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Manage Clusters

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  • View Your Clusters
  • Select Cluster Tier
  • Shared Clusters
  • Dedicated Clusters for Low-Traffic Applications
  • Dedicated Clusters for High-Traffic Applications
  • NVMe Storage
  • Free, Shared, and Dedicated Cluster Comparison
  • Take the Next Steps

Use the following resources to configure and manage Atlas clusters. These settings don't apply to serverless instances.

Select your preferred cluster tier. The cluster tier dictates the memory, storage, and IOPS specification for each data-bearing server [1] in the cluster.

Note

You might see different values depending on your selected cloud provider and region.

Use Shared clusters as economical clusters for getting started with MongoDB and for low-throughput applications. These clusters deploy to a shared environment with access to a subset of Atlas features. To learn more about shared cluster limitations, see Atlas M0 (Free Cluster), M2, and M5 Limitations.

You can deploy one M0 cluster (free sandbox replica set cluster) per Atlas project. You can upgrade an M0 free cluster to an M2+ shared cluster at any time.

M2 and M5 clusters (low-cost shared clusters) provide the following added features compared to M0 clusters:

  • Backups for your cluster data

  • Increased storage

  • API access

M10 and M20 cluster tiers support development environments and low-traffic applications.

These clusters support replica set deployments only, but otherwise provide full access to Atlas features.

Note

M10 and M20 cluster tiers run on a burstable performance infrastructure.

M30+ cluster tiers support production environments with high-traffic applications and large datasets.

These clusters support replica set and sharded cluster deployments with full access to Atlas features.

Some clusters have variants, denoted by the character. When you select these clusters, Atlas lists the variants and tags each cluster to distinguish their key characteristics.

For applications hosted on AWS or Azure that require low-latency and high-throughput I/O, Atlas offers storage options using locally attached ephemeral NVMe SSDs.

Note

Atlas doesn't support NVMe clusters on Google Cloud.

The following cluster tiers support NVMe clusters on AWS:

  • M40

  • M50

  • M60

  • M80

  • M200

  • M400

The following cluster tiers support NVMe clusters on Azure:

  • M60

  • M80

  • M200

  • M300

  • M400

  • M600

Atlas supports NVMe clusters in the following Azure regions:

The fixed-value storage space and RAM for an NVMe cluster corresponds to its cluster tier. To learn more, see Amazon Cluster Configuration Options and Azure Cluster Configuration Options.

Clusters with NVMe storage use Cloud Backups. You can't disable backup on NVMe clusters. If you want to use hourly backups, Atlas limits backups on NVMe clusters to once every 12 hours.

NVMe clusters use a hidden secondary node that consists of a provisioned volume with high throughput and IOPS to facilitate backup.

You can't pause an NVMe cluster.

Note

NVMe clusters auto-scale to the next higher tier when 90% of the available storage space is consumed, and the migration requires an initial sync.

NVMe clusters in the following Azure regions have two Availability Zones:

  • eastus2

  • centralus

  • southcentralus

NVMe clusters in all other Azure regions that indicate Availability Zones have three Availability Zones.

The following table highlights key differences between an M0 Free Tier cluster, an M2 or M5 shared cluster, and an M10+ dedicated cluster.

Free Cluster (M0)
Shared Cluster (M2 and M5)
Dedicated Cluster (M10 and larger)
Storage (Data Size + Index Size)
512 MB
M2: 2 GB
M5: 5 GB
10 - 4000 GB
MongoDB Version Support
5.0
5.0
4.2, 4.4, 5.0, Latest Release
Metrics and Alerts
Limited
Limited
VPC Peering
No
No
Global Region Selection
Atlas supports deploying M0 clusters in a subset of regions in AWS, Google Cloud, and Azure.
Atlas supports deploying M2 and M5 clusters in a subset of regions in AWS, Google Cloud, and Azure.
Atlas supports deploying clusters globally on Amazon Web Services, Google Cloud Platform, and Microsoft Azure
Cross-Region Deployments
No
No
Yes. Specify additional regions for high availability or local reads when creating or scaling a cluster.
Backups
No
Yes, including queryable backups
Sharding
No
No
Yes, for clusters using an M30+ tier
Dedicated Cluster
No, M0 free clusters run in a shared environment
No, M2 and M5 clusters run in a shared environment
Yes, M10+ clusters deploy each mongod process to its own instance.
Performance Advisor
No
No
Yes

BI Connector for Atlas

No
No
Yes

For a complete list of M0 free cluster, M2, and M5 limitations, see Atlas M0 (Free Cluster), M2, and M5 Limitations.

Tip

See also:

[1] For replica sets, the data-bearing servers are the servers hosting the replica set nodes. For sharded clusters, the data-bearing servers are the servers hosting the shards. For sharded clusters, Atlas also deploys servers for the config servers; these are charged at a rate separate from the cluster costs.

You can manage clusters in the following ways:

Action
Description
Customize the storage capacity of your cluster. Each cluster tier comes with a default set of resources. M10+ clusters provide the ability to customize your storage capacity.
Configure the cluster tier ranges that Atlas uses to automatically scale your cluster tier, storage capacity, or both in response to cluster usage.
Configure additional cluster settings such as MongoDB version, backup, and encryption options.
Reconfigure an existing cluster. Modify any of the available Atlas configuration options.
Manage major version upgrades for your cluster. Atlas enables you to upgrade the major version of an Atlas cluster at any time.
Configure maintenance windows for your cluster. You can set the hour of the day that Atlas should start weekly maintenance on your cluster.
Pause, resume, or terminate an existing cluster. You can't change the configuration of a paused cluster. Also, you can't read data from or write data to a paused cluster.
Configure multi-cloud distribution for increased availability. Atlas offers options to improve the availability and workload balancing of your cluster.
Use replica set tags to direct queries from specific applications to desired node types and regions. To use replica set tags in your connection string and direct queries to desired nodes, set the tag in the readPreferenceTags connection string option.
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