Cost Policies
Note:
Increase cost visibility and management in your multi-cloud world and take appropriate actions to run an efficient infrastructure.
The following table lists the cost policies along with their description.
Policy Name |
Description |
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Scans all S3 buckets in the given account and checks if the bucket exceeds a specified byte size. |
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Gathers Burst Credit and AWS CloudWatch CPU data for EC2 instances on 30-day intervals. |
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Sends email notifications before AWS savings plans expire. |
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Checks for newly purchased AWS Marketplace products and reports on them. |
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Checks for object store items for last modified date and moves the object to the cool or cold archive tiers after your approval. |
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Checks for snapshots older than specified number of days and, optionally, deletes them. |
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Sends email notifications when AWS Reserved Instances (RI) recommendations are identified. Note:These RI purchase recommendations are generated by AWS. |
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Sends email notifications when utilization falls below a threshold. |
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Finds AWS GP2 volume types and recommends them for an upgrade to GP3, if this would result in savings. |
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Checks for EC2 instances that have inefficient utilization for a specified number of days and downsizes or terminates them after approval. |
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Checks for RDS instances that have inefficient utilization for a user-specified number of days and downsizes or deletes them after approval. |
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Scans all S3 buckets and reports if they don’t have intelligent tiering enabled. |
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Sends email notifications when AWS savings plan recommendations are identified. Note:These recommendations are generated by AWS. |
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Sends email notifications when AWS Savings Plan Utilizations are identified. |
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Calculates savings realized by Reserved Instance, Savings Plan, and Spot Instance purchases for AWS. |
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Enables you to schedule start and stop times for your instance, along with the option to terminate instances, update and delete schedules. |
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Checks for AWS EC2 instance types that have been superseded and, optionally, updates the instance type. |
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Checks all classic load balancers to determine if any are unused (have no healthy instances). Then, you can approve the classic load balancers to be deleted. Note:Elastic Load Balancing (ELB) supports three types of load balancers: Application Load Balancers, Network Load Balancers, and Classic Load Balancers. This policy only reports on Classic Load Balancers. |
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Checks AWS for unused IP addresses and deletes them. |
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Checks for unused volumes and if no read/write operations are performed within a specified number of days, optionally, deletes them. |
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Checks Azure blob storage for the last modified date and moves the object to the cool or archive tier after your approval. |
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Automatically takes billing data for Azure China and sends the data to Flexera CBI, so that Azure China costs are visible in Flexera One. |
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Checks for instances that have inefficient utilization for a certain lookback period (in days). |
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Identifies Linux instances eligible for the Azure hybrid use benefit. |
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Identifies SQL instances eligible for the Azure hybrid use benefit. |
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Identifies Windows instances eligible for the Azure hybrid use benefit. |
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Checks for newly purchased Azure Marketplace products and reports on them. |
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Checks for snapshots older than specified number of days and, optionally, deletes them. |
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Sends email notifications when Azure Reserved Instances (RI) recommendations are identified. Note:These RI purchase recommendations are generated by Microsoft Azure. |
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Sends email notifications when utilization falls below a threshold. |
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Sends email notifications when utilization falls below a threshold. |
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Checks for instances that have inefficient utilization for the last 30 days and downsizes or deletes them after approval. |
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Checks for underutilized managed disks and suggests recommendations for downgrading the managed disk tier if it results in savings and meets the required usage levels. |
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Checks for oversized NetApp capacity pools and suggests recommendations for rightsizing the capacity pools and volumes to optimize efficiency and reduce costs. |
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Checks for inefficient Azure SQL single database services that are inside or outside the CPU threshold for the last 30 days and resizes them after approval. |
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Checks for Synapse dedicated SQL pools instances that have inefficient utilization for the user-specified number of days and pauses them after approval. |
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Sends email notifications when it finds Azure savings plan recommendations for which the net savings exceed a threshold set in the policy. |
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Calculates savings realized by Reserved Instance purchases for Azure. |
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Schedules EC2 instances to start and stop at specific times based on a configuration stored in the instance's tags. |
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Checks a list of Azure SQL Servers and checks for Elastic DB Pools. |
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Azure Storage Accounts Without Lifecycle Management Policies |
Reviews a list of storage accounts and determines whether lifecycle policies are enabled. |
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Checks for Azure instance types that have been superseded and, optionally, updates the instance type. |
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Checks for unused IP addresses in the given account and, optionally, deletes them. |
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Checks for unused volumes older than specified number of days and, optionally, deletes them. |
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Leverages cloud budgets to detect if the budget expense has exceeded its allocated value. |
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Creates a monthly budget alert for a cloud vendor account. |
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Sends an email report comparing actual spending with budgeted values. |
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Specifies which regions have cheaper alternatives by specifying the expensive region name and the cheaper region name for analysis. |
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Report any cloud cost anomalies detected by Flexera Cloud Cost Optimization. |
