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infracost-usage-example.yml
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# This is an example usage file. It tells Infracost what usage values
# should be used when calculating usage costs for things like AWS S3 or Lambda.
# `infracost breakdown --usage-file infracost-usage.yml [other flags]`
# See docs: https://infracost.io/usage-file/
version: 0.1
resource_type_default_usage:
aws_lambda_function:
monthly_requests: 100000 # Monthly requests to the Lambda function.
request_duration_ms: 500 # Average duration of each request in milliseconds.
resource_usage:
#
# Terraform AWS resources
#
aws_acmpca_certificate_authority.my_private_ca:
monthly_requests: 20000 # Monthly private certificate requests.
aws_api_gateway_rest_api.my_rest_api:
monthly_requests: 100000000 # Monthly requests to the Rest API Gateway.
aws_apigatewayv2_api.my_v2_api:
monthly_requests: 100000000 # Monthly requests to the HTTP API Gateway.
request_size_kb: 512 # Average request size sent to the HTTP API Gateway in KB. Requests are metered in 512KB increments, maximum size is 10MB.
monthly_messages: 1500000000 # Monthly number of messages sent to the Websocket API Gateway.
message_size_kb: 32 # Average size of the messages sent to the Websocket API Gateway in KB. Messages are metered in 32 KB increments, maximum size is 128KB.
monthly_connection_mins: 10000000 # Monthly total connection minutes to Websockets.
aws_autoscaling_group.my_asg:
instances: 15 # Number of instances in the autoscaling group.
operating_system: linux # Override the operating system of the instance, can be: linux, windows, suse, rhel.
reserved_instance_type: standard # Offering class for Reserved Instances, can be: convertible, standard.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: no_upfront # Payment option for Reserved Instances, can be: no_upfront, partial_upfront, all_upfront.
monthly_cpu_credit_hrs: 350 # Number of hours in the month where the instance is expected to burst. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
vcpu_count: 2 # Number of the vCPUs for the instance type. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
aws_backup_vault.usage:
monthly_efs_warm_restore_gb: 10000 # Monthly number of EFS warm restore in GB.
monthly_efs_cold_restore_gb: 10000 # Monthly number of EFS cold restore in GB.
monthly_efs_item_restore_requests: 10000 # Monthly number of EFS item-level restore requests.
monthly_efs_warm_backup_gb: 10000 # Monthly number of EFS warm backups in GB.
monthly_efs_cold_backup_gb: 10000 # Monthly number of EFS cold backups in GB.
monthly_ebs_snapshot_gb: 10000 # Monthly number of EBS snapshots in GB.
monthly_rds_snapshot_gb: 10000 # Monthly number of RDS snapshots in GB.
monthly_aurora_snapshot_gb: 10000 # Monthly number of Aurora snapshots in GB.
monthly_dynamodb_backup_gb: 10000 # Monthly number of DynamoDB backups in GB.
monthly_dynamodb_restore_gb: 10000 # Monthly number of DynamoDB restore in GB.
monthly_fsx_windows_backup_gb: 10000 # Monthly number of FSX Windows backups in GB.
monthly_fsx_lustre_backup_gb: 10000 # Monthly number of FSX Lustre backups in GB.
aws_cloudformation_stack.my_formation:
monthly_handler_operations: 10000 # Monthly number of non-free handler operations (resources outside of the AWS::*, Alexa::*, and Custom::* namespaces).
monthly_duration_secs: 0 # Monthly duration of non-free handler operations that go above 30 seconds, in seconds.
aws_cloudformation_stack_set.my_formation_set:
monthly_handler_operations: 10000 # Monthly number of non-free handler operations (resources outside of the AWS::*, Alexa::*, and Custom::* namespaces).
monthly_duration_secs: 0 # Monthly duration of non-free handler operations that go above 30 seconds, in seconds.
aws_cloudhsm_v2_hsm.my_hsm:
monthly_hrs: 100 # Monthly number of hours the HSM ran for.
aws_cloudtrail.my_cloudtrail:
monthly_additional_management_events: 100000 # Monthly additional copies of read and write management events. The first copy of management events per region is free, so this should only be non-zero if there are multiple trails recording management events in this region.
monthly_data_events: 200000 # Monthly data events delivered to S3, Lambda or DynamoDB
monthly_insight_events: 400000 # Monthly CloudTrail Insight events
aws_cloudwatch_event_bus.my_events:
monthly_custom_events: 1000000 # Monthly custom events published. Each 64 KB chunk of payload is billed as 1 event.
monthly_third_party_events: 2000000 # Monthly third-party and cross-account events published. Each 64 KB chunk of payload is billed as 1 event.
monthly_archive_processing_gb: 100 # Monthly archive event processing in GB.
archive_storage_gb: 200 # Archive storage used for event replay in GB.
monthly_schema_discovery_events: 1000000 # Monthly events ingested for schema discovery. Each 8 KB chunk of payload is billed as 1 event.
aws_cloudwatch_log_group.my_log_group:
storage_gb: 1000 # Total data stored by CloudWatch logs in GB.
monthly_data_ingested_gb: 1000 # Monthly data ingested by CloudWatch logs in GB.
monthly_data_scanned_gb: 200 # Monthly data scanned by CloudWatch logs insights in GB.
aws_codebuild_project.my_project:
monthly_build_mins: 10000 # Monthly total duration of builds in minutes. Each build is rounded up to the nearest minute.
aws_config_config_rule.my_config:
monthly_rule_evaluations: 1000000 # Monthly config rule evaluations.
aws_config_configuration_recorder.my_config:
monthly_config_items: 10000 # Monthly config item records.
monthly_custom_config_items: 20000 # Monthly custom config item records.
aws_config_organization_custom_rule.my_config:
monthly_rule_evaluations: 300000 # Monthly config rule evaluations.
aws_config_organization_managed_rule.my_config:
monthly_rule_evaluations: 10000 # Monthly config rule evaluations.
aws_data_transfer.my_region:
region: us-east-1 # Region the data transfer is originating from.
monthly_intra_region_gb: 1000 # Monthly data transferred between availability zones in the region. Infracost multiplies this by two to account for AWS charging in-bound and out-bound rates.
monthly_outbound_us_east_to_us_east_gb: 500 # Monthly data transferred between US east regions. NOTE: this is only valid if the region is a us-east region.
monthly_outbound_other_regions_gb: 750 # Monthly data transferred to other AWS regions.
monthly_outbound_internet_gb: 5000 # Monthly data transferred to the Internet.
aws_db_instance.my_db:
additional_backup_storage_gb: 1000 # Amount of backup storage used that is in excess of 100% of the storage size for all databases in GB.
monthly_standard_io_requests: 10000 # Monthly number of input/output requests for database.
monthly_additional_performance_insights_requests: 10000 # Monthly Performance Insights API requests above the 1000000 requests included in the free tier.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances, can be: no_upfront (only for 1_year term), partial_upfront, all_upfront.
aws_directory_service_directory.my_directory:
additional_domain_controllers: 3 # The number of domain controllers in the directory service provisioned in addition to the minimum 2 controllers
shared_accounts: 8 # Number of accounts that Microsoft AD directory is shared with
aws_docdb_cluster.my_cluster:
backup_storage_gb: 10000 # Amount of backup storage that is in excess of 100% of the storage size for the cluster in GB.
