3,356,405 SKUs under observation
Movers
How “biggest” is decided
Filters
Resource family
Service
- Cloud Memorystore for Redis32
- Compute Engine875
- Cloud SQL463
- Vertex AI295
- Notebooks78
- Kubernetes Engine61
- Cloud Dataflow57
- Networking40
Show 32 moreShow fewer
- Cloud Storage33
- Cloud Composer32
- Cloud Key Management Service (KMS)29
- Transfer Appliance29
- Managed Service for Apache Kafka28
- NetApp Volumes27
- Cloud Build24
- BigQuery24
- Cloud Run22
- Cloud Firestore22
- AlloyDB21
- Cloud Memorystore20
- BigQuery Reservation API17
- Developer Connect16
- Cloud Machine Learning Engine15
- Cloud Filestore15
- Cloud Spanner14
- Live Stream API12
- Backup for GKE12
- Cloud Run Functions12
- Dataproc11
- Firebase Data Connect8
- Cloud Healthcare7
- BigQuery Data Transfer Service6
- Managed Lustre5
- BigQuery Storage API5
- Cloud TPU4
- Dataplex4
- Immersive Stream for XR4
- Cloud Memorystore for Memcached4
- Backup and DR Service4
- Parallelstore3
Region
Show 24 moreShow fewer
- europe-central232
- australia-southeast232
- europe-west632
- me-central132
- us-west432
- northamerica-northeast132
- asia-east132
- australia-southeast132
- us-west132
- asia-east232
- asia-northeast332
- asia-northeast232
- us-west232
- us-central132
- europe-west132
- europe-north132
- us-east432
- asia-southeast132
- europe-west332
- europe-west232
- us-east531
- northamerica-northeast231
- europe-west831
- europe-west1231
Rising
Top 0 over 30 days, ranked by the change in price per unit — the move an invoice feels
Nothing rose over the last 30 days under these filters.
Falling
Top 0 over 30 days, ranked by the change in price per unit — the move an invoice feels
Nothing fell over the last 30 days under these filters.
Most repriced
Changed most often in the last year — unstable to budget against, however the year netted out
No SKU was repriced more than once in the last year under these filters.
Where the movement is
Mean net list-price change by service, last 30 days
No service moved over the last 30 days.
How these numbers are calculated
Each SKU's change compares the price in effect today with the price in effect 30 days ago. $ impact ranks by the difference between those two prices — the money a unit costs now that it did not before. % move ranks by that difference relative to the old price. They are different questions and they return substantially different lists: unit prices here span several orders of magnitude, so the largest percentage moves are usually sub-cent SKUs where a fractional adjustment is a big proportion, while the largest cash moves are the accelerator and instance hours. Neither list is filtered by price unless you set a floor above, and the floor shows as a removable chip when you do.
SKUs that did not exist at the start of the window are excluded from the ranking rather than counted as an infinite rise — they appear in the changelog as new SKUs instead. Service roll-ups are the mean across that service's moving SKUs, so a service with one dramatic outlier does not look like a service that repriced everything. Both rankings show the top 20 of the matching set; the full set is in Explorer.