AlexanderNest/client-revenue-analyzer
Apr 2025 – Apr 2025
1 Month active
Languages Used
JavaJavaScriptPropertiesYAML
Technical Skills
Bug FixingDevOpsDockerELK StackJavaScriptLogging
Edik
PROFILE
Edik
Developed and integrated a Dockerized ELK Stack solution for centralized logging within the AlexanderNest/client-revenue-analyzer repository, focusing on enhancing observability and streamlining incident diagnosis. Leveraged JavaScript, Docker, and YAML to configure Elasticsearch, Logstash, and Kibana, enabling comprehensive log collection and analytics across environments. Implemented a Logstash pipeline and updated application properties to support ELK integration, while ensuring sensitive values such as API tokens and calendar IDs were securely managed through environment variables. Addressed a stability issue in ELK data processing and logging, restoring expected functionality and supporting data-driven troubleshooting for the application’s ongoing operational reliability and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
191
Activity Months1
Your Network
6 peopleShared Repositories
6
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Delivered ELK Stack integration for centralized logging in AlexanderNest/client-revenue-analyzer, enabling centralized log collection and analytics via a Dockerized ELK stack (Elasticsearch, Logstash, Kibana). Implemented a Logstash pipeline, updated application properties to enable ELK integration, and wired sensitive values (API tokens, calendar IDs) to environment variables. Performed a stability fix in ELK data processing and logging to restore expected functionality. This work enhances observability, accelerates incident diagnosis, and supports data-driven troubleshooting across environments.
2 Commits • 1 Features
Apr 1, 2025April 2025: Delivered ELK Stack integration for centralized logging in AlexanderNest/client-revenue-analyzer, enabling centralized log collection and analytics via a Dockerized ELK stack (Elasticsearch, Logstash, Kibana). Implemented a Logstash pipeline, updated application properties to enable ELK integration, and wired sensitive values (API tokens, calendar IDs) to environment variables. Performed a stability fix in ELK data processing and logging to restore expected functionality. This work enhances observability, accelerates incident diagnosis, and supports data-driven troubleshooting across environments.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaJavaScriptPropertiesYAML
Technical Skills
Bug FixingDevOpsDockerELK StackJavaScriptLogging
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