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* Managed Grafana Workspace with Identity Centre Users (#83) * update kuberenetes and instance type * initial setup of managed grafana workspace and identity centre identities * cleanup * run precommit * output grafana workspace ID * add identity store id variable * remove API key * update outputs naming convention as per terraform guidelines * update docs and add versions * update variables type * update naming conventions * add managed policy arn for querying promethues * update readme * update workshop references to this * add role arn type * cleanup and simplification * remove workshop --------- Co-authored-by: charlie keegan <chakeega@amazon.com> Co-authored-by: Rodrigue Koffi <bonclay7@users.noreply.github.com> * Rename example * Update grafana example and base module references * Update example's reference * Cleanup and docs ref * Add docs * Update docs * TODO: add link after merge * Update managed-grafana.md --------- Co-authored-by: Charlie Keegan <91210223+charliekeeegan@users.noreply.github.com> Co-authored-by: charlie keegan <chakeega@amazon.com> Co-authored-by: Mark Beacom <7315957+mbeacom@users.noreply.github.com>
191 lines
8.8 KiB
Markdown
191 lines
8.8 KiB
Markdown
# 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
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modules with Infrastructure monitoring enabled.
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The current example deploys the [AWS Distro for OpenTelemetry Operator](https://docs.aws.amazon.com/eks/latest/userguide/opentelemetry.html)
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for Amazon EKS with its requirements and make use of an existing Amazon Managed Grafana workspace.
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It creates a new Amazon Managed Service for Prometheus workspace unless provided with an existing one to reuse.
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It uses the `EKS monitoring` [module](../../modules/eks-monitoring/)
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to provide an existing EKS cluster with an OpenTelemetry collector,
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curated Grafana dashboards, Prometheus alerting and recording rules with multiple
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configuration options on the cluster infrastructure.
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## Prerequisites
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Ensure that you have the following tools installed locally:
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1. [aws cli v2](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html)
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2. [kubectl](https://kubernetes.io/docs/tasks/tools/)
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3. [terraform](https://learn.hashicorp.com/tutorials/terraform/install-cli)
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## Setup
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This example uses a local terraform state. If you need states to be saved remotely,
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on Amazon S3 for example, visit the [terraform remote states](https://www.terraform.io/language/state/remote) documentation
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1. Clone the repo using the command below
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```
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git clone https://github.com/aws-observability/terraform-aws-observability-accelerator.git
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```
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2. Initialize terraform
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```console
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cd examples/existing-cluster-with-base-and-infra
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terraform init
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```
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3. Amazon EKS Cluster
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To run this example, you need to provide your EKS cluster name.
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If you don't have a cluster ready, visit [this example](../eks-cluster-with-vpc)
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first to create a new one.
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Add your cluster name for `eks_cluster_id="..."` to the `terraform.tfvars` or use an environment variable `export TF_VAR_eks_cluster_id=xxx`.
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4. Amazon Managed Grafana workspace
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To run this example you need an Amazon Managed Grafana workspace. If you have
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an existing workspace, create an environment variable
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`export TF_VAR_managed_grafana_workspace_id=g-xxx`.
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To create a new one, visit [this example](../managed-grafana-workspace).
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> In the URL `https://g-xyz.grafana-workspace.eu-central-1.amazonaws.com`, the workspace ID would be `g-xyz`
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5. <a name="apikey"></a> Grafana API Key
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Amazon Managed Service for Grafana provides a control plane API for generating Grafana API keys. We will provide to Terraform
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a short lived API key to run the `apply` or `destroy` command.
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Ensure you have necessary IAM permissions (`CreateWorkspaceApiKey, DeleteWorkspaceApiKey`)
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```sh
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export TF_VAR_grafana_api_key=`aws grafana create-workspace-api-key --key-name "observability-accelerator-$(date +%s)" --key-role ADMIN --seconds-to-live 1200 --workspace-id $TF_VAR_managed_grafana_workspace_id --query key --output text`
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```
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## Deploy
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```sh
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terraform apply -var-file=terraform.tfvars
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```
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or if you had only setup environment variables, run
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```sh
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terraform apply
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```
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## Additional configuration
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For the purpose of the example, we have provided default values for some of the variables.
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1. AWS Region
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Specify the AWS Region where the resources will be deployed. Edit the `terraform.tfvars` file and modify `aws_region="..."`. You can also use environement variables `export TF_VAR_aws_region=xxx`.
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2. Amazon Managed Service for Prometheus workspace
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If you have an existing workspace, add `managed_prometheus_workspace_id=ws-xxx`
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or use an environment variable `export TF_VAR_managed_prometheus_workspace_id=ws-xxx`.
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## Visualization
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1. Prometheus datasource on Grafana
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Make sure to open the link in the output. After a successful deployment, this will open
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the Prometheus datasource configuration on Grafana.
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Click `Save & test` and you should see a notification confirming that the Amazon Managed Service for Prometheus workspace is ready to be used on Grafana.
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```bash
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terraform output grafana_prometheus_datasource_test
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```
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2. Grafana dashboards
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Go to the Dashboards panel of your Grafana workspace. You should see a list of dashboards under the `Observability Accelerator Dashboards`
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<img width="1540" alt="image" src="https://user-images.githubusercontent.com/10175027/190000716-29e16698-7c90-49d6-8c37-79ca1790e2cc.png">
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Open a specific dashboard and you should be able to view its visualization
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<img width="1721" alt="Screenshot 2022-08-30 at 20 01 32" src="https://user-images.githubusercontent.com/10175027/187515925-67864dd1-2b35-4be0-a15e-1e36805e8b29.png">
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2. Amazon Managed Service for Prometheus rules and alerts
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Open the Amazon Managed Service for Prometheus console and view the details of your workspace. Under the `Rules management` tab, you should find new rules deployed.
