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When we think of cloud computing, availability, efficiency and economy are the first words to come to mind. Understand how horizontal scaling can integrate these benefits and what their applications are.
Technologies linked to cloud computing are optimizing processes through their disruptions. One of the strategies on the rise is horizontal scaling . This is a scaling technique, spreading the workload and dataset of the system across existing servers or adding additional servers to increase capacity as needed.
Typically, support is needed from a load balancer : a component responsible for distributing user requests (workload) across the various systems, machines, or back-end nodes in the cluster . Each of these back-end runs a copy of your software and is therefore able to efficiently serve requests
Why adopt this method?
If you plan to run your applications on an ever-increasing volume, it's a good idea to reference horizontal scaling to the cloud early on as part of the planning process - as this scaling norm cannot be implemented at any time, we need to structure it. it in the original architecture, so when you need to deal with more or less traffic on your system, you won't be in trouble.
Big players providing web services such as Google, Microsoft, Facebook and Amazon heavily use horizontal scaling . Among the benefits of adopting this strategy are:
- High server availability;
- Better workload distribution across existing nodes;
- Fast scalable setup;
- Performance automation;
- Cost and workload predictability.
Horizontal scaling x Vertical scaling: discover the variation between techniques
Horizontal scaling involves adding or removing processing units or machines to your environment as per your instantaneous need. This will increase or decrease the number of nodes in the cluster , redistributing the workload among the available ones. This sizing tool has been widely used for applications that demand high performance and cost control.
Some of the factors that can help determine if you need horizontal scaling are: varying workload, industry structure, and your business objectives.
In the case of vertical scaling, the notable difference is usually limited to the capacity of a single machine, as to scale your application beyond the capacity of the server, you need to increase the hardware . However, this process results in downtime and higher costs.
Scaling saves on infrastructure
Horizontal scaling plays a key role in resource optimization. With the importance of optimization in mind, we created Sky.Saver : a solution that helps you save up to 80% on AWS infrastructure.
The use of artificial intelligence promotes the high availability, scalability and efficiency of EC2 instances at the price of SPOT instances. With multiple layers of security and real-time monitoring, you stay in control of your application investments and savings. This information is displayed on an exclusive dashboard
There are no fixed costs, so you only pay a percentage of the amount saved, in reais. Meet our horizontal scaling! Talk to our experts and test the tool for free for 15 days. Click to know .
