Ante Krešić is a seasoned backend engineer based in Zagreb with 10 years of experience building high-performance systems, currently focused on Go and time-series database work at Timescale. He combines hands-on database engineering with performance optimization—contributions to TimescaleDB include memory and compression improvements and roll-up logic for compressed chunks. Ante has a track record across observability and load-testing tooling (notably contributions to k6 and Promscale) and has improved tooling and test coverage in the Time Series Benchmark Suite. His background spans security and web services roles at Sucuri and GoDaddy, giving him a practical appreciation for reliability and production constraints. Known for pragmatic low-level fixes that yield measurable gains, he prefers tackling performance hot spots and storage efficiency in distributed systems.
10 years of coding experience
9 years of employment as a software developer
Dipl. ing., Computer Science, Dipl. ing., Computer Science at Sveučilište u Mostaru
[DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
Role in this project:
Back-end Developer & Database Engineer
Contributions:631 reviews, 147 commits, 210 PRs in 2 years 4 months
Contributions summary:Ante primarily contributed to the core functionality of the project by adding a library for data ingestion based on a series-based schema. They implemented changes to testing files related to the underlying PostgreSQL database interactions, and refactored the code related to the HA service. The contributions suggest a focus on optimizing data storage and retrieval within the database.
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
Role in this project:
Back-end Developer & Database Engineer
Contributions:4 reviews, 45 commits, 13 PRs in 6 months
Contributions summary:Ante primarily focused on enhancing the functionality of the `tsbs_load_timescaledb` component. They introduced a new flag for specifying the admin database, allowing greater flexibility in database connections. Furthermore, the user added unit tests to increase coverage for query generation, specifically for the TimescaleDB database. They also refactored data generation measurements and functions to improve code quality for the IoT use case.
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