- August 12–22: Online Training (EU shift)
- Enrollment
- FOSDEM Impressions
- June 8–18: Online Training (US shift)
- Non-monetary micro sponsoring
- November 11-12 in Frankfurt am Main
- Online-Training in July and August
- Oracle + PostgreSQL
- Party time
- PostgreSQL Performance Event
- SQL Server Performance Kurs in Stuttgart
- SQL Server performance training in London
- Shipping Terms
- The two top performance problems caused by ORM tools
- Top Tweets January 2013
- Training Survey
- Training and Conference Dates
- Use The Index, Luke
- Ask
- Consulting
2012-04-23Performance and Scalability
This chapter is about performance and scalability of databases.
In this context, I am using the following definition for scalability:
Scalability is the ability of a system, network, or process,
to handle a growing amount of work in a capable manner
or
its ability to be enlarged to accommodate that growth.
You see that there are actually two definitions. The first one is about the effects of a growing load on a system and the second is about growing a system to handle more load.
The second definition enjoys much more popularity than the first one. Whenever somebody talks about scalability, it is almost always about using more hardware. Scale-up and scale-out are the respective keywords which were recently complemented by new buzzwords like web-scale.
With our online courses, you can learn all about SQL performance during summertime!
Broadly speaking, scalability is about the performance impact of environmental changes. Hardware is just one environmental parameter that can change. This chapter covers other parameters like data volume and system load as well.
Stay connected:
RSS Feed
Like on Facebook
Follow me on Twitter
Share at Google+
RSS FeedFlattr this! Follow me on TwitterShare at Google+Like on Facebook