aws_docdb_cluster_instance.my_db:
data_storage_gb: 1000 # Total storage for cluster in GB.
monthly_io_requests: 100000000 # Monthly number of input/output requests for cluster.
monthly_cpu_credit_hrs: 100 # Monthly CPU credits used over the instance baseline in vCPU-hours, only applicable for T3 instances.
aws_docdb_cluster_snapshot.my_snapshot:
backup_storage_gb: 10000 # Amount of backup storage that is in excess of 100% of the storage size for the cluster in GB.
aws_dx_connection.my_dx_connection:
monthly_outbound_region_to_dx_location_gb: 100 # (DEPRECATED use monthly_outbound_from_region_to_dx_connection_location instead) Monthly outbound data transferred from AWS region to DX location in GB.
monthly_outbound_from_region_to_dx_connection_location:
us_east_1: 200 # Monthly outbound data transferred to the DX location from us-east-1 in GB
eu_west_2: 100 # Monthly outbound data transferred to the DX location from eu-west-2 in GB
dx_virtual_interface_type: private # Interface type impacts outbound data transfer costs over DX, can be: private, public.
dx_connection_type: dedicated # Connection type impacts the per-port hourly price, can be: dedicated, hosted.
aws_dx_gateway_association.my_gateway:
monthly_data_processed_gb: 100 # Monthly data processed by the DX gateway association per month in GB.
aws_dynamodb_table.my_table:
monthly_write_request_units: 3000000 # Monthly write request units in (used for on-demand DynamoDB).
monthly_read_request_units: 8000000 # Monthly read request units in (used for on-demand DynamoDB).
storage_gb: 230 # Total storage for tables in GB.
pitr_backup_storage_gb: 2300 # Total storage for Point-In-Time Recovery (PITR) backups in GB.
on_demand_backup_storage_gb: 460 # Total storage for on-demand backups in GB.
monthly_data_restored_gb: 230 # Monthly size of restored data in GB.
monthly_streams_read_request_units: 2 # Monthly streams read request units.
aws_ebs_snapshot.my_snapshot:
monthly_list_block_requests: 1000000 # Monthly number of ListChangedBlocks and ListSnapshotBlocks requests.
monthly_get_block_requests: 100000 # Monthly number of GetSnapshotBlock requests (block size is 512KiB).
monthly_put_block_requests: 100000 # Monthly number of PutSnapshotBlock requests (block size is 512KiB).
fast_snapshot_restore_hours: 100 # Monthly number of DSU-hours for Fast snapshot restore
aws_ebs_volume.my_standard_volume:
monthly_standard_io_requests: 10000000 # Monthly I/O requests for standard volume (Magnetic storage).
aws_ec2_host.my_host:
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances, can be: no_upfront, partial_upfront, all_upfront.
aws_ec2_transit_gateway_vpc_attachment.my_vpc_attachment:
monthly_data_processed_gb: 100 # Monthly data processed by the EC2 transit gateway attachment(s) in GB.
aws_ecr_repository.my_repository:
storage_gb: 1 # Total size of ECR repository in GB.
aws_efs_file_system.my_file_system:
storage_gb: 230 # Total storage for Standard class in GB.
infrequent_access_storage_gb: 100 # Total storage for Infrequent Access class in GB.
monthly_infrequent_access_read_gb: 50 # Monthly infrequent access read requests in GB.
monthly_infrequent_access_write_gb: 100 # Monthly infrequent access write requests in GB.
aws_eks_node_group.my_instance:
instances: 15 # Number of instances in the EKS node group.
operating_system: linux # Override the operating system of the instance, can be: linux, windows, suse, rhel.
reserved_instance_type: standard # Offering class for Reserved Instances, can be: convertible, standard.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances, can be: no_upfront, partial_upfront, all_upfront.
monthly_cpu_credit_hrs: 350 # Number of hours in the month where the instance is expected to burst. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
vcpu_count: 2 # Number of the vCPUs for the instance type. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
aws_elastic_beanstalk_environment.my_eb_environment:
db:
additional_backup_storage_gb: 1000 # Amount of backup storage used that is in excess of 100% of the storage size for all databases in GB.
monthly_standard_io_requests: 10000 # Monthly number of input/output requests for database.
monthly_additional_performance_insights_requests: 10000 # Monthly Performance Insights API requests above the 1000000 requests included in the free tier.
ec2:
monthly_cpu_credit_hrs: 350 # Number of hours in the month where the instance is expected to burst. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
cloudwatch:
storage_gb: 1000 # Total data stored by CloudWatch logs in GB.
monthly_data_ingested_gb: 1000 # Monthly data ingested by CloudWatch logs in GB.
monthly_data_scanned_gb: 200 # Monthly data scanned by CloudWatch logs insights in GB.
lb:
new_connections: 500000 # Number of newly established connections per second on average.
active_connections: 100000 # Number of active connections per minute on average.
processed_bytes_gb: 25000 # The number of bytes processed by the load balancer for HTTP(S) requests and responses in GB.
rule_evaluations: 10000 # Number of rule evaluations on application/network load balancers
elb:
monthly_data_processed_gb: 10000 # Monthly data processed on classic loadbalaner
aws_elasticache_cluster.my_redis_snapshot:
snapshot_storage_size_gb: 10000 # Size of Redis snapshots in GB.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances. Can be: no_upfront, partial_upfront, all_upfront for standard offering class. Can be: heavy_utilization, medium_utilization, light utilization for legacy offering class.
aws_elasticache_replication_group.my_redis_replication_snapshot:
snapshot_storage_size_gb: 10000 # Size of Redis snapshots in GB.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances. Can be: no_upfront, partial_upfront, all_upfront for standard offering class. Can be: heavy_utilization, medium_utilization, light utilization for legacy offering class.
aws_elb.my_elb:
monthly_data_processed_gb: 10000 # Monthly data processed by a Classic Load Balancer in GB.
aws_globalaccelerator_endpoint_group.my_endpoint_group:
monthly_inbound_data_transfer_gb:
us: 12340000 # United States, Mexico, Canada
europe: 22340000 # Europe
south_africa: 32340000 # South Africa, Kenya
south_america: 42340000 # South America
south_korea: 52340000 # South Korea
australia: 62340000 # Australia, New Zealand
asia_pacific: 62340000 # Asia Pacific
india: 72340000 # India, Indonesia, Philippines, Thailand
monthly_outbound_data_transfer_gb:
us: 1234 # United States, Mexico, Canada
europe: 2234 # Europe
south_africa: 3234 # South Africa, Kenya
south_america: 4234 # South America
south_korea: 5234 # South Korea
australia: 6234 # Australia, New Zealand
asia_pacific: 6234 # Asia Pacific
india: 7234 # India, Indonesia, Philippines, Thailand
aws_glue_catalog_database.my_db:
monthly_objects: 100000 # Monthly number of objects stored above the free one million object storage limit.
monthly_requests: 100000 # Monthly number of requests to the db beyond the free one million requests limit.
