Customize Cluster Storage
On this page
- Cluster Class
- Low CPU Class
- NVMe Storage
- Storage Capacity
- Oplog Size Behavior
- Change Storage Capacity or IOPS on AWS
- Change Storage Capacity on Azure
- Change Storage Capacity on Google Cloud
- Change Storage Capacity for Multi-Cloud Provider Clusters
- IOPS (AWS Only)
- Provisioned IOPS vs Standard IOPS in AWS
- Configure the IOPS Rate
- Minimum Disk Capacity to RAM Ratios
- Auto-Scale Cluster Tier and Storage Capacity
Each cluster tier comes with a default set of resources.
M10+
clusters provide the ability to customize
your storage capacity.
Atlas provides the following storage configuration options, depending on the selected cloud provider and cluster tier.
Cluster Class
M40+
clusters offer multiple options, including:
Low CPU
General
Local NVMe SSD
All production environments can use the General option.
Select the Class box with your preferred speed. Changes to cluster class affect cost.
Low CPU Class
Generally, the Low CPU option offers a lower-cost
alternative for applications that require more memory and fewer CPUs.
This option includes half the vCPUs of an instance with the
General option of the same tier. For example, a
General M40
instance includes 4 vCPUs, while a
Low CPU M40
instance includes 2 vCPUs. Depending on the
cluster tier, this option may also include fewer max connections. To
learn more, see Connection Limits and Cluster Tier.
NVMe Storage
You can select the Local NVMe SSD storage option for some dedicated clusters that run on AWS or Azure. Locally attached ephemeral NVMe SSDs offer the highest level of speed and performance.
File Copy Based Initial Sync is enabled for dedicated clusters with NVMe running on MongoDB 6.0+.
Note
Atlas doesn't support NVMe clusters on Google Cloud.
Storage Capacity
To change the server data volume size, do one of the following tasks:
Specify the exact disk size in the text box.
Move the slide bar until the text box displays your preferred disk size.
For Azure-specific instructions, see Change Storage Capacity on Azure.
Changes to storage capacity affect cost.
Note
MongoDB uses a small portion of your specified storage capacity for buffer files, journal files, and log files to ensure proper cluster operation. In no-overwrite storage engines like the WiredTiger storage engine, you should expect to use approximately 20% more disk space than your compressed data occupies.
Oplog Size Behavior
Atlas manages the cluster's oplog size and its entries differently, depending on whether storage auto-scaling is enabled for the cluster.
Atlas enables cluster storage auto-scaling by default. If you choose to use storage auto-scaling, Atlas manages the oplog entries based on the minimum oplog retention window (oplogMinRetentionHours) setting. The oplog entries are time-stamped. The oplog window is the time difference between the newest and the oldest timestamps in the oplog.
By default, Atlas sets the minimum oplog retention window to 24 hours. This means that, unless you set the minimum oplog retention window to a particular custom value, the
mongod
for the Atlas cluster retains all oplog entries for at least 24 hours and until the oplog reaches the maximum size that MongoDB best practices permit.You can set the minimum oplog retention window to a particular value in the Atlas UI. For storage auto-scaling to complete successfully, Atlas requires the minimum oplog retention window (oplogMinRetentionHours) up to (60 seconds) * (GB of disk space configured).
You can opt out of cluster storage auto-scaling by un-checking the Storage Scaling checkbox in the Auto-scale section. If you opt out of storage auto-scaling, Atlas manages the oplog size as follows:
If you don't specify the oplog size in the UI, Atlas sets the oplog size to:
5% of the disk size when you create a cluster, for General and Low-CPU clusters
10% of the disk size for clusters with NVMe storage.
Atlas doesn't change the oplog size if you change the storage size.
You may choose to scale up the oplog size when you scale up the cluster's storage. In this case, manually set the oplog size to a particular value when you create a cluster. As you increase the cluster's storage, Atlas scales the oplog size as follows:
For General and Low-CPU clusters, the oplog size scales up to remain at 5% of the storage capacity, not to exceed a certain maximum determined according to MongoDB best practices.
