Kruno Fabro
Owner at Automata
Zagreb, Croatia
Summary
🤩
Rockstar🎓
Top SchoolKruno Fabro is a software engineer and founder with a decade of experience building production-grade systems and exploring new approaches to artificial intelligence through his company Automata. Based in Zagreb, he combines strong academic training (MSc and BSc in Computer Science from FER) with hands-on engineering, often focusing on back-end and observability pipelines. His open-source contributions include meaningful improvements to the high-performance Vector observability project, where he enhanced Prometheus sink support and metric processing for distribution metrics. Comfortable shipping features end-to-end, Kruno blends systems-level rigor with a product-minded drive to turn ideas into working software. Colleagues describe him as pragmatic and detail-oriented, with a penchant for improving real-world telemetry and storage efficiency.
10 years of coding experience
Bachelor of Science (BS), Computer Science, 4.4, Bachelor of Science (BS), Computer Science, 4.4 at Fakultet elektrotehnike i računarstvaTechnician, Computer Programming, Technician, Computer Programming at Tehnička škola Bjelovar
Github Skills (6)
rust10
prometheus10
data-pipelines10
data-pipeline10
metric10
observability9
Programming languages (4)
Github contributions (5)
vectordotdev/vector
Aug 2019 - Dec 2022
A high-performance observability data pipeline.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:345 reviews, 271 commits, 492 PRs in 3 years 4 months
Contributions summary:Kruno's commits primarily involve significant enhancements to the Prometheus sink within the Vector data pipeline, as evidenced by the feature implementations and the addition of a new metric to the data model. The commits focused on improving the functionality of the Prometheus sink to align with the Prometheus standard by adding support for distribution metrics and also included enhancements for more efficient processing. The work extended to the inclusion of features and changes related to the processing, handling, and storage of metrics.
stream-processingeventspipelinerustdata-observability
ktff/vector
Jun 2022 - Jun 2023
A high-performance observability data pipeline.
Contributions:158 pushes, 13 branches in 1 year
pipelinedata-observabilityobservabilityperformancedata-pipeline
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