GCP Recommendations

Recommendations help kickstart your journey with governance. Essentially, Harness runs certain policies behind the scenes to generate recommendations for your governance-enabled GCP projects. These policies not only help to cut costs but also increase the efficiency of your system. On the Governance Overview page, Harness showcases recommendations that will benefit you to save costs on associated resources. You can click on any recommendation to view its details.

Governance Recommendation Health

Harness CCM now provides users the ability to monitor Governance Recommendations through the new Optimization tab in the Governance module.

This enhancement offers clear visibility into the evaluation status of each rule and provides detailed insights about the cloud account (connector) and region involved in generating the recommendations.

This tab is designed to streamline troubleshooting and improve visibility into why recommendations may fail, be ignored, or succeed, enabling users to take immediate corrective actions when necessary.

How It Works:

Status Tracking: Each Recommendation Rule's status is displayed in the Optimization tab.
Cloud Connector (Project ID): The specific cloud account associated with the rule.
Region: The region for which the rule is evaluated.

Error Notifications:

If any connector and region combination encounters an issue, the system flags it with a Failed status. The UI displays a detailed error message to assist in resolving the issue quickly.

Status Breakdown:

Failed Status : A failed status indicates one of the following scenarios:

Missing Permissions: The necessary permissions required for Harness to get or list resources are not provided.
Harness Internal Error: A system-level issue occurred during processing.

Ignored Status : An ignored status indicates one of the following scenarios:

No Cost Data Available: Billing connector setup at Harness is missing cost data for the target cloud account.
Cost Threshold Not Met: Cost is less than $300 for the GCP project.
Invalid Region: The regions found in cost data is not valid to run against Governance Rule.

Success Status : A successful status indicates one of the following scenarios:

Recommendation Generated: The system successfully evaluated the rule and created a recommendation.
No Resources in Evaluation: The rule was evaluated, but there were no resources found.
Savings Below Threshold: A recommendation was generated, but the potential savings were calculated to be less than $10.

Recommendations

Listed below are the custodian policies which are used to generate recommendations that Harness offers for GCP. Along with each policy, you can also find their respective descriptions, the logic behind savings computation and the permissions required to generate or apply these recommendations.

Recommendation: delete-gcp-idle-compute-images

Description: Delete GCP recommended idle images

Policy Used:

policies:
  - name: delete-gcp-idle-compute-images
    description: |
      Delete GCP images which are not used to create a disk for at least 15 days and not used in any instance template. 
      These idle images are fetched from GCP recommender.
    resource: gcp.image
    filters:
      - type: recommend
        id: google.compute.image.IdleResourceRecommender
    actions:
      - type: delete

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run: recommender.computeImageIdleResourceRecommendations.list
Run Once:
- recommender.computeImageIdleResourceRecommendations.list
- compute.images.delete

Recommendation: delete-gcp-never-attached-disks

Description: Delete GCP recommended idle persistent disks which were never attached to a VM and is blank

Policy Used:

policies:
  - name: delete-gcp-never-attached-disks
    description: |
      Delete GCP disks which are created at least 15 days ago and never attached to a VM and is blank. 
      These idle disks are fetched from GCP recommender.
    resource: gcp.disk
    filters:
      - type: recommend
        id: google.compute.disk.IdleResourceRecommender
      - type: value
        key: lastAttachTimestamp
        value:
        op: eq
    actions:
      - type: delete

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run: recommender.computeDiskIdleResourceRecommendations.list
Run Once:
- recommender.computeDiskIdleResourceRecommendations.list
- compute.disks.delete

Recommendation: gcp-stop-forever-running-instance

Description: Stop the gcp instances that have an uptime greater than 30 days.

Policy Used:

policies:
  - name: gcp-stop-forever-running-instance
    description: |
      Stop the gcp instances that have an uptime greater than 30 days.
    resource: gcp.instance
    filters:
      - type: metrics
        name: compute.googleapis.com/instance/uptime_total
        aligner: ALIGN_NONE
        value: 2592000
        op: greater-than
      - type: value
        key: status
        value: "RUNNING"
        op: eq
    actions:
      - type: stop

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- compute.instances.list
- monitoring.timeSeries.list
Run Once:
- compute.instances.list
- monitoring.timeSeries.list
- compute.instances.stop

Recommendation: gcp-delete-old-snapshot

Description: Delete gcp snapshots older than 14 days.

