terraform-aws-observability-accelerator/examples/existing-cluster-with-base-and-infra

Existing Cluster with the AWS Observability accelerator base module and Infrastructure monitoring

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This example demonstrates how to use the AWS Observability Accelerator Terraform module with Infrastructure monitoring enabled. The current example deploys the AWS Distro for OpenTelemetry Operator for Amazon EKS with its requirements and make use of existing Managed Service for Prometheus and Amazon Managed Grafana workspaces.

It is based on the infrastructure monitoring, one of our workloads modules to provide an existing EKS cluster with an OpenTelemetry collector, curated Grafana dashboards, Prometheus alerting and recording rules with multiple configuration options on the cluster infrastructure.

Prerequisites

Ensure that you have the following tools installed locally:

1. aws cli
2. kubectl
3. terraform

Setup

This example uses a local terraform state. If you need states to be saved remotely, on Amazon S3 for example, visit the terraform remote states documentation

1. Initialize terraform

terraform init

2. EKS Cluster

To run this example, you need to provide your EKS cluster name. If you don't have a cluster ready, visit this example first to create a new one.

Add eks_cluster_id=xxx to your terraform.tfvars or use an environment variable export TF_VAR_eks_cluster_id=xxx.

3. Amazon Managed Service for Prometheus workspace

If you have an existing workspace, add managed_prometheus_workspace_id=ws-xxx or use an environment variable export TF_VAR_managed_prometheus_workspace_id=ws-xxx.

If you don't specify anything a new workspace will be created for you.

4. Amazon Managed Grafana workspace

If you have an existing workspace, add managed_grafana_workspace_id=g-xxx or use an environment variable export TF_VAR_managed_grafana_workspace_id=g-xxx.

If you don't specify anything a new workspace will be created for you.

5. Grafana API Key

• Give admin access to the SSO user you set up when creating the Amazon Managed Grafana Workspace:
• In the AWS Console, navigate to Amazon Grafana. In the left navigation bar, click All workspaces, then click on the workspace name you are using for this example.
• Under Authentication within AWS Single Sign-On (SSO), click Configure users and user groups
• Check the box next to the SSO user you created and click Make admin
• From the workspace in the AWS console, click on the Grafana workspace URL to open the workspace
• If you don't see the gear icon in the left navigation bar, log out and log back in.
• Click on the gear icon, then click on the API keys tab.
• Click Add API key, fill in the Key name field and select Admin as the Role.
• Copy your API key into terraform.tfvars under the grafana_api_key variable (grafana_api_key="xxx") or set as an environment variable on your CLI (export TF_VAR_grafana_api_key="xxx")

Deploy

terraform apply -var-file=terraform.tfvars

or if you had setup environment variables

terraform apply

Advanced configuration

1. Cross-region Managed Prometheus workspace

If your existing Managed Prometheus workspace is in another AWS Region, add this managed_prometheus_region=xxx and managed_prometheus_workspace_id=ws-xxx.

2. Cross-region Managed Grafana workspace

If your existing Managed Prometheus workspace is in another AWS Region, add this managed_prometheus_region=xxx and managed_prometheus_workspace_id=ws-xxx.

Requirements

Name	Version
grafana	1.25.0

Providers

Name	Version
aws	n/a

Modules

Name	Source	Version
eks_observability_accelerator	../../	n/a
workloads_infra	../../modules/workloads/infra	n/a

Resources

Name	Type
aws_eks_cluster.this	data source
aws_eks_cluster_auth.this	data source

Inputs

Name	Description	Type	Default	Required
aws_region	AWS Region	string	n/a	yes
eks_cluster_id	EKS Cluster Id	string	n/a	yes
grafana_api_key	API key for authorizing the Grafana provider to make changes to Amazon Managed Grafana	string	""	no
grafana_endpoint	Grafana endpoint	string	null	no
managed_grafana_workspace_id	n/a	string	""	no
managed_prometheus_endpoint	n/a	string	""	no
managed_prometheus_region	n/a	string	""	no
managed_prometheus_workspace_id	n/a	string	""	no

Outputs

Name	Description
aws_region	AWS Region
eks_cluster_id	EKS Cluster Id
eks_cluster_version	n/a
prometheus_endpoint	n/a
prometheus_id	n/a