Table of Contents
How do you handle scalability for a million users?
Steps to build a scalable application based on increasing users from 1 to 1 million
- Initial Setup of Cloud Architecture.
- Create multiple hosts and choose the database.
- Store database on Amazon RDS.
- Create multiple availability zones.
- Move static content to object-based storage.
- Auto Scaling.
- Service Oriented Architecture(SOA)
How do you scale the system?
6 Best Ways to Scale Your Systems
- Splitting services. Splitting large monolithic software projects into smaller ones is not a new concept.
- Horizontal scaling.
- Separate databases for reading and writing concerns.
- Database sharding.
- Memory caching.
- Going to the cloud.
How many instances can I scale out to per day?
Scale out to 10 instances on weekdays, and scale in to 4 instances on Saturday and Sunday. Scale out by one instance if average CPU usage is above 70\%, and scale in by one instance if CPU usage falls below 50\%.
What are the two ways an application can scale?
There are two main ways that an application can scale: Vertical scaling, also called scaling up and down, means changing the capacity of a resource. Horizontal scaling, also called scaling out and in, means adding or removing instances of a resource.
Do people not appreciate how far web servers can scale?
Ultimately though the point I want to make is this: people don’t appreciate just how far modern web servers can scale. Of course this is also predicated on there being well-designed apps, but particularly a modern incarnation of IIS running on Azure can scale a hell of a long way and that’s what I’m going to show you here today.
How to scale a database efficiently?
Employing the master-slave replication approach is an excellent way to scale databases efficiently. Each master node is a powerful machine that can read/write data, whereas a slave node can only read data. At the same time, a load balancer will ensure the distribution of load across master nodes.