aws_glue_crawler.my_crawler:
monthly_hours: 60 # Monthly number of hours the Glue crawler ran for.
aws_glue_job.my_job:
monthly_hours: 60 # Monthly number of hours the Glue job ran for.
aws_instance.my_instance:
operating_system: linux # Override the operating system of the instance, can be: linux, windows, suse, rhel.
reserved_instance_type: standard # Offering class for Reserved Instances, can be: convertible, standard.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: all_upfront # Payment option for Reserved Instances, can be: no_upfront, partial_upfront, all_upfront.
monthly_cpu_credit_hrs: 350 # Number of hours in the month where the instance is expected to burst. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
vcpu_count: 2 # Number of the vCPUs for the instance type. Only applicable with t2, t3 & t4 Instance types. T2 requires credit_specification to be unlimited.
monthly_hrs: 450 # Monthly number of hours the instance ran for.
aws_fsx_windows_file_system.my_system:
backup_storage_gb: 10000 # Total storage used for backups in GB.
aws_kinesis_analytics_application.my_kinesis:
kinesis_processing_units: 10 # Number of Kinesis processing units.
durable_application_backup_gb: 100 # Total amount of durable application backup in GB.
aws_kinesisanalyticsv2_application.my_kinesis:
kinesis_processing_units: 10 # Number of Kinesis processing units.
durable_application_backup_gb: 100 # Total amount of durable application backup in GB.
aws_kinesisanalyticsv2_application_snapshot.my_kinesis:
durable_application_backup_gb: 100 # Total amount of durable application backups in GB.
aws_kinesis_firehose_delivery_stream.my_kinesis:
monthly_data_ingested_gb: 3000000 # Monthly data ingested by the Delivery Stream in GB.
aws_kinesis_stream.my_kinesis:
monthly_on_demand_data_in_gb: 0.20 # Monthly data ingested by the stream in GB.
monthly_on_demand_data_out_gb: 0.20 # Monthly data egressed by the stream in GB total, (not per consumer application).
monthly_on_demand_efo_data_out_gb: 2.0 # Monthly data egressed by the stream in GB to EFO consumers.
monthly_on_demand_extended_retention_gb: 1.0 # Monthly data stored by the stream in GB that exceeds the 24 hour retention period but is less than 7 days.
monthly_on_demand_long_term_retention_gb: 1.0 # Monthly data stored by the stream in GB that exceeds the 7 day retention period.
monthly_provisioned_put_units: 6500000 # Monthly provisioned put units for the stream.
monthly_provisioned_extended_retention_gb: 100 # Monthly data stored by the stream in GB that exceeds the 24 hour retention period but is less than 7 days.
monthly_provisioned_long_term_retention_gb: 100 # Monthly data stored by the stream in GB that exceeds the 7 day retention period.
monthly_provisioned_long_term_retrieval_gb: 100 # Monthly data retrieved by the stream in GB that exceeds the 7 day retention period.
monthly_provisioned_efo_data_out_gb: 100 # Monthly data egressed by the stream in GB to EFO consumers.
monthly_provisioned_efo_consumer_hours: 100 # Monthly hours of EFO consumer application usage.
aws_lambda_function.my_function:
monthly_requests: 100000 # Monthly requests to the Lambda function.
request_duration_ms: 500 # Average duration of each request in milliseconds.
aws_lambda_provisioned_concurrency_config.my_config:
monthly_duration_hrs: 100 # Number of hours in a month that provisioned concurrency will be enabled.
request_duration_ms: 350 # Average duration of each request in milliseconds during the enabled period.
monthly_requests: 10000000 # Number of requests sent to the function during the enabled period.
architecture: arm64 # Architecture of the Lambda function.
memory_mb: 512 # Memory size of the Lambda function.
aws_alb.my_alb:
new_connections: 10000 # Number of newly established connections per second on average.
active_connections: 10000 # Number of active connections per minute on average.
processed_bytes_gb: 1000 # The number of bytes processed by the load balancer for HTTP(S) requests and responses in GB.
rule_evaluations: 10000 # The product of number of rules processed by the load balancer and the request rate.
aws_lb.my_lb:
new_connections: 10000 # Number of newly established connections per second on average.
active_connections: 10000 # Number of active connections per minute on average.
processed_bytes_gb: 1000 # The number of bytes processed by the load balancer for HTTP(S) requests and responses in GB.
rule_evaluations: 10000 # The product of number of rules processed by the load balancer and the request rate.
aws_nat_gateway.my_nat_gateway:
monthly_data_processed_gb: 10 # Monthly data processed by the NAT Gateway in GB.
aws_neptune_cluster.my_cluster:
storage_gb: 100 # Total storage for the cluster in GB.
monthly_io_requests: 10000000 # Monthly number of input/output requests for cluster.
backup_storage_gb: 1000 # Total storage used for backups in GB.
aws_neptune_cluster_instance.my_cluster_instance:
monthly_cpu_credit_hrs: 10 # Number of hours in a month, where you expect to burst the baseline credit balance of a "t3" instance type.
aws_neptune_cluster_snapshot.my_cluster_snapshot:
backup_storage_gb: 1000 # Total storage used for backup snapshots in GB.
aws_networkfirewall_firewall.my_firewall:
monthly_data_processed_gb: 100 # Monthly data processed by the Network Firewall in GB.
aws_mq_broker.my_aws_mq_broker:
storage_size_gb: 12 # Data storage per instance in GB.
aws_mwaa_environment.my_aws_mwaa_environment:
additional_workers: 2.5 # Average number of monthly additional worker instances
additional_schedulers: 2 # Average number of monthly additional scheduler instances
meta_database_gb: 1000 # Total storage used for meta database
aws_rds_cluster.my_cluster:
capacity_units_per_hr: 50 # Number of Aurora Capacity Units per hour. Only used when engine_mode is "serverless". For Aurora Serverless V2, the capacity units are specified on the aws_rds_cluster_instance resource.
storage_gb: 200 # Storage amount in GB allocated to the aurora cluster.
write_requests_per_sec: 100 # Total number of writes per second for the cluster.
read_requests_per_sec: 100 # Total number of reads per second for the cluster.
backup_snapshot_size_gb: 200 # Individual storage size for backup snapshots, used in conjunction with resource parameter "backup_retention_period".
average_statements_per_hr: 10000 # Number of statements generated per hour when backtrack is enabled. Only available for MySQl-compatible Aurora
change_records_per_statement: 0.38 # Records changed per statement executed.
backtrack_window_hrs: 24 # The duration window for which Aurora will support rewinding the DB cluster to a specific point in time.
snapshot_export_size_gb: 200 # Size of snapshot that's exported to s3 in parquet format.
aws_rds_cluster_instance.my_cluster:
monthly_cpu_credit_hrs: 24 # Number of hours in a month, where you expect to burst the baseline credit balance of a "t3" instance type.
vcpu_count: 2 # (DEPRECATED this is now calculated automatically) Number of virtual CPUs allocated to your "t3" instance type. Currently instances with 2 vCPUs are available.
monthly_additional_performance_insights_requests: 10000 # Monthly Performance Insights API requests above the 1000000 requests included in the free tier.
