Them Scheme of how the streaming topology for collecting logs works . In the rest of the report we will consider Vector as an agent for collecting logs from cluster nodes. Vector in Kubernetes Now lets figure out how Vector works in Kubernetes. First lets look at the sub below Vector containers in Kubernetes after deployment in DaemonSet format The diagram may seem overly complicate but there is a reason for that. In this pod we have three containers The first one uses Vector. Its main purpose is to collect logs. The second container is Reloader.
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Users of our platform have the opportunity to describe their own log collection pipelines. A special operator takes userspecifie data and creates a configmap for Vector. The Reloaders job is to check that the config is correct and if so to reload the Vector. The third Norway WhatsApp Number List container is Kube RBAC proxy . This is important because Vector displays various metrics about the logs it collects. This information may be sensitive so it is important to protect it with proper authorization. Vector is deploye as a DaemonSet its agents must be on all nodes of the Kubernetes cluster apiVersion appsv kind DaemonSet volumes name varlog hostPath path varlog name vector datadir host Path path mntvector data name localtime.
Logs condition severity info
HostPath path etclo caltime volume Mounts name varlog mount Path varlog read Only true termination GracePeriod Seconds share Process Namespace true In addition additional directories nee to be connecte to Vector so that it can collect logs varlog which also stores pod logs mntvectordata a directory on the host for storing checkpoints as well as for storing a buffer. Every time Cambodia Phone Number List Vector sends a log line it writes a checkpoint to avoid duplicate logs being sent to storage localtimeto get the nodes time zone. A few notes about the listing above When mounting a directory varlogit is important not to forget to enable the mode readOnly. This precaution prevents unauthorize modification of log files.
