Top expert inDevOps and Cloud Infrastructure Automation
Kay Delaney is a Full Stack Engineer in Ireland with six years of experience building observability and investigative intelligence tooling. At Grafana Labs she contributes across front-end and back-end, notably extending Grafana’s Explore to support InfluxDB logs, adding UX start pages and fixing date-math parsing in a high-profile open-source repo. She also researches and prototypes features for Siren’s heavily modified Elasticsearch/Kibana investigative platform, blending R&D rigor with production delivery. Early cloud work at HPE (Ansible, Python, Go) and a BSc in Mathematical Science give her a systems-oriented, query-to-UI perspective that surfaces in both polish and scalability decisions.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematical Science, Hons., Bachelor of Science - BS, Mathematical Science, Hons. at National University of Ireland, Galway
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Role in this project:
Back-end Developer & UI Developer
Contributions:690 reviews, 609 commits, 1027 PRs in 3 years 8 months
Contributions summary:Kay's contributions are focused on enhancing the InfluxDB integration within the Grafana platform's Explore feature. They primarily worked on adding support for InfluxDB logs in Explore, implementing a start page for logs, and modifying the query behavior within the logs mode. The user contributed by developing frontend code, including new UI components, and also addressed issues such as enabling accurate data links. Additionally, they fixed an issue with the date math string parsing, showing competence in frontend UI development.
1000+ vector icons as easy to use React Components
Contributions:3 commits, 3 pushes in 1 day
reactvector-iconssvgsvg-filesvector
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