Docs Menu
Docs Home
/
MongoDB Atlas
/
Reference
/
Cloud Providers

Google Cloud Platform (GCP)

On this page

  • Cluster Configuration Options
  • Custom Storage Size
  • GCP Zones
  • Regions with at Least Three Zones
  • Dedicated Search Nodes
  • Supported Regions
  • Available Search Tiers
  • Integrations
  • Networking Services
  • Security and Identity Services
  • Procurement
  • More Information

Atlas supports deploying clusters and Serverless instances onto Google Cloud Platform (GCP).

Atlas supports the following Google Cloud regions. While all of the following regions support dedicated clusters (M10+), some regions don't support free and Shared clusters (M0/M2/M5) or Serverless instances. The Atlas API uses the corresponding Atlas Region.

Google Cloud Region
Location
Atlas Region
M0/M2/M5 Support
Flex Support
M10+ Support
Serverless Instance Support
us-central1
Iowa, USA
CENTRAL_US
us-east4
North Virginia, USA
US_EAST_4
us-east5
Columbus, OH, USA
US_EAST_5
northamerica-northeast1
Montreal, Canada
NORTH_AMERICA_NORTHEAST_1
northamerica-northeast2
Toronto, Canada
NORTH_AMERICA_NORTHEAST_2
southamerica-east1
Sao Paulo, Brazil
SOUTH_AMERICA_EAST_1
southamerica-west1
Santiago, Chile
SOUTH_AMERICA_WEST_1
us-west1
Oregon, USA
WESTERN_US
us-west2
Los Angeles, CA, USA
US_WEST_2
us-west3
Salt Lake City, UT, USA
US_WEST_3
us-west4
Las Vegas, NV, USA
US_WEST_4
us-south1
Dallas, TX, USA
US_SOUTH_1
GCP Region
Location
Atlas Region
M0/M2/M5 Support
Flex Support
M10+ Support
Serverless Instance Support
asia-east1
Taiwan
EASTERN_ASIA_PACIFIC
asia-east2
Hong Kong, China
ASIA_EAST_2
asia-northeast1
Tokyo, Japan
NORTHEASTERN_ASIA_PACIFIC
asia-northeast2
Osaka, Japan
ASIA_NORTHEAST_2
asia-northeast3
Seoul, Korea
ASIA_NORTHEAST_3
asia-southeast1
Singapore
SOUTHEASTERN_ASIA_PACIFIC
asia-south1
Mumbai, India
ASIA_SOUTH_1
asia-south2
Delhi, India
ASIA_SOUTH_2
australia-southeast1
Sydney, Australia
AUSTRALIA_SOUTHEAST_1
australia-southeast2
Melbourne, Australia
AUSTRALIA_SOUTHEAST_2
asia-southeast2
Jakarta, Indonesia
ASIA_SOUTHEAST_2
GCP Region
Location
Atlas Region
M0/M2/M5 Support
Flex Support
M10+ Support
Serverless Instance Support
europe-west1
Belgium
WESTERN_EUROPE
europe-north1
Finland
EUROPE_NORTH_1
europe-west2
London, UK
EUROPE_WEST_2
europe-west3
Frankfurt, Germany
EUROPE_WEST_3
europe-west4
Netherlands
EUROPE_WEST_4
europe-west6
Zurich, Switzerland
EUROPE_WEST_6
europe-west10
Berlin, Germany
EUROPE_WEST_10
europe-central2
Warsaw, Poland
EUROPE_CENTRAL_2
europe-west8
Milan, Italy
EUROPE_WEST_8
europe-west9
Paris, France
EUROPE_WEST_9
europe-west12
Turin, Italy
EUROPE_WEST_12
europe-southwest1
Madrid, Spain
EUROPE_SOUTHWEST_1
GCP Region
Location
Atlas Region
M0/M2/M5 Support
Flex Support
M10+ Support
Serverless Instance Support
me-west1
Tel Aviv, Israel
MIDDLE_EAST_WEST_1
me-central1
Doha, Qatar
MIDDLE_EAST_CENTRAL_1
me-central2
Dammam, Saudi Arabia
MIDDLE_EAST_CENTRAL_2

Cluster Configuration Options

Each Atlas cluster tier comes with a default set of resources. Atlas provides the following resource configuration options.

