DevOps is not a buzzword anymore. The software development methodology is disrupting the way businesses operate. From SMBs to enterprises, everyone is benefiting from its adoption. DevOps solutions assist organizations in automating and streamlining their software development and delivery process. This results in increased software product efficiency, productivity, and quality. In just a few years, it has transformed the software development landscape.
As reported by Markets and Markets, the DevOps market size is expected to grow from $2.90 billion in 2017 to $10.31 billion by 2023, at a CAGR of 24.7%. This growth is attributed to the rising need for agility, efficiency, and quality in the software development process. There is no doubt that DevOps will continue to transform businesses in the years to come. Let’s dive deeper to know more about DevOps trends.
Six DevOps trends that will shape the future of businesses in 2023
With this notion of moving forward with the times, here are six DevOps trends that will shape businesses in 2023:
1. Serverless computing
There’s no denying that serverless computing is on the rise. More and more custom software development companies are turning to this cloud-based architecture to build and deploy applications. And it’s easy to see why. Serverless computing can help you save time and money, scale your operations more easily, and focus on your core business.
This technology has a number of advantages for custom software development company. First, it’s much faster and easier to set up a serverless environment than a traditional one. This means you can get your applications up and running quickly, without having to invest in hardware or infrastructure. Second, serverless computing is highly scalable. You can automatically provision additional resources as needed, without having to go through a lengthy approval process. Finally, serverless computing frees you from having to worry about routine maintenance tasks such as patching and backups.
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2. Artificial intelligence and machine learning
One of the most important DevOps principles is “automation.” This is where ML and AI come in. By automating tasks like provisioning, monitoring, and deployments, you can free up your team’s time so they can focus on other things. And automating these tasks can help to improve your organization’s overall efficiency.
ML and AI are also being used to help predict problems before they happen. This is done by analyzing data and looking for patterns that could indicate a potential issue. By doing this, you can fix problems before they cause downtime or negatively impact your users.
In short, ML and AI are the future of DevOps because they help to automate tasks, improve efficiency, and predict problems before they happen. If you want your organization to stay ahead of the curve, you need to start incorporating these technologies into your DevOps workflow.
3. Cloud-native technology
Cloud-native technology includes microservices, containers, and other modern technologies. In a traditional on-premises environment, the software is installed on physical servers and then accessed by users through a network.
In a cloud-native environment, however, the software is deployed in virtual containers that are spread across different physical servers. This approach offers several advantages, including increased scalability and flexibility, reduced costs, and improved security. As more organizations move to the cloud, it’s likely that cloud-native technology will become the norm for DevOps.
Netflix is a big proponent of cloud-native applications. The company has built its entire business on the cloud, and it has developed a number of open-source tools to help other organizations do the same. One of these tools is Spinnaker, a continuous delivery platform that allows you to release software quickly and safely.
4. Microservices architecture
Microservices architecture is rapidly becoming the standard for DevOps. Here’s why: with microservices, code changes are isolated to individual components, making them much easier to manage. This means that code updates can be released more frequently and with less risk.
In addition, microservices architectures are highly scalable, making them ideal for applications that need to handle large volumes of traffic. Finally, microservices allow for a greater degree of flexibility in terms of how DevOps teams are organized. With all of these advantages, it’s no wonder that microservices are the future of DevOps.
The tech giant Amazon uses microservices to automate various operational processes and to manage its vast network of servers.
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5. Rise of DevSecOps
The rise of DevOps has led to a set of several challenges, as organizations attempt to secure their environments against increasingly sophisticated attacks. The solution to these challenges is DevSecOps, which brings security teams into the fold and helps to ensure that security is built into the software development process from the beginning.
DevSecOps will transform the future of DevOps by helping organizations to deliver more secure software faster than ever before. In addition, it will help improve collaboration between businesses and security professionals, leading to better adherence to security practices. As a result, the adoption of DