CloudTalk: Architecting Software for the Cloud
- Posted: May 30, 2011 at 5:32 AM
- 1,900 Views
- 6 Comments
by Mike Ehrenberg
The emergence of cloud technology represents a significant generational shift in software architecture. Mike will share insights in what customers seek in a move to cloud-delivered software, and how delighting those customers impacts the architecture, design and development of cloud-based business applications.
About Mike Ehrenberg
Mike Ehrenberg is a Microsoft Technical Fellow with over thirty years of experience in the software industry. He is the chief architect for Microsoft's Dynamics ERP and CRM applications, responsible for roadmap strategy and planning.
Mike Ehrenberg is a Microsoft Technical Fellow with over thirty years of experience in the software industry. He is the chief architect for Microsoft's Dynamics ERP and CRM applications, responsible for roadmap strategy and planning.
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Great talk about how cloud computing changes software development requiring a "think different" paradigm.
Most Interesting points @ minutes: 29:06, 35:20, 42:00, 46:40, 51:10, 53:50, 57:50, 1:02:53
27:20 Cloud challenge nr 1: Scale
lots of users, data, always busy: how to think different about scalability
Scale up is not the solution. Scale out is.
29:06 a. Scale the services: First scale out option:
partition the app in:
as set of async loosely coupled services
31:15 example of message coupled sell & inventory services
35:20 The message based design pattern allows possible release of part of the software. Cloud changes the way we think about software.
36:20 b. scale data. SQL Azure Federations supports "sharding" cloud scale data
partioned across multiple physical tables
partition diff tables by region
very hard problem
39:30 c. State maintanance in scale scenario
big challenge to keep cloud elastic + solutions (minimize & isolate state in the service)
AppFabric cache services to the rescue
42:00 Performance becomes explicit in the cloud
because of charging model for cloud usage (storage, round-trips, etc.)
46:40 cost of operation affects sys design
cost of SQL Azure storage is higher than windows blob storage
47:10 service success is determined by its manageability
"One Microsoft" cloud experience with different MS enterprise products
50:20 provide service visibility to the customer (up-time, scheduled events, etc.)
51:10 Cloud error reporting and propagation adds new complexity
need for platform services & APIs for error reporting
52:40 cost effective manageability of service
53:50 new reality: combination of cloud &
private devices (on-premises due to regulatory, merging, etc.)
55:30 Identity
56:10 Equivalent of liveID in the enterprise envir (online ID, bussiness equivalent available in the cloud, similar to AD)
57:50 connect scenarios from cloud to premises
azure service bus, CRM eventing model
58:25 Customization for Cloud Systems
declarative model-driven customization
1:02:53 Other Cloud Considerations
focus on simplicity
should be rich but easy to startup, customize & upgrade
remove features
Privacy & data security
raised to new levels
Component failure
assume failure due to huge nr of nodes
recover state info in case of failure
1:09:30 on-premises customers benefit from cloud investment
1:11:23 The cloud enables new scenarios
shared data
payroll regulation
connections
connected big supply chains
limit number of interfaces if everyone talks with a cloud hub
new analytics, reveals otherwise invisible trends
across massive data in the cloud
example: determine flu trends via queries
1:18:10 Q&A
1:22:38 how MS deals with competitors?
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