Cost recommendations

Azure Advisor helps you optimize and reduce your overall Azure spend by identifying idle and underutilized resources. You can get cost recommendations from the Cost tab on the Advisor dashboard.

  1. Sign in to the Azure portal.

  2. Search for and select Advisor from any page.

  3. On the Advisor dashboard, select the Cost tab.

Compute

Use Standard Storage to store Managed Disks snapshots

To save 60% of cost, we recommend storing your snapshots in Standard Storage, regardless of the storage type of the parent disk. This is the default option for Managed Disks snapshots. Migrate your snapshot from Premium to Standard Storage. Refer to Managed Disks pricing details.

Learn more about Managed Disk Snapshot - ManagedDiskSnapshot (Use Standard Storage to store Managed Disks snapshots).

Right-size or shutdown underutilized virtual machines

We've analyzed the usage patterns of your virtual machine over the past 7 days and identified virtual machines with low usage. While certain scenarios can result in low utilization by design, you can often save money by managing the size and number of virtual machines.

Learn more about Virtual machine - LowUsageVmV2 (Right-size or shutdown underutilized virtual machines).

You have disks which have not been attached to a VM for more than 30 days. Please evaluate if you still need the disk.

We have observed that you have disks which have not been attached to a VM for more than 30 days. Please evaluate if you still need the disk. Note that if you decide to delete the disk, recovery is not possible. We recommend that you create a snapshot before deletion or ensure the data in the disk is no longer required.

Learn more about Disk - DeleteOrDowngradeUnattachedDisks (You have disks which have not been attached to a VM for more than 30 days. Please evaluate if you still need the disk.).

MariaDB

Right-size underutilized MariaDB servers

Our internal telemetry shows that the MariaDB database server resources have been underutilized for an extended period of time over the last 7 days. Low resource utilization results in unwanted expenditure which can be fixed without significant performance impact. To reduce your costs and efficiently manage your resources, we recommend reducing the compute size (vCores) by half.

Learn more about MariaDB server - OrcasMariaDbCpuRightSize (Right-size underutilized MariaDB servers).

MySQL

Right-size underutilized MySQL servers

Our internal telemetry shows that the MySQL database server resources have been underutilized for an extended period of time over the last 7 days. Low resource utilization results in unwanted expenditure which can be fixed without significant performance impact. To reduce your costs and efficiently manage your resources, we recommend reducing the compute size (vCores) by half.

Learn more about MySQL server - OrcasMySQLCpuRightSize (Right-size underutilized MySQL servers).

PostgreSQL

Right-size underutilized PostgreSQL servers

Our internal telemetry shows that the PostgreSQL database server resources have been underutilized for an extended period of time over the last 7 days. Low resource utilization results in unwanted expenditure which can be fixed without significant performance impact. To reduce your costs and efficiently manage your resources, we recommend reducing the compute size (vCores) by half.

Learn more about PostgreSQL server - OrcasPostgreSqlCpuRightSize (Right-size underutilized PostgreSQL servers).

Azure Cosmos DB

Review the configuration of your Azure Cosmos DB free tier account

Your Azure Cosmos DB free tier account is currently containing resources with a total provisioned throughput exceeding 1000 Request Units per second (RU/s). Because the free tier only covers the first 1000 RU/s of throughput provisioned across your account, any throughput beyond 1000 RU/s will be billed at the regular pricing. As a result, we anticipate that you will get charged for the throughput currently provisioned on your Azure Cosmos DB account.

Learn more about Azure Cosmos DB account - CosmosDBFreeTierOverage (Review the configuration of your Azure Cosmos DB free tier account).

Consider taking action on your idle Azure Cosmos DB containers

We haven't detected any activity over the past 30 days on one or more of your Azure Cosmos DB containers. Consider lowering their throughput, or deleting them if you don't plan on using them.

Learn more about Azure Cosmos DB account - CosmosDBIdleContainers (Consider taking action on your idle Azure Cosmos DB containers).

Enable autoscale on your Azure Cosmos DB database or container

Based on your usage in the past 7 days, you can save by enabling autoscale. For each hour, we compared the RU/s provisioned to the actual utilization of the RU/s (what autoscale would have scaled to) and calculated the cost savings across the time period. Autoscale helps optimize your cost by scaling down RU/s when not in use.

