LCIT-AIP-W25/StickGen
Feb 2025 – Apr 2025
3 Months active
Languages Used
JavaScriptYAMLPython
Technical Skills
API DevelopmentCORSElasticsearchExpress.jsNode.jsCI/CD
Naruto7335
PROFILE
Naruto7335
Over a three-month period, contributed to the LCIT-AIP-W25/StickGen repository by building a scalable news API server and establishing a robust data pipeline. Developed backend features using Node.js and Express.js, integrating Elasticsearch for trend data analytics and enabling CORS for secure API access. Enhanced observability and deployment velocity by adding a Kibana dashboard route and implementing CI/CD automation with Jenkins and Docker Compose. Automated testing and deployment for Kafka-based data pipelines, introducing comprehensive unit tests in Python to verify producer reliability. This work emphasized maintainable, data-driven infrastructure and streamlined release processes, supporting future analytics and visualization capabilities without reported bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
1,344
Activity Months3
Your Network
4 peopleSame Organization
@loyalistcollege.com4
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for LCIT-AIP-W25/StickGen: Implemented Data Pipeline CI/CD Automation to stabilize and accelerate data pipeline deployments. Established Jenkins-based testing for producer/consumer components, added Dockerfiles for producer/consumer, and created a Jenkinsfile for end-to-end CI/CD, plus ELK stack integration configurations. Introduced comprehensive unit tests for Kafka producer instantiation and message sending to increase reliability and catch issues early. This work lays the foundation for automated testing and deployment of the data pipeline, reducing manual steps and enabling faster, safer releases.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for LCIT-AIP-W25/StickGen: Implemented Data Pipeline CI/CD Automation to stabilize and accelerate data pipeline deployments. Established Jenkins-based testing for producer/consumer components, added Dockerfiles for producer/consumer, and created a Jenkinsfile for end-to-end CI/CD, plus ELK stack integration configurations. Introduced comprehensive unit tests for Kafka producer instantiation and message sending to increase reliability and catch issues early. This work lays the foundation for automated testing and deployment of the data pipeline, reducing manual steps and enabling faster, safer releases.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LCIT-AIP-W25/StickGen highlights two core enhancements that improve reliability and deployment velocity, delivering measurable business value in observability, data visualization, and end-to-end automation. Key outcomes include improved Elasticsearch error handling with richer logs and a new /dashboard route for quick Kibana visualization, plus CI/CD automation via Jenkins in Docker Compose to streamline builds and deployments.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LCIT-AIP-W25/StickGen highlights two core enhancements that improve reliability and deployment velocity, delivering measurable business value in observability, data visualization, and end-to-end automation. Key outcomes include improved Elasticsearch error handling with richer logs and a new /dashboard route for quick Kibana visualization, plus CI/CD automation via Jenkins in Docker Compose to streamline builds and deployments.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 highlights for LCIT-AIP-W25/StickGen focused on building a solid foundation and enabling data-driven capabilities for future features. No major bug fixes were reported this month; effort centered on initialization and API scaffolding to accelerate delivery.
2 Commits • 2 Features
Feb 1, 2025February 2025 highlights for LCIT-AIP-W25/StickGen focused on building a solid foundation and enabling data-driven capabilities for future features. No major bug fixes were reported this month; effort centered on initialization and API scaffolding to accelerate delivery.
February 2025
Activity
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Quality Metrics
Correctness73.4%
Maintainability73.4%
Architecture70.0%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptPythonYAML
Technical Skills
API DevelopmentBeautifulSoupCI/CDCORSData EngineeringDockerElasticsearchExpress.jsJenkinsKafkaKibanaLogstashMockingMongoDBNode.js
Repositories Contributed To
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