Enable Datadog integration and update module references in manifests #275
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WalkthroughThis pull request introduces several changes across multiple files related to the Kubernetes Datadog Operator module. Key modifications include updates to the Changes
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (6)
regional/datadog/main.tf (1)
9-9: Consider making cluster_prefix configurableThe cluster prefix is hardcoded to "plt". Consider making this configurable through a variable to support different environments or naming conventions.
- cluster_prefix = "plt" + cluster_prefix = var.cluster_prefixregional/datadog/manifests/main.tf (1)
9-11: Consider parameterizing environment-specific valuesThe following hardcoded values might need to be parameterized for better flexibility across different environments:
cluster_prefix = "plt"registry = "us-docker.pkg.dev/plt-lz-services-tf79-prod/plt-docker-virtual"Consider using variables for these values:
- cluster_prefix = "plt" - registry = "us-docker.pkg.dev/plt-lz-services-tf79-prod/plt-docker-virtual" + cluster_prefix = var.cluster_prefix + registry = var.container_registryregional/datadog/manifests/data.tf (2)
Line range hint
18-20: Consider parameterizing the project prefixWhile the filter works, the hardcoded prefix
plt-k8s-*could make the code less maintainable. Consider:
- Moving the prefix to a variable
- Adding validation for the environment label existence
+variable "project_prefix" { + description = "Prefix used for GCP project names" + type = string + default = "plt-k8s-" +} data "google_projects" "this" { - filter = "name:plt-k8s-* labels.env:${module.helpers.environment}" + filter = "name:${var.project_prefix}* labels.env:${module.helpers.environment}" }
Line range hint
25-27: Add error handling for project lookupThe current implementation assumes that at least one project will always be found. This could lead to runtime errors if no projects match the filter criteria.
Consider adding validation:
data "google_project" "this" { + count = length(data.google_projects.this.projects) > 0 ? 1 : 0 project_id = data.google_projects.this.projects.0.project_id } +locals { + project_id = try( + data.google_project.this[0].project_id, + fail("No matching GCP projects found with prefix '${var.project_prefix}' and environment '${module.helpers.environment}'") + ) +}regional/datadog/README.md (1)
Line range hint
1-50: Consider security and operational aspects of Datadog integrationA few architectural considerations for this integration:
- Ensure Datadog API/APP keys are managed securely (e.g., using secret management solutions)
- Consider implementing proper RBAC policies for the Datadog Operator in GKE
- Plan for monitoring coverage across all regions where this module will be deployed
- Consider setting up alerts and dashboards as code alongside this integration
regional/datadog/manifests/README.md (1)
Line range hint
31-35: Ensure secure handling of Datadog credentials.The Datadog API and APP keys are sensitive values. Please ensure that:
- These keys are stored securely (e.g., using secret management solutions)
- The values are marked as sensitive in the variable definitions
Consider adding the following to your variable definitions in the corresponding .tf files:
variable "datadog_api_key" { description = "Datadog API key" type = string sensitive = true } variable "datadog_app_key" { description = "Datadog APP key" type = string sensitive = true }
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📒 Files selected for processing (7)
.pre-commit-config.yaml(1 hunks)regional/datadog/README.md(1 hunks)regional/datadog/main.tf(1 hunks)regional/datadog/manifests/README.md(1 hunks)regional/datadog/manifests/data.tf(1 hunks)regional/datadog/manifests/main.tf(1 hunks)tfvars/sandbox.tfvars(1 hunks)
🔇 Additional comments (13)
tfvars/sandbox.tfvars (2)
1-1: Verify Datadog security configurations
Enabling Datadog requires proper security configurations to ensure secure data collection and transmission.