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Pulls the cost data for the lookback period, and then generates a moving average forecast of cloud spend for the specified months. |
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Cloud Spend Forecast - Straight-Line (Linear Regression Model) |
Cloud Spend Forecast policies provide a number of ways to gain some insight into what your future spend may look like. The following policies can be applied:
This policy uses the Straight-Line method using the Linear Regression model, which uses a more sophisticated calculation than the Simple model to forecast your spend. You can choose to forecast at the Billing Center or entire Organization level, specify how many months of historical data should be considered, and specify how many months should be forecasted. In addition, you can choose to breakdown forecasted costs by the following dimensions: category, region, service, and vendor account (for example, AWS account, Azure subscription, and so on). |
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Predicting what you may spend on cloud is a challenging task given the variable nature of cloud consumption and the effects of optimization activities such as reservations and rightsizing. Our Cloud Spend Forecast policies provide a number of ways to gain some insight into what your future spend may look like. The following policies can be applied:
This policy uses the Straight-Line method using the Simple model, which uses a more basic calculation than the Linear Regression model to forecast your spend. You can choose to forecast at the Billing Center or entire Organization level, specify how many months of historical data should be considered, and specify how many months should be forecasted. In addition, you can choose to breakdown forecasted costs by the following dimensions: category, region, service, and vendor account (for example, AWS account, Azure subscription, and so on). |
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Creates an adjustment rule that converts the currency of the cost of the cloud vendor of choice. |
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Emails a list of cost recommendations pulled from the Flexera Optimization dashboard. |
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Sends email notifications for all Google Cloud Platform CUDs. |
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Finds Google Cloud Platform committed use discount recommendations and reports when it finds them. |
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Sends email notifications when Google Cloud Platform CUDs are about to expire. |
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Reports on any idle Cloud SQL instances identified by the Google Recommender service. You can then choose to stop or delete the Cloud SQL instance if desired. Optionally, you can filter results by label, project ID/name, or region. |
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Checks for Google Cloud Platform compute instances that are idle for the last 30 days and terminates them after approval. |
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Finds idle IP addresses and reports when it finds them. You can then delete the idle IP addresses. |
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Finds idle persistent disk recommendations and reports when it finds them. You can then delete the idle volumes. |
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Checks Google Cloud Platform storage objects for the last updated time and moves the object to nearline or coldline. To delete the object, enable the delete action as mentioned in README.md. |
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Checks for snapshots older than specified number of days and, optionally, deletes them. |
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Finds Google Recommendations and reports when it finds them. |
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Checks Google Cloud Platform SQL instances based on provided CPU threshold and resizes them after approval. |
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Finds underutilized and idle Google VM instances and downsizes, stops, or deletes them after approval. |
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Enables you to schedule start and stop times for your instance, along with the option to terminate instance, update and delete schedule. |
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Recommends Kubernetes cluster configuration for performance and cost optimization. |
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Recommends container resource reservation based on historical utilization and cost optimization. |
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Analyzes all account usage and recommends consolidation or deletion. |
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Analyzes all service usage and recommends consolidation or deletion. |
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Analyzes bills for new service usage and sends email notifications. |
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Downloads cost reports from Oracle Cloud (OCI) and then uploads them to a Flexera CBI endpoint. |
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Generates a reserved instances report by billing center. |
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Sends email notifications on reserved instance coverage. |
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Allows you to configure scheduled reports that will provide summaries of cloud cost. |
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Utilizes Turbonomic endpoint to provide AWS VM allocation recommendations for Reserved Instance coverage. From these recommendations, we provide monthly savings estimates based on Turbonomic per hour costs. |
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Utilizes Turbonomic endpoint to provide Azure VM allocation recommendations for Reserved Instance coverage. From these recommendations, we provide monthly savings estimates based on Turbonomic per hour costs. |
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Utilizes Turbonomic endpoint to provide GCP VM allocation recommendations for Reserved Instance coverage. From these recommendations, we provide monthly savings estimates based on Turbonomic per hour costs. |
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Uses the Turbonomic Actions API to provide purchase recommendations for AWS reserved instances. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions API to provide purchase recommendations for Azure reserved instances. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for deleting unattached AWS volumes. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for deleting unattached Azure volumes. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for deleting unattached Google Cloud Platform volumes. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing AWS databases and database servers. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing Azure databases and database servers. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing AWS virtual machines. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing Azure virtual machines. Details on these endpoints can be found in the readme file of the policy. |
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Turbonomic Rightsize Virtual Machines Recommendations Google |
Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing Google Cloud Platform virtual machines. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing AWS virtual volumes. Details on these endpoints can be found in the readme file of the policy. |
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Uses the Turbonomic Actions and Business Units API endpoints to provide recommendations for rightsizing Azure virtual volumes. Details on these endpoints can be found in the readme file of the policy. |
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Allows the user to specify a commitment target value (based on the commitment amount agreed with your cloud service provider/s), and tracks the current commitment spend to date, as well as the projected commitment spend over a period. |