Additional labels specify an error type (calling_webhook_error or apiserver_internal_error if an error occurred; no_error otherwise) and optionally a non-zero rejection code if the webhook rejects the request with an HTTP status code (honored by the apiserver when the code is greater or equal to 400). apiserver_kube_aggregator_x509_insecure_sha1_total, Counts the number of requests to servers with insecure SHA1 signatures in their serving certificate OR the number of connection failures due to the insecure SHA1 signatures (either/or, based on the runtime environment), apiserver_kube_aggregator_x509_missing_san_total, Counts the number of requests to servers missing SAN extension in their serving certificate OR the number of connection failures due to the lack of x509 certificate SAN extension missing (either/or, based on the runtime environment), Number of requests which apiserver aborted possibly due to a timeout, for each group, version, verb, resource, subresource and scope. 'unschedulable' means a pod could not be scheduled, while 'error' means an internal scheduler problem. static is true if the pod is not from the apiserver. Number of requests to the PodResource Get endpoint. prometheus kubelet_evented_pleg_connection_success_count. While Prometheus works great out-of-the-box for smaller deployments, running Prometheus at scale creates some uniquely difficult Gauge measuring percentage of allocated CIDRs. KMS operation duration with gRPC error code status total. This metric records the data about the stage and enablement of a k8s feature. Number of requests to the PodResource List endpoint which returned error. volume_manager_selinux_container_warnings_total. The fix may need to happen elsewhere in the Kubernetes project. Features Prometheus's main features are: The number of pods the kubelet considers active and which are being considered when admitting new pods. Stable metrics observe strict API contracts and no labels can be added or removed from stable metrics during their lifetime. Configuration Kubelet can't start such a Pod then and it will retry, therefore value of this metric may not represent the actual nr. Broken down by verb and host. kubelet_started_host_process_containers_total. apiserver_envelope_encryption_dek_cache_inter_arrival_time_seconds. Duration in seconds for a probe response. metrics timeseries. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc. Number of errors preventing normal evaluation. Prometheus is an open-source instrumentation framework that can absorb massive amounts of data every second. apiserver_admission_step_admission_duration_seconds. Counter of authenticated requests broken out by username. Duration for running a plugin at a specific extension point. apiserver_flowcontrol_current_executing_requests, Number of requests in initial (for a WATCH) or any (for a non-WATCH) execution stage in the API Priority and Fairness subsystem, apiserver_flowcontrol_current_inqueue_requests, Number of requests currently pending in queues of the API Priority and Fairness subsystem, apiserver_flowcontrol_current_limit_seats, current derived number of execution seats available to each priority level, Observations, at the end of every nanosecond, of (the number of seats each priority level could use) / (nominal number of seats for that level), apiserver_flowcontrol_demand_seats_average, Time-weighted average, over last adjustment period, of demand_seats, apiserver_flowcontrol_demand_seats_high_watermark, High watermark, over last adjustment period, of demand_seats, apiserver_flowcontrol_demand_seats_smoothed, Time-weighted standard deviation, over last adjustment period, of demand_seats, apiserver_flowcontrol_dispatched_requests_total, Number of requests executed by API Priority and Fairness subsystem, apiserver_flowcontrol_epoch_advance_total, Number of times the queueset's progress meter jumped backward, Configured lower bound on number of execution seats available to each priority level, apiserver_flowcontrol_next_discounted_s_bounds, min and max, over queues, of S(oldest waiting request in queue) - estimated work in progress, min and max, over queues, of S(oldest waiting request in queue), apiserver_flowcontrol_nominal_limit_seats, Nominal number of execution seats configured for each priority level, apiserver_flowcontrol_priority_level_request_utilization, Observations, at the end of every nanosecond, of number of requests (as a fraction of the relevant limit) waiting or in any stage of execution (but only initial stage for WATCHes), apiserver_flowcontrol_priority_level_seat_utilization, Observations, at the end of every nanosecond, of utilization of seats for any stage of execution (but only initial stage for WATCHes), apiserver_flowcontrol_read_vs_write_current_requests, Observations, at the end of every nanosecond, of the number of requests (as a fraction of the relevant limit) waiting or in regular stage of execution, apiserver_flowcontrol_rejected_requests_total, Number of requests rejected by API Priority and Fairness subsystem, apiserver_flowcontrol_request_concurrency_in_use, Concurrency (number of seats) occupied by the currently executing (initial stage for a WATCH, any stage otherwise) requests in the API Priority and Fairness subsystem, apiserver_flowcontrol_request_concurrency_limit, Shared concurrency limit in the API Priority and Fairness subsystem, apiserver_flowcontrol_request_dispatch_no_accommodation_total, Number of times a dispatch attempt resulted in a non accommodation due to lack of available seats, apiserver_flowcontrol_request_execution_seconds, Duration of initial stage (for a WATCH) or any (for a non-WATCH) stage of request execution in the API Priority and Fairness subsystem, apiserver_flowcontrol_request_queue_length_after_enqueue, Length of queue in the API Priority and Fairness subsystem, as seen by each request after it is enqueued, apiserver_flowcontrol_request_wait_duration_seconds, Length of time a request spent waiting in its queue, Fair fraction of server's concurrency to allocate to each priority level that can use it, Configured upper bound on number of execution seats available to each priority level, apiserver_flowcontrol_watch_count_samples, count of watchers for mutating requests in API Priority and Fairness, apiserver_flowcontrol_work_estimated_seats, Number of estimated seats (maximum of initial and final seats) associated with requests in API Priority and Fairness. Overview Broken down by server api version. The last time in seconds when a keyID was returned by the Status RPC call. This property makes Prometheus well-suited for monitoring complex workloads. This format is structured plain text, designed so that people and machines can both read it. While Prometheus works great out-of-the-box for smaller deployments, running Prometheus at scale creates some uniquely difficult WebPrometheus is configured via command-line flags and a configuration file. deprecated in that release. Deleted metrics are no longer published and cannot be used. Use Prometheus to monitor your servers, VMs, databases, and draw on that data to analyze the performance of your applications and infrastructure. Features Prometheus's main features are: apiserver_admission_webhook_request_total. service (for example, Prometheus).
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