Policy Used:

policies:
  - name:  gcp-delete-old-snapshot
    resource: gcp.snapshot
    description: |
      Delete gcp snapshots older than 14 days.
    filters:
      - type: value
        key: creationTimestamp
        op: greater-than
        value_type: age
        value: 14
    actions:
      type: delete

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- compute.snapshots.list
Run Once:
- compute.snapshots.list
- compute.snapshots.delete

Recommendation: stop-underutilized-instances

Description: Stop underutilised instances with average CPU utilisation less than 5% in last 3 days.

Policy Used:

policies:
  - name: stop-underutilized-instances
    resource: gcp.instance
    description: Stop underutilised instances with average CPU utilisation less than 5% in last 3 days
    filters:
      - type: metrics
        name: compute.googleapis.com/instance/cpu/utilization
        aligner: ALIGN_MEAN
        days: 3
        value: 5
        op: less-than
      - type: value
        key: status
        value: "RUNNING"
        op: eq
    actions:
      - type: stop

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- compute.instances.list
- monitoring.timeSeries.list
Run Once:
- compute.instances.list
- monitoring.timeSeries.list
- compute.instances.stop

Recommendation: stop-underutilized-sql-instances

Description: Stop underutilised sql instances with average CPU utilisation less than 5% in last 3 days

Policy Used:

policies:
  - name: stop-underutilized-sql-instances
    resource: gcp.sql-instance
    description: |
      Stop underutilised sql instances with average CPU utilisation less than 5% in last 3 days
    filters:
      - type: metrics
        name: cloudsql.googleapis.com/database/cpu/utilization
        aligner: ALIGN_MEAN
        days: 3
        value: 5
        op: less-than
    actions:
      - type: stop

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- cloudsql.instances.list
- monitoring.timeSeries.list
Run Once:
- cloudsql.instances.list
- monitoring.timeSeries.list
- cloudsql.instances.update

Recommendation: snapshot-and-delete-gcp-unattached-disk

Description: Snapshot and delete GCP recommended idle persistent disks which are unattached

Policy Used:

policies:
  - name: snapshot-and-delete-gcp-unattached-disk
    description: |
      Snapshot and delete GCP disks which are detached for at least 15 days.
      These idle disks are fetched from GCP recommender.
    resource: gcp.disk
    filters:
      - type: recommend
        id: google.compute.disk.IdleResourceRecommender
      - type: value
        key: lastAttachTimestamp
        value: 
        op: ne
    actions:
      - type: snapshot
        name_format: "{disk[name]:.50}-{now:%Y-%m-%d}"
      - type: delete
      

Savings Computed: Savings are considered as 35% of the total cost. Implementing this recommendation would result in 35% to 92% reduction in the maintenance cost of that disk. Thus, we have considered the minimum savings achievable, which is 35%. Ref: https://cloud.google.com/compute/docs/viewing-and-applying-idle-resources-recommendations

Permissions Required:

Dry Run:
- recommender.computeDiskIdleResourceRecommendations.list
Run Once:
- recommender.computeDiskIdleResourceRecommendations.list
- compute.disks.delete

Recommendation: gcp-idle-gke-clusters

Description: List GCP Idle GKE Clusters Recommendations

Policy Used:

policies:
  - name: gcp-idle-gke-clusters
    description: |
      List GCP Idle GKE Clusters Recommendations
    resource: gcp.gke-cluster
    filters:
      - type: recommend
        id: google.container.DiagnosisRecommender
    actions:
      - type: delete

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up the cost of each resource for the last 30 days.

Permissions Required:

Dry Run:
- recommender.containerDiagnosisInsights.list
- container.clusters.list
Run Once:
- recommender.containerDiagnosisInsights.list
- container.clusters.list
- container.clusters.delete

Recommendation: gcp-cloud-run-cpu-allocation

Description:

Policy Used:

policies:
  - name: gcp-cloud-run-cpu-allocation
    resource: gcp.cloud-run-service
    description: |
      List Cloud Run CPU Allocation Recommendations
    filters:
      - type: recommend
        id: google.run.service.CostRecommender      

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up the cost of each resource for the last 30 days.

Permissions Required:

Dry Run:
- recommender.runServiceCostRecommendations.list
- run.services.list
Run Once:
- recommender.runServiceCostRecommendations.list
- run.services.list

Recommendation: gcp-list-unused-bq-datasets

Description: List BigQuery datasets that haven't been accessed in the last 7 days.