reserved_instance_term: 1_year # Term for Reserved Instances, can be: 1_year, 3_year.
reserved_instance_payment_option: partial_upfront # Payment option for Reserved Instances, can be: no_upfront (only for 1_year term), partial_upfront, all_upfront.
capacity_units_per_hr: 50 # Number of Aurora Capacity Units per hour. Only used for Aurora Serverless V2 (when instance class is "db.serverless")
aws_redshift_cluster.with_usage:
managed_storage_gb: 10000
excess_concurrency_scaling_secs: 20000
spectrum_data_scanned_tb: 1.5
backup_storage_gb: 1000000
aws_route53_health_check.my_health_check:
endpoint_type: aws # Type of health check endpoint to query, can be: aws, non_aws.
aws_route53_record.my_record:
monthly_standard_queries: 1100000000 # Monthly number of Standard queries.
monthly_latency_based_queries: 1200000000 # Monthly number of Latency Based Routing queries.
monthly_geo_queries: 1500000000 # Monthly number of Geo DNS and Geoproximity queries.
aws_route53_resolver_endpoint.my_endpoint:
monthly_queries: 20000000000 # Monthly number of DNS queries processed through the endpoints.
aws_s3_bucket_analytics_configuration.my_config:
monthly_monitored_objects: 10000000 # Monthly number of monitored objects by S3 Analytics Storage Class Analysis.
aws_s3_bucket_inventory.my_inventory:
monthly_listed_objects: 100000000 # Monthly number of listed objects.
aws_s3_bucket.my_bucket:
object_tags: 10000000 # Total object tags. Only for AWS provider V3.
standard: # Usages of S3 Standard:
storage_gb: 10000 # Total storage in GB.
monthly_tier_1_requests: 1000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 100000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_select_data_scanned_gb: 10000 # Monthly data scanned by S3 Select in GB.
monthly_select_data_returned_gb: 1000 # Monthly data returned by S3 Select in GB.
intelligent_tiering: # Usages of S3 Intelligent - Tiering:
frequent_access_storage_gb: 20000 # Total storage for Frequent Access Tier in GB.
infrequent_access_storage_gb: 20000 # Total storage for Infrequent Access Tier in GB.
monitored_objects: 2000 # Total objects monitored by the Intelligent Tiering.
monthly_tier_1_requests: 2000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 200000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_lifecycle_transition_requests: 200000 # Monthly Lifecycle Transition requests.
monthly_select_data_scanned_gb: 20000 # Monthly data scanned by S3 Select in GB.
monthly_select_data_returned_gb: 2000 # Monthly data returned by S3 Select in GB.
early_delete_gb: 200000 # If an archive is deleted within 1 months of being uploaded, you will be charged an early deletion fee per GB.
standard_infrequent_access: # Usages of S3 Standard - Infrequent Access:
storage_gb: 30000 # Total storage in GB.
monthly_tier_1_requests: 3000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 300000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_lifecycle_transition_requests: 300000 # Monthly Lifecycle Transition requests.
monthly_data_retrieval_gb: 30000 # Monthly data retrievals in GB
monthly_select_data_scanned_gb: 30000 # Monthly data scanned by S3 Select in GB.
monthly_select_data_returned_gb: 3000 # Monthly data returned by S3 Select in GB.
one_zone_infrequent_access: # Usages of S3 One Zone - Infrequent Access:
storage_gb: 40000 # Total storage in GB.
monthly_tier_1_requests: 4000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 400000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_lifecycle_transition_requests: 400000 # Monthly Lifecycle Transition requests.
monthly_data_retrieval_gb: 40000 # Monthly data retrievals in GB
monthly_select_data_scanned_gb: 40000 # Monthly data scanned by S3 Select in GB.
monthly_select_data_returned_gb: 4000 # Monthly data returned by S3 Select in GB.
glacier_flexible_retrieval: # Usages of S3 Glacier Flexible Retrieval:
storage_gb: 50000 # Total storage in GB.
monthly_tier_1_requests: 5000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 500000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_lifecycle_transition_requests: 500000 # Monthly Lifecycle Transition requests.
monthly_standard_select_data_scanned_gb: 500000 # Monthly data scanned by S3 Select in GB (for standard level of S3 Glacier).
monthly_standard_select_data_returned_gb: 500000 # Monthly data returned by S3 Select in GB (for standard level of S3 Glacier).
monthly_bulk_select_data_scanned_gb: 500000 # Monthly data scanned by S3 Select in GB (for bulk level of S3 Glacier)
monthly_bulk_select_data_returned_gb: 500000 # Monthly data returned by S3 Select in GB (for bulk level of S3 Glacier)
monthly_expedited_select_data_scanned_gb: 500000 # Monthly data scanned by S3 Select in GB (for expedited level of S3 Glacier)
monthly_expedited_select_data_returned_gb: 500000 # Monthly data returned by S3 Select in GB (for expedited level of S3 Glacier)
monthly_standard_data_retrieval_requests: 500000 # Monthly data Retrieval requests (for standard level of S3 Glacier).
monthly_expedited_data_retrieval_requests: 500000 # Monthly data Retrieval requests (for expedited level of S3 Glacier).
monthly_standard_data_retrieval_gb: 5000 # Monthly data retrievals in GB (for standard level of S3 Glacier).
monthly_expedited_data_retrieval_gb: 5000 # Monthly data retrievals in GB (for expedited level of S3 Glacier).
early_delete_gb: 500000 # If an archive is deleted within 3 months of being uploaded, you will be charged an early deletion fee per GB.
glacier_deep_archive: # Usages of S3 Glacier Deep Archive:
storage_gb: 60000 # Total storage in GB.
monthly_tier_1_requests: 6000000 # Monthly PUT, COPY, POST, LIST requests (Tier 1).
monthly_tier_2_requests: 600000 # Monthly GET, SELECT, and all other requests (Tier 2).
monthly_lifecycle_transition_requests: 600000 # Monthly Lifecycle Transition requests.
monthly_standard_data_retrieval_requests: 600000 # Monthly data Retrieval requests (for standard level of S3 Glacier).
monthly_bulk_data_retrieval_requests: 600000 # Monthly data Retrieval requests (for bulk level of S3 Glacier).
monthly_standard_data_retrieval_gb: 6000 # Monthly data retrievals in GB (for standard level of S3 Glacier).
monthly_bulk_data_retrieval_gb: 6000 # Monthly data retrievals in GB (for bulk level of S3 Glacier).
early_delete_gb: 600000 # If an archive is deleted within 6 months of being uploaded, you will be charged an early deletion fee per GB.
aws_secretsmanager_secret.my_secret:
monthly_requests: 1000000 # Monthly API requests to Secrets Manager.
aws_sns_topic.my_sns_topic:
monthly_requests: 1000000 # Monthly requests to SNS.
