
Konstantin Kobylyanskiy developed a global sample limit configuration for the VictoriaMetrics repository, enabling per-scrape-target sample caps with override capabilities. Working in Go and focusing on backend development, he replaced memory-intensive approaches with a lightweight sampleLimit mechanism that reduces memory usage during high-cardinality scrapes. His implementation mirrored Prometheus sampleLimit semantics, clarifying how target-level limits interact with global settings and ensuring compatibility. By addressing issue #10145, Konstantin ensured that per-target overrides prevent over-accumulation of samples, improving scalability and resource efficiency. This work demonstrated a deep understanding of backend systems and effective use of Go for optimizing large-scale metric ingestion.
December 2025: Delivered Global Sample Limit Configuration per Scrape Target for VictoriaMetrics to cap samples per target, enabling per-target overrides and reducing memory usage; improved scalability for high-cardinality scrapes and Prometheus compatibility.
December 2025: Delivered Global Sample Limit Configuration per Scrape Target for VictoriaMetrics to cap samples per target, enabling per-target overrides and reducing memory usage; improved scalability for high-cardinality scrapes and Prometheus compatibility.

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