opensearch-project/data-prepper
Jul 2025 – Nov 2025
4 Months active
Languages Used
JavaMarkdown
Technical Skills
AWS SDKConfiguration ManagementJava DevelopmentPlugin DevelopmentUnit TestingCloudWatch Logs
mzurita-amz
PROFILE
Mzurita-amz
Over four months, contributed to opensearch-project/data-prepper by delivering features that enhanced AWS integration, observability, and configuration flexibility. Developed custom HTTP header and endpoint override support for the CloudWatch Logs sink, enabling secure, per-request customization and improved routing. Introduced a data_selection configuration for the S3 source, allowing selective ingestion of data or metadata to optimize pipeline efficiency. Enhanced metrics monitoring by adding new observability features and configurable EMF logging, while also improving test reliability for S3 and SQS pipelines. Work was implemented primarily in Java using AWS SDK, Spring Framework, and robust unit and integration testing to ensure reliability.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
5
Lines of code
1,701
Activity Months4
Your Network
1670 peopleWork History
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for opensearch-project/data-prepper. Focused on elevating observability, configurable metrics, and test reliability for S3 and SQS data pipelines used in real-time data processing. Key achievements delivered: - Enhanced observability for S3 and SQS workers with a set of group commits adding new metrics for throttling in the S3 input stream, API metrics for the SQS common worker, and read-failure metrics for the S3 source. - Implemented configurable EMF logging to allow additional properties in EMF records, enabling richer metrics contexts and easier correlation across components. - Hardened the SQS testing framework by fixing exception counter mocks, preventing infinite loops in tests, and validating counter increments, resulting in all tests passing (333 tests). Overall impact and business value: - Improved reliability and operational visibility for S3/SQS ingestion pipelines leading to faster issue diagnosis and reduced MTTR. - More flexible and richer metrics collection enabling data-driven capacity planning and proactive alerting. - Higher test stability reduces regressions and accelerates development velocity. Technologies and skills demonstrated: - Metrics instrumentation and observability strategies for streaming workers (S3, SQS). - Configuration-driven EMF logging to extend metrics detail. - Test framework hardening and robust validation of metric counters. - End-to-end impact across data ingestion pipelines with measurable improvements in reliability and visibility.
5 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for opensearch-project/data-prepper. Focused on elevating observability, configurable metrics, and test reliability for S3 and SQS data pipelines used in real-time data processing. Key achievements delivered: - Enhanced observability for S3 and SQS workers with a set of group commits adding new metrics for throttling in the S3 input stream, API metrics for the SQS common worker, and read-failure metrics for the S3 source. - Implemented configurable EMF logging to allow additional properties in EMF records, enabling richer metrics contexts and easier correlation across components. - Hardened the SQS testing framework by fixing exception counter mocks, preventing infinite loops in tests, and validating counter increments, resulting in all tests passing (333 tests). Overall impact and business value: - Improved reliability and operational visibility for S3/SQS ingestion pipelines leading to faster issue diagnosis and reduced MTTR. - More flexible and richer metrics collection enabling data-driven capacity planning and proactive alerting. - Higher test stability reduces regressions and accelerates development velocity. Technologies and skills demonstrated: - Metrics instrumentation and observability strategies for streaming workers (S3, SQS). - Configuration-driven EMF logging to extend metrics detail. - Test framework hardening and robust validation of metric counters. - End-to-end impact across data ingestion pipelines with measurable improvements in reliability and visibility.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on delivered features and impact for opensearch-project/data-prepper. Implemented a targeted enhancement to the S3 data ingestion pipeline by introducing a data_selection configuration that controls whether to ingest data, metadata, or both for the S3 source. The change required updates to S3Service and related workers and included comprehensive integration tests to verify all data selection modes. Commit reference: d252490631c064391683956adb1f9cc67811dd13 (Added data_selection support to S3 SQS source).
October 2025
1 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10 focusing on delivered features and impact for opensearch-project/data-prepper. Implemented a targeted enhancement to the S3 data ingestion pipeline by introducing a data_selection configuration that controls whether to ingest data, metadata, or both for the S3 source. The change required updates to S3Service and related workers and included comprehensive integration tests to verify all data selection modes. Commit reference: d252490631c064391683956adb1f9cc67811dd13 (Added data_selection support to S3 SQS source).
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for opensearch-project/data-prepper focusing on delivering targeted observability enhancements and solidifying endpoint-driven configurations. Key outcomes include a new CloudWatch Logs endpoint customization capability and a clear path to directing logs to specific or alternate CloudWatch endpoints, enabling better regional routing, testing, and compliance workflows. No major bugs fixed this month in the repository. The work demonstrates strong configuration-driven design, AWS CloudWatch integration, and maintainable, incremental code changes that minimize blast radius while expanding deployment flexibility.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for opensearch-project/data-prepper focusing on delivering targeted observability enhancements and solidifying endpoint-driven configurations. Key outcomes include a new CloudWatch Logs endpoint customization capability and a clear path to directing logs to specific or alternate CloudWatch endpoints, enabling better regional routing, testing, and compliance workflows. No major bugs fixed this month in the repository. The work demonstrates strong configuration-driven design, AWS CloudWatch integration, and maintainable, incremental code changes that minimize blast radius while expanding deployment flexibility.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025In July 2025, delivered CloudWatch Logs sink Custom HTTP headers support for opensearch-project/data-prepper, enabling per-request custom headers to meet security and routing requirements. The feature includes header override handling in CloudWatchLogsSink, header propagation in CloudWatchLogsClientFactory to the AWS SDK client, and a new validation annotation plus tests to enforce formatting and limits. Documentation updates accompany the change. The work is backed by a single commit (70ce8f77760de376da47a81afcfd8557b88845b6): 'Added custom headers to cloudwatch logs sink (#5906)'. This release improves observability integration with CloudWatch, enhances security policy compliance, and reduces manual configuration overhead for customers.
July 2025
1 Commits • 1 Features
Jul 1, 2025In July 2025, delivered CloudWatch Logs sink Custom HTTP headers support for opensearch-project/data-prepper, enabling per-request custom headers to meet security and routing requirements. The feature includes header override handling in CloudWatchLogsSink, header propagation in CloudWatchLogsClientFactory to the AWS SDK client, and a new validation annotation plus tests to enforce formatting and limits. Documentation updates accompany the change. The work is backed by a single commit (70ce8f77760de376da47a81afcfd8557b88845b6): 'Added custom headers to cloudwatch logs sink (#5906)'. This release improves observability integration with CloudWatch, enhances security policy compliance, and reduces manual configuration overhead for customers.
Activity
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Quality Metrics
Correctness96.2%
Maintainability86.2%
Architecture86.2%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AWSAWS SDKAWS SQSBackend DevelopmentCloudWatch LogsConfiguration ManagementData EngineeringIntegration TestingJavaJava DevelopmentMetrics MonitoringPlugin DevelopmentS3SQSSpring Framework
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