For clusters with NVMe storage, the oplog size scales up to remain at 10% of the storage capacity, not to exceed a certain maximum determined according to MongoDB best practices.
If the cluster's storage capacity decreases, Atlas doesn't change the oplog size.
Change Storage Capacity or IOPS on AWS
Atlas handles changes differently based on whether you want to increase or decrease storage capacity or storage throughput (IOPS) on AWS.
Increase Capacity or Throughput
If previous changes are completed, AWS usually takes about six hours to increase storage capacity or IOPS. However, this time frame can vary depending on the data size stored on disk. To learn more, see the AWS documentation. Atlas supports more changes within the time frame for volume modification changes.
How Atlas handles additional changes within the time frame for volume modification changes depends on the size of your hosts' data volumes and the time when you make the change.
For the first change, Atlas modifies data volumes in place without downtime.
For later changes:
Data Volume SizeTime Since Last Storage ChangeAction Atlas TakesLess than 1TBLess than 5h30mAtlas provisions new volumes and syncs the data from the old volumes. If Atlas provisions new volumes, you can access your cluster. You can't access nodes that AWS modifies until AWS attaches the new volume.Less than 1TBMore than 5h30mAtlas waits until the volume modification takes effect, then modifies the hosts' data volumes in place without downtime.More than 1TBAnyAtlas waits until the volume modification takes effect, then modifies the hosts' data volumes in place without downtime. This takes less time than provisioning new volumes and syncing data from the old to the new volumes.
Before you apply your storage capacity or IOPS increases, the Review Changes page describes how Atlas approaches the increase.
The Database Deployments page displays a banner if Atlas waits until a six-hour window closes before modifying your cluster's storage capacity or IOPS.
These behaviors apply when Atlas changes capacity during auto-scaling.
To learn more about AWS's limitations, see the AWS documentation.
Decrease Capacity or Throughput
AWS doesn't allow you to reduce storage capacity in place.
Atlas can reduce storage capacity in place. Atlas provisions new volumes then syncs data from the old to the new volumes. This works around the AWS limitation.
AWS does allow you to reduce IOPS without migrating data.
Change Storage Capacity on Azure
For clusters deployed on Azure, you can change storage capacity in preset amounts only. To change server data volume size:
Specify your preferred disk size in the text box.
Move the slide bar until the text box displays your preferred disk size.
Note
Atlas rounds the disk size to the nearest preset amount.
When you change a cluster's storage capacity, Atlas modifies the size of the servers' data volumes in a rolling manner with zero downtime. Atlas increases the storage capacity in place without copying data or performing an initial sync.
However, Azure doesn't allow in-place storage capacity downgrades. If you downgrade the storage capacity of a cluster, Atlas replaces each node and performs an initial sync for each node in the cluster.
Note
An initial sync copies data across the network and rebuilds all indexes.
During this time, you can still access your cluster, but each node that Azure modifies remains unavailable until the initial sync for that node completes.
Important
For large clusters, initial syncs for each node might take several hours to complete.
Before you apply your storage capacity changes, the Review Changes page notifies you that Atlas triggers a rolling restart of your cluster when you make this change.
Change Storage Capacity on Google Cloud
When you change a cluster's storage capacity, Atlas modifies the size of the servers' data volumes in a rolling manner with zero downtime.
Atlas increases the storage capacity in place without copying data or performing an initial sync. However, Google Cloud doesn't allow in-place storage capacity downgrades.
If you downgrade the storage capacity of a cluster, Atlas provisions new volumes, and then syncs data from the old to the new volumes.
Before you apply your storage capacity changes, the Review Changes page notifies you that Atlas triggers a rolling restart of your cluster when you make this change.
