by mheydt
17.
November 2009 03:26
>
Azure pricing is more simple than Amazon
- 10c/GB in and 15c/GB out, regardless of service
- Data withing data center is unmetered
- Between data centers is at full rate
Compute
- 12c/h deployed instances (ready state+)
- Same charge regardless of
- Instance is actually running
- In staging or production
Storage
- 15c/GB/m
- 1c per 10,000 REST Calls
- CDN charges (TBD)
- Storage is pro-rated by average daily amount
- Blocks cost money even if not PUT (don't orphan blocks)
- Overhead can be expensive in tables
- Entity pairs, name / values, names also take space
Storage
- 1c / 10000 REST calls
- Appears inconsequential, but hand add up
- Using a queue is at least 3 transactions (enqueue, deque, delete)
- Batch transactions to reduce cost
SQL Azure
- $9.99 / m for 1GB
- $99.99 / m for 10GB
SQL Azure - Instance Based
- Prorated by time (midnight UTC)
- CPU like other roles
- No transaction charge, but beware of throttle
SQL Azure - Accounting
- Included in cac: shema/objects
- ... missed rest too fast
SQL Azure - Determining Usage
Session State
- Cheaper in SQL Azure than in tables due to transactions
Pricing Tips
- Bandwidth: compress response, minify/optimize (aptimize.com)
- Reduce resource size: compress data in blog storage
- User affinity groups to geolocate services
Compute
- Add or remove instances as required
- start same number of instances in staging
- warm up instances
- swap deployments
- more (went too fast)
Storage
- Batch requests
- Model usage
- Compress blog data
- Set content-encoding when putting blob
- use caching to reduce request transaction count
- use CSS sprites and Data URIs to reduce transaction count
Where do static resources live:
- In web role? incurs additional free but resource consuming requests
- Blob: storage cost and transaction cost
Use CSS sprites
- Can massively reduce round-trips and transaction counts in Azure
SQL Azure
- Vertically partition out large data columns
- Support dynamic partitioning if possible
- Consider just-in-time partitioning
- Pull archive data out of the cloud to cheaper on premise storage or to azure storage
- Manipulate db from cloud using System.Data.SqlClient.SqlBulkCopy
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Tags:
Azure