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. Leveraging AWS services such as Kinesis Firehose, S3, and Lambda, and using TypeScript and YAML, Gericson engineered a solution where logs sent to Kinesis Firehose are organized with the account ID as a prefix in S3 object keys. This approach improved cross-account traceability and streamlined log retrieval, supporting faster root-cause analysis and compliance reporting. The work demonstrated a strong grasp of Infrastructure as Code and cloud-native logging patterns, delivering depth in both design and implementation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,336
Activity Months1
Your Network
1424 people
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
Activity
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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
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