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Deploy Prometheus + Grafana on Kubernetes: Namespace Isolated Stack

Tags:
PrometheusGrafanaKubernetesKubekanvasmonitoring
Created by:
Siddiqui
Deploy Prometheus + Grafana on Kubernetes: Namespace Isolated Stack template preview
0 uses
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Managing cluster-wide monitoring requires extensive administrative permissions that introduce security risks in multi-tenant environments. Engineers deploy Prometheus on Kubernetes within a single namespace to isolate metric collection and lock down RBAC access rules. This namespace isolated Prometheus stack establishes a secure, localized monitoring loop using a lightweight Prometheus Kubernetes template.

What's Included

ComponentTypePortRole
Prometheus ServerDeployment & Service9090Pulls, stores, and exposes PromQL metrics
GrafanaDeployment & Service3000Provides visual dashboards and identity management
AlertmanagerDeployment & Service9093Deduplicates and routes triggered alert definitions
Node ExporterDaemonSet & Service9100Collects underlying host hardware operating metrics
Kube-State-MetricsDeployment & Service8080Generates localized metrics about object states
Grafana IngressIngress80Routes external HTTP requests to the Grafana service
Prometheus Local RoleRole & RoleBindingNoneRestricts service account operations to the local namespace

Architecture Overview

The architecture confines all data flow within a single namespace. The Prometheus data retrieval worker pulls metrics from Node Exporter, Kube-State-Metrics, and local pods. Scraped data populates an internal time series database. An NGINX Ingress routes external client traffic strictly to the Grafana pod. Grafana queries the local Prometheus server internally via Kubernetes DNS services. Localized Role and RoleBinding objects enforce strict namespace isolation boundaries.

Prerequisites

  • Configure an active target namespace on your Kubernetes cluster.
  • Install an NGINX Ingress Controller to manage external routing rules.
  • Map your local hosts file to resolve the target domain name on your computer.
  • KubeKanvas CLI installed and running on your computer (Optional, if you want to use one-click deployment)

How to Deploy

  1. Download the complete stack configuration package.
  2. Configure your custom environmental variables inside the provided manifest files.
  3. Deploy the template to your cluster via the Play button in the top right bar. If you prefer to deploy manually, download the YAML and apply it with kubectl.
  4. Wait for all pods to reach Running status. You can monitor progress in the Release Monitor screen.

How to Test

  1. Open your local web browser and navigate to the configured Grafana ingress address.
  2. Log in using the default admin credentials to confirm frontend functionality.
  3. Execute a PromQL query inside the Grafana Explore interface to verify that metrics propagate from the local database.

Use Cases

  • Multi-Tenant Clusters: Development teams require standalone monitoring inside their dedicated namespaces without cluster-wide RBAC visibility.
  • Local Prototyping: Engineers test scraping rules and query metrics inside Docker Desktop using temporary disk allocations.
  • Strict Compliance Environments: Security policies forbid the creation of ClusterRoles or ClusterRoleBindings for application monitoring tools.

Summary

This template configures a localized monitoring stack consisting of Prometheus, Grafana, Alertmanager, and resource exporters bound within a namespace sandbox. The deployment enforces strict security parameters by utilizing namespaced RBAC configurations and restricted ingress rules.