NextGenBeing Founder
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Loading...Introduction to Time-Series Data Platforms
Last quarter, our team discovered that our existing time-series data platform couldn't handle the sudden spike in data from our IoT devices. We tried to optimize it, but it was clear that we needed a more scalable solution. That's when we decided to build a new platform using VictoriaMetrics 1.83, Grafana, and Kubernetes.
The Problem with Traditional Time-Series Databases
Traditional time-series databases like InfluxDB and OpenTSDB are great for small-scale applications, but they become bottlenecked when dealing with large amounts of data. We experienced this firsthand when our database started to slow down, causing delays in our analytics pipeline. We needed a database that could handle high ingestion rates and provide fast query performance.
Why VictoriaMetrics 1.83?
After researching various time-series databases, we chose VictoriaMetrics 1.83 for its high performance, scalability, and ease of use. VictoriaMetrics is a fast, scalable, and open-source time-series database that can handle large amounts of data. It's also highly configurable, which made it easy to tailor to our specific use case.
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