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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
The most naïve way of implementing support for warm pools is to do nothing more than creating the warm pool. Unfortunately, this would start kubelet, which will register the Node with the cluster. Since the AWS cloud provider does not remove instances in stopped state, the control plane marks the Node NotReady, but keep it around in case it comes back up.
In this section I will take you through comparing the time it takes to scale out a Kubernetes Deployment with and without a warm pool enabled. The acid test is the interval between Cluster Autoscaler (CAS) reacts to the scale-out demand and all the Pods starting.
Over the last year or so I have regularly contributed to kOps, which is my preferred way of deploying and maintaining production-ready clusters on AWS. I know well how it boots a plain Ubuntu instance and configures it to become a Kubernetes node, and I could not imagine implementing warm pool support would be any challenge. And turns out it was not either.
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