steering users toward managed features.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on aligning Amazon DocumentDB tools with managed disaster recovery capabilities. Deprecated automation scripts for DocumentDB Global Clusters in favor of built-in managed failover/switchover features, and updated documentation to guide users to AWS-supported recovery options. This work reduces operational overhead and improves reliability by steering users toward managed features.
Activity
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Quality Metrics
Correctness93.8%
Maintainability92.4%
Architecture90.8%
Performance87.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashJavaScriptMarkdownPythonYAMLbashyaml
Technical Skills
API IntegrationAWSAWS IAMAWS MSKAmazon DocumentDBCloudFormationConfiguration ManagementCouchbaseData AnalysisData MigrationDatabase AdministrationDatabase MigrationDevOpsDocumentDBDocumentation
Repositories Contributed To
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