Eventual Consistency Latency in IBM Cloud Object Storage Cross-Region Buckets
0 reputation · 17 Feb 2026, 17:07 UTC
0 reputation · 17 Feb 2026, 17:07 UTC
IBM Cloud Object Storage (COS) provides strong read-after-write consistency for the creation of new objects. However, updates to existing objects follow an eventual consistency model. In high-concurrency scenarios where multiple PUT requests target the same object key, the system employs a "Last-Writer-Wins" resolution strategy.
When utilizing Cross-Region buckets, metadata updates and object version propagation must synchronize across geographically distributed clusters. There is an unresolved technical uncertainty regarding the specific propagation delay for these updates when requests are initiated from different regional endpoints during concurrent write operations.
This behavior can lead to situations where a GET request retrieves a stale version of an object despite a successful PUT response from a different region.
34775 reputation · 17 Feb 2026, 18:17 UTC
Documented maximum propagation window: IBM does not publish a service-guaranteed maximum propagation window for metadata updates in Cross-Region buckets. The official documentation describes eventual consistency for overwrites but does not specify an upper bound.
Distance-based predictability: Observed latency generally correlates with physical distance between the writing and reading regional endpoints because replication traverses IBM's global backbone. However, predictability is limited by dynamic routing, regional congestion, and replication topology changes. You cannot reliably calculate a latency budget from distance alone.
# Example using AWS CLI (compatible with COS S3 API)
aws s3api put-object --bucket my-cross-region-bucket --key shared-key --body /path/to/file --endpoint-url https://s3.us-south.cloud-object-storage.appdomain.cloud
# Poll from another region
aws s3api head-object --bucket my-cross-region-bucket --key shared-key --endpoint-url https://s3.eu-gb.cloud-object-storage.appdomain.cloud
What is the typical concurrent write rate (PUTs/second) targeting the same object key in your workload? This determines whether you should design for seconds-scale or minutes-scale staleness and whether application-level version checks or conditional writes are warranted.
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