1. Royal wedding web site
2. biz trends
2.1. local->global
2.2. alone->together
2.3. size->speed
3. IT trends
3.1. affordable capacity
3.1.1. $600 can buy you the storage for all world music
3.2. on demand computing
3.2.1. computing as a utility
3.3. instant access
3.3.1. real-time access
3.3.2. from wide range of devices
3.3.2.1. companies have policy of
3.3.2.1.1. bring your own device
4. challenges
4.1. handle peek load
4.1.1. eg
4.1.2. solution
4.1.2.1. GAE
4.2. predice
4.2.1. CenterParcs
4.2.1.1. need predict users
4.2.2. solution
4.2.2.1. Prediction API
4.2.2.2. BigQuery
4.3. connect with customers in new ways
4.3.1. eg
4.3.1.1. BestBuy
4.3.1.1.1. giftag.com
4.3.1.1.2. built a gifts registry/wishlist that you connect with your social world
4.3.1.1.3. runs on GAE
5. Solutions
5.1. Google has a massive computing backend
5.1.1. eg
5.1.1.1. YouTube uploads 38 hours of video every minute
5.1.1.2. GMail transfers 12 billion emails a day
5.2. They're offering parts of it as an API service
5.2.1. GAE
5.2.1.1. now offering 99.99% SLA, for low cost
5.2.2. Google Cloud Storage
5.2.2.1. Speed
5.2.2.2. Reliability
5.2.2.2.1. 99.9% SLA
5.2.2.2.2. read-your-writes consistency
5.2.2.3. Scalability
5.2.2.3.1. Unlimited objects
5.2.2.3.2. Big objects size
5.2.2.4. examples
5.2.2.4.1. DNAnexus
5.2.3. Google Prediction API
5.2.4. BigQuery service
5.2.4.1. Run a query on very big data, that runs in seconds
5.2.4.2. for analytics
5.2.4.2.1. trends detection
5.2.4.2.2. web dashboards
5.3. Google's message:
5.3.1. Focus on client-side
5.3.2. Google will provide the API & platform for back-end