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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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83c87f822a
Signed-off-by: Artem Navoiev <tenmozes@gmail.com>
238 lines
12 KiB
Markdown
238 lines
12 KiB
Markdown
---
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sort: 6
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weight: 6
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title: Design
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menu:
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docs:
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parent: "operator"
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weight: 6
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aliases:
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- /operator/design.html
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---
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# Design
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This document describes the design and interaction between the custom resource definitions (CRD) that the Victoria
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Metrics Operator introduces.
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Operator introduces the following custom resources:
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* [VMSingle](#vmsingle)
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* [VMCluster](#vmcluster)
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* [VMAgent](#vmagent)
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* [VMAlert](#vmalert)
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* [VMServiceScrape](#vmservicescrape)
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* [VMPodScrape](#vmpodscrape)
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* [VMAlertmanager](#vmalertmanager)
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* [VMAlertmanagerConfig](#vmalertmanagerconfig)
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* [VMRule](#vmrule)
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* [VMProbe](#vmprobe)
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* [VMNodeScrape](#vmodescrape)
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* [VMStaticScrape](#vmstaticscrape)
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* [VMAuth](#vmauth)
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* [VMUser](#vmuser)
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## VMSingle
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The `VMSingle` CRD declaratively defines a [single-node VM](https://github.com/VictoriaMetrics/VictoriaMetrics)
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installation to run in a Kubernetes cluster.
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For each `VMSingle` resource, the Operator deploys a properly configured `Deployment` in the same namespace.
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The VMSingle `Pod`s are configured to mount an empty dir or `PersistentVolumeClaimSpec` for storing data.
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Deployment update strategy set to [recreate](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#recreate-deployment).
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No more than one replica allowed.
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For each `VMSingle` resource, the Operator adds `Service` and `VMServiceScrape` in the same namespace prefixed with
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name `<VMSingle-name>`.
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## VMCluster
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The `VMCluster` CRD defines a [cluster version VM](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster).
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For each `VMCluster` resource, the Operator creates `VMStorage` as `StatefulSet`, `VMSelect` as `StatefulSet` and `VMInsert`
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as deployment. For `VMStorage` and `VMSelect` headless services are created. `VMInsert` is created as service with clusterIP.
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There is a strict order for these objects creation and reconciliation:
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1. `VMStorage` is synced - the Operator waits until all its pods are ready;
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2. Then it syncs `VMSelect` with the same manner;
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3. `VMInsert` is the last object to sync.
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All statefulsets are created with [OnDelete](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#on-delete)
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update type. It allows to manually manage the rolling update process for Operator by deleting pods one by one and waiting
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for the ready status.
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Rolling update process may be configured by the operator env variables.
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The most important is `VM_PODWAITREADYTIMEOUT=80s` - it controls how long to wait for pod's ready status.
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## VMAgent
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The `VMAgent` CRD declaratively defines a desired [VMAgent](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmagent)
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setup to run in a Kubernetes cluster.
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For each `VMAgent` resource Operator deploys a properly configured `Deployment` in the same namespace.
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The VMAgent `Pod`s are configured to mount a `Secret` prefixed with `<VMAgent-name>` containing the configuration
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for VMAgent.
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For each `VMAgent` resource, the Operator adds `Service` and `VMServiceScrape` in the same namespace prefixed with
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name `<VMAgent-name>`.
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The CRD specifies which `VMServiceScrape` should be covered by the deployed VMAgent instances based on label selection.
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The Operator then generates a configuration based on the included `VMServiceScrape`s and updates the `Secret` which
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contains the configuration. It continuously does so for all changes that are made to the `VMServiceScrape`s or the
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`VMAgent` resource itself.
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If no selection of `VMServiceScrape`s is provided - Operator leaves management of the `Secret` to the user,
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so user can set custom configuration while still benefiting from the Operator's capabilities of managing VMAgent setups.
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## VMAlert
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The `VMAlert` CRD declaratively defines a desired [VMAlert](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmalert)
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setup to run in a Kubernetes cluster.
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For each `VMAlert` resource, the Operator deploys a properly configured `Deployment` in the same namespace.
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The VMAlert `Pod`s are configured to mount a list of `Configmaps` prefixed with `<VMAlert-name>-number` containing
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the configuration for alerting rules.
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For each `VMAlert` resource, the Operator adds `Service` and `VMServiceScrape` in the same namespace prefixed with
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name `<VMAlert-name>`.
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The CRD specifies which `VMRule`s should be covered by the deployed VMAlert instances based on label selection.
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The Operator then generates a configuration based on the included `VMRule`s and updates the `Configmaps` containing
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the configuration. It continuously does so for all changes that are made to `VMRule`s or to the `VMAlert` resource itself.
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Alerting rules are filtered by selector `ruleNamespaceSelector` in `VMAlert` CRD definition. For selecting rules from all
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namespaces you must specify it to empty value:
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```yaml
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spec:
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ruleNamespaceSelector: {}
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```
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## VMServiceScrape
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The `VMServiceScrape` CRD allows to define a dynamic set of services for monitoring. Services
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and scraping configurations can be matched via label selections. This allows an organization to introduce conventions
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for how metrics should be exposed. Following these conventions new services will be discovered automatically without
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need to reconfigure.
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Monitoring configuration based on `discoveryRole` setting. By default, `endpoints` is used to get objects from kubernetes api.
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Its also possible to use `discoveryRole: service` or `discoveryRole: endpointslices`
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`Endpoints` objects are essentially lists of IP addresses.
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Typically, `Endpoints` objects are populated by `Service` object. `Service` object discovers `Pod`s by a label
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selector and adds those to the `Endpoints` object.