#!/bin/bash
# Description: Verify Datadog security configurations
# Check for Datadog security-related configurations
rg -A 5 "security|rbac|role|clusterrole|secret" regional/datadog/
# Check for Datadog API key handling
ast-grep --pattern 'apiKey|api_key|appKey|app_key'
# Look for network policies
rg -A 5 "NetworkPolicy" regional/datadog/manifests/Ensure the following security measures are in place:
- RBAC configurations for Datadog service accounts
- Network policies to control Datadog agent communications
- Secure handling of Datadog API and app keys
1-1: Verify Datadog costs against monthly budget constraints
The sandbox environment has a monthly budget of $25 (line 11). Please ensure that enabling Datadog monitoring won't exceed this budget constraint.
Consider implementing resource quotas and limits for Datadog agents to control costs.
✅ Verification successful
Enabling Datadog in sandbox environment appears safe within budget constraints
Based on the verification results:
- The Datadog operator module sets default resource limits and requests for agents
- The node agent has configurable CPU and memory limits to control resource usage
- The sandbox environment has a monthly budget of $25, which should accommodate basic Datadog monitoring given the resource constraints in place
- The implementation uses the official Datadog operator with standard configurations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Search for Datadog cost configurations and resource limits
# Look for Datadog resource configurations
rg -A 5 "resources|limits" regional/datadog/
# Look for any Datadog cost-related configurations
rg -A 5 "cost|budget|billing" regional/datadog/
Length of output: 172
Script:
#!/bin/bash
# Let's try a broader search to find Datadog-related configurations
# Search for any Datadog-related terraform files
fd -e tf -e tfvars . | xargs rg -l "datadog"
# Search for resource configurations in terraform files
rg -A 5 "resource\s+\"datadog"
# Look for variables related to Datadog
rg "variable\s+\"datadog" -A 5
# Search for any cost or budget related configurations
rg "budget|cost|pricing" -A 5
Length of output: 4701
Script:
#!/bin/bash
# Let's check for Datadog agent configurations and resource limits
# Look for Datadog agent configurations
rg -A 10 "agent:|cluster_agent:|resources:" regional/datadog/manifests/
# Check main Datadog configuration
cat regional/datadog/manifests/main.tf
# Look for any helm values or configurations
fd . -e yaml -e yml | xargs rg -l "datadog"
Length of output: 696
Script:
#!/bin/bash
# Let's check the Datadog operator module referenced and the entity configuration
# Check the entity configuration
cat entity.datadog.yaml
# Try to find any default values or configurations in the module
curl -s https://raw.githubusercontent.com/osinfra-io/terraform-kubernetes-datadog-operator/v0.1.4/regional/manifests/main.tf
# Look for any resource quotas or limits in kubernetes configurations
fd . -e yaml -e yml | xargs rg "resources:|limits:|requests:"
Length of output: 11844
regional/datadog/main.tf (2)
7-8: Ensure secure handling of Datadog credentials
The Datadog API and App keys are sensitive credentials. Verify that:
- The variables are marked as sensitive in the variables definition
- The keys are stored securely (e.g., in a secret manager)
#!/bin/bash
# Description: Check variable definitions and potential credential exposure
# Check if variables are marked as sensitive
rg -A 5 "variable \"datadog_(api|app)_key\""
# Look for potential hardcoded credentials
rg -g '!.git' -i "datadog.*key.*=.*[a-z0-9]{32}"4-5: Verify the module version upgrade changes
The module version has been updated to v0.1.4. Let's verify the changelog for any breaking changes.
regional/datadog/manifests/main.tf (3)
7-8: LGTM! Secure handling of sensitive parameters
Good practice using variables for sensitive Datadog API and APP keys instead of hardcoding them.
4-12: LGTM! Complete Datadog Operator configuration
The module configuration includes all necessary parameters for enabling the Datadog integration, which aligns with the PR objectives.
4-5: Verify the module version and check for breaking changes
The module version has been updated from v0.1.3 to v0.1.4. Let's verify this version.
regional/datadog/manifests/data.tf (2)
Line range hint 3-5: LGTM: Correctly configured google_client_config data source
The empty configuration block is appropriate for this data source as it retrieves the default client configuration.
