Prezi's engineering team transitioned from a costly and outdated Prometheus-based monitoring system to VictoriaMetrics, driven by the need for cost optimization, performance improvements, and architectural simplicity. By modernizing their metrics collection, they reduced query completion times from over 30 seconds to just 3-7 seconds. They faced challenges due to the resource demands of managing 5 million active series with Prometheus, which led them to evaluate several alternatives. Ultimately, they selected VictoriaMetrics for its efficiency and impressive cost savings, achieving a 30% reduction in operational costs and significant improvements in storage and memory usage.
By switching to VictoriaMetrics from Prometheus, Prezi’s engineering team achieved a 30% cost reduction and drastically improved query speeds from over 30 seconds to between 3-7 seconds.
The transition to VictoriaMetrics was driven by the need to modernize metrics collection while reducing operational complexity and costs, addressing the inefficiencies of the outdated Prometheus system.
The significant resource demands of the Prometheus setup, due to managing 5 million active series, led the team to explore simpler, more cost-effective alternatives like VictoriaMetrics.
VictoriaMetrics proved to be a game changer, utilizing block storage instead of object storage, resulting in 70% lower storage usage and 60% lower memory usage.
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