Consulting/Training

Josh Lane

Cloud Practice Lead - Wintellect

jlane@wintellect.com

@jplane

Amazon Web Services vs. Microsoft Azure

Consulting/Training

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consultingWintellect helps you build better software, faster, tackling the tough projects and solving the software and technology questions that help you transform your business. Architecture, Analysis and Design Full lifecycle software development Debugging and Performance tuning Database design and development

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who we are

About Wintellect

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TL;DR

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Originally designed for internal use

HistorySimple 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

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Announced at PDC October 2008Initially focused on PaaS

Commercial release Feb 2010

150% YoY growth (2Q2014), ~ $4.5B annual revenueIncludes 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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IaaSRun anything in a VM

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

StorageRaw, NoSQL, SQL, big data, CDN

Access control IAM and Azure AD

Legacy-application-as-a-serviceAWS 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 decisionsPublic cloud allows “end-run” around traditional IT

We control the meter (for better… and worse)

“Spend” is now a nounYou’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 modelDiscounts 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 complexityWhat 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?