Learn more about Azure Cosmos DB account - CosmosDBAutoscaleRecommendations (Enable autoscale on your Azure Cosmos DB database or container).

Configure manual throughput instead of autoscale on your Azure Cosmos DB database or container

Based on your usage in the past 7 days, you can save by using manual throughput instead of autoscale. Manual throughput is more cost-effective when average utilization of your max throughput (RU/s) is greater than 66% or less than or equal to 10%.

Learn more about Azure Cosmos DB account - CosmosDBMigrateToManualThroughputFromAutoscale (Configure manual throughput instead of autoscale on your Azure Cosmos DB database or container).

Data Explorer

Unused/Empty Data Explorer resources

This recommendation surfaces all Data Explorer resources provisioned more than 10 days from the last update, and found either empty or with no activity. The recommended action is to validate and consider deleting the resources.

Learn more about Data explorer resource - ADX Unused resource (Unused/Empty Data Explorer resources).

Right-size Data Explorer resources for optimal cost

One or more of these were detected: Low data capacity, CPU utilization, or memory utilization. The recommended action to improve the performance is to scale down and/or scale in the resource to the recommended configuration shown.

Learn more about Data explorer resource - Right-size for cost (Right-size Data Explorer resources for optimal cost).

Reduce Data Explorer table cache policy to optimize costs

Reducing the table cache policy will free up Data Explorer cluster nodes with low CPU utilization, memory, and a high cache size configuration.

Learn more about Data explorer resource - ReduceCacheForAzureDataExplorerTables (Reduce Data Explorer table cache policy to optimize costs).

Unused running Data Explorer resources

This recommendation surfaces all running Data Explorer resources with no user activity. Consider stopping the resources.

Learn more about Data explorer resource - StopUnusedClusters (Unused running Data Explorer resources).

Cleanup unused storage in Data Explorer resources

Over time, internal extents merge operations can accumulate redundant and unused storage artifacts that remain beyond the data retention period. While this unreferenced data doesn’t negatively impact the performance, it can lead to more storage use and larger costs than necessary. This recommendation surfaces Data Explorer resources that have unused storage artifacts. The recommended action is to run the cleanup command to detect and delete unused storage artifacts and reduce cost. Note that data recoverability will be reset to the cleanup time and will not be available on data that was created before running the cleanup.

Learn more about Data explorer resource - RunCleanupCommandForAzureDataExplorer (Cleanup unused storage in Data Explorer resources).

Enable optimized autoscale for Data Explorer resources

Looks like your resource could have automatically scaled to reduce costs (based on the usage patterns, cache utilization, ingestion utilization, and CPU). To optimize costs and performance, we recommend enabling optimized autoscale. To make sure you don't exceed your planned budget, add a maximum instance count when you enable this.

Learn more about Data explorer resource - EnableOptimizedAutoscaleAzureDataExplorer (Enable optimized autoscale for Data Explorer resources).

Network

Delete ExpressRoute circuits in the provider status of Not Provisioned

We noticed that your ExpressRoute circuit is in the provider status of Not Provisioned for more than one month. This circuit is currently billed hourly to your subscription. We recommend that you delete the circuit if you aren't planning to provision the circuit with your connectivity provider.

Learn more about ExpressRoute circuit - ExpressRouteCircuit (Delete ExpressRoute circuits in the provider status of Not Provisioned).

Repurpose or delete idle virtual network gateways

We noticed that your virtual network gateway has been idle for over 90 days. This gateway is being billed hourly. You may want to reconfigure this gateway, or delete it if you do not intend to use it anymore.

Learn more about Virtual network gateway - IdleVNetGateway (Repurpose or delete idle virtual network gateways).

Recovery Services

Use differential or incremental backup for database workloads

For SQL/HANA DBs in Azure VMs being backed up to Azure, using daily differential with weekly full backup is often more cost-effective than daily fully backups. For HANA, Azure Backup also supports incremental backup which is even more cost effective

Learn more about Recovery Services vault - Optimize costs of database backup (Use differential or incremental backup for database workloads).

Storage

Revisit retention policy for classic log data in storage accounts

Large classic log data is detected on your storage accounts. You are billed on capacity of data stored in storage accounts including classic logs. You are recommended to check the retention policy of classic logs and update with necessary period to retain less log data. This would reduce unnecessary classic log data and save your billing cost from less capacity.