Custom Storage Size

Storage size reflects the size of the server root volume. Atlas clusters deployed onto Google Cloud use SSD persistent storage [1].

Note

RAM Availability

The actual amount of RAM available to each cluster tier might be slightly less than the stated amount, due to memory that the kernel reserves.

The following cluster tiers are available:

Cluster Tiers
Storage Range
Default Storage
Default RAM
M0
.5 GB
.5 GB
Shared
M2
2 GB
2GB
Shared
M5
5 GB
5 GB
Shared
M10
10 GB to 128 GB
10 GB
1.7 GB
M20
10 GB to 256 GB
20 GB
3.8 GB
M30
10 GB to 512 GB
40 GB
8 GB
M40
10 GB to 1 TB
80 GB
16 GB
R40
10 GB to 1 TB
80 GB
16 GB
M50
10 GB to 4 TB
160 GB
32 GB
R50
10 GB to 4 TB
160 GB
32 GB
M60
10 GB to 4 TB
320 GB
64 GB
R60
10 GB to 4 TB
320 GB
64 GB
M80
10 GB to 4 TB
750 GB
128 GB
R80
10 GB to 4 TB
750 GB
128 GB
M140
10 GB to 4 TB
1000 GB
192 GB
M200
10 GB to 4 TB
1500 GB
256 GB
R200
10 GB to 4 TB
1500 GB
256 GB
M250
10 GB to 4 TB
1750 GB
320 GB
M300
10 GB to 4 TB
2000 GB
360 GB
R300
10 GB to 4 TB
2000 GB
384 GB
R400
10 GB to 4 TB
3000 GB
512 GB
R600
10 GB to 4 TB
4096 GB
640 GB

Can use this tier for a multi-cloud cluster.

Unavailable in the following regions:

  • AUSTRALIA_SOUTHEAST_1

  • EUROPE_WEST_3

  • NORTHEASTERN_ASIA_PACIFIC

  • SOUTH_AMERICA_EAST_1

  • EUROPE_WEST_8

  • EUROPE_WEST_9

  • EUROPE_SOUTHWEST_1

Atlas limits R-class instances to the following regions:

Americas

  • CENTRAL_US

  • EASTERN_US

  • US_EAST_4

  • WESTERN_US

  • US_WEST_3

  • US_WEST_4

  • NORTH_AMERICA_NORTHEAST_1

  • NORTH_AMERICA_NORTHEAST_2

  • SOUTH_AMERICA_EAST_1

Asia Pacific

  • ASIA_EAST_2

  • ASIA_NORTHEAST_2

  • ASIA_NORTHEAST_3

  • ASIA_SOUTH_1

  • ASIA_SOUTHEAST_2

  • EASTERN_ASIA_PACIFIC

  • NORTHEASTERN_ASIA_PACIFIC

  • SOUTHEASTERN_ASIA_PACIFIC

Europe

  • WESTERN_EUROPE

  • EUROPE_NORTH_1

  • EUROPE_WEST_2

  • EUROPE_WEST_3

  • EUROPE_WEST_4

  • EUROPE_WEST_6

  • EUROPE_WEST_8

  • EUROPE_WEST_9

  • EUROPE_SOUTHWEST_1

Note

Cluster Tier & API Naming Conventions

For purposes of management with the Atlas Administration API, cluster tier names that are prepended with R instead of an M (R40 for example) run a low-CPU version of the cluster. When creating or modifying a cluster with the API, be sure to specify your desired cluster class by name with the providerSettings.instanceSizeName attribute.

Important

Multi-Cloud Low-CPU clusters

Low-CPU cluster tiers (R40, R50, R60, etc) are available in multi-cloud cluster configurations as long as the cluster tier is available for all the regions that the cluster uses.

Workloads typically require less than 2TB of storage.

Atlas configures the following resources automatically and does not allow user modification:

  • Storage Speed

  • Encrypted Storage Volumes

Storage Speed

Storage speed is the number of input/output operations per second (IOPS) [1] that the system performs. This value is fixed at:

  • 30 IOPS per GB for reads

  • 30 IOPS per GB for writes, for a total of 60 IOPS per GB

For example, an M30 cluster with 40 GB of default storage has a maximum read speed of 1,200 IOPS and a maximum write speed of 1,200 IOPS. If you increase the storage size to 100 GB per cluster, this increases the maximum read speed by 3,000 IOPS and a maximum write speed by 3,000 IOPS.