request_size_kb: 64 # Size of requests to SNS
http_subscriptions: 100 # Number of HTTP/HTTPS subscriptions
email_subscriptions: 100 # Number of Email/Email-JSON subscriptions
kinesis_subscriptions: 0 # Number of Kinesis Firehose subscriptions
mobile_push_subscriptions: 0 # Number of Mobile Push subscriptions
macos_subscriptions: 0 # Number of MacOS subscriptions
sms_subscriptions: 1 # Number of SMS subscriptions
sms_notification_price: 0.008 # Average price for each SMS notification
aws_sns_topic_subscription.my_topic_subscription:
monthly_requests: 1000000 # (DEPRECATED use aws_sns_topic.monthly_requests instead) Monthly requests to SNS.
request_size_kb: 64 # (DEPRECATED use aws_sns_topic.request_size_kb instead) Size of requests to SNS, billed in 64KB chunks. So 1M requests at 128KB uses 2M requests.
aws_sqs_queue.my_queue:
monthly_requests: 1000000 # Monthly requests to SQS.
request_size_kb: 64 # Size of requests to SQS, billed in 64KB chunks. So 1M requests at 128KB uses 2M requests.
aws_ssm_parameter.my_ssm_parameter:
api_throughput_limit: standard # SSM Parameter Throughput limit, can be: standard, advanced, higher.
monthly_api_interactions: 1000000 # Monthly API interactions.
parameter_storage_hrs: 730 # Number of hours in the month parameters will be stored for.
aws_ssm_activation.my_activations:
instance_tier: standard # Instance tier being used, can be: standard, advanced.
instances: 100 # Number of instances being managed.
aws_transfer_server.my_transfer_server:
monthly_data_downloaded_gb: 50 # Monthly data downloaded over enabled protocols in GB.
monthly_data_uploaded_gb: 10 # Monthly data uploaded over enabled protocols in GB.
aws_vpc_endpoint.my_endpoint:
monthly_data_processed_gb: 1000 # Monthly data processed by the VPC endpoint(s) in GB.
aws_vpn_connection.my_connection:
monthly_data_processed_gb: 100 # Monthly data processed through a transit gateway attached to your VPN Connection in GB.
aws_cloudfront_distribution.my_s3_distribution:
monthly_data_transfer_to_internet_gb: # Monthly regional data transfer out to internet from the following, in GB:
us: 51200000 # United States, Mexico, Canada
europe: 220000 # Europe, Israel
south_africa: 10000 # South Africa, Kenya, Middle East
south_america: 50000 # South America
japan: 387000 # Japan
australia: 500000 # Australia, New Zealand
asia_pacific: 1200000 # Hong Kong, Philippines, Singapore, South Korea, Taiwan, Thailand
india: 200000 # India
monthly_data_transfer_to_origin_gb: # Monthly regional data transfer out to origin from the following, in GB:
us: 2200 # United States, Mexico, Canada
europe: 1000 # Europe, Israel
south_africa: 300 # South Africa, Kenya, Middle East
south_america: 200 # South America
japan: 10 # Japan
australia: 100 # Australia, New Zealand
asia_pacific: 30 # Hong Kong, Philippines, Singapore, South Korea, Taiwan, Thailand
india: 80 # India
monthly_http_requests: # Monthly number of HTTP requests to:
us: 80000 # United States, Mexico, Canada
europe: 40000 # Europe, Israel
south_africa: 20000 # South Africa, Kenya, Middle East
south_america: 10000 # South America
japan: 3000 # Japan
australia: 15000 # Australia, New Zealand
asia_pacific: 45000 # Hong Kong, Philippines, Singapore, South Korea, Taiwan, Thailand
india: 10000 # India
monthly_https_requests: # Monthly number of HTTPS requests to:
us: 180000 # United States, Mexico, Canada
europe: 10000 # Europe, Israel
south_africa: 50000 # South Africa, Kenya, Middle East
south_america: 30000 # South America
japan: 1000 # Japan
australia: 45000 # Australia, New Zealand
asia_pacific: 25000 # Hong Kong, Philippines, Singapore, South Korea, Taiwan, Thailand
india: 30000 # India
monthly_shield_requests: # Monthly number of shield requests to:
us: 90000 # United States
europe: 30000 # Europe
south_america: 200 # South America
japan: 12300 # Japan
australia: 2300 # Australia
singapore: 58600 # Singapore
south_korea: 24000 # South Korea
india: 10000 # India
monthly_invalidation_requests: 1200 # Monthly number of invalidation requests.
monthly_encryption_requests: 100000 # Monthly number of field level encryption requests.
monthly_log_lines: 5000000 # Monthly number of real-time log lines.
custom_ssl_certificates: 3 # Number of dedicated IP custom SSL certificates.
aws_sfn_state_machine.my_sfn_state_machine:
monthly_transitions: 1000 # Monthly number of state transitions. Only applicable for Standard Workflows.
monthly_requests: 10000 # Monthly number of workflow requests. Only applicable for Express Workflows.
memory_mb: 128 # Average amount of memory consumed by workflow in MB. Only applicable for Express Workflows.
workflow_duration_ms: 500 # Average duration of workflow in milliseconds. Only applicable for Express Workflows.
aws_waf_web_acl.my_waf:
rule_group_rules: 5 # Total number of Rule Group rules used by the Web ACL.
monthly_requests: 1000000 # Monthly number of web requests received.
aws_wafv2_web_acl.my_waf2:
rule_group_rules: 5 # Total number of Rule Group rules used by the Web ACL.
managed_rule_group_rules: 10 # Total number of Managed Rule Group rules used by the Web ACL.
monthly_requests: 1000000 # Monthly number of web requests received.
#
# Terraform GCP resources
#
google_artifact_registry_repository.my_artifact_registry:
storage_gb: 150 # Total data stored in the repository in GB
monthly_egress_data_transfer_gb: # Monthly data delivered from the artifact registry repository in GB. You can specify any number of Google Cloud regions below, replacing - for _ e.g.:
europe_north1: 100 # GB of data delivered from the artifact registry to europe-north1.
australia_southeast1: 200 # GB of data delivered from the artifact registry to australia-southeast1.
google_bigquery_dataset.my_dataset:
monthly_queries_tb: 100 # Monthly number of bytes processed (also referred to as bytes read) in TB.
google_bigquery_table.usage:
monthly_active_storage_gb: 1000 # Monthly number of active storage modifications in GB.
monthly_long_term_storage_gb: 1000 # Monthly number of long-term storage modifications in GB.
monthly_streaming_inserts_mb: 1000 # Monthly number of streaming data inserts in MB.
monthly_storage_write_api_gb: 1000 # Monthly number of storage write api in GB.
monthly_storage_read_api_tb: 1000 # Monthly number of storage read api in TB.
google_cloud_run_service.throttling_enabled:
monthly_requests: 500000 # Monthly number of requests.
average_request_duration_ms: 3600 # Average duration of each request in milliseconds.
concurrent_requests_per_instance: 1 # Number of concurrent requests per instance.
google_cloud_run_service.throttling_disabled:
instance_hrs: 730 # Number of instance hours used.
google_cloud_run_v2_service.throttling_enabled:
monthly_requests: 500000 # Monthly number of requests.
average_request_duration_ms: 3600 # Average duration of each request in milliseconds.
concurrent_requests_per_instance: 1 # Number of concurrent requests per instance.
