Lets look at an example. As you can see from the graph below three errors were initially recorde then four more. After some time the metric was remove from the results because there were no new errors. After a period of empty Three more errors occurre we will not see them anymore Unfortunately Prometheus in particular the PromQL function rateand similar ones are not able to cope with such gaps in the data. Instead it expects the metric to continue to flow throughout the period. To address this limitation we modifie the Vector code to remove the.
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This evasive maneuver was successful. Case No. Kubernetes control layer failure One day we notice that the Kubernetes control layer was crashing when Vector pods were restarte at the same time. After analyzing the dashboards we found out that the problem is relate Malta WhatsApp Number List to excessive memory usage primarily etcd To better understand the reason we had to dive into the internal kitchen of the Kubernetes API. When a Vector instance starts up it makes a LIST request to the Kubernetes API to populate its cache with pod metadata.
Outside of containers including
As state earlier Vector uses this metadata to enrich the log entries Accordingly each Vector instance aske the Kubernetes API for the metadata of the pods on the node on which Vector was running. At the same time for each individual request the Kubernetes API Albania Phone Number List reads data from etcd . etcd is a keyvalue database. The keys contain the type namespace and resource name registry kindnamespace name Vector uses kubeapiserverfieldSelector to request only data from the pods on average pods on its node . But since there are no data when querying etcd you nee to get the data of all pods in the cluster filter them and give Vector its pods.
