Playbooks for installing Prometheus and Grafana on Kubernetes HPE Express Containers

Prometheus is considered as the default monitoring solution for Kubernetes and was inspired by Borgman from Google. It collects metrics from applications and infrastructure using the HTTP pull requests. Targets are discovered via service discovery or static configuration. Pushing time series is also supported via an intermediary gateway. The playbook playbooks/install-kubectl.yml installs a specific version of kubectl based on the settings in your group_vars/vars file. Now that you’re shipping metrics to Grafana Cloud and have configured the appropriate external labels, you’re ready to import your Kube-Prometheus dashboards into your hosted Grafana instance. Once you’ve noted your Cloud Prometheus username and password, create the Kubernetes Secret.

This gives vital information on the performance and health of a platform. On a production system, it is likely that you will want to remove this NodePort. The following code segment shows how you can use the patch command to remove the NodePort. This section assumes we are exposing the applications at the ‘k3s.local’ domain and the ‘tls-credential’ secret has this domain name as is common name or SAN. Learn how to use Kubernetes, Grafana Loki, and Grafana Cloud’s synthetic monitoring feature to set up your infrastructure’s checks in this GrafanaCONline session. Your password corresponds to an API key that you can generate by clicking on Generate now in this same panel. To learn how to create a Grafana Cloud API key, please see Create a Grafana Cloud API key.

Monitoring

Certificates can be created using OpenSSL for the required name. It can be as simple as a self-signed SAN, or custom CA with SAN, or you can get them from a commercial certificate provider. You will need a Kubernetes cluster with NGINX Ingress installed in order to go through this article. In this article I will show you how to expose these services with NGINX Ingress either via subdomain (e.g. prometheus.my.domain) or web context (e.g. my.domain/prometheus). In this step, you’ll use Helm to install the Kube-Prometheus stack into your K8s cluster. A Kubernetes cluster with role-based access control enabled. # Metadata Labels and Annotations gets propagated to the ThanosRuler pods.

You can create a Secret by using a manifest file or create it directly using kubectl. To learn more about Kubernetes Secrets, please consult Secrets from the Kubernetes docs.

How To Setup Prometheus (Operator) and Grafana Monitoring On Kubernetes

A great option especially for your local cluster or hobby cluster. Set the limit of 140 characters for todos into the backend as well. Use Postman or curl to test that too long todos are blocked by the backend and you can see the non-allowed messages in your grafana.

• A Helm values file allows you to set configuration variables that are passed in to Helm’s chart templates.
• One page summary of how to start with the Prometheus Operator and kube-prometheus.
• # If null or unset, the value is determined dynamically based on target Kubernetes version.
• # ObjectStorageConfigFile specifies the path of the object storage configuration file.
• To confirm everything works for us let’s create a simple application that’ll output something to stdout.
• By default, this would put everything to the default namespace.

Our cluster and the apps in it have been pretty much a black box. We’ve thrown stuff in and then hoped that everything works all right. We’re going to use Prometheus to monitor the cluster and Grafana to view the data. One of the great strengths of Kubernetes is the ability to scale your services and applications.

Creating the dedicated monitoring namespace

To learn more about the difference between Active Series and DPM, please see What are active series and DPM. To learn more, please see Sending data from multiple high-availability Prometheus instances. We’ll create a values.yaml file defining Prometheus’s remote_write configuration, and then apply the new configuration to tje Kube-Prometheus release. Now that you’ve installed the stack in your cluster, you can begin shipping scraped metrics to Grafana Cloud. # EnforcedNamespaceLabel enforces adding a namespace label of origin for each alert and metric that is user created. Prometheus will collect, store and allow you to leverage your platform metrics. On the other hand, Grafana will plug into Prometheus and allow you to create beautiful dashboards and charts.

• A Kubernetes cluster with role-based access control enabled.
• If you deployed your monitoring stack in a namespace other than default, change the -n default flag to the appropriate namespace in the above command.
• You can read more about installing kubectl in the official documentation.
• In this step you’ll configure Prometheus to ship scraped metrics to Grafana Cloud.
• In this article I will show you how to expose these services with NGINX Ingress either via subdomain (e.g. prometheus.my.domain) or web context (e.g. my.domain/prometheus).
• The Prometheus Operator uses Monitor objects to discover dynamically endpoints and scrape metrics.
• Before you run the playbook to install Prometheus and Grafana on Kubernetes, you need to ensure that you have already downloaded and installed kubectl and set up your client bundle.

Before we can get started let’s look into how Kubernetes applications are managed more easily. Helm uses a packaging format called charts to define the dependencies of an application. CRD objects implement the behavior of the final application.

# them separately from the helm deployment, you can use this section. # AlertManager configurations specified are appended to the configurations generated by the Prometheus Operator. # Sharding is done on the content of the `__address__` target meta-label.

• To see a full list of configured scrape targets, please see the Kube-Prometheus Helm chart’s values.yaml.
• You will need a Kubernetes cluster with NGINX Ingress installed in order to go through this article.
• # Deprecated way to provide custom recording or alerting rules to be deployed into the cluster.
• This is meant to allow adding an authentication proxy to an ThanosRuler pod.
• To learn more about Kubernetes Secrets, please consult Secrets from the Kubernetes docs.
• This project is intended to be used as a library (i.e. the intent is not for you to create your own modified copy of this repository).

Note that your cluster-local Prometheus instance continues to evaluate alerting rules and recording rules. You can optionally migrate these by following Importing Recording and Alerting rules. Here we observe that Alertmanager, Grafana, Prometheus Operator, kube-state-metrics, node-exporter, and Prometheus are all running in our cluster. In addition to these Pods, the stack installed several CRDs, or K8s Custom Resources.

This allows better maintainability and reduces the deployment effort. When using the Prometheus Operator, each component of the architecture comes from a CRD. This makes the Prometheus setup more straightforward than a classical installation. Prometheus records real-time metrics in a time-series database – which brings dimensional data models, operational simplicity, and scalable data collection.

Defaults to ‘alertmanager-‘ The secret is mounted into /etc/alertmanager/config. The Secrets are mounted into /etc/alertmanager/secrets/. # Metadata Labels and Annotations gets propagated to the Alertmanager pods. For more documentation on the project refer to docs/ directory. This project is intended to be used as a library (i.e. the intent is not for you to create your own modified copy of this repository).