Policy Used:

policies:
  - name: gcp-list-unused-bq-datasets
    resource: gcp.bq-dataset
    description: |
      List BigQuery datasets that haven't been accessed in the last 7 days.
    filters:
      - type: value
        key: lastModifiedTime
        op: less-than
        value_type: age
        value: 7

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for the last 30 days.

Permissions Required:

Dry Run:
- bigquery.datasets.get
Run Once:
- bigquery.datasets.get

Recommendation: gcp-delete-unused-cloud-functions

Description: Delete Cloud Functions that haven't been invoked in the last 7 days to reduce costs.

Policy Used:

policies:
  - name: gcp-delete-unused-cloud-functions
    resource: gcp.function
    description: >
      Delete Cloud Functions that haven't been invoked in the last 7 days to
      reduce costs.
    filters:
      - type: metrics
        name: cloudfunctions.googleapis.com/function/execution_count
        metric-key: resource.labels.function_name
        days: 7
        value: 0
        op: eq
    actions:
      - type: delete

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- monitoring.timeSeries.list
- cloudfunctions.functions.list
Run Once:
- monitoring.timeSeries.list
- cloudfunctions.functions.list
- cloudfunctions.functions.delete

Recommendation: gcp-list-low-utilized-bucket

Description: List low utilized gcp buckets in last 7 days.

Policy Used:

policies:
  - name: gcp-list-low-utilized-bucket
    description: |
      List low utilized gcp buckets in last 7 days.
    resource: gcp.bucket
    filters:
      - type: metrics
        name: storage.googleapis.com/network/sent_bytes_count
        aligner: ALIGN_COUNT
        days: 7
        value: 1024
        op: less-than
        missing-value: 0
      - type: metrics
        name: storage.googleapis.com/network/received_bytes_count
        aligner: ALIGN_COUNT
        days: 7
        value: 1024
        op: less-than
        missing-value: 0   

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up the cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- monitoring.timeSeries.list
- storage.buckets.list
Run Once:
- monitoring.timeSeries.list
- storage.buckets.list

Recommendation: gcp-list-hanged-dataflow-jobs

Description: List Dataflow jobs that have been in an hanged state for more than 1 day.

Policy Used:

policies:
  - name: gcp-list-hanged-dataflow-jobs
    resource: gcp.dataflow-job
    description: List Dataflow jobs that have been in an hanged state for more than 1 day.
    filters:
      - type: value
        key: startTime
        op: greater-than
        value_type: age
        value: 1
      - type: value
        key: currentState
        value:
          - JOB_STATE_RUNNING
          - JOB_STATE_DRAINING
          - JOB_STATE_CANCELLING
      

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for last 30 days.

Permissions Required:

Dry Run:
- dataflow.jobs.list
Run Once:
- dataflow.jobs.list

Recommendation: gcp-delete-low-utilized-load-balancers

Description: Delete all load balancers with low utilizations, where packet count is less than 1000 in the last 72 hours.

Policy Used:

policies:
  - name: gcp-delete-low-utilized-load-balancers
    resource: gcp.loadbalancer-address
    description: >
      Delete all low utilized load balancers where packet count is less than
      1000 in last 72 hours
    filters:
      - type: metrics
        name: compute.googleapis.com/instance/network/received_packets_count
        metric-key: metric.labels.instance_name
        aligner: ALIGN_COUNT
        days: 3
        value: 1000
        op: le
    actions:
      - type: delete
      

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up the cost of each resource for the last 30 days.

Permissions Required:

Dry Run:
- monitoring.timeSeries.list
- compute.addresses.list
Run Once:
- monitoring.timeSeries.list
- compute.addresses.list
- compute.addresses.delete

Recommendation: gcp-list-unused-redis-instances

Description: List Redis instances with less than 5% CPU utilization over the last 7 days.

Policy Used:

policies:
  - name: gcp-list-unused-redis-instances
    resource: gcp.redis
    description: List Redis instances with less than 5% CPU utilization in last 7 days
    filters:
      - type: metrics
        name: redis.googleapis.com/stats/cpu_utilization
        metric-key: resource.labels.instance_id
        days: 7
        value: 0.05
        op: lte
      

Savings Computed: The policy identifies a list of resources on which potential savings are calculated by summing up cost of each resource for the last 30 days.

