louislam/uptime-kuma
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
Prometheusbackend developmentmonitoring
François HONORE
PROFILE
François Honore
Contributed to the louislam/uptime-kuma repository by enhancing monitoring capabilities through the addition of two new Prometheus metrics that track uptime ratio and response time over configurable time windows. This work involved updating both the Prometheus client and the uptime calculator to support these metrics, enabling more granular and accurate observability for backend services. The implementation, completed in JavaScript, focused on improving performance tracking and supporting data-driven reliability decisions without introducing new bug fixes. By providing detailed visibility into uptime and latency, these changes allow for faster incident response and more precise service level agreement assessments within the monitoring infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
77
Activity Months1
Your Network
200 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for louislam/uptime-kuma: Focused on elevating observability and reliability. Implemented two new Prometheus metrics to quantify uptime ratio and response time over configurable windows, enhancing performance tracking and SLA assessment. Updated the Prometheus client and uptime calculator to support the new metrics, enabling accurate instrumentation and reporting. No major bug fixes were reported this month; ongoing maintenance centered on strengthening monitoring and data-driven reliability decisions. Impact: improved visibility for uptime and latency, enabling faster incident response and better customer SLAs. Technologies demonstrated: Prometheus metrics, instrumentation design, client and calculator updates, collaborative development (PR #5506 with multiple contributors).
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for louislam/uptime-kuma: Focused on elevating observability and reliability. Implemented two new Prometheus metrics to quantify uptime ratio and response time over configurable windows, enhancing performance tracking and SLA assessment. Updated the Prometheus client and uptime calculator to support the new metrics, enabling accurate instrumentation and reporting. No major bug fixes were reported this month; ongoing maintenance centered on strengthening monitoring and data-driven reliability decisions. Impact: improved visibility for uptime and latency, enabling faster incident response and better customer SLAs. Technologies demonstrated: Prometheus metrics, instrumentation design, client and calculator updates, collaborative development (PR #5506 with multiple contributors).
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
Prometheusbackend developmentmonitoring
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