1. Using kubernetes monitoring.grafana.com with metallb.io

    TypeScript

    To set up a Kubernetes cluster using Pulumi with monitoring by Grafana and using MetalLB for load balancing, we will break down the task into several steps:

    1. Set up a Kubernetes cluster: Depending on your cloud provider or local setup, you can use Pulumi to provision a Kubernetes cluster. For cloud providers like AWS, Azure, or GCP, Pulumi offers dedicated resources like eks.Cluster, azure-native.containerservice.KubernetesCluster, or gcp.container.Cluster.

    2. Install MetalLB: MetalLB is a load-balancer implementation for bare metal Kubernetes clusters using standard routing protocols. It's typically installed as a set of Kubernetes resources (ConfigMap, DaemonSet, etc.). You will need to apply the MetalLB manifest to your cluster.

    3. Set up Grafana monitoring: Grafana provides a set of resources for monitoring, including grafana.SyntheticMonitoringProbe and grafana.SyntheticMonitoringCheck. To use Grafana with Kubernetes, install the Grafana agent or Grafana Cloud to your cluster to collect and send metrics.

    4. Integrate monitoring: With Grafana installed, you can create Dashboards, set up Alerts, and more, all managed as code with Pulumi.

    Considering the complexity for a novice, I'll guide you through setting up a basic Kubernetes cluster and applying MetalLB configuration. Later, I'll show you how to set up a simple Grafana monitoring setup.

    Let's begin.

    Step 1: Provisioning a Kubernetes Cluster

    import * as k8s from "@pulumi/kubernetes"; // Create a Kubernetes cluster using your preferred cloud provider. // This example does not include cloud-specific cluster provisioning for brevity. // Assuming you have a `kubeconfig` file pointing to your cluster, // Pulumi can use that to deploy resources to your cluster. const provider = new k8s.Provider("provider", { kubeconfig: "<Your kubeconfig here>", }); // Next, you'll want to provision MetalLB and Grafana components.

    Step 2: Installing MetalLB

    import * as k8s from "@pulumi/kubernetes"; // Load the MetalLB manifest from a local file or from a URL. const metallbManifest = new k8s.yaml.ConfigFile("metallb-manifest", { file: "https://raw.githubusercontent.com/metallb/metallb/main/manifests/metallb.yaml", }, { provider }); // At this point, MetalLB would be deployed to your cluster. // Make sure to configure a ConfigMap for MetalLB with the IP range you want to use for the load balancer.

    Step 3: Set Up Grafana Monitoring

    Setting up Grafana monitoring involves setting up Grafana resources that require your Grafana Cloud credentials and specific configurations. I will provide a basic example of how to set up synthetic monitoring. However, please ensure you have your Grafana Cloud details handy.

    import * as grafana from "@pulumi/grafana"; // Replace '<Your stackId>' and '<Your metricsPublisherKey>' with your actual Grafana Cloud credentials. const syntheticMonitoringInstallation = new grafana.SyntheticMonitoringInstallation("smi", { stackId: "<Your stackId>", stackSmApiUrl: "https://grafana.com/api/stacks/<Your stackId>", metricsPublisherKey: "<Your metricsPublisherKey>", // This should be a secret, handle with care. }); // After setting up the installation, you can proceed with creating // synthetic monitoring checks and probes.

    Integrating All Components

    When all the code snippets are combined into one Pulumi program, you get an end-to-end setup for a Kubernetes cluster with MetalLB and basic Grafana monitoring. Remember that real-world use cases may need additional configuration for security, networking, and monitoring specifics.

    Keep in mind that this example gives you a starting point, and you would typically need to configure each component in more detail.

    As you advance, you will discover different resources and customizations suitable for your specific use case, such as setting up dashboards with grafana.Dashboard or customizing MetalLB with a ConfigMap.

    I recommend referring to the official Pulumi Documentation and the corresponding cloud provider's documentation for the specifics of the resources you want to use and customize.


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