google_cloud_run_v2_service.throttling_disabled:
instance_hrs: 730 # Number of instance hours used.
google_cloud_run_v2_job.my_job:
monthly_job_executions: 50000 # Monthly number of job executions.
average_task_execution_mins: 10 # Average duration of each task execution in minutes.
google_cloudfunctions_function.my_function:
request_duration_ms: 300 # Average duration of each request in milliseconds.
monthly_function_invocations: 10000000 # Monthly number of function invocations.
monthly_outbound_data_gb: 100 # Monthly data transferred from the function out to somewhere else in GB.
google_compute_router_nat.my_nat:
assigned_vms: 4 # Number of VM instances assigned to the NAT gateway
monthly_data_processed_gb: 1000 # Monthly data processed (ingress and egress) by the NAT gateway in GB
google_container_cluster.my_cluster:
autopilot_vcpu_count: 10 # Number of vCPUs used by Autopilot pods. Only relevant for Autopilot mode.
autopilot_memory_gb: 50 # Total memory used by Autopilot pods. Only relevant for Autopilot mode.
autopilot_ephemeral_storage_gb: 100 # Total ephemeral storage used by Autopilot pods. Only relevant for Autopilot mode.
nodes: 4 # Node count per zone for the default node pool. Only relevant for Standard mode.
node_pool[0]:
nodes: 2 # Node count per zone for the first node pool. Only relevant for Standard mode.
google_container_node_pool.my_node_pool:
nodes: 4 # Node count per zone for the node pool
google_container_registry.my_registry:
storage_gb: 150 # Total size of bucket in GB.
monthly_class_a_operations: 40000 # Monthly number of class A operations (object adds, bucket/object list).
monthly_class_b_operations: 20000 # Monthly number of class B operations (object gets, retrieve bucket/object metadata).
monthly_data_retrieval_gb: 500 # Monthly amount of data retrieved in GB.
monthly_egress_data_transfer_gb: # Monthly data transfer from Cloud Storage to the following, in GB:
same_continent: 550 # Same continent.
worldwide: 12500 # Worldwide excluding Asia, Australia.
asia: 1500 # Asia excluding China, but including Hong Kong.
china: 50 # China excluding Hong Kong.
australia: 250 # Australia.
google_compute_external_vpn_gateway.my_compute_external_vpn_gateway:
monthly_egress_data_transfer_gb: # Monthly data transfer from VPN gateway to the following, in GB:
worldwide: 12500 # Worldwide excluding China, Australia but including Hong Kong.
china: 8500 # China excluding Hong Kong.
australia: 250 # Australia.
google_compute_vpn_gateway.my_compute_vpn_gateway:
monthly_egress_data_transfer_gb: # Monthly VM-VM data transfer from VPN gateway to the following, in GB:
same_region: 250 # VMs in the same Google Cloud region.
us_or_canada: 100 # From a Google Cloud region in the US or Canada to another Google Cloud region in the US or Canada.
europe: 70 # Between Google Cloud regions within Europe.
asia: 50 # Between Google Cloud regions within Asia.
south_america: 100 # Between Google Cloud regions within South America.
oceania: 50 # Indonesia and Oceania to/from any Google Cloud region.
worldwide: 200 # to a Google Cloud region on another continent.
google_compute_ha_vpn_gateway.my_compute_ha_vpn_gateway:
monthly_egress_data_transfer_gb: # Monthly VM-VM data transfer from VPN gateway to the following, in GB:
same_region: 250 # VMs in the same Google Cloud region.
us_or_canada: 100 # From a Google Cloud region in the US or Canada to another Google Cloud region in the US or Canada.
europe: 70 # Between Google Cloud regions within Europe.
asia: 50 # Between Google Cloud regions within Asia.
south_america: 100 # Between Google Cloud regions within South America.
oceania: 50 # Indonesia and Oceania to/from any Google Cloud region.
worldwide: 200 # to a Google Cloud region on another continent.
google_compute_forwarding_rule.my_forwarding:
monthly_ingress_data_gb: 100
google_compute_global_forwarding_rule.my_global_forwarding:
monthly_ingress_data_gb: 100
google_compute_image.my_image:
storage_gb: 1000 # Total size of image storage in GB.
google_compute_instance.my_instance:
monthly_hrs: 450 # Monthly number of hours the instance ran for.
google_compute_machine_image.my_machine_image:
storage_gb: 1000 # Total size of machine image storage in GB.
google_compute_snapshot.my_snapshot:
storage_gb: 500 # Total size of snapshot disk storage in GB.
google_compute_target_grpc_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_target_http_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_target_https_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_target_ssl_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_target_tcp_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_region_target_http_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_compute_region_target_https_proxy.my_proxy:
monthly_proxy_instances: 10.2
monthly_data_processed_gb: 100
google_dns_record_set.my_record_set:
monthly_queries: 1000000 # Monthly DNS queries.
google_kms_crypto_key.my_keys:
key_versions: 10000 # Number of key versions.
monthly_key_operations: 1000000 # Monthly number of key operations.
google_logging_billing_account_bucket_config.my_config:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_billing_account_sink.my_sink:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_folder_bucket_config.my_config:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_folder_sink.my_sink:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_organization_bucket_config.my.config:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_organization_sink.my_sink:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_project_bucket_config.my_config:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_logging_project_sink.my_sink:
monthly_logging_data_gb: 100 # Monthly logging data in GB.
google_monitoring_metric_descriptor.my_monitoring:
monthly_monitoring_data_mb: 5000 # Monthly monitoring data in MB (only for chargeable metrics).
monthly_api_calls: 1000000 # Monthly read API calls (write calls are free).
google_pubsub_subscription.my_subscription:
monthly_message_data_tb: 7.416 # Monthly amount of message data pulled by the subscription in TB.
storage_gb: 605 # Storage for retaining acknowledged messages in GB.
snapshot_storage_gb: 70.6 # Snapshot storage for unacknowledged messages in GB.
google_pubsub_topic.my_topic:
monthly_message_data_tb: 7.416 # Monthly amount of message data published to the topic in TB.
google_secret_manager_secret.my_secret:
active_secret_versions: 10000 # Number of active secret versions in each month. NOTE: this is used only when secret versions are not defined.
monthly_access_operations: 20000 # Monthly number of access operations
monthly_rotation_notifications: 100 # Monthly number of rotation notifications
google_secret_manager_secret_version.my_secret_version:
monthly_access_operations: 25000 # Monthly number of access operations
google_service_networking_connection.my_connection:
monthly_egress_data_transfer_gb: # Monthly VM-VM data transfer from VPN gateway to the following, in GB:
same_region: 250 # VMs in the same Google Cloud region.
us_or_canada: 100 # From a Google Cloud region in the US or Canada to another Google Cloud region in the US or Canada.
europe: 70 # Between Google Cloud regions within Europe.
asia: 50 # Between Google Cloud regions within Asia.
south_america: 100 # Between Google Cloud regions within South America.
oceania: 50 # Indonesia and Oceania to/from any Google Cloud region.
worldwide: 200 # to a Google Cloud region on another continent.
google_sql_database_instance.my_instance:
backup_storage_gb: 1000 # Amount of backup storage in GB.
google_storage_bucket.my_storage_bucket:
storage_gb: 150 # Total size of bucket in GB.
monthly_class_a_operations: 40000 # Monthly number of class A operations (object adds, bucket/object list).
monthly_class_b_operations: 20000 # Monthly number of class B operations (object gets, retrieve bucket/object metadata).
monthly_data_retrieval_gb: 500 # Monthly amount of data retrieved in GB.
monthly_egress_data_transfer_gb: # Monthly data transfer from Cloud Storage to the following, in GB:
same_continent: 550 # Same continent.
worldwide: 12500 # Worldwide excluding Asia, Australia.
asia: 1500 # Asia excluding China, but including Hong Kong.
china: 50 # China excluding Hong Kong.
australia: 250 # Australia.
