Join a real uplift experience with Hagay Albo, the CTO of the Zap/Yellow Page Group in Israel, in which he explains how his team was able to take a legacy (slow and hard to modify) group of sites and make them easier to work with, MUCH faster and greatly simplified the operational environment. By prioritizing high availability, flexible data modeling and focusing on raw speed Zap was able to reduce its load times by Two Orders of Magnitudes. Using RavenDB as the core engine behind Zap's new sites had improved site traffic, reduced time to market and made it possible to implement the next-gen features that were previously beyond reach.

1. Zapping ever faster
Hagay Albo

2. Hagay Albo
C.T.O & C.I.O at Zap Group
BSc Computer Science
Hagay@albos.co.il
facebook.com/hagay.albo.3
linkedin.com/in/hagay-albo-605a4722
A little bit about me

3. Who we are

4. Company Profile

5. Print Vs Online Income

6. Developing Language
Search Engine
Databases
50 Web .Net Developers
20 Back Office DevelopersDevelopment

7. Problems we had
• Slow queries results
• Expensive
• No control
• Complicated to develop on
• Less Data per page
• To many servers
• To many points of failure
• No updates and improvements
So we decided to look for an alternative NOSQL database

8. Server topology
Before After

9. Reasons we decided RavenDB
• Search abilities
• Custom sorters
• Simple to implement replication
• Performance
• All in C# (linq, extensions, analyzers …)
• Easy to install
• Wonderful support
• Grate tools for monitoring and debugging
• Built-in and easy to use facets and spatial
• Simple to use studio

10. Search abilities
• Analyzers
• Did You Mean
• More Like This
• Boosting
• Scoring algorithm

11. Custom Sorters
• Easy to write complex sorting
• Fast results
• Pass arguments from query
• All in C#
Example :

12. Replication
• Simple to implement
• Failover
• Load balancing
• More than one master
• Conflict resolutions

13. Performance
• Fast reads
• Built in client/server caching
• Reduce amount of servers
• Increase amount of data per page
Amazon found that
every 100ms of
latency cost them
1% in sales

14. Performance results
• Improved page load time from 0.7s to 0.3s
• Reduced average query time to 10ms
• Reduced amount of DB servers by half
• Doubled the amount of data per page
• Around 300 queries a sec per server

15. The Result
• Increase of 25% in traffic
• Better engagement on site
• Improved our bounce rate
• Faster to develop on
• Developers Love It

16. Easy to develop on
• All code in C# (Client and Server)
• .NET Client API (LINQ to RavenDB)
• Built-in multi level caching
• Safe by default
• Lazy , multi queries
• Simple implementation for security
• Install and run in minutes
• Easy to scale (replication, sharding)

17. Hagay Albo
Hagay@albos.co.il