Amazon RDS (MySQL and Oracle) and SQL Azure Emil Tabakov Telerik Software Academy academy.telerik.com

 Team lead at Telerik  Professional experience  Web applications development  How to contact me  Blog:  emil.tabakov at telerik dot com  Disclaimer 2

 Architecture overview  Features and limitations  Pricing  Scaling  Development for cloud based database  Demo  Some other considerations 3

 To add another tool in your toolbox  To be prepared for the future 4

 Amazon RDS  SQL Server new  MySQL  Oracle  Microsoft  SQL Azure  Google Cloud SQL  MySQL 5

6  Four layers of abstraction  Client Layer  TDS protocol  Located on various environments  Developed with different technologies  Services Layer  Provisioning  Billing and metering  Connection routing

7  Four layers of abstraction  Platform Layer  The physical database servers  SQL Azure fabric  Automatic failover, load balancing and automatic replication between all the physical servers  Infrastructure Layer

 Dedicated virtual machine  Built on top of MySQL / Oracle / SQL Server instances 8

 SQL Azure is “native” cloud platform  Offers management tool as a Service  Convenient even for non-SQL developers  Disaster recovery solution  Out of the box at no cost  Roadmap and community  Lots of sessions, clear vision for improvement  Generally, cheaper 9

 150 GB database size limitation  Only a subset of features compared to SQL Server, no support for:  Analysis services  Replication  Service Broker  Manipulating physical resources  Setting server options, trace flags, SQL server profiler or database advisor, no CLR 10

 Full MySQL / Oracle / SQL Server instance  Database Backup / Restore functionality  Database size – up to 1 TB  Available for developers all over the world today  Generally better performance than SQL Azure 11

 Up to 4 hours a week downtime for maintenance  Usually no downtime  Not really cloud solution  More like database hosting solution  Could cost a lot 12

Database sizePrice per database per month 0 – 100 MB$ MB – 1GB$9.99 1GB – 10GB$9.99 for the first GB, $3.996 for each additional GB 10GB – 50GB$ for first 10 GB, $1.998 for each additional GB 50GB – 150GB$ for first 50 GB, $0.999 for each additional GB 13 Estimated cost for 50GB database a month: ~ $125

 Multi Availability Zone doubles the cost  Additional cost for data transfer  Greater variety of hardware configurations  The billing depends on  Usage  Provisioned storage  I/O requests  Harder to be predicted 14

 Scale-up (vertically)  Limited by the hardware  High administration costs (exponential)  Scale-out (horizontally)  Cost effective  Commodity class hardware  Multiple approaches  Sharding, horizontal partitioning 15

 Horizontal partitioning  Splitting database table in multiple tables within a single database instance  Going further with sharding  Splitting between multiple instances  Advantages of sharding:  Split the search load between multiple instances (not only multiple indexes)  Easier replication, worldwide distribution 16

 Limited Scale up opportunities  Great Scale out options through federations  Collection of database partitions defined by federation scheme  No joins supported across multiple database instances because of the physical separation 17

Working with Federations using Entity Framework

 Good Scale-up opportunities  5 database sizes available (small, large, extra large, double extra large, quadruple extra large)  Standard and High memory options  No out of the box scale-out solution  But there are various home grown solutions available 19

 Your database server will fail sooner or later  Build stateless application  Databases in cloud are different from those on the ground  Have in mind the pricing model of your cloud provider  Have in mind that the location of your DB can be changed any time 20

Migrate a simple Web Application’s data layer to various cloud environments

 Tracking and auditing data  Privacy and data security  Physical and logical security requirements  EU Directive on data protection (95/46/EC)  Accessing the data by the vendor  Jurisdiction concerns – US Patriot Act  Limitations on Vendor Liability  No warranty, limited responsibility in case of accidents 22

 New project or existing one  Define your project’s requirements and restrictions  Budget  High availability  High Scalability  Ease of use  Performance 23

 Have in mind your application hosting environment  Increased latency  Possible security flaws  Be prepared for a change  Free Azure subscription for BizSpark members 24

 Software as a service product  Hosted trials on Telerik 25

 Blog:  emil.tabakov at telerik dot com Thanks for attending! 26

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 Create a relational DB account in some cloud  Use Amazon RDS or SQL Azure or Xeround Cloud MySQL or other cloud relational DB  Define a table "Bookmark" with columns "URL" and "Description" and table "Clicks" to store the click count for each bookmark entry  Create a console or Web based application  Use C#, Java, PHP or other language  Your application should add few bookmarks, list all bookmarks and a click for the first bookmark 28

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