#
# Terraform AzureRM resources
#
azurerm_app_configuration.my_configuration:
monthly_additional_requests: 30000 # Monthly number of requests which are above the included 200,000 per day per replica.
azurerm_api_management.my_api_management:
monthly_api_calls: 10000000 # Monthly number of api calls (only for consumption tier).
self_hosted_gateway_count: 5 # Number of self-hosted gateways (only for premium tier).
azurerm_app_service_environment.my_service:
operating_system: linux # Override the operating system of the instance, can be: linux, windows.
azurerm_application_insights.my_insights:
monthly_data_ingested_gb: 1000 # Monthly amount of data ingested in GB.
azurerm_automation_account.my_account:
non_azure_config_node_count: 2 # Number of non-Azure configuration nodes.
monthly_watcher_hrs: 0 # Monthly number of watcher hours.
monthly_job_run_mins: 5 # Monthly number of job run minutes.
azurerm_automation_dsc_configuration.my_configuration:
non_azure_config_node_count: 0 # Number of non-Azure configuration nodes.
azurerm_automation_dsc_nodeconfiguration.my_nodeconfiguration:
non_azure_config_node_count: 0 # Number of non-Azure configuration nodes.
azurerm_application_gateway.my_gateway:
monthly_data_processed_gb: 100000 # Monthly data processed by the Application Gateway in GB.
monthly_v2_capacity_units: 10000 # Number capacity(for v2) units gateway.
azurerm_automation_job_schedule.my_schedule:
monthly_job_run_mins: 0 # Monthly number of job run minutes.
azurerm_bastion_host.my_bastion_host:
monthly_outbound_data_gb: 100000 # Monthly outbound data in GB.
azurerm_databricks_workspace.my_workspace:
monthly_all_purpose_compute_dbu_hrs: 500 # Monthly number of All-purpose Compute Databricks Units in DBU-hours.
monthly_jobs_compute_dbu_hrs: 1000 # Monthly number of Jobs Compute Databricks Units in DBU-hours.
monthly_jobs_light_compute_dbu_hrs: 2000 # Monthly number of Jobs Light Compute Databricks Units in DBU-hours.
azurerm_federated_identity_credential.my_credential:
monthly_active_p1_users: 50100 # Monthly number of active users if you are using the Premium P1 license.
monthly_active_p2_users: 50100 # Monthly number of active users if you are using the Premium P2 license.
azurerm_function_app.my_functions:
monthly_executions: 100000 # Monthly executions to the function. Only applicable for Consumption plan.
execution_duration_ms: 500 # Average duration of each execution in milliseconds. Only applicable for Consumption plan.
memory_mb: 128 # Average amount of memory consumed by function in MB. Only applicable for Consumption plan.
instances: 1 # Number of instances. Only applicable for Premium plan.
azurerm_cdn_endpoint.my_endpoint:
monthly_outbound_gb: 1000000 # Monthly number of outbound data transfers in GB.
monthly_rules_engine_requests: 10000000 # Monthly number of rules engine requests.
azurerm_cognitive_account.my_cognitive_account:
## SpeechServices
monthly_speech_to_text_standard_hrs: 100 # Monthly number of hours of Speech to Text audio hours
monthly_speech_to_text_standard_batch_hrs: 100 # Monthly number of hours of Speech to Text audio hours for batch processing
monthly_speech_to_text_custom_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model
monthly_speech_to_text_custom_batch_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model batch processing
monthly_speech_to_text_custom_endpoint_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model endpoint hosting
monthly_speech_to_text_custom_training_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model training
monthly_speech_to_text_enhanced_add_ons_hrs: 100 # Monthly number of hours of Speech to Text audio hours for enhanced add-on features
monthly_speech_to_text_conversation_transcription_multi_channel_audio_hrs: 100 # Monthly number of hours of Speech to Text audio hours for conversation transcription multi-channel audio
monthly_text_to_speech_neural_chars: 100_000 # Monthly number of characters for Text to Speech with neural voices
monthly_text_to_speech_custom_neural_training_hrs: 100 # Monthly number of hours of Text to Speech Customized Neural training
monthly_text_to_speech_custom_neural_chars: 100_000 # Monthly number of characters for Text to Speech with Custom Ceural Voices
monthly_text_to_speech_custom_neural_endpoint_hrs: 100 # Monthly number of hours of Text to Speech Custom Neural Voice endpoint hosting
monthly_text_to_speech_long_audio_chars: 100_000 # Monthly number of characters for Text to Speech with Long Audio Creation
monthly_text_to_speech_personal_voice_profiles: 10 # Monthly number of personal voice profiles for Text to Speech
monthly_text_to_speech_personal_voice_chars: 100_000 # Monthly number of characters for Text to Speech with Personal Voice Profiles
monthly_speech_translation_hrs: 100 # Monthly number of hours of Speech Translation audio hours
monthly_speaker_verification_transactions: 1_000 # Monthly number of speaker verification transactions
monthly_speaker_identification_transactions: 1_000 # Monthly number of speaker identification transactions
monthly_voice_profiles: 1_000 # Monthly number of voice profiles
# Standard commitment
monthly_commitment_speech_to_text_standard_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours (2,000, 10,000 or 50,000)
monthly_commitment_speech_to_text_standard_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours over the committed amount
monthly_commitment_speech_to_text_custom_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours for Custom Speech Model (2,000, 10,000 or 50,000)
monthly_commitment_speech_to_text_custom_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model over the committed amount
monthly_commitment_speech_to_text_enhanced_add_ons_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours for enhanced add-on features (2,000, 10,000 or 50,000)
monthly_commitment_speech_to_text_enhanced_add_ons_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours for enhanced add-on features over the committed amount
monthly_commitment_text_to_speech_neural_commitment_chars: 80_000_000 # Monthly number of committed characters for Text to Speech with neural voices (80M, 40M or 200M)
monthly_commitment_text_to_speech_neural_overage_chars: 1_000_000 # Monthly number of characters for Text to Speech with neural voices over the committed amount
# Connected container commitment
monthly_connected_container_commitment_speech_to_text_standard_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours (2,000, 10,000 or 50,000)
monthly_connected_container_commitment_speech_to_text_standard_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours over the committed amount
monthly_connected_container_commitment_speech_to_text_custom_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours for Custom Speech Model (2,000, 10,000 or 50,000)
monthly_connected_container_commitment_speech_to_text_custom_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours for Custom Speech Model over the committed amount
monthly_connected_container_commitment_speech_to_text_enhanced_add_ons_hrs: 2000 # Monthly number of committed hours of Speech to Text audio hours for enhanced add-on features (2,000, 10,000 or 50,000)
monthly_connected_container_commitment_speech_to_text_enhanced_add_ons_overage_hrs: 100 # Monthly number of hours of Speech to Text audio hours for enhanced add-on features over the committed amount
monthly_connected_container_commitment_text_to_speech_neural_commitment_chars: 80_000_000 # Monthly number of committed characters for Text to Speech with neural voices (80M, 40M or 200M)
monthly_connected_container_commitment_text_to_speech_neural_overage_chars: 1_000_000 # Monthly number of characters for Text to Speech with neural voices over the committed amountinfracost-usage-example.yml
## LUIS
monthly_luis_text_requests: 1_000 # Monthly number of text requests to LUIS
monthly_luis_speech_requests: 1_000 # Monthly number of speech requests to LUIS
# Standard commitment
monthly_commitment_luis_text_requests: 1_000_000 # Monthly number of committed text requests to LUIS (1M, 5M or 25M)
monthly_commitment_luis_text_overage_requests: 1_000 # Monthly number of text requests to LUIS over the committed amount
# Connected container commitment
monthly_connected_container_commitment_luis_text_requests: 1_000_000 # Monthly number of committed text requests to LUIS (1M, 5M or 25M)
monthly_connected_container_commitment_luis_text_overage_requests: 1_000 # Monthly number of text requests to LUIS over the committed amount
## TextAnalytics / Language
monthly_language_text_analytics_records: 10_000 # Monthly number of Text Analytics records (Sentiment Analysis, Key Phrase Extraction, Language Detection, Named Entity Recognition, PII Detection)
monthly_language_summarization_records: 10_000 # Monthly number of summarization records
monthly_language_conversational_language_understanding_records: 10_000 # Monthly number of Conversational Language Understanding and Orchestration Workflow records.
