This page describes quotas and request limits for Cloud Storage. You can request increases to quotas, but limits cannot be adjusted.
Quotas and limits are subject to change.
There is a limit to the size of bucket names of 63 characters if the name does not contain a dot (.) and 222 characters if the bucket contains a dot.
There is a per-project rate limit to bucket creation and deletion of approximately 1 request every 2 seconds, so plan on fewer buckets and more objects in most cases. For example, a common design choice is to use one bucket per user of your project. However, if you're designing a system that adds many users per second, then design for many users in one bucket (with appropriate permissions) so that the bucket creation rate limit doesn't become a bottleneck.
Highly available applications should not depend on bucket creation or deletion in the critical path of their application. Bucket names are part of a centralized and global namespace: any dependency on this namespace creates a single point of failure for your application. Due to this and the 1 request per 2-second limit mentioned above, the recommended practice for highly available services on Cloud Storage is to pre-create all the buckets necessary.
There is an update limit on each bucket of once per second, so rapid updates to a single bucket (for example, changing the CORS configuration) won't scale.
There is a limit of 100 principals holding legacy IAM roles per bucket and a limit of 1500 principals holding all IAM roles per bucket. Examples of principals include individual users, groups, and domains. See IAM identities.
For buckets with Pub/Sub notifications:
The bucket can have up to 100 total notification configurations.
The bucket can have up to 10 notification configurations set to trigger for a specific event.
Each notification configuration can have up to 10 custom attributes.
There is a maximum size limit of 5 TiB for individual objects stored in Cloud Storage.
- The maximum size of a single upload request is also 5 TiB. For uploads that would take a long time over your connection, consider using resumable uploads in order to recover from intermediate failures. See Resumable uploads for more information.
There is a maximum combined size limit for all custom metadata keys and values of 8 KiB per object.
There is a limit to the size of object names of 1024 bytes.
There is a write limit to the same object name of once per second, so rapid writes to the same object name won't scale. For more information, see Object immutability.
There is no limit to the number of writes across an entire bucket, which includes uploading, updating, and deleting objects. Buckets initially support roughly 1000 writes per second and then scale as needed.
There is no limit to the number of reads for objects in a bucket, which includes reading object data, reading object metadata, and listing objects. Buckets initially support roughly 5000 object reads per second and then scale as needed. Note that there are, however, bandwidth limits.
For object composition:
Up to 32 objects can be composed in a single composition request.
While there is no limit to the number of components that make up a composite object, the
componentCountmetadata associated with a composite object saturates at 2,147,483,647.
Composite objects are subject to the overall 5 TiB size limit for objects stored in Cloud Storage.
JSON API requests
For batch requests:
The total request payload must be less than 10MB.
Do not include more than 100 calls in a single request.
XML API requests
When sending requests through the XML API, there is a limit on the combined size of the request URL and HTTP headers of 16 KB.
When listing resources with the XML API, there is a limit of 1000 items that get returned.
When performing an XML API multipart upload, the following limits apply:
- A multipart upload can have up to 10,000 parts.
- An individual part has a maximum size limit of 5 GiB.
- An individual part has a minimum size limit of 5 MiB, unless it's the last part, which has no minimum size limit.
- Objects assembled from a multipart upload are subject to the overall 5 TiB size limit for objects stored in Cloud Storage.
- There is no limit to how long a multipart upload and its uploaded parts can remain unfinished or idle in a bucket.
- There is no limit to the number of different multipart uploads that can be simultaneously occurring for an object.
HMAC keys for service accounts
- There is a limit of 5 HMAC keys per service account. Deleted keys do not count towards this limit.
There is a default bandwidth quota for each region that has data egress from Cloud Storage to Google services of 200 Gbps per project. Egress to Cloud CDN is exempt from this quota.
Data egress from Cloud Storage dual-regions to Google services counts towards the quota of one of the regions that make up the dual-region. For example, if a Compute Engine instance in
us-central1reads data from a bucket in the
nam4dual-region, the bandwidth usage is counted as part of the overall quota for the
You can request a quota increase for regions on a per-project basis. If you want a quota increase for a dual-region, your increase request should be made for one or both of the regions that make up the dual-region.
There is a per-project, per-region default bandwidth quota of 50 Gbps for Google services accessing data from buckets in a given multi-region. Cloud CDN is exempt from this quota.
For example, say the project
my-projecthas several Compute Engine instances in
us-east1and several Compute Engine instances in
us-east1instances have a combined 50 Gbps bandwidth quota when reading data from buckets in the
us-west1instances have a separate 50 Gpbs bandwidth quota when reading from buckets in the
We strongly recommend that you use buckets located in regions or dual-regions for workloads with high egress rates to Google services. For existing multi-region buckets that run large workloads in Google services, you can use Storage Transfer Service to move your data to a region or dual-region bucket.
Except in exceptional cases, increase requests for multi-region bandwidth quotas are unlikely to be approved. To request a quota increase, contact Google Cloud Support.
When a project's bandwidth exceeds quota in a location, requests to affected buckets can be rejected with a retryable 429 error or can be throttled. See Bandwidth usage for information about monitoring your bandwidth.