10 Best Tips For Scaling Your Fintech App

Last Updated on: 22nd November 2023, 07:40 pm

Recently, financial technologies have significantly expanded their positions. They are used by many organizations for commercial purposes, allowing you to expand the market for products. Realizing the potential associated with introducing Fintech applications, many companies want to develop them for their business. But due to the massive load on Fintech applications, the problem of scaling and application performance appears.

Fintech app scaling needs to be efficient

A typical scenario looks like this. In the case when the efficiency of the application decreases, you can gradually enable additional processes or increase the memory resource. But in this way, the application’s performance will not increase; only the throughput will increase.

Therefore, the solution to such a problem is associated solely with scaling the application, which allows it to adapt to the changed load automatically. The scaling process must be handled by qualified application development specialists who understand the tasks they will face and have relevant experience in such activities. Read more info at the link – https://qarea.com/industries/banking-and-finance.

Below to be provided 10 recommended application scaling tips to help you understand how this process will work.

1. Analyze the structure of the Fintech application

The first thing for scaling to be effective is finding weaknesses prone to functionality problems. Three sectors are most vulnerable when stress occurs:

  • Static resource metrics: web servers, web browsers, programming languages. For example, poor-quality caching will lead to a decrease in the speed of the application.
  • The degree of implementation of automated operations and ensuring their rationality: operating systems, application servers, and programming languages. The most common problem is the inefficiency of accessing databases, preventing the interchange of data within the application.
  • Degree of immutable storage, including how data is stored, file storage, operating system, and data access. This problem is a server misconfiguration that slows down product performance.

First, it is necessary to apply automated testing to analyze performance and load characteristics. It will allow you to find the place of occurrence of weaknesses in the software of the product.

2. Rethink code instrumentation

It is one of the most critical keys to scaling a business. During the initial development of the application, there was no high-quality instrumentation of the code. When the program contains standards and special devices for monitoring and measuring various indicators, this significantly contributes to the detection of weaknesses and then their elimination. But most of the disadvantages will be discovered once the user audience increases and the load on the Fintech system increases altogether.

During the scaling period, the instrumental standards must be determined at an early stage to be able to detect and eliminate weaknesses on time.

3. Choosing a scaling method

The scaling process is a process that takes place in the software, helping to solve problems by changing the scale from changes in the loads on the application in such ways:

  • Use of additional equipment. This method is expensive, so it is used infrequently.
  • Adding virtual machines to the clusters used by the application software. This method is considered innovative, ensuring the maintenance of a dispersed system that can increase at high loads and decrease with a decrease in load.

The ability to scale is the main feature that ensures the high performance and efficiency of the application.

4. The need for sharding

Sharding is a technique for distributing and storing data between servers based on various indicators. For example, a custom audience can be divided by country. It is provided by sharding, which allows database queries to be executed much faster.

5. Balance the load

It is a scaling technique that directs traffic to a server based on the actual load on that server. Initially, the user accesses the load balancer and then is redirected to the appropriate server. The balancer decides how to distribute traffic between servers.

There are three ways to balance:

  • Round Robin – traffic is distributed equally between servers.
  • Using a minimum number of connections ensures sending requests to the server that is least loaded among the others.
  • Predictive Node is a technique that allows you to analyze servers over some time to determine direction. The balancing device will route traffic to a high-performance server using this information.

The main point of balancing devices is constancy. After the actions start, the user must continue to act on the server where he was initially directed.

6. Choice of SOA

Service-Oriented Architecture allows many services to be integrated, providing high-performance user audience connections to providers. It will ensure the efficiency of processes and interactions unrelated to workflows.

7. System caching

Many Fintech applications contain permanent content. And the technique of caching unchanged content will significantly speed up the response. Therefore, there is no need to download content systematically.

8. Application of automation

Investing in automation (DevOps) provides the ability to recover from system inactivity automatically. Depending on the load and response time, virtual machines will be activated as needed. DevOps will back up the database for storage purposes.

9. Ensuring monitoring

Effective application monitoring allows you to determine the scalability of the application, its performance, and its functionality. Monitoring using various open-source tools is the best solution.

10. Analyze the registration process

Often, system logging and custom audience activity logging are used. It reduces the efficiency of the application. Therefore, separate logging of these logs is necessary for more efficient system monitoring.

The scaling process is essential, so its implementation will require a skilled team of specialists capable of effectively solving problems.

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