Successful products that solve user problems can create a significant demand and impact over time. Apps with multiple users and heavy traffic should focus on a growing user base with impeccable performance and user experience if the mobile app scalability fails to withheld the demand with expected quality. It will most likely stay in the market segment or vice versa.
If you want to ensure the credibility and essence of serving a large number of users, also you can include mobile app scalability in your app’s discoverability stage to keep it highly available and reliable as it grows ahead. You learn about scalability in 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 is your application’s ability to handle a growing user base without impacting the user experiences and the app’s performance metrics. It means that your mobile application’s infrastructure can support an enormous amount of requests per minute (RPMs).
Each user interacts with your application generated at your request to your backend – the backend should process this request with a minimum delay. A highly scalable app efficiently manages multiple requests simultaneously, delivering a seamless user experience. For Example, custom and highly scalable mobile apps that convert a website into a full-fledged mobile app for iOS and Android platforms such as APPExperts, promote your business by optimizing the scalability patterns in mobile app development.
Types of Mobile App Scalability Techniques
Following are some of the types of mobile app scalability tactics:
Vertical scaling incorporates multiple resources such as CPU, memory, network capacity, and more to the application server. It is powerful and resource-oriented enough to handle many simultaneous requests. However, adding multiple resources can be restricted based on the capabilities of current servers. Due to this, horizontal scaling is preferred in numerous use cases for mobile app scalability.
Horizontal scaling adds multiple machines or servers with the application code to leverage the capacity to the climax. The existing resources of the computing aspects don’t change at first glance. Still, the application logic may need to change to execute in parallel. This technique is well-suited and popular in distributed systems. This load balancer handles the incoming requests and distributes the load to multiple machines.
It’s not a requirement to use either horizontal or vertical scaling parameters. But if you have a hybrid system that includes vertical-scaled machines in a horizontally scaled system.
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 delving straight into scaling a mobile app, you must ensure that you have a practical reason for it. If you want to scale expenses, you need to match the growing user demands in your app to avoid unnecessary costs and preferences. Here are multiple questions you should answer that will help you to decide the possible time to improve capacity has come into existence.
- Do you expect user growth in your user base? If yes, how long would it take? Also, look at the trends in data analytics and vice versa.
- What is the annual expected number of users of your app?
- Currently, how long can you set up and serve the growing user base without losing the performance metrics?
- Are there any available events or holidays where you can observe the high demand and heavy usage?
If you want to know the answers to these questions, you will better understand where you’re at capacity and where you need to meet the huge spikes in demand. The information will also assist you in estimating the budget for scaling up your app to the next horizon.
Identify the Scalability Issues
If you already have an application, you need to discover where the mobile app scalability issues may occur using the application monitoring tools such as New Relic AMP and AppDynamics. By using the selected tracking tool, it would be best to track key metrics such as CPU, memory, and network usage.
If any of these metrics show high usage, you need to find the transactions responsible for them. Also, you need to track these results as a benchmark to see where and how to inject the scalability patterns and vice versa.
Choose the Suitable Tech Stack
Suppose your mobile app’s tech stack is the only aspect of the scalable mobile application. Hence, choosing the right tech stack comprising a scalable backend and responsive front-end technology is a must-have tactic. Consider rewriting your app if your current tech stack doesn’t rely on much room for scalability.
An app rewrite will be an essential investment initially. The ROI will follow if you consider growing a user base of sustainable customers. For Example, in Walmart’s transition from a legacy-based system to Node.js, they gain 98% growth in mobile conversion tactics.
Decide on picking up infrastructure.
The application’s infrastructure plays a significant role in achieving the desired scalability app metrics. Using the Platform as a Service (PaaS) solutions that include AWS, Azure, or IBM Cloud for your mobile app is a seamless way to meet various mobile app scalability needs and preferences. Hence, cloud services have wide scalability and pricing options, and vice versa.
For Example, suppose you select to deploy your app in AWS. In that case, the vendor will ensure all the important scaling demands on your behalf with renowned cloud solutions that offer automatic scaling where the app dynamically scales based on the current user demand. Also, you just have to define the necessary parameters, such as how many maximum servers and relevant resources such as storage, middleware, and networking the service should be allocated.
In particular, you also have the flexibility to change such parameters based on the forthcoming app usage statistics. Also, you need to scale a mobile application that serves a million users in a PaaS environment is an easy and intuitive approach to scalability metrics.
Use Caching Where Possible
Caching is another popular way to optimize the code for mobile app scalability purposes. Whenever you cache the frequently required data, it is readily available, and users can easily retrieve it faster and quicker. Caching helps significantly to reduce the processing timeframe.
For instance, always assume that your mobile app fetches data from an API call. If you have saved the data in a cache, the next time another user requests similar data, the app doesn’t need to make that API call again, as the data is readily available in the cache.
Caching is a useful method to reduce the amount of data processing when the load is high. When you use caching correctly, it can also make the app 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:
A seamless and price way to estimate the current scalability of your app is to use local tests. A load test result will tell you how your app performs under a sustainable high user load. A load test will display valuable information such as response times, the server CPU and memory usage, application performance bottlenecks, and vice versa.
Performance testing shows your app’s overall performance, consisting of load and stress testing. The performance testing gives you a sound understanding of the app’s performance, stability, and availability metrics.
Scalability testing is performance testing specifically designed to identify your mobile app’s scalability. During such a test, you can eventually measure how the system behaves when the number of requests becomes higher and lower instances. You can find where and why the application stops responding to such a test.
In a nutshell, scalable mobile applications provide the users with a positive UI/UX, which assists your business is growing ahead. If your app is scalable enough, you can easily manage the varying user loads with minimal downtime and without affecting your application’s performance.