Autoscaling PostgreSQL: a Case Study
Formal Metadata
| Title | Autoscaling PostgreSQL: a Case Study |
|
| Alternative Title | Automated PostgreSQL Scaling on AWS |
|
| Title of Series | |
| Number of Parts | 25 |
| Author | |
| Contributors | |
| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
| Production Place | Ottawa, Canada |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | Managing Your Thundering Herd
Amazon Web Services provides tremendous tools and techniques for scaling services up and down in response to planned or experienced load. However, too many systems are configured to use AWS as an equipment-rental facility, which wastes money and does not take advantage of AWS' unique properties. We'll talk about how to build systems that flex-scale using AWS tools.
Among the topics we'll cover are:
-- Designing your application and database for sharding and scaling. -- Planning for load spikes. -- Detecting load fluctuations. -- Scripting your scale-up/scale-down functionality. -- Scaling the database vs scaling the application front-end. -- Monitoring and fault-recovery.
The demonstrations will be specifically about AWS, but the techniques can also be applied to other cloud environments. |
|