Change Storage Capacity for Multi-Cloud Provider Clusters
Atlas selects the lowest common denominator across the three cloud providers. This ensures consistency across the multi-cloud deployment.
The following limitations might apply:
You can't adjust the IOPS for your multi-cloud cluster.
If your multi-cloud cluster includes Azure, you can change storage capacity in preset amounts only. See Change Storage Capacity on Azure.
IOPS (AWS Only)
AWS-backed M30+
clusters offer the option to provision IOPS.
Provisioned IOPS vs Standard IOPS in AWS
Provisioned IOPS let you customize the maximum IOPS rate for your cluster. They also:
Deliver their configured IOPS rate more consistently when compared to standard IOPS.
Lower your cluster's p90 latency (measurement of the server's response time). 90 percent of server requests have responses faster than the p90 latency value, so a lower p90 latency value means a generally faster response time.
To learn more about the merits of using provisioned vs standard IOPS, see Amazon EBS-optimized instances. See the following summary:
General Purpose SSD volumes are designed to deliver their baseline performance 99% of the time.
Provisioned IOPS SSD volumes are designed to deliver their provisioned performance 99.9% of the time.
Note
Changes to IOPS provisioning affects characteristics, performance, and cost. When you select Provision IOPS, the storage changes from General Purpose SSD volumes to Provisioned IOPS SSD volumes.
Configure the IOPS Rate
Standard IOPS
If you do not select the Provision IOPS option when you create your M30+
tier
cluster, the cluster uses standard IOPS. The default standard IOPS
rate changes as the cluster's storage capacity changes. If you want to
provision an exact IOPS value, enable provisioning.
The minimum standard IOPS for M30+
tier clusters is 3000.
The standard IOPS value remains at 3000 unless you set the cluster storage size
to 1TB or more. If the storage for your M30+
cluster meets or exceeds 1TB,
Atlas increases the standard IOPS rate using an IOPS to a storage
ratio of 3:1, up to 16k
IOPS for AWS network storage volumes.
Local NVMe SSD class clusters must use standard IOPS.
Provisioned IOPS
To provision IOPS for your M30+
tier cluster, select Provision
IOPS and either:
Specify the exact IOPS rate in the text box, or
Move the slide bar until the text box displays your preferred IOPS rate.
Note
The available provisioned IOPS range for a cluster relates to disk storage capacity. Changing your cluster's storage capacity changes the range of available provisioned IOPS.
Minimum Disk Capacity to RAM Ratios
Atlas enforces the following minimum ratios for given cluster tiers. This keeps cluster performance consistent with large datasets.
Instance sizes M10 to M40 have a ratio of disk capacity to system memory of 60:1. Instance sizes greater than M40 have a ratio of 120:1.
Example
To support 3 TB (or 3,072 GB) of disk capacity, select a cluster tier with a minimum of 32 GB of RAM. This would be M50 or greater.
Atlas has disk capacity limits on single replica sets, scaling up to 4 TB for higher cluster tiers. To expand the total cluster storage beyond default limits, you can enable extended storage in the Project Settings. To accommodate further scaling in the future, we recommend that you enable sharding for long-term expansion.
Tip
See also:
To learn more about the default resources and available configuration options for each cloud service provider, see:
Auto-Scale Cluster Tier and Storage Capacity
Note
Feature Availability
Atlas enables Cluster Auto-Scaling for all cluster tiers (except the highest cluster tier) under the General and the Low-CPU tier clusters.
For new clusters, Atlas automatically enables cluster tier auto-scaling and storage auto-scaling.
Use Auto-scale options to configure your cluster to automatically scale your {+cluster tier+}, storage capacity, or both in response to cluster usage.
Important
During a migration, if you restore a snapshot with a larger size than the storage capacity of the destination cluster, the cluster does not automatically scale.
You can opt out of cluster tier and storage auto-scaling. To learn more, see How Atlas Scales Cluster Tier and How Atlas Scales Cluster Storage.