mobile app development

Why Scaling is the Biggest Challenge in Developing Apps with Realtime Features

Real-time features in mobile apps is something indispensable.

Scaling real-time features in mobile apps

We’re relying more and more on mobile apps with each passing day. They’re part of everything we do, everywhere we go, and everyone we talk to. That’s a ripe opportunity, but with great opportunity comes great challenges, especially when it comes to scale.

Mobile apps have changed the way we connect, get around, eat, play, meet, and everything in between. It’s very apparent how important mobile apps have become to our everyday lives. And with that adoption, user expectations have also grown.

Mobile apps are growing increasingly data-intensive - location, updates, data streaming - mobile apps are sending and consuming massive amounts of data at all times of the day. And that means significant challenges for developers, with scale being the biggest.

Here is everything that you need to know about scale in realtime features in mobile apps.

What is Scale?

Scale is a fairly broad term, but in the world of realtime functionality of apps, scale is maintaining and ensuring reliability and performance as your user base grows, depending on the number of users, their app usage and where they’re located across the globe.

With realtime features in mobile apps, scale is very apparent and tangible. Because realtime delivers data and experiences instantaneously, fluctuations in efficiency and performance are easy to spot and incredibly frustrating to users.

Scale Comes Down to the Infrastructure

Scale may not be top of mind in the early stages of mobile app development, but as apps and features grow in adoption and usage, the phrase what works in the lab is not guaranteed to work in the wild emerges. That’s because a ton of engineering goes into realtime infrastructure.

So, as a developer, how well your realtime app scales depends a lot on a build vs buy decision, which is more of a spectrum than a black and white decision. How much infrastructure do you want to build and maintain yourself, and how much do you want to utilize hosted services and vendors?

Let’s walk through what it takes to build a scalable realtime infrastructure.

  • Spinning up multiple testing, staging, and production environments.
  • Coordinating provisioning for those multiple environments (from straight-up rack-and-stack in a data center to Kubernetes containers).
  • Deploying your application code to the environments.
  • Data replication for multiple points of presence and automatic failover to ensure that messages are delivered 100% of the time (and actually in realtime).
  • Message “catch-up” in case of connection dropout (if a user is in a tunnel, for example, they’ll receive the message when they come out the other side).
  • Setting up service management, system monitoring, and ops alerting.
  • Creating a load balancing scheme (like Nginx or HAProxy).
  • Implementing a scheme to segment data by channels or topics.
  • Finding a store and forward solution for signal recovery, like in-memory caching.
  • Implementing a method to detect connect individual clients to the ideal data center and port (broadly speaking, global server load balancing).
  • Computing which channels/topics to send/receive for a given client.
  • Building orchestration between data centers/cloud regions to ensure data reliability between endpoints.
  • Deciding which platforms and languages to support.
  • Creating universal data serialization.
  • Customizing code to detect data uplink that works across device types.
  • Determining Quality of Service and level of loss boundaries, and developing a data recovery scheme.
  • A custom-built load testing service that can simulate a real audience.
  • Creating update protocol & continuously modifying your network to support new products/services.
  • Paying for Socket server costs, QA systems, and hot failovers.
  • Ongoing Ops monitoring and additional headcount required.
  • Building a load distribution system.
  • Identifying error messages.
  • Building a log system.
  • Knowing when faults occur and developing a playbook of responses.
  • Building service management (like PagerDuty).
  • Developing multi-datacenter deployment.

So, as you can tell, a ton of engineering and expertise goes into designing, deploying, and orchestrating a scalable realtime infrastructure. If you’re thinking of building and maintaining your own backend infrastructure with open source technologies and resources, you’ll be faced with these challenges. To do this well, expertise in DevOps, server-side technologies, and more is essential. 

Not to say it’s impossible, but for teams both small and large, hosted services provide reliable and scalable backend realtime infrastructures, relieving you the stress, and responsibility, for delivering the seamless, reliable experience for your end users.

What Else In Scaling?

Scaling an app with clock-wise precision is a tough nut to crack even for the skilled developers. A realtime app that hasn’t been scaled exhaustively will pop up a lot of issues like slow page loading, network connections start time out, and more.

For an ideal app, the user experience needs to be fast – speed.

But scaling comes at a cost. It’s a well-known fact scaling introduces complexity. Here are some of the problems that you may creep in:

  • Adding new features may take long
  • Harder code testing
  • Finding and fixing bugs becomes a task in itself
  • Striking balance between local and production environments is tough.

So, it’s crucial to scale real-time features in mobile apps and make it an absolute breeze. For more inputs on the app scaling and developing realtime features in mobile apps, do comment below and we at ‘MobileAppDaily’ will assist you in every possible way.

Joe Hanson <span>Technology Writer</span>
Written By
Joe Hanson Technology Writer

Joe Hanson is a technology writer at PubNub. He's been published in Programmable Web, The Next Web, The New Stack, Hacker Noon and freeCodeCamp.

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