Permissions Required:

Dry Run:
- monitoring.timeSeries.list
- redis.instances.list
Run Once:
- monitoring.timeSeries.list
- redis.instances.list

Custom Policies

Check if an SSL Certificate is About to Expire:

policies:
    - name: appengine-certificate-age
      description: |
        Check existing certificate
      resource: gcp.app-engine-certificate
      filters:
      - type: value
        key: expireTime
        op: less-than
        value_type: expiration
        value: 60
      actions:
       - type: notify
         subject: Certificates expiring in 60 days
         to:
           - email@address
         format: txt
         transport:
           type: pubsub
           topic: projects/my-gcp-project/topics/my-topic

Delete Instance Templates with Wrong Settings:

vars:
  # See https://cloud.google.com/compute/docs/machine-types
  disallowed-machine-types: &disallowed-machine-types
    - "f1-micro"
    - "g1-small"
    - "n1-highcpu-32"
    - "n1-highcpu-64"
    - "n1-highcpu-96"

policies:
  - name: gcp-instance-template-delete-disallowed-machine-types
    resource: gcp.instance-template
    filters:
      - type: value
        key: properties.machineType
        op: in
        value: *disallowed-machine-types
    actions:
      - type: delete

Notify if Logging is Disabled in DNS Policy:

policies:
    - name: gcp-dns-policies-notify-if-logging-disabled
      resource: gcp.dns-policy
      filters:
        - type: value
          key: enableLogging
          value: false
      actions:
        - type: notify
          to:
            - email@email
          format: json
          transport:
            type: pubsub
            topic: projects/cloud-custodian/topics/dns

List Unsucessful Backups Older Than N Days:

policies:
- name: sql-backup-run
  description: |
    check basic work of Cloud SQL filter on backup runs: lists unsucessful backups older than 5 days
  resource: gcp.sql-backup-run
  filters:
    - type: value
      key: status
      op: not-equal
      value: SUCCESSFUL
    - type: value
      key: endTime
      op: greater-than
      value_type: age
      value: 5
  actions:
    - type: notify
      to:
       - email@address
      # address doesnt matter
      format: txt
      transport:
        type: pubsub
        topic: projects/river-oxygen-233508/topics/first

5.Check for Hanged Job:

policies:
  - name: gcp-dataflow-jobs-update
    resource: gcp.dataflow-job
    filters:
      - type: value
        key: startTime
        op: greater-than
        value_type: age
        value: 1
      - type: value
        key: currentState
        value: [JOB_STATE_RUNNING, JOB_STATE_DRAINING, JOB_STATE_CANCELLING]
    actions:
      - type: notify
        to:
          - email@address
        format: json
        transport:
          type: pubsub
          topic: projects/cloud-custodian/topics/dataflow

Governance Recommendation Health​

How It Works:​

Error Notifications:​

Status Breakdown:​

Recommendations​

Recommendation: delete-gcp-idle-compute-images​

Recommendation: delete-gcp-never-attached-disks​

Recommendation: gcp-stop-forever-running-instance​

Recommendation: gcp-delete-old-snapshot​

Recommendation: stop-underutilized-instances​

Recommendation: stop-underutilized-sql-instances​

Recommendation: snapshot-and-delete-gcp-unattached-disk​

Recommendation: gcp-idle-gke-clusters​

Recommendation: gcp-cloud-run-cpu-allocation​

Recommendation: gcp-list-unused-bq-datasets​

Recommendation: gcp-delete-unused-cloud-functions​

Recommendation: gcp-list-low-utilized-bucket​

Recommendation: gcp-list-hanged-dataflow-jobs​

Recommendation: gcp-delete-low-utilized-load-balancers​

Recommendation: gcp-list-unused-redis-instances​

Custom Policies​

Governance Recommendation Health

How It Works:

Error Notifications:

Status Breakdown:

Recommendations

Recommendation: delete-gcp-idle-compute-images

Recommendation: delete-gcp-never-attached-disks

Recommendation: gcp-stop-forever-running-instance

Recommendation: gcp-delete-old-snapshot

Recommendation: stop-underutilized-instances

Recommendation: stop-underutilized-sql-instances

Recommendation: snapshot-and-delete-gcp-unattached-disk

Recommendation: gcp-idle-gke-clusters

Recommendation: gcp-cloud-run-cpu-allocation

Recommendation: gcp-list-unused-bq-datasets

Recommendation: gcp-delete-unused-cloud-functions

Recommendation: gcp-list-low-utilized-bucket

Recommendation: gcp-list-hanged-dataflow-jobs

Recommendation: gcp-delete-low-utilized-load-balancers

Recommendation: gcp-list-unused-redis-instances

Custom Policies