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Amazon Web Services vs.

Microsoft Azure

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About Wintellect

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TL;DR

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Originally designed for internal use

History

Simple Queue Service – late 2004

Mechanical Turk – late 2005

EC2 and S3 – 2006

>$1B in revenue/quarter (estimate)

8 distinct geographic regions + GovCloud

Customers - Netflix, NASA, Pinterest, Expedia, Instagram, Heroku

AWS overview

Consulting/Training

Announced at PDC October 2008

Initially focused on PaaS

Commercial release Feb 2010

150% YoY growth (2Q2014), ~ $4.5B annual revenue

Includes Office 365, etc.

13 geographic regions + 2 gov-related

Customers – Apple iCloud (!), Vancouver and Sochi

Olympics, Toyota, etc.

Azure overview

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Features and Capabilities

Performance/Scale/Reliability

Cost

Developer Productivity

Management

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Features and Capabilities

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36 distinct, marketed capabilities across 8 categories

About 24 (give or take) are standalone

Rest only make sense in the context of others

Focus areas

IaaS – EC2, Virtual Private Cloud, etc.

Storage – S3, Elastic Block Storage, CDN, etc.

PaaS offering (Elastic Beanstalk) is not really a first-class citizen

Developer-centric services offerings

Managed (No)SQL, data warehousing, Hadoop, queues, workflows, emails, push notifications, etc.

Handful of “others”

AppStream, WorkSpaces, etc.

AWS Features

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27 distinct, marketed capabilities across 7 categories

About 18 (give or take) are standalone

Areas of focus

PaaS – Web Sites, Mobile Services, Cloud Services

Storage – blobs, tables, queues, files

IaaS

Developer-centric services

Managed (No)SQL, queues, Hadoop, service bus, push notifications, etc.

“Others”

RemoteApp, API Management, etc.

Azure Features

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IaaS

Run anything in a VM

Extend your datacenter into the cloud (virtual networks, etc.)

Storage

Raw, NoSQL, SQL, big data, CDN

Access control

IAM and Azure AD

Legacy-application-as-a-service

AWS AppStream and Azure RemoteApp

Commonality

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“View of the world”

AWS – VM-first

Azure – services-first

PaaS – Azure has a clear advantage here

Hybrid cloud connectivity – Azure has more emphasis, options

Mobile back-ends

Azure Mobile Services – mature, full-featured

Amazon Cognito/Analytics/SNS – new offering, promising but still early days

Azure has obvious ties into MS developer ecosystem

Will Amazon create their own dev ecosystem?

Feature differentiation

Azure – native API Management

AWS – native OLAP data warehousing

Key Differences

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Performance/Scale/Reliability

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Server estimates (May 2013)

160K web-facing (11.6M distinct, public web sites)

50K non-web-facing

VM sizes

22 instance sizes across 7 categories

General purpose, micro, compute-optimized, memory-optimized, storage-optimized, etc.

On-demand, reserved, and spot pricing models

Database sizes

11 instances sizes across 3 categories (standard, memory-optimized, micro)

SLA

EC2 and RDS – 99.95%

S3 – 99.9%

Scale out – load balance All The Things

Scale up – up to 32 cores, 244 GB of RAM per instance

AWS perf/scale/reliability

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Server estimates (July 2013)

19K web-facing (170K distinct, public web sites)

VM sizes

10 instance sizes across 3 categories

General purpose, compute-intensive, memory-intensive

Fewer options than AWS (no GPU, storage-optimized, etc.)

Database sizes

8 instance sizes across 2 categories (general purpose, memory-intensive)

SLA

VMs and Cloud Services – 99.95%

Pretty much everything else – 99.9%

Scale out – load balancing using Traffic Manager (across one or more regions)

Scale up – up to 16 cores, 112 GB of RAM per instance

Azure perf/scale/reliability

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Cost

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Budget and tax implications

Capex – Big, depreciating assets on the

balance sheet

Opex - Fluid, less predictable (but smaller) ongoing expenses

Developers – no longer downstream from IT decisions

Public cloud allows “end-run” around traditional IT

We control the meter (for better… and worse)

“Spend” is now a noun

You’re welcome

Price usually not a differentiator

Economics o’ the Cloud

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Generally a pay-as-you-go model

Paying the water bill vs. digging your own well

Free usage tier

12 month limit for new accounts

Monthly credit for Linux/Windows micro VMs, relational and NoSQL storage, etc.

Discounts for education and startups

Convenience vs. commitment

On-Demand vs. Reserved vs. Spot Instances

Here Be Complexity

Whitepapers, how-to videos, VC-backed third party providers, etc.

AWS Pricing

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Largely a pay-as-you-go, rental model

Discounts for 6 and 12 month commitments, prepayments

Try before you buy - $200 credit for new signups

Free credits for schools, startups, and MSDN subscribers

Again with the complexity

What services are you using?

How many?

Which options?

Azure Pricing

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Developer Productivity

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Multiple tech stack SDKs

Java, iOS, Android, PHP, Ruby, Python, .NET, browser

Package management integration – npm, NuGet, gems, pip, composer, etc.

Eclipse and VS.NET integration

Command line – Windows (cmd.exe and PS), Mac, Linux

Excellent SDK and services docs

https://aws.amazon.com/documentation

Active forums

https://forums.aws.amazon.com

No officially supported, unified local emulator

AWS Developer Productivity

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SDKs to target multiple tech stacks

.NET, Java, node, iOS, Android, Windows 8, WinPhone, PHP, Python, Ruby, browser

Package mgmt. integration – npm, NuGet, gems, pip, composer, etc.

Eclipse and VS.NET integration

Also works with Python and Node Tools for VS.NET

CLI support across Windows, Mac, Linux

Auto-deploy from GitHub, Dropbox, TFS, etc.

Excellent docs - http://azure.microsoft.com/en-us/documentation

Forums are… meh (even MS suggests you use StackOverflow )

http://azure.microsoft.com/en-us/support/forums

Local emulator works well… for some stuff

Azure Developer Productivity

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Management

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Web portal

Command line (CLI)

APIs

Third party integration – VMWare, Rightscale, Scalr, BMC, Puppet Labs, Layer7, etc.

Services

CloudFormation – templated resource creation

CloudTrail – auto API call logging

CloudWatch – unified cloud resource and app monitoring

IAM – security and access control

OpsWorks – AWS resource integration for DevOps

AWS Management

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Web portal (two of them, actually)

Command line

APIs

Third party – Cerebrata, BMC, Puppet Labs, etc.

Immature compared to AWS

Services

Recovery Manager – automated backup of Hyper-V private clouds

Backup – automated on-prem server backup to Azure

Scheduler – “cron for Azure”

Active Directory – hosted in Azure, sync with on-prem, etc.

API Management – versioning, quotas/rate limits, security, transformations, documentation, reporting, etc.

Azure Management

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Appreciate how cloud changes IT dynamics

Winners and losers

Budget and tax implications

Understand your SLAs

99.9% = 10 min/week, 45 min/month, 8.75 hours/year

99.95% = 5 min/week, 22 min/month, 4.3 hours/year

Learn the difference between “cloud-capable” and “cloud-native”

Think beyond the VM

Still lost?

Choose AWS because… “no one ever got fired for choosing IBM”

Choose Azure because… you love PaaS, and/or you’re already within the MS orbit

…just remember these are broad guidelines!

Advice

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Questions?