awslabs/landing-zone-accelerator-on-aws
Mar 2025 – Mar 2025
1 Month active
Languages Used
JSONTypeScriptYAML
Technical Skills
AWSCloudWatchIAMInfrastructure as CodeKinesis FirehoseLambda
Greg Ericson
PROFILE
Greg Ericson
During March 2025, Gericson developed a CloudWatch Logs feature for the awslabs/landing-zone-accelerator-on-aws repository that dynamically partitions logs by AWS account ID and prefixes S3 object keys with the account ID for logs delivered via Kinesis Firehose. This solution, implemented using TypeScript, AWS Lambda, and Infrastructure as Code, addressed the need for improved cross-account traceability and streamlined log retrieval. By organizing logs per account and enhancing auditability, Gericson enabled faster root-cause analysis and compliance reporting. The work demonstrated a focused application of AWS services and modern cloud engineering practices, delivering a targeted feature with clear operational benefits for multi-account environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,336
Activity Months1
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Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for awslabs/landing-zone-accelerator-on-aws: Delivered a new CloudWatch Logs feature that dynamically partitions logs by AWS account ID and prefixes S3 object keys with the account ID for logs sent to Kinesis Firehose. This improves cross-account traceability, organization, and retrieval, enabling faster root-cause analysis and compliance reporting.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for awslabs/landing-zone-accelerator-on-aws: Delivered a new CloudWatch Logs feature that dynamically partitions logs by AWS account ID and prefixes S3 object keys with the account ID for logs sent to Kinesis Firehose. This improves cross-account traceability, organization, and retrieval, enabling faster root-cause analysis and compliance reporting.
March 2025
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONTypeScriptYAML
Technical Skills
AWSCloudWatchIAMInfrastructure as CodeKinesis FirehoseLambdaS3TypeScript
Repositories Contributed To
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