monthly_language_conversational_language_understanding_advanced_training_hours: 10 # Monthly number of Conversational Language Understanding and Orchestration Workflow advanced training hours.
monthly_language_customized_text_classification_records: 10_000 # Monthly number of customized text classification records.
monthly_language_customized_summarization_records: 10_000 # Monthly number of customized summarization records.
monthly_language_customized_question_answering_records: 10_000 # Monthly number of customized question answering records.
monthly_language_customized_training_hours: 10 # Monthly number of customized training hours.
monthly_language_text_analytics_for_health_records: 10_000 # Monthly number of Text Analytics for health records.
# Standard commitment
monthly_commitment_language_text_analytics_records: 1_000_000 # Monthly number of committed Text Analytics records (1M, 3M or 10M)
monthly_commitment_language_text_analytics_overage_records: 10_000 # Monthly number of Text Analytics records over the committed amount
monthly_commitment_language_summarization_records: 3_000_000 # Monthly number of committed summarization records (3M or 10M)
monthly_commitment_language_summarization_overage_records: 10_000 # Monthly number of summarization records over the committed amount
# Connected container commitment
monthly_connected_container_commitment_language_text_analytics_records: 1_000_000 # Monthly number of committed Text Analytics records (1M, 3M or 10M)
monthly_connected_container_commitment_language_text_analytics_overage_records: 10_000 # Monthly number of Text Analytics records over the committed amount
monthly_connected_container_commitment_language_summarization_records: 3_000_000 # Monthly number of committed summarization records (3M or 10M)
monthly_connected_container_commitment_language_summarization_overage_records: 10_000 # Monthly number of summarization records over the committed amount
azurerm_cognitive_deployment.my_openai_deployment:
monthly_language_input_tokens: 10_000_000 # Monthly number of language input tokens.
monthly_language_output_tokens: 10_000_000 # Monthly number of language output tokens.
monthly_code_interpreter_sessions: 100 # Monthly number of code interpreter sessions.
monthly_base_model_tokens: 1000 # Monthly number of base model tokens.
monthly_fine_tuning_training_hours: 1 # Monthly number of fine-tuning training hours.
monthly_fine_tuning_hosting_hours: 10 # Monthly number of fine-tuning hosting hours.
monthly_fine_tuning_input_tokens: 10_000_000 # Monthly number of fine-tuning input tokens.
monthly_fine_tuning_output_tokens: 10_000_000 # Monthly number of fine-tuning output tokens.
monthly_standard_1024_1024_images: 100 # Monthly number of standard 1024x1024 (low res) images.
monthly_standard_1024_1792_images: 100 # Monthly number of standard 1024x1792 (high res) images.
monthly_hd_1024_1024_images: 100 # Monthly number of HD 1024x1024 (low res) images.
monthly_hd_1024_1792_images: 100 # Monthly number of HD 1024x1792 (high res) images.
monthly_text_embedding_tokens: 1_000_000_000 # Monthly number of text embedding tokens.
monthly_text_to_speech_characters: 10_000_000 # Monthly number of text to speech characters.
monthly_text_to_speech_hours: 100 # Monthly number of text to speech hours.
azurerm_cosmosdb_cassandra_keyspace.my_cassandra_keyspace:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_cassandra_table.my_cassandra_table:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_gremlin_database.my_gremlin_database:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_gremlin_graph.my_gremlin_graph:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_mongo_collection.my_mongo_collection:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_mongo_database.my_mongo_database:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_sql_container.my_sql_container:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_sql_database.my_sql_database:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_cosmosdb_table.my_table:
storage_gb: 1000 # Total size of storage in GB.
monthly_serverless_request_units: 10000000 # Monthly number of serverless request units.
monthly_restored_data_gb: 3000 # Monthly total amount of point-in-time restore data in GB.
monthly_analytical_storage_write_operations: 1000000 # Monthly number of write analytical storage operations.
monthly_analytical_storage_read_operations: 1000000 # Monthly number of read analytical storage operations.
max_request_units_utilization_percentage: 50 # Average utilisation of the maximum RU/s, starting at 10%. Possible values from 10 to 100.
azurerm_data_factory.my_data_factory:
monthly_read_write_operation_entities: 100000 # Monthly entities for Read/Write operations.
monthly_monitoring_operation_entities: 25000 # Monthly entities for Monitoring operations.
azurerm_data_factory_integration_runtime_azure.my_runtime:
monthly_orchestration_runs: 10000 # Monthly Orchestration runs for runtime.
azurerm_data_factory_integration_runtime_managed.my_runtime:
monthly_orchestration_runs: 10000 # Monthly Orchestration runs for runtime.
azurerm_data_factory_integration_runtime_self_hosted.my_runtime:
monthly_orchestration_runs: 10000 # Monthly Orchestration runs for runtime.
azurerm_dns_a_record.my_a_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_aaaa_record.my_aaaa_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_caa_record.my_caa_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_cname_record.my_cname_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_mx_record.my_mx_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_ns_record.my_ns_record:
monthly_queries: 1500000000 # Monthly number of DNS queries
azurerm_dns_ptr_record.my_ptr_record: