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docs: Update large-scale deployment example to use M deployment tier
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docs/pages/product/deployment/cloud/pricing.mdx

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@@ -223,10 +223,9 @@ under the following tiers:
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## Total cost examples
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The following examples provide insight into the total cost to use Cube Cloud:
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- [Small-scale deployment](#small-scale-deployment) (production cluster, Premium product tier).
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- [Medium-scale deployment](#medium-scale-deployment) (production cluster with auto-scaling, Enterprise product tier).
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- [Large-scale deployment](#large-scale-deployment) (production multi-cluster
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with dedicated infrastructure, Enterprise product tier).
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- [Small-scale deployment](#small-scale-deployment) (production cluster, Premium product tier, S deployment tier).
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- [Medium-scale deployment](#medium-scale-deployment) (production cluster with auto-scaling, Enterprise product tier, S deployment tier).
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- [Large-scale deployment](#large-scale-deployment) (production multi-cluster with dedicated infrastructure, Enterprise product tier, M deployment tier).
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### Small-scale deployment
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@@ -235,7 +234,7 @@ a couple of teams in Eastern and Pacific time zones.
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This organization:
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* Uses the Premium product tier of Cube Cloud.
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* Runs a single Production Cluster that is active 24/7 but never has to auto-scale
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* Runs a single Production Cluster (S tier) that is active 24/7 but never has to auto-scale
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its API instances because the usage is spread evenly with no bursts.
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* Operates on a small volume of data that requires the usage of just 2 Cube Store
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Workers to run queries and refresh pre-aggregations mostly during working hours,
@@ -261,12 +260,12 @@ analytics in its SaaS platform that caters to a vast worldwide customer base.
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This organization:
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* Uses the Enterprise product tier of Cube Cloud.
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* Runs two Production Clusters that are active 24/7 and auto-scale up to 8 API instances
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* Runs two Production Clusters (S tier) that are active 24/7 and auto-scale up to 8 API instances
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during a peak hour every day.
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* Operates on a moderate volume of data that requires the usage of 4 Cube Store
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Workers by both Production Clusters to run queries and refresh pre-aggregations 24/7,
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being active approximately 50% of the time.
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* Uses a dedicated Development Instance for testing purposes that is active 12 hours a day.
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* Uses a dedicated Development Instance (S tier) for testing purposes that is active 12 hours a day.
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* Has a team of 5 data engineers who frequently update the data model, with each data engineer
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spending about 4 hours a day in the development mode of the dedicated Development Instance.
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@@ -287,11 +286,11 @@ its globally distributed workforce, customer base, and (or) partners to operate
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This organization:
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* Uses the Enterprise product tier of Cube Cloud.
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* Uses [dedicated infrastructure][ref-dedicated-infra].
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* Runs a Production Multi-Cluster that is active 24/7, includes 3 Production Clusters, with each
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* Runs a Production Multi-Cluster that is active 24/7, includes 3 Production Clusters (M tier), with each
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Production Cluster auto-scaling up to 10 API instances during a few peak hours every day.
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* Operates on a large volume of data that requires the usage of 16 Cube Store Workers to run
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queries and refresh pre-aggregations 24/7, being active approximately 50% of the time.
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* Uses a dedicated Development Instance for testing purposes that is active 24 hours a day.
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* Uses a dedicated Development Instance (M tier) for testing purposes that is active 24 hours a day.
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* Has a team of 10 data engineers who frequently update the data model, with each data engineer
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spending about 4 hours a day in the development mode of the dedicated Development Instance.
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* Uses a [Query History tier](#query-history-tiers) with 14-day data retention to inform the work
@@ -300,13 +299,13 @@ of data engineers.
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| Resource | Usage per month | CCU per month |
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| ----------------------------------------------- | ------------------------------------------------------------------------------------------- | ---------------------------------------------------- |
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| Dedicated infrastructure | 1 region ×<br/>24 hours per day ×<br/>30 days | 720 hours ×<br/>3 CCUs per hour =<br/>**2160 CCUs** |
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| Production Multi-Cluster | 3 Production Clusters ×<br/>24 hours per day ×<br/>30 days | 2160 hours ×<br/>4 CCUs per hour =<br/>**8640 CCUs** |
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| Additional Cube API Instance | 3 Production Clusters ×<br/>(10 – 2) API Instances ×<br/>4 hours per day ×<br/>30 days | 2880 hours ×<br/>1 CCU per hour =<br/>**2880 CCUs** |
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| Production Multi-Cluster | 3 Production Clusters ×<br/>24 hours per day ×<br/>30 days | 2160 hours ×<br/>8 CCUs per hour =<br/>**17280 CCUs** |
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| Additional Cube API Instance | 3 Production Clusters ×<br/>(10 – 2) API Instances ×<br/>4 hours per day ×<br/>30 days | 2880 hours ×<br/>2 CCU per hour =<br/>**5760 CCUs** |
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| Cube Store Worker | 1 Production Multi-Cluster ×<br/>16 Cube Store Workers ×<br/>12 hours per day ×<br/>30 days | 5760 hours ×<br/>1 CCU per hour =<br/>**5760 CCUs** |
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| Development Instance | 1 Development Instance ×<br/>24 hours per day ×<br/>30 days | 720 hours ×<br/>1 CCU per hour =<br/>**720 CCUs** |
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| Development Instance<br/>(for development mode) | 10 users ×<br/>4 hours per day ×<br/>30 days | 1200 hours ×<br/>1 CCU per hour =<br/>**1200 CCUs** |
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| Development Instance | 1 Development Instance ×<br/>24 hours per day ×<br/>30 days | 720 hours ×<br/>2 CCU per hour =<br/>**1440 CCUs** |
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| Development Instance<br/>(for development mode) | 10 users ×<br/>4 hours per day ×<br/>30 days | 1200 hours ×<br/>2 CCU per hour =<br/>**2400 CCUs** |
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| Query History (M tier) | 24 hours per day ×<br/>30 days | 720 hours ×<br/>5 CCUs per hour =<br/>**3600 CCUs** |
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| **Total** | | **24960 CCUs** |
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| **Total** | | **38400 CCUs** |
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## Payment terms
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