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, contributed to the awslabs/landing-zone-accelerator-on-aws repository by developing a CloudWatch Logs feature that dynamically partitions logs by AWS account ID. This enhancement organizes log data per account and prefixes S3 object keys with the account ID for logs delivered via Kinesis Firehose, streamlining cross-account traceability and retrieval. The solution was implemented using AWS services such as CloudWatch, Kinesis Firehose, and S3, with Infrastructure as Code and TypeScript for automation and maintainability. This work addressed the need for improved log organization, enabling faster root-cause analysis and compliance reporting across multiple AWS accounts without introducing new bugs.
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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