5 DevOps Trends for 2023

DevOps is a hot topic, and it's one that we'll be hearing more about over the next few years. According to a report published by Spiceworks, DevOps adoption has increased by more than 50% over the last two years alone. But what is DevOps? And what does it mean for an IT professional or company to be "DevOps-ready?" If you're unfamiliar with this trend, here are some answers:

What Is DevOps?

DevOps is an organizational shift towards greater collaboration between software developers and IT professionals. It involves new processes and technologies designed to bring both sides together in order to build better products faster with higher quality. This may sound simple enough at first glance but the reality is much more complex because of how intertwined these two groups have traditionally been within organizations' infrastructures. In other words, bringing them together requires a fundamental change in how people work together day-to-day as well as how they communicate across silos such as development teams versus QA testing groups for example or even between developers themselves who may not have worked together before joining forces on a project team."

These are the top 5 DevOps trends to look up in 2023.

It’s time to start preparing for 2023! The future is now, and it's time to start thinking about what’s going to happen in the next few years.

To help you prepare for this coming decade, we've put together a list of the top 5 DevOps trends that you should be looking up:

Serverless Computing

Serverless computing is a kind of cloud computing that allows you to build and run applications without thinking about servers. Serverless platforms allow developers to focus on their code, while the platform handles everything else.

You might find yourself wondering, why would I ever want all this extra stuff? Well, in large part serverless is useful because it's so easy! You get started by simply writing your code and uploading it to a serverless platform like AWS Lambda or Azure Functions—no provisioning required! And since there's no need for servers or load balancers or other infrastructure in order to run an application built using serverless architecture, it's much more efficient than traditional architectures (which typically require containers).

Using serverless technology also allows developers who aren't experts in DevOps tasks like setting up servers and databases from scratch more freedom when building their apps: they can just write their code without worrying about how the thing will actually work once deployed into production systems. This means that although these days many teams still use both traditional and serverless approaches side by side depending on where they're deploying applications (e.g., some might choose AWS Lambda as well as Kubernetes clusters), there are plenty out there who are now only deploying their apps through this newer method thanks mainly because its made deployments so much easier!

AIOps (Artificial Intelligence for IT Operations)

The next big thing in DevOps is AI for IT operations.

AI is a set of technologies that are trained to learn from data, enabling them to perform specific tasks with minimal human intervention. Machine learning is an advanced form of AI where the machine uses a training set of data as its input and learns how to make decisions based on this data. AIOps (Artificial Intelligence for IT Operations) is the application of machine learning on top of existing IT tools and platforms to improve their effectiveness by automating the process of monitoring, detecting and resolving issues more quickly than humans could do manually; reducing downtime; increasing efficiency; reducing human error; improving security etc., all while providing better visibility into your entire infrastructure’s health status (aka “the known unknowns”).

Low Code Applications

In the old days, software development was a complex process that required a lot of time and effort. But now, thanks to low-code applications, you can build your own software in just minutes.

Low-code applications are new tools that allow you to create robust products without writing any code yourself. Instead of writing lines upon lines of text, you simply use point-and-click interfaces to choose from a library of pre-built components and drag them together into your project. You don't have to be an expert programmer—anyone can learn how these tools work in less than an hour!

Kubernetes

Kubernetes is a container orchestration tool that allows you to run containers across multiple hosts. It's the most popular and widely used container orchestration tool, with over 50,000 deployments in the wild according to CNCF.

Kubernetes was developed by Google, but since its inception it has been owned by the Cloud Native Computing Foundation (CNCF), an independent non-profit organization founded in 2015 for the advancement of cloud-native computing.

DevSecOps

DevSecOps is a practice that is gaining traction in the software development world. The term was first introduced by Gene Kim and Kevin Behr, two authors of the DevOps Handbook.

The goal of DevSecOps is to integrate security into the software development lifecycle, which means that it's not only about adding security at the end of a project or process but rather embedding it into all stages throughout the life cycle. This can be achieved through automation tools like Terraform or Puppet, as well as continuous monitoring so that any changes made are checked for potential vulnerabilities before deployment occurs.

Conclusion

The future is coming, and we need to be ready for it. We've highlighted some of the most important DevOps trends to watch out for in the next few years here, but there are countless other technologies that will continue to change how you do your job. We hope this article has given you a sense of what's coming down the pike (and given you some ammo for your next office lunchtime debate).