Source: engineering.razorpay.com
Scaling to trillions of metric data pointsCategory: Kubernetes, Infrastructure
Authors: Venkat Vaidhyanathan and Vaibhav Khurana And all of this starts with better monitoring and metrics.
As we have grown in traffic, we had to revisit some of our fundamental assumptions and ways for improving our metrics and observability platform.
The following are some of the basic observations we derived from Victoria Metrics: We first pointed our Prometheus servers to remote write to Victoria Metrics.
While we are expanding this to 3 months on the victoria metrics side, we are also planning to export these into our data lake for longer-term work around data science and workload behaviour modelling.
As we have grown in traffic, we had to revisit some of our fundamental assumptions and ways for improving our metrics and observability platform.
The following are some of the basic observations we derived from Victoria Metrics: We first pointed our Prometheus servers to remote write to Victoria Metrics.
While we are expanding this to 3 months on the victoria metrics side, we are also planning to export these into our data lake for longer-term work around data science and workload behaviour modelling.
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