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Serverless architecture is a hot topic in the software architecture world. What is Serverless and why is it worth considering?
Serverless architecture is a new buzz in app development, that significantly rely on third-party services (Backend as a Service or “BaaS”) or on custom code that runs in ephemeral containers (Function as a Service or “FaaS”). It’s a kind of cloud computing that changes the concept of app building and the best-known vendor host is AWS Lambda. Despite the name, it does not actually involve running codes without servers, it is everything about freedom from “always on” server systems sitting behind an app.
Serverless doesn’t mean that there aren’t any servers, but it means that it’s not your pain: you only specify app functions and upload them to the cloud, and you’re done to run the back-end code. A Cloud Vendor (Google, Amazon, Microsoft, etc.) is cautious in retaining the server and ensure its flawless work at quite moderate prices.
A great example of the serverless architecture is a real-time filtering of chat comments. All chat messages need to be filtered and sorted before delivering to ease the process of customer support.
If a chat works with a server architecture, the message should undergo a long way to the target user- firstly, a server then parsing, and finally a chat room. This will work well with small numbers of users. But if it’s for a greater number of users, then it will be quite difficult for the app to process the whole load. Here, a serverless app gets the attention. Only you need to write a function for sorting the messages, and the cloud vendor wraps it in a container that can be not only monitored but also cloned and distributed to any number of servers. In this scenario, chat messages go to the vendor and if needed, the vendor increases the number of containers to make sure proper logic work on any scale.
It’s important to note the benefits of going serverless on your next Custom Mobile App Development if you’re developing something like Pokemon GO.
With Serverless architecture, you can save revenue in terms of both human resources and computing power as it terminates the need for managing, deploying, and maintaining own servers. And with the serverless architecture, you need not spend a single penny for “always-on” servers. It will also reduce the operating costs from sharing infrastructure (hardware, networking) with other users on an outsourced serverless system.
As the infrastructure isn’t your pain anymore, you have more time to keep an eye on your app features and user experience. With the serverless architecture, your developers can focus more attention on the elements influencing the user experiences. You can use a cloud server, for example, to engage the users with a rich interface or a real-time interaction of various operations.
Instead of long week waits, a developer can create a serverless app within hours with the easy integration on a cloud platform. Third party service integrations such as OAuth for authentication, Facebook for social, Google for maps, and much more will greatly reduce the time consumed for the entire app development cycle. Thus, you will get more time for marketing campaigns and promotion of your future app.
With serverless architectures, an application is perfectly reliable to handle peak loads, some redundant computing power requires if we consider the hardware or virtual servers. This redundant power is not used between peaks still generates costs but you can scale horizontally as much as you want when choosing serverless. According to the load, AWS Lambda can quickly clone and distribute computing resources so that, the costs can be limited to minimum.
With the standard web-based APIs, cloud-based services are very easy to handle. By using these services for your apps, all you actually need is to coordinate and hold fast different cloud services in accord with the app’s user interface. This means you can develop highly scalable mobile applications without using any servers at all.
The scale of an application depends on the number of users, their location, and network latency. Global audiences and network latencies can shrink the user experience hence, going serverless will eliminate latencies to perform well, irrespective of the user location.
For example, Uber works on the brand-new serverless platform called Catalyst. Going with serverless architecture allows Uber team (on-demand cab service providers) to put an abstract platform between its users, its developers and its infrastructure and the serverless architecture come in handy for low-latency geo-tracking in real time.
As data loads are getting wider and wider, serverless architecture can become a standard approach for app development. Serverless architecture is an ideal choice for photo-sharing or massive data dashboards in order to minimize latency, cost, and complexity.