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A `Service` may expose one or more service ports backed by a list of one or multiple endpoints pointing to
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specific `Pod`s. The same reflected in the respective `Endpoints` object as well.
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The `VMServiceScrape` object discovers `Endpoints` objects and configures VMAgent to monitor `Pod`s.
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The `Endpoints` section of the `VMServiceScrapeSpec` is used to configure which `Endpoints` ports should be scraped.
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For advanced use cases, one may want to monitor ports of backing `Pod`s, which are not a part of the service endpoints.
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Therefore, when specifying an endpoint in the `endpoints` section, they are strictly used.
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> Note: `endpoints` (lowercase) is the field in the `VMServiceScrape` CRD, while `Endpoints` (capitalized) is the Kubernetes object kind.
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Both `VMServiceScrape` and discovered targets may belong to any namespace. It is important for cross-namespace monitoring
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use cases, e.g. for meta-monitoring. Using the `serviceScrapeSelector` of the `VMAgentSpec`
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one can restrict the namespaces from which `VMServiceScrape`s are selected from by the respective VMAgent server.
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Using the `namespaceSelector` of the `VMServiceScrape` one can restrict the namespaces from which `Endpoints` can be
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discovered from. To discover targets in all namespaces the `namespaceSelector` has to be empty:
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```yaml
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spec:
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namespaceSelector: {}
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```
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## VMPodScrape
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The `VMPodScrape` CRD allows to declaratively define how a dynamic set of pods should be monitored.
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Use label selections to match pods for scraping. This allows an organization to introduce conventions
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for how metrics should be exposed. Following these conventions new services will be discovered automatically without
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need to reconfigure.
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A `Pod` is a collection of one or more containers which can expose Prometheus metrics on a number of ports.
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The `VMPodScrape` object discovers pods and generates the relevant scraping configuration.
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The `PodMetricsEndpoints` section of the `VMPodScrapeSpec` is used to configure which ports of a pod are going to be
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scraped for metrics and with which parameters.
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Both `VMPodScrapes` and discovered targets may belong to any namespace. It is important for cross-namespace monitoring
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use cases, e.g. for meta-monitoring. Using the `namespaceSelector` of the `VMPodScrapeSpec` one can restrict the
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namespaces from which `Pods` are discovered from. To discover targets in all namespaces the `namespaceSelector` has to
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be empty:
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```yaml
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spec:
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namespaceSelector:
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any: true
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```
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## VMAlertmanager
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The `VMAlertmanager` CRD declaratively defines a desired Alertmanager setup to run in a Kubernetes cluster.
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It provides options to configure replication and persistent storage.
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For each `Alertmanager` resource, the Operator deploys a properly configured `StatefulSet` in the same namespace.
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The Alertmanager pods are configured to include a `Secret` called `<alertmanager-name>` which holds the used
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configuration file in the key `alertmanager.yaml`.
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When there are two or more configured replicas the Operator runs the Alertmanager instances in high availability mode.
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## VMAlertmanagerConfig
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The `VMAlertmanagerConfig` provides way to configure `VMAlertmanager` configuration with CRD. It allows to define different configuration parts,
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which will be merged by operator into config. It behaves like other config parts - `VMServiceScrape` and etc.
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## VMRule
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The `VMRule` CRD declaratively defines a desired Prometheus rule to be consumed by one or more VMAlert instances.
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Alerts and recording rules can be saved and applied as YAML files, and dynamically loaded without requiring any restart.
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## VMPrometheusConverter
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By default, the Operator converts and updates existing prometheus-operator API objects:
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`ServiceMonitor` into `VMServiceScrape`
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`PodMonitor` into `VMPodScrape`
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`PrometheusRule` into `VMRule`
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`Probe` into `VMProbe`
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Removing prometheus-operator API objects wouldn't delete any converted objects. So you can safely migrate or run
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two operators at the same time.
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## VMProbe
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The `VMProbe` CRD provides probing target ability with a prober. The most common prober is [blackbox exporter](https://github.com/prometheus/blackbox_exporter).
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By specifying configuration at CRD, operator generates config for `VMAgent` and syncs it. Its possible to use static targets
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or use standard k8s discovery mechanism with `Ingress`.
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You have to configure blackbox exporter before you can use this feature. The second requirement is `VMAgent` selectors,
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it must match your `VMProbe` by label or namespace selector.
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## VMNodeScrape
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The `VMNodeScrape` CRD provides discovery mechanism for scraping metrics kubernetes nodes.
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By specifying configuration at CRD, operator generates config for `VMAgent` and syncs it. Its useful for cadvisor scraping,
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node-exporter or other node-based exporters. `VMAgent` nodeScrapeSelector must match `VMNodeScrape` labels.
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## VMStaticScrape
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The `VMStaticScrape` CRD provides mechanism for scraping metrics from static targets, configured by CRD targets.
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By specifying configuration at CRD, operator generates config for `VMAgent` and syncs it. It's useful for external targets management,
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when service-discovery is not available. `VMAgent` staticScrapeSelector must match `VMStaticScrape` labels.
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## VMAuth
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The `VMAuth` CRD provides mechanism for exposing application with authorization to outside world or to other applications inside kubernetes cluster.
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For first case, user can configure `ingress` setting at `VMAuth` CRD. For second one, operator will create secret with `username` and `password` at `VMUser` CRD name.
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So it will be possible to access this credentials from any application by targeting corresponding kubernetes secret.
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## VMUser
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The `VMUser` CRD describes user configuration, its authentication methods `basic auth` or `Authorization` header. User access permissions, with possible routing information.
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User can define routing target with `static` config, by entering target `url`, or with `CRDRef`, in this case, operator queries kubernetes API, retrieves information about CRD and builds proper url.
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