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<img width="1629" alt="image" src="https://user-images.githubusercontent.com/10175027/189301297-4865e75d-2d71-434f-b5d0-9750b3533632.png">
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To setup your alert receiver, with Amazon SNS, follow [this documentation](https://docs.aws.amazon.com/prometheus/latest/userguide/AMP-alertmanager-receiver.html)
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## Destroy resources
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If you leave this stack running, you will incur charges. To remove all resources
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created by Terraform, [refresh your Grafana API key](#apikey) and run:
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```sh
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terraform destroy -var-file=terraform.tfvars
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```
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<!-- BEGINNING OF PRE-COMMIT-TERRAFORM DOCS HOOK -->
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## Requirements
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| Name | Version |
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|------|---------|
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| <a name="requirement_terraform"></a> [terraform](#requirement\_terraform) | >= 1.1.0 |
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| <a name="requirement_aws"></a> [aws](#requirement\_aws) | >= 4.0.0 |
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| <a name="requirement_grafana"></a> [grafana](#requirement\_grafana) | >= 1.25.0 |
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| <a name="requirement_helm"></a> [helm](#requirement\_helm) | >= 2.4.1 |
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| <a name="requirement_kubectl"></a> [kubectl](#requirement\_kubectl) | >= 1.14 |
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| <a name="requirement_kubernetes"></a> [kubernetes](#requirement\_kubernetes) | >= 2.10 |
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## Providers
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| Name | Version |
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|------|---------|
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| <a name="provider_aws"></a> [aws](#provider\_aws) | >= 4.0.0 |
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## Modules
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| Name | Source | Version |
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|------|--------|---------|
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| <a name="module_aws_observability_accelerator"></a> [aws\_observability\_accelerator](#module\_aws\_observability\_accelerator) | ../../ | n/a |
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| <a name="module_eks_monitoring"></a> [eks\_monitoring](#module\_eks\_monitoring) | ../../modules/eks-monitoring | n/a |
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## Resources
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| Name | Type |
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|------|------|
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| [aws_eks_cluster.this](https://registry.terraform.io/providers/hashicorp/aws/latest/docs/data-sources/eks_cluster) | data source |
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| [aws_eks_cluster_auth.this](https://registry.terraform.io/providers/hashicorp/aws/latest/docs/data-sources/eks_cluster_auth) | data source |
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## Inputs
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| Name | Description | Type | Default | Required |
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|------|-------------|------|---------|:--------:|
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| <a name="input_aws_region"></a> [aws\_region](#input\_aws\_region) | AWS Region | `string` | n/a | yes |
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| <a name="input_eks_cluster_id"></a> [eks\_cluster\_id](#input\_eks\_cluster\_id) | Name of the EKS cluster | `string` | n/a | yes |
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| <a name="input_grafana_api_key"></a> [grafana\_api\_key](#input\_grafana\_api\_key) | API key for authorizing the Grafana provider to make changes to Amazon Managed Grafana | `string` | n/a | yes |
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| <a name="input_managed_grafana_workspace_id"></a> [managed\_grafana\_workspace\_id](#input\_managed\_grafana\_workspace\_id) | Amazon Managed Grafana Workspace ID | `string` | n/a | yes |
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| <a name="input_managed_prometheus_workspace_id"></a> [managed\_prometheus\_workspace\_id](#input\_managed\_prometheus\_workspace\_id) | Amazon Managed Service for Prometheus Workspace ID | `string` | `""` | no |
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## Outputs
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| Name | Description |
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|------|-------------|
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| <a name="output_aws_region"></a> [aws\_region](#output\_aws\_region) | AWS Region |
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| <a name="output_eks_cluster_id"></a> [eks\_cluster\_id](#output\_eks\_cluster\_id) | EKS Cluster Id |
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| <a name="output_eks_cluster_version"></a> [eks\_cluster\_version](#output\_eks\_cluster\_version) | EKS Cluster version |
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| <a name="output_grafana_dashboard_urls"></a> [grafana\_dashboard\_urls](#output\_grafana\_dashboard\_urls) | URLs for dashboards created |
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| <a name="output_grafana_prometheus_datasource_test"></a> [grafana\_prometheus\_datasource\_test](#output\_grafana\_prometheus\_datasource\_test) | Grafana save & test URL for Amazon Managed Prometheus workspace |
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| <a name="output_managed_grafana_workspace_id"></a> [managed\_grafana\_workspace\_id](#output\_managed\_grafana\_workspace\_id) | Amazon Managed Grafana workspace ID |
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| <a name="output_managed_prometheus_workspace_endpoint"></a> [managed\_prometheus\_workspace\_endpoint](#output\_managed\_prometheus\_workspace\_endpoint) | Amazon Managed Prometheus workspace endpoint |
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| <a name="output_managed_prometheus_workspace_id"></a> [managed\_prometheus\_workspace\_id](#output\_managed\_prometheus\_workspace\_id) | Amazon Managed Prometheus workspace ID |
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<!-- END OF PRE-COMMIT-TERRAFORM DOCS HOOK -->
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