Line range hint 9-13: Verify cluster naming convention and existence
The cluster name format plt-${module.helpers.region}-${module.helpers.zone} makes assumptions about the naming convention. Please verify:
- That this naming pattern matches your GKE cluster naming standards
- That the cluster exists in the specified region
✅ Verification successful
Cluster naming convention is consistent and verified
The naming convention plt-${region}-${zone} is consistently used across the infrastructure:
- It matches the cluster prefix "plt" defined in multiple modules (cert-manager, istio, datadog)
- The same pattern is used for subnet naming and cluster references
- The naming is part of a broader platform (plt) infrastructure pattern, as evidenced by artifact registry and project naming
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the GKE cluster naming convention across the infrastructure
# Search for GKE cluster definitions in Terraform files
rg -t tf "google_container_cluster|google_container_cluster" -A 5
# Search for any documentation about cluster naming conventions
fd -t f "README.md" -X grep -l "cluster.*naming"
Length of output: 1296
Script:
#!/bin/bash
# Let's search for more context about the cluster naming pattern and configuration
# Search for any plt- prefix usage in terraform files
rg -t tf "plt-" -B 2 -A 2
# Search for any variables or locals that might define cluster naming
rg -t tf "cluster.*name.*=|name.*cluster.*=" -B 2 -A 2
# Search for any helper module references that might contain naming conventions
fd -t tf . -X grep -l "module.helpers"
Length of output: 2845
.pre-commit-config.yaml (1)
42-42: Verify the necessity of skipping the version pinning check
The addition of CKV_TF_2 to the skip list disables Checkov's version pinning verification. While this might be needed for the Datadog integration, skipping version checks could lead to infrastructure instability if module versions unexpectedly change.
Consider the following recommendations:
- Document the rationale for skipping CKV_TF_2 in a comment
- If possible, implement version pinning and remove this exemption to ensure infrastructure stability
- If the exemption is necessary, consider adding it selectively only for specific modules rather than globally
Run this script to analyze version pinning patterns in Terraform files:
regional/datadog/README.md (1)
19-19: LGTM! Module addition with proper version pinning.
The addition of the Kubernetes Datadog Operator module with a pinned version is a good practice for infrastructure stability.
Let's verify the module source and version:
✅ Verification successful
Module source and version verified successfully
The repository osinfra-io/terraform-kubernetes-datadog-operator exists and the tag v0.1.4 is available, confirming the module source is valid and accessible.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the module source repository and version tag existence
# Check if the repository exists and is accessible
gh repo view osinfra-io/terraform-kubernetes-datadog-operator
# Verify the version tag exists
gh api \
-H "Accept: application/vnd.github+json" \
repos/osinfra-io/terraform-kubernetes-datadog-operator/git/refs/tags/v0.1.4
Length of output: 5530
regional/datadog/manifests/README.md (2)
19-19: Verify Datadog operator module version.
The Kubernetes Datadog operator module is pinned to version v0.1.4. Let's verify if this is the latest stable version.
#!/bin/bash
# Description: Check latest version of the Datadog operator module
# Get latest release tag
gh api repos/osinfra-io/terraform-kubernetes-datadog-operator/releases/latest --jq .tag_name
# Check for any breaking changes in recent releases
gh api repos/osinfra-io/terraform-kubernetes-datadog-operator/releases --jq '.[0:3] | .[] | {tag_name, body}'23-28: Verify data source dependencies and permissions.
The added data sources look good and are well-documented. However, let's verify that all necessary IAM permissions are in place for these data sources to function correctly.
#!/bin/bash
# Description: Check for IAM-related configurations in the codebase
# Search for IAM role definitions or bindings related to these data sources
rg -A 5 "google_(client_config|container_cluster|project|projects)"
# Look for any existing IAM configurations
fd -t f "iam" -x cat {} \;
Summary by CodeRabbit
New Features
Bug Fixes
Documentation