Scaling Go Applications: Difference between revisions
Jump to navigation
Jump to search
| Line 15: | Line 15: | ||
*Centralized Logging | *Centralized Logging | ||
AGAIN this is an approach and of course you can use third-party cloud solutions. This one will be confined to Docker and GO. | AGAIN this is an approach and of course you can use third-party cloud solutions. This one will be confined to Docker and GO. | ||
==Initial Optimizations== | |||
==Creating a Load Balancer== | |||
==Caching== | |||
==Centralized Logging== | |||
Revision as of 11:53, 28 January 2021
Introduction
Resources
When we look at scaling we must consider the following resources.
- Network Bandwidth
- Processing Power
- Available Memory
- Data Storage
For this page we will be looking a the challenges around breaking an application in to several servers and following an architecture such as below
This not meant to be THE solution but a walkthrough on some of the challenges to scale. This will be split into
- Initial Optimizations
- Creating a Load Balancer
- Caching
- Centralized Logging
AGAIN this is an approach and of course you can use third-party cloud solutions. This one will be confined to Docker and GO.