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Roman Khavronenko

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The Sixth Sense: Finding “Dead” Metrics and Silent Alerts in Your MonitoringOpen Source Monitoring Conference 20252025-11-18
Uses the VictoriaMetrics stack and its VictoriaMetrics Cardinality Explorer to show concrete savings: an empty Kubernetes demo generates 63,000 unique time…
Talk on
Lightning Talk: Viewing Raw Samples for Troubleshooting QueriesPromCon EU 20252025-10-21
Prometheus and VictoriaMetrics queries return interpreted results not the stored points, so the precise claim is that seeing raw samples changes…
Lightning on
Aggregating Metrics In-Flight: Challenges, OpportunitiesSREday London 2025 Q32025-09-18
Claims that a stream-aggregation collector (VictoriaMetrics agent) can precompute and drop raw series to prevent cardinality explosions, reduce query cost and…
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Aggregating metrics in-flight: challenges and opportunitiesPromCon EU 20242024-09-11
High-cardinality is reduced by performing pre-aggregation at ingest: VictoriaMetrics implements Stream Aggregation in the agent and single-node daemon to…
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Working with filesystem in Time Series databaseDevConf.US 20242024-08-14
VictoriaMetrics is written in Go and targets heavy ingestion, with 2–4 million samples/sec typical and single clusters exceeding 100M. Durability design trades…
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How to reduce expenses on monitoring with VictoriaMetricsstackconf 20232023-09-13
A set of concrete cost wins with VictoriaMetrics: swapping a Prometheus-like binary yields a 7-day benchmark drop from 83 GB to 33 GB of disk, memory from ~8…
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Writing a TSDB from Scratch: Performance OptimizationGopherCon Europe 20232023-06-26
VictoriaMetrics is a Go TSDB built from scratch and sustains about 17 million samples/sec ingestion with roughly 100 RPS reads, so optimizations focus on…
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Specifics of Data Analysis in Time Series DatabasesOSA Con 20222022-11-15
Compares VictoriaMetrics, Prometheus and ClickHouse with concrete examples: Grafana uses Prometheus API start/end/step so time filtering and resolution are…
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