Dario Gieselaar is a Principal Software Engineer II based in Amsterdam with 13 years of experience building observability, APM, search and generative AI features at scale. At Elastic he blends back-end engineering, DevOps and data-driven product thinking to turn telemetry into actionable insights, contributing to prominent open-source work in the Kibana APM codebase. He’s fluent in TypeScript and Elasticsearch aggregations, frequently designing solutions that reason about both existing and missing data to improve monitoring and performance. A pragmatic hands-on leader, he has driven architecture and chapter-level coaching at high-traffic consumer sites and earned multiple outstanding contribution awards at Elastic. Collected academic study in political science and cultural studies hints at a habit of asking broader systemic and user-centered questions when solving technical problems.
13 years of coding experience
14 years of employment as a software developer
Algemene Cultuurwetenschappen, Algemene Cultuurwetenschappen at Vrije Universiteit Amsterdam (VU Amsterdam)
Politicologie, Politicologie at University of Amsterdam
Contributions:2972 reviews, 564 commits, 1591 PRs in 3 years 9 months
Contributions summary:Dario contributed to APM-related backend features, including filtering based on transaction names. They implemented functionality to filter throughput on transaction names, and made code changes to several server-side components. The commits also indicate a focus on infrastructure-related tasks like setting dates in APM ML jobs and using new path syntax in a waterfall visualization.
Contributions:8 pushes, 1 branch in 4 years 4 months
agentapmelasticjavascriptelastic-apm
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