Software development has never been more important for the success of your business. But the rapid change in technology can be overwhelming for IT teams.
Here are 4 software trends IT teams need to be following in 2023.

1. Serverless Development
What is Serverless Development?
Serverless Development is a cloud native computing method that allows developers to build and run applications without having to manage servers. Sometimes referred to as serverless architecture, Function as a Service (FaaS), or serverless, a serverless provider like Amazon Web Services (AWS) Lambda, Google Cloud Functions and Microsoft Azure Functions provides backend services on an as-used basis.
The term “serverless” is a bit misleading as this system does involve servers. However, instead of running your microservices yourself, they are run on servers owned and managed by a third party. A core component of cloud native computing, microservices are responsible for doing only one function but doing it well. So instead of creating a large application that contains 100 services, or functions, developers create 100 tiny applications each made up of only one function.
Amazon Web Services (AWS) Lambda, Google Cloud Functions and Microsoft Azure Functions are just a few of the popular third-party providers of serverless development.
FaaS allows developers to simply write their code and upload it to their cloud provider’s FaaS server. The cloud provider takes care of the rest. Whether the provider uses a container, a lightweight virtual machine (VM) to run the function, or some other method, you’ll never know. And you don’t need to know. Because the provider will do all it can to keep that function up and running. And if for some reason the function were to go down, the FaaS would automatically spin up another instance of it.
In addition to managing the infrastructure needed to host the application, the provider manages any on-demand scaling that could be required, depending on the size of the workload demanded from your code. Every time an event occurs that causes the function to run, you pay only for the run time. So rather than paying 24/7 for someone in-house to manage the functions on the backend of your website, you just pay for the function to run and don’t have to worry about managing the infrastructure housing your code. The provider may house your code in a container, a lightweight virtual machine (VM), or in some other facility on their servers. You won’t know what type of facility the provider uses to store your code, and it doesn’t matter because that’s all handled by the FaaS.
FaaS at Work
To see how this work, let’s look at an example of this using a fictitious tickets company, Fictitious, which sells tickets to events online. Fictitious is selling tickets to a Broadway touring company that’s coming to a large city for eight days. When tickets become available months in advance of the production, tickets sell very fast at first. So there’s a lot of transactions that are occurring on the backend. The people who are big Broadway fans are champing at the bit to get their tickets as soon as they go on sale. Other people will wait and buy their tickets later. So the transactions slow down after that first burst of ticket sales. Ticket sales may slow down to a crawl over time. You don’t have to worry about scaling up when tickets first go on sale or scaling down once the transaction rush has subsided. Your FaaS automatically scales up and down the infrastructure that is needed to handle the transactions and ensure high availability, meaning the system continuously operates without fail. With serverless, you only pay for the service when the transactions are occurring and you don’t have to manage a thing.
Why is Serverless Development a trend in 2023?
Only Pay For What You Use. You only pay for the functions when they are in use. Improved Productivity. Traditionally, developers invested hours every week maintaining their server infrastructure. Since there are no servers or infrastructure to manage, developers and engineers can focus on creating new code and managing other infrastructure, resulting in faster development and delivery cycles for applications. Scalability. If demand for your app is higher than expected, the FaaS automatically ramps up the infrastructure needed to maintain a positive user experience. The FaaS is responsible for scaling down as functions decline. Whether the FaaS scales it down or not, it doesn’t affect you because you only pay for the functions when they’re in use. 2. Containers
What are containers?
To develop cloud native applications, developers use microservices rather than a monolithic application architecture. A means to implement microservices, containers are packages of software that include all the necessary elements to run an application in any environment whether that’s on software or hardware on-premises or in the cloud. Containers comprise only the required binaries, libraries and images: a file that includes executable code so it can run an isolated process. Rather than putting hundreds of functions, or services, in one large application, each one of those services is put inside a container, so each service operates independently from the others. That way, if one of those hundreds of services fails, the other services are not affected and continue to work. In contrast, when all those services are inside one application, if one service breaks, it could affect other services in the application and could even cause the entire application to stop working. There’s a simple but more extensive explanation of containers and monolithic applications here.
A container can run on a physical or a virtual machine (VM). Because they are lightweight, containers start up quickly, within milliseconds, rather than the few minutes it takes for a VM to start. By using a container orchestrator like Kubernetes, you can group many containers together to deploy and manage a larger application. To the end user, it looks as if there is only one application, but on the backend, all these small applications work together using Application Programming Interfaces (APIs) gateways to know when to carry out their functions.
Containers must be built to run on the OS of the server that will be hosting the container. So if a container is going to be run on Linux, it must be built to be compatible with Linux. Containers run on a container engine, such as Docker or Oracle Cloud Infrastructure Compute (Fig. 3). On the host’s system, containers share a kernel—a piece of code in the OS that schedules programs to run. The container engine exposes parts of the host operating system into a partitioned area where the containers are, making them quick to start-up.