With the new technologies available, you should know some important things if you want to be a successful backend developer in 2022.
1. DevSecOps
DevSecOps is a security practice for developers. It combines DevOps and Security to build security into the software development lifecycle (SDLC), rather than as an afterthought or out of scope.
DevSecOps has become popular recently, with many businesses and organizations adopting it as part of their product development process. DevSecOps aims to improve the security of software products and services by embedding it into the SDLC so that it takes on culture and becomes part of everyone’s day-to-day workflows instead of being something separate that only gets attention when there are problems or issues arise at hand.
2. Serverless Computing
Serverless computing, which is often gets referred to as functions-as-a-service (FAAS), is a new cloud computing architecture. Unlike traditional cloud computing, serverless architectures are designed around event-driven logic. Instead of having an application that runs on a server and waits for requests from users or other applications, FAAS’s code executes when triggered by an event.
This new approach makes it easier for developers to write code because they no longer have to worry about managing servers or worrying about scaling up capacity with traffic spikes—they just write their functions and publish them online for anyone to use them. For example, let’s say you want your app to send out notifications when there’s breaking news about your favorite TV show—you could create a function that listens for mentions of the show in social media messages so that it knows when there’s news worth sharing with fans.
3. Containers
Containers are lightweight and portable. They allow you to run multiple applications on a single host by using a single operating system kernel and file system. This allows for easy deployment, operation, and scalability from a single server to an entire data center.
Containers are more secure than virtual machines because they use Linux kernel features called namespaces and control groups (cgroups) that prevent apps from accessing resources beyond those the app needs; they have mandatory access control that prevents one container from seeing another’s data; running in user space which means there’s less attack surface compared to when they’re running in kernel mode; include fine-grained capabilities that limit what an application can do even when it has root access; execute only as long as necessary, so there’s no performance penalty due to memory leaks or fragmentation problems associated with persistent processes (Windows).
Containers also provide a clear delineation between the application stack (e.g., service discovery tools like Kubernetes) and its underlying infrastructure so that teams can focus on writing code rather than dealing with issues related to maintaining servers/OSs/etc.
4. GraphQL
GraphQL is a query language for APIs. It’s a type-safe, strongly typed language that uses a declarative data fetching approach. GraphQL has been around since 2015 but has gained significant traction over the past few years.
When using GraphQL, you define your API schema using a graph-like structure where nodes are objects and edges are relationships between them. The schema defines how data can be accessed from the server rather than how it’s stored on the server itself; this allows developers to focus purely on the data being requested by clients without having to worry about its internal implementation details (such as database tables).
GraphQL gives you complete control over what gets sent back to the client so that you only need one request per operation rather than multiple requests with several parameters each time you want something specific from your backend system; this reduces latency significantly while also reducing network traffic because each request only contains what’s required at any given time instead of several unnecessary bits of information each time someone makes an HTTP request against your API endpoint
5. The Multi-Cloud Strategy
The multi-cloud strategy has several benefits, but it also comes with challenges.
- The benefits of using a multi-cloud strategy include:
- Easier scaling across different infrastructure providers for better performance and greater ability to handle demand spikes
- Faster integration with third-party services and APIs via integrations that are built directly into the cloud service (for example, AWS Lambda)
- The challenges of using a multi-cloud strategy include:
- The complexity associated with maintaining multiple systems in sync
- One way around this is to use containerization software like Docker, which allows you to package all your dependencies into containers that run across different platforms. This means that you don’t have to worry about installing everything on each platform. You can simply deploy your code once, and it will work everywhere!
Conclusion
With so many different technologies and techniques available for creating web applications, it can be hard to keep up with the latest advances. While there’s no need to throw everything out and start from scratch, you should be aware of what’s going on in your industry so that you’re prepared when it comes time for an upgrade or new project.
I’m is an owner of Venostech.com, blogger, Android and technology enthusiast. Individual who are educated in the IT and like to write according my scope.
