Compose EKS monitoring modules (#115)

* Move modules around

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* Merge Java monitoring to EKS

* Update docs

* Merge nginx pattern

* Pre-commit

* Add save and test URL output

* Move EKS dependencies to EKS monitoring module

* update docs

* Update examples and docs

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This commit is contained in:
Rodrigue Koffi
2023-02-20 18:36:08 +01:00
committed by GitHub
parent fe83579997
commit daed34db80
99 changed files with 887 additions and 1477 deletions
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# Existing Cluster with the AWS Observability accelerator base module and Java monitoring
# Monitor Java applications running on Amazon EKS
This example demonstrates how to use the AWS Observability Accelerator Terraform
modules with Java monitoring enabled.
The current example deploys the [AWS Distro for OpenTelemetry Operator](https://docs.aws.amazon.com/eks/latest/userguide/opentelemetry.html) for Amazon EKS with its requirements and make use of existing
Amazon Managed Service for Prometheus and Amazon Managed Grafana workspaces.
modules to monitor EKS infrastructure and Java based workloads.
The current example deploys the [AWS Distro for OpenTelemetry Operator](https://docs.aws.amazon.com/eks/latest/userguide/opentelemetry.html)
for Amazon EKS with its requirements and make use of an existing Amazon Managed Grafana workspace.
It creates a new Amazon Managed Service for Prometheus workspace unless provided with an existing one to reuse.
It is based on the `java module`, one of our [workloads modules](../../modules/workloads/)
Since v2.x releases, it uses the `EKS monitoring` [module](../../modules/eks-monitoring/)
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.
You will gain both visibility on the cluster and Java based applications.
## Prerequisites
@@ -39,11 +40,7 @@ cd examples/existing-cluster-java
terraform init
```
3. AWS Region
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`.
4. Amazon EKS Cluster
3. Amazon 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](../eks-cluster-with-vpc)
@@ -51,18 +48,15 @@ first to create a new one.
Add your cluster name for `eks_cluster_id="..."` to the `terraform.tfvars` or use an environment variable `export TF_VAR_eks_cluster_id=xxx`.
5. Amazon Managed Service for Prometheus workspace (optional)
4. Amazon Managed Grafana 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`.
To run this example you need an Amazon Managed Grafana workspace. If you have an existing workspace, create an environment variable `export TF_VAR_managed_grafana_workspace_id=g-xxx`.
To create a new one, visit our Amazon Managed Grafana [documentation](https://docs.aws.amazon.com/grafana/latest/userguide/getting-started-with-AMG.html).
Make sure to provide the workspace with Amazon Managed Service for Prometheus read permissions.
If you don't specify anything a new workspace will be created for you.
> In the URL `https://g-xyz.grafana-workspace.eu-central-1.amazonaws.com`, the workspace ID would be `g-xyz`
6. Amazon Managed Grafana workspace
If you have an existing workspace, create an environment variable `export TF_VAR_managed_grafana_workspace_id=g-xxx`.
7. <a name="apikey"></a> Grafana API Key
5. <a name="apikey"></a> Grafana API Key
Amazon Managed Service for Grafana provides a control plane API for generating Grafana API keys. We will provide to Terraform
a short lived API key to run the `apply` or `destroy` command.
@@ -84,11 +78,31 @@ or if you had only setup environment variables, run
terraform apply
```
## Additional configuration
For the purpose of the example, we have provided default values for some of the variables.
1. AWS Region
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`.
2. 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`.
## Visualization
1. Prometheus datasource on Grafana
Open your Grafana workspace and under Configuration -> Data sources, you will see `aws-observability-accelerator`. Open and click `Save & test`. You will then see a notification confirming that the Amazon Managed Service for Prometheus workspace is ready to be used on Grafana.
Make sure to open the link in the output. After a successful deployment, this will open
the Prometheus datasource configuration on Grafana.
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.
```bash
terraform output grafana_prometheus_datasource_test
```
2. Grafana dashboards
@@ -109,7 +123,7 @@ Open the Amazon Managed Service for Prometheus console and view the details of y
To setup your alert receiver, with Amazon SNS, follow [this documentation](https://docs.aws.amazon.com/prometheus/latest/userguide/AMP-alertmanager-receiver.html)
## Deploy an Example Java Application
## Deploy an example Java application
In this section we will reuse an example from the AWS OpenTelemetry collector [repository](https://github.com/aws-observability/aws-otel-collector/blob/main/docs/developers/container-insights-eks-jmx.md). For convenience, the steps can be found below.
@@ -160,18 +174,6 @@ tomcat-example-7958666589-2q755 0/1 ContainerCreating 0 11s
tomcat-traffic-generator 1/1 Running 0 11s
```
## Advanced configuration
1. Cross-region Amazon Managed Prometheus workspace
If your existing Amazon Managed Prometheus workspace is in another AWS Region,
add this `managed_prometheus_region=xxx` and `managed_prometheus_workspace_id=ws-xxx`.
2. Cross-region Amazon Managed Grafana workspace
If your existing Amazon Managed Prometheus workspace is in another AWS Region,
add this `managed_prometheus_region=xxx` and `managed_prometheus_workspace_id=ws-xxx`.
## Destroy resources
If you leave this stack running, you will continue to incur charges. To remove all resources
@@ -204,8 +206,8 @@ terraform destroy -var-file=terraform.tfvars
| Name | Source | Version |
|------|--------|---------|
| <a name="module_eks_observability_accelerator"></a> [eks\_observability\_accelerator](#module\_eks\_observability\_accelerator) | ../../ | n/a |
| <a name="module_workloads_java"></a> [workloads\_java](#module\_workloads\_java) | ../../modules/workloads/java | n/a |
| <a name="module_aws_observability_accelerator"></a> [aws\_observability\_accelerator](#module\_aws\_observability\_accelerator) | ../../ | n/a |
| <a name="module_eks_monitoring"></a> [eks\_monitoring](#module\_eks\_monitoring) | ../../modules/eks-monitoring | n/a |
## Resources
@@ -220,8 +222,8 @@ terraform destroy -var-file=terraform.tfvars
|------|-------------|------|---------|:--------:|
| <a name="input_aws_region"></a> [aws\_region](#input\_aws\_region) | AWS Region | `string` | n/a | yes |
| <a name="input_eks_cluster_id"></a> [eks\_cluster\_id](#input\_eks\_cluster\_id) | Name of the EKS cluster | `string` | n/a | yes |
| <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` | `""` | no |
| <a name="input_managed_grafana_workspace_id"></a> [managed\_grafana\_workspace\_id](#input\_managed\_grafana\_workspace\_id) | Amazon Managed Grafana Workspace ID | `string` | `""` | no |
| <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 |
| <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 |
| <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 |
## Outputs
@@ -232,6 +234,7 @@ terraform destroy -var-file=terraform.tfvars
| <a name="output_eks_cluster_id"></a> [eks\_cluster\_id](#output\_eks\_cluster\_id) | EKS Cluster Id |
| <a name="output_eks_cluster_version"></a> [eks\_cluster\_version](#output\_eks\_cluster\_version) | EKS Cluster version |
| <a name="output_grafana_dashboard_urls"></a> [grafana\_dashboard\_urls](#output\_grafana\_dashboard\_urls) | URLs for dashboards created |
| <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 |
| <a name="output_managed_prometheus_workspace_endpoint"></a> [managed\_prometheus\_workspace\_endpoint](#output\_managed\_prometheus\_workspace\_endpoint) | Amazon Managed Prometheus workspace endpoint |
| <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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