Learn more about Storage Account - XstoreLargeClassicLog (Revisit retention policy for classic log data in storage accounts).

Reserved Instances

Configure automatic renewal for your expiring reservation

Reserved instances listed below are expiring soon or recently expired. Your resources will continue to operate normally, however, you will be billed at the on-demand rates going forward. To optimize your costs, configure automatic renewal for these reservations or purchase a replacement manually.

Learn more about Reservation - ReservedInstancePurchaseNew (Configure automatic renewal for your expiring reservation).

Buy virtual machine reserved instances to save money over pay-as-you-go costs

Reserved instances can provide a significant discount over pay-as-you-go prices. With reserved instances, you can pre-purchase the base costs for your virtual machines. Discounts will automatically apply to new or existing VMs that have the same size and region as your reserved instance. We analyzed your usage over the last 30 days and recommend money-saving reserved instances.

Learn more about Virtual machine - ReservedInstance (Buy virtual machine reserved instances to save money over pay-as-you-go costs).

Consider Azure Cosmos DB reserved instance to save over your pay-as-you-go costs

We analyzed your Azure Cosmos DB usage pattern over last 30 days and calculate reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase Azure Cosmos DB hourly usage and save over your pay-as-you-go costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and usage pattern over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings even more.

Learn more about Subscription - CosmosDBReservedCapacity (Consider Azure Cosmos DB reserved instance to save over your pay-as-you-go costs).

Consider SQL PaaS DB reserved instance to save over your pay-as-you-go costs

We analyzed your SQL PaaS usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase hourly usage for your SQL PaaS deployments and save over your SQL PaaS compute costs. SQL license is charged separately and is not discounted by the reservation. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - SQLReservedCapacity (Consider SQL PaaS DB reserved instance to save over your pay-as-you-go costs).

Consider App Service stamp fee reserved instance to save over your on-demand costs

We analyzed your App Service isolated environment stamp fees usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase hourly usage for the isolated environment stamp fee and save over your Pay-as-you-go costs. Note that reserved instance only applies to the stamp fee and not to the App Service instances. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions based on usage pattern over last 30 days.

Learn more about Subscription - AppServiceReservedCapacity (Consider App Service stamp fee reserved instance to save over your on-demand costs).

Consider Database for MariaDB reserved instance to save over your pay-as-you-go costs

We analyzed your Azure Database for MariaDB usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase MariaDB hourly usage and save over your compute costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - MariaDBSQLReservedCapacity (Consider Database for MariaDB reserved instance to save over your pay-as-you-go costs).

Consider Database for MySQL reserved instance to save over your pay-as-you-go costs

We analyzed your MySQL Database usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase MySQL hourly usage and save over your compute costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - MySQLReservedCapacity (Consider Database for MySQL reserved instance to save over your pay-as-you-go costs).

Consider Database for PostgreSQL reserved instance to save over your pay-as-you-go costs

We analyzed your Database for PostgreSQL usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase PostgresSQL Database hourly usage and save over your on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - PostgreSQLReservedCapacity (Consider Database for PostgreSQL reserved instance to save over your pay-as-you-go costs).

Consider Cache for Redis reserved instance to save over your pay-as-you-go costs

We analyzed your Cache for Redis usage pattern over last 30 days and calculated reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase Cache for Redis hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - RedisCacheReservedCapacity (Consider Cache for Redis reserved instance to save over your pay-as-you-go costs).

Consider Azure Synapse Analytics (formerly SQL DW) reserved instance to save over your pay-as-you-go costs

We analyze your Azure Synapse Analytics usage pattern over last 30 days and recommend reserved instance purchase that maximizes your savings. With reserved instance you can pre-purchase Synapse Analytics hourly usage and save over your on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - SQLDWReservedCapacity (Consider Azure Synapse Analytics (formerly SQL DW) reserved instance to save over your pay-as-you-go costs).

(Preview) Consider Blob storage reserved instance to save on Blob v2 and Datalake storage Gen2 costs

We analyzed your Azure Blob and Datalake storage usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Blob storage reserved instance applies only to data stored on Azure Blob (GPv2) and Azure Data Lake Storage (Gen 2). Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - BlobReservedCapacity ((Preview) Consider Blob storage reserved instance to save on Blob v2 and and Datalake storage Gen2 costs).

Consider Azure Dedicated Host reserved instance to save over your on-demand costs

We analyzed your Azure Dedicated Host usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - AzureDedicatedHostReservedCapacity (Consider Azure Dedicated Host reserved instance to save over your on-demand costs).

Consider Data Factory reserved instance to save over your on-demand costs

We analyzed your Data Factory usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - DataFactorybReservedCapacity (Consider Data Factory reserved instance to save over your on-demand costs).

Consider Azure Data Explorer reserved instance to save over your on-demand costs

We analyzed your Azure Data Explorer usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - AzureDataExplorerReservedCapacity (Consider Azure Data Explorer reserved instance to save over your on-demand costs).

Consider Azure Files reserved instance to save over your on-demand costs

We analyzed your Azure Files usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - AzureFilesReservedCapacity (Consider Azure Files reserved instance to save over your on-demand costs).

Consider Azure VMware Solution reserved instance to save over your on-demand costs

We analyzed your Azure VMware Solution usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - AzureVMwareSolutionReservedCapacity (Consider Azure VMware Solution reserved instance to save over your on-demand costs).

Consider NetApp Storage reserved instance to save over your on-demand costs

We analyzed your NetApp Storage usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - NetAppStorageReservedCapacity (Consider NetApp Storage reserved instance to save over your on-demand costs).

Consider Azure Managed Disk reserved instance to save over your on-demand costs

We analyzed your Azure Managed Disk usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - AzureManagedDiskReservedCapacity (Consider Azure Managed Disk reserved instance to save over your on-demand costs).

Consider Red Hat reserved instance to save over your on-demand costs

We analyzed your Red Hat usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - RedHatReservedCapacity (Consider Red Hat reserved instance to save over your on-demand costs).

Consider RedHat Osa reserved instance to save over your on-demand costs

We analyzed your RedHat Osa usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - RedHatOsaReservedCapacity (Consider RedHat Osa reserved instance to save over your on-demand costs).

Consider SapHana reserved instance to save over your on-demand costs

We analyzed your SapHana usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - SapHanaReservedCapacity (Consider SapHana reserved instance to save over your on-demand costs).

Consider SuseLinux reserved instance to save over your on-demand costs

We analyzed your SuseLinux usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - SuseLinuxReservedCapacity (Consider SuseLinux reserved instance to save over your on-demand costs).

Consider VMware Cloud Simple reserved instance

We analyzed your VMware Cloud Simple usage over last 30 days and calculated reserved instance purchase that would maximize your savings. With reserved instance you can pre-purchase hourly usage and save over your current on-demand costs. Reserved instance is a billing benefit and will automatically apply to new or existing deployments. Saving estimates are calculated for individual subscriptions and the usage pattern observed over last 30 days. Shared scope recommendations are available in reservation purchase experience and can increase savings further.

Learn more about Subscription - VMwareCloudSimpleReservedCapacity (Consider VMware Cloud Simple reserved instance ).

Subscription

Use Virtual Machines with Ephemeral OS Disk enabled to save cost and get better performance

With Ephemeral OS Disk, Customers get these benefits: Save on storage cost for OS disk. Get lower read/write latency to OS disk. Faster VM Reimage operation by resetting OS (and Temporary disk) to its original state. It is more preferable to use Ephemeral OS Disk for short-lived IaaS VMs or VMs with stateless workloads

Learn more about Subscription - EphemeralOsDisk (Use Virtual Machines with Ephemeral OS Disk enabled to save cost and get better performance).

Synapse

Consider enabling autopause feature on Spark compute.

Auto-pause releases and shuts down unused compute resources after a set idle period of inactivity

Learn more about Synapse workspace - EnableSynapseSparkComputeAutoPauseGuidance (Consider enabling autopause feature on spark compute.).

Consider enabling autoscale feature on Spark compute.

Apache Spark for Azure Synapse Analytics pool's Autoscale feature automatically scales the number of nodes in a cluster instance up and down. During the creation of a new Apache Spark for Azure Synapse Analytics pool, a minimum and maximum number of nodes can be set when Autoscale is selected. Autoscale then monitors the resource requirements of the load and scales the number of nodes up or down. There's no additional charge for this feature.

Learn more about Synapse workspace - EnableSynapseSparkComputeAutoScaleGuidance (Consider enabling autoscale feature on spark compute.).

Next steps

Learn more about Cost Optimization - Microsoft Azure Well Architected Framework