Why is Mobile App Scalability Important For the Success of your Mobile App?

Mobile App Scalability

Successful consumer-focused goods have the ability to generate huge demand and impact over time. Suppose the scalability of the mobile app is unable to keep up with demand while keeping the expected level of quality. In that case, apps with a large user base and heavy traffic should focus on a growing user base with flawless performance and user experience. It will most likely remain in the market sector or switch to another.

Mobile app scalability can be incorporated into the discoverability stage of your app if you want to ensure its credibility and ability to serve a large number of users while remaining highly available and trustworthy as it grows. You learn about the scalability of mobile app development and how to categorize it into product creation orders.

What is Scalability in Mobile App Development?

In simple terms, mobile app scalability refers to your app’s ability to support an increasing user base without compromising user experience or performance metrics. Your mobile application’s infrastructure can manage a high rate of requests per minute (RPMs).

Each user interacts with your application, which was built at the request of your backend; the backend should reply to this request with as little delay as possible. A highly scalable program can handle multiple requests at once while maintaining a consistent user experience. For example, specialized and highly scalable mobile apps like APPExperts, which convert a website into a fully functional mobile app for iOS and Android platforms, advertise your brand by maximizing scalability patterns in mobile app development.

Types of Mobile App Scalability Techniques

Following are some of the types of mobile app scalability tactics:

Types of Mobile App Scalability Techniques

  • Vertical Scalability

Vertical scaling for the application server incorporates several resources such as CPU, memory, network bandwidth, and others. It is powerful and resourceful enough to handle multiple requests at once. However, the present server capabilities may limit the capacity to add various resources. As a result, in many use cases, horizontal scaling is preferred for mobile app scalability.

  • Horizontal Scaling

Horizontal scaling adds new technologies or servers with the application code to increase capacity. At first look, the processer aspects’ existing resources appear unaltered. Despite this, parallel processing may necessitate changes to the application logic. This method is valuable and popular in distributed systems. This load balancer handles incoming requests and distributes the workload to other workstations.

It is not necessary to use either the horizontal or vertical scaling parameters; however, if you have a hybrid system that combines horizontally and vertically scalable devices.

How to Scale your Mobile App to the Next Level?

Following are some of the parameters for scaling your mobile app to the next level:

  • Identify the Scalability Needs

Before developing a mobile app, make sure you have a dynamic source. Your app must keep up with evolving user expectations to scale expenses and avoid unreasonable prices and preferences. To assess if it is reasonable to increase capacity now, consider the answers to the following questions.

  • Do you expect your user base to grow? How long would it take if that happened? Keep an eye out for data analytics trends as well as the inverse.
  • What is the expected annual usage of your app?
  • How long can you continue to serve the growing user base without jeopardizing performance metrics?
  • Are there upcoming events or holidays that you believe may result in greater utilization and demand?

Knowing the answers to these questions will better understand where you are at capacity and where you need to make up for the massive surge in demand. You can use the data to estimate the cost of taking your app to the next level.

  • Identify the Scalability Issues

If you already have an app, use application monitoring platforms such as New Relic AMP and AppDynamics to detect possible areas of mobile app scalability difficulty. It is recommended to use the chosen tracking tool to keep track of essential metrics such as CPU, memory, and network use.

Locate the transactions in question if any of these indicators show significant usage. Furthermore, you should utilize these results as a starting point to determine where and how to implement scaling techniques.

  • Choose the Suitable Tech Stack

Assume that the tech stack is the only component of the scalable mobile application. As a result, determining the best tech stack, which should include a scalable backend and responsive front-end technologies, is essential. Consider rebuilding your app if your current tech stack does not allow for significant scalability.

The initial investment will be spent redesigning the app. The ROI will arrive if you think about growing a user base of solid clients. Walmart, for example, raised mobile conversion tactics by 98% after switching from a legacy-based system to Node.js.

  • Decide on picking up infrastructure.

The application’s architecture is critical for acquiring the essential app scalability metrics. Using Platform as a Service (PaaS) alternatives from AWS, Azure, or IBM Cloud for your mobile app is a straightforward way to suit diverse scalability requirements and preferences. As a result, cloud services have multiple scaling and pricing options, and vice versa.

Consider the following scenario: you decide to launch your app using AWS. In that case, the vendor will handle all scaling requirements on your behalf by utilizing trustworthy cloud solutions that offer automated scaling, allowing the app to alter its size based on the number of users at any given time. Furthermore, you only need to describe the necessary conditions, such as the maximum number of servers and relevant resources that should be granted to the service, such as storage, hardware, and networking.

You can, for example, change these parameters based on incoming app usage information. Scaling a mobile application that serves a million users in a PaaS environment is a fundamental and straightforward way of assessing scalability metrics

  • Use Caching Where Possible

Caching is another popular strategy for code optimization for mobile app scalability. When you cache frequently used data, it is always available, and consumers may get it fast and conveniently. The use of caching significantly reduces processing time.

For example, you should always expect your mobile app to access data via an API. If the data has been cached in a cache, the app will not need to make that API call again because it will be available when another user requests comparable data.

Caching is an excellent approach to reducing the amount of data processing when the load is high. Right caching can also allow the app to work in offline mode.

How to Estimate Scalability in Mobile App Development?

Following are some of the scalability patterns for estimating scalability in mobile app development:

  • Load Testing

Local testing is a simple and low-cost method for determining your app’s current level of scalability. A load test will show your app’s performance under a prolonged high user load. A load test will give helpful information about response times, server CPU and memory use, application performance bottlenecks, etc.

  • Performance Testing

Performance testing, which includes load and stress testing, indicates your program’s overall performance. The performance testing lets you understand the app’s performance, stability, and availability statistics completely.

  • Scalability Testing

Scalability testing is performance testing designed to verify your mobile app’s scalability. Eventually, you may see how the system responds to rising and diminishing demands during such a test. This test allows you to determine where and why the software stops working.


In brief, scalable mobile applications provide pleasant UI/UX to users, allowing your business to grow and thrive. If your application is sufficiently scalable, you can handle varying user loads with minimal downtime and without negatively influencing its performance.

Share This Article