Consulting/Training
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Consulting/Training
consulting
Wintellect 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
training
Wintellect's courses are written and taught by
some of the biggest and most respected names
in the Microsoft programming industry.
Learn from the best. Access the same
training Microsoft’s developers enjoy
Real world knowledge and solutions on
both current and cutting edge
technologies
Flexibility in training options – onsite,
virtual, on demand
Wintellect is the only company that offers the combined value of world class consulting services
along with onsite, virtual and on-demand developer training. We help companies build better
software, faster, helping you maximize and protect your consulting and training investments
through ongoing knowledge transfer.
who we are
About Wintellect
Consulting/Training
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
Consulting/Training
Features and Capabilities
Performance/Scale/Reliability
Cost
Developer Productivity
Management
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
“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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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
Consulting/Training
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