IOPS smaller than 16B are counted as one IO. IOPS larger than 16KB are counted as multiple IOs. For example, a 128KB IO counts as eight IOs.

Encrypted Storage Volumes

Google Cloud storage volumes are always encrypted.

GCP Zones

Each Google Cloud region includes a set number of independent zones. Each zone has power, cooling, networking, and control planes that are isolated from other zones.

For regions that have multiple zones, such as 2Z (for two zones) or 3Z (for 3 zones), Atlas deploys clusters across these zones.

The Atlas Add New Cluster form marks regions that support 3Z clusters as Recommended, as they provide higher availability.

To learn more, see regions and zones in the Google documentation.

The number of zones in a region has no effect on the number of MongoDB nodes Atlas can deploy. MongoDB Atlas clusters are always made of replica sets with a minimum of three MongoDB nodes.

Regions with at Least Three Zones

If the selected Google Cloud region has at least three zones, Atlas clusters are split across three zones. For example, a three node replica set cluster would have one node deployed onto each zone.

A 3-node replica set deployed across a 3-zone GCP region.
click to enlarge

3Z clusters have higher availability compared to 2Z clusters. However, not all regions support 3Z clusters.

[1](1, 2, 3) To learn more, see Storage Options in the Google documentation.

Dedicated Search Nodes

Supported Regions

Atlas supports deploying separate Search Nodes for M10 and higher clusters in any Google Cloud region.

Available Search Tiers

Atlas provides different search tiers for Search Nodes deployed on Google Cloud. These search tiers are available for each class of hardware, low-CPU or high-CPU:

Instance Size
Instance Details
S30

  • Default RAM: 8 GB

  • Default Storage: 120 GB

  • vCPU: 2

S40

  • Default RAM: 16 GB

  • Default Storage: 375 GB

  • vCPU: 2

S50

  • Default RAM: 32 GB

  • Default Storage: 375 GB

  • vCPU: 4

S60

  • Default RAM: 64 GB

  • Default Storage: 375 GB

  • vCPU: 8

S80

  • Default RAM: 128 GB

  • Default Storage: 750 GB

  • vCPU: 16

S90

  • Default RAM: 256 GB

  • Default Storage: 1500 GB

  • vCPU: 32

S100

  • Default RAM: 384 GB

  • Default Storage: 3000 GB

  • vCPU: 48

S110

  • Default RAM: 512 GB

  • Default Storage: 3000 GB

  • vCPU: 64

S120

  • Default RAM: 640 GB

  • Default Storage: 6000 GB

  • vCPU: 80

S130

  • Default RAM: 768 GB

  • Default Storage: 6000 GB

  • vCPU: 96

S140

  • Default RAM: 864 GB

  • Default Storage: 6000 GB

  • vCPU: 128

Instance Size
Instance Details
S20

  • Default RAM: 4 GB

  • Default Storage: 118 GB

  • vCPU: 2

S30

  • Default RAM: 8 GB

  • Default Storage: 375 GB

  • vCPU: 4

S40

  • Default RAM: 16 GB

  • Default Storage: 375 GB

  • vCPU: 8

S50

  • Default RAM: 32 GB

  • Default Storage: 750 GB

  • vCPU: 16

S60

  • Default RAM: 64 GB

  • Default Storage: 1500 GB

  • vCPU: 32

S70

  • Default RAM: 96 GB

  • Default Storage: 3000 GB

  • vCPU: 48

S80

  • Default RAM: 128 GB

  • Default Storage: 3800 GB

  • vCPU: 64

Note

Most Search Nodes use NVMe-attached Local SSD disks for storage. Search nodes with the following search tiers use SCSI-attached SSD Persistent Disks [1]:

  • S20 High-CPU Instances

  • S30 Low-CPU Instances

Integrations

Along with global region support, the following product integrations enable applications running on Google Cloud, such as Google Compute Engine, Google Cloud Functions, Google Cloud Run, and Google App Engine, to use Atlas instances easily and securely.

Networking Services

Security and Identity Services

Procurement

More Information

For more information on how to use Google Cloud with Atlas most effectively, review the following best practices, guides, and case studies:

Back

Amazon Web Services

Next

Microsoft Azure