truemark/autoalarm
Feb 2025 – Feb 2025
1 Month active
Languages Used
MarkdownTypeScriptYAML
Technical Skills
AWSAWS CDKAWS SDKAWS Step FunctionsBackend DevelopmentCDK
jleibbrandt
PROFILE
Jleibbrandt
Worked on the truemark/autoalarm repository to enhance observability, reliability, and operational clarity across AWS infrastructure. Developed features for automated RDS monitoring with event-driven auto-alarms, fine-tuned OpenSearch alarm thresholds to improve sensitivity, and integrated AWS Step Functions monitoring with new event handling and alarm rules. Refined infrastructure by simplifying EC2 tag rule scopes and clarifying CDK resource naming. Leveraged TypeScript, AWS CDK, and CloudWatch to deliver solutions that enable faster detection and reduced downtime. The work focused on Infrastructure as Code principles, batch failure reporting via SQS, and clear documentation, resulting in more maintainable and responsive cloud operations.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
4
Lines of code
2,124
Activity Months1
Your Network
11 peopleSame Organization
@truemark.io4
Shared Repositories
7
Fouad RoumiehMember
jgilgenMember
Joe GilgenMember
Jim WilliamsMember
Daryl CalhounMember
William RoseMember
William RoseMember
Work History
February 2025
13 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary focusing on delivering enhanced observability, reliability, and performance for truemark/autoalarm. Implemented RDS monitoring with auto-alarms, tuned OpenSearch thresholds, added Step Functions monitoring, and refined tagging rules and CDK infrastructure naming. All work driven by business value—faster detection, reduced downtime, and clearer operational clarity across critical AWS services.
13 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary focusing on delivering enhanced observability, reliability, and performance for truemark/autoalarm. Implemented RDS monitoring with auto-alarms, tuned OpenSearch thresholds, added Step Functions monitoring, and refined tagging rules and CDK infrastructure naming. All work driven by business value—faster detection, reduced downtime, and clearer operational clarity across critical AWS services.
February 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability86.2%
Architecture86.2%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownTypeScriptYAML
Technical Skills
AWSAWS CDKAWS SDKAWS Step FunctionsBackend DevelopmentCDKCloud ComputingCloud InfrastructureCloud MonitoringCloudFormationCloudTrailCloudWatchCloudWatch AlarmsConfiguration ManagementDocumentation
Repositories Contributed To
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