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Architecting for Cost

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Pay as you go and grow for only what you use when you use it

$0.15 per GB for data transfersfrom European & North American locations

$0.20 per GB for data transfersfrom other locations

$0.01 per 10,000 transactions

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Cost / UserCost /

Feature

Cost / Business

Transaction

Cost / U

Upti

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Compute

Per Service Hour, for VM size

Storage

Per GB stored & transactions

BandwidthPer GB transfer out of datacenter

AppFabricPer connection/monthPer transactions/month

SQL AzurePer DB per Month

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Migration

Assessment andPlanning Toolkit

Windows Az

Calculator

http://go.microsoft.com/fwlink/?LinkId=158988http://go.microsoft.com/fwlink/?LinkId=158988http://go.microsoft.com/fwlink/?LinkId=158988http://www.microsoft.com/windowsazure/offers/http://www.microsoft.com/windowsazure/offers/http://www.microsoft.com/windowsazure/offers/http://www.microsoft.com/windowsazure/offers/http://go.microsoft.com/fwlink/?LinkId=158988http://go.microsoft.com/fwlink/?LinkId=158988http://go.microsoft.com/fwlink/?LinkId=158988

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HostedServices

StorageServices

KnownWorkload

S

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! Dont forget the resources ufor monitoring, instrumentatetc. which may be directly relto scale unit.

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GET BIZPROCESSES

ESTIMATECOST OF

COMPUTE

DATA

BANDWIDTH

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d l i i l

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Fundamental Principles

Following these principles typically leads to a better user

experience and app performance

Measure everything, measure everything!

Windows Azure Diagnostics

Transparent ROI

Better Performance = Lower TCO

Lower ongoing infrastructure costs

Scalability of capacity

Rapid deployment

Whenever possible:

Cache

Compress

Batch

I i i K O i i i

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Instrumentation is Key to Optimizing

Remember to account for monitoring and diagnostic usage costs!

Monitoring

Where is CPU time spent?

What % of CPU is used?

Diagnostics

What URLs are getting served?

What are the characteristics(caching, compression, etc)

Stora

What parts of yocalling storage?

What partitions athey hitting?

Route all storagethrough commo

Verify storage pa

Cost Savings

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Batch Transactions

Snapshots

Distributed Network

Cache

CDN Service

Data in Storage

Data Pulls

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E l iti C

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Exploiting ConcurrencyTypically code falls into one or more of these categories:

MemoryIntensive

CPUIntensive

Network

Intensive

Storage IO

Intensive

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Traffic Reduction

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Traffic Reduction

Bandwidth is major cost of any application.

Batching increases Storage efficiency.

Reducing bandwidth leads to edge savings.

Reducing throughput increases VM capacity.

All of these tips habenefit of improviweb apps performuser experience

AJAXImagCSS

InlineCombi

Combine

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UncomCon

Compresse

Gz

Minify Ja

Minif

Minify

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Caching Techniques

Etags

Expires

Max-Age header

Using query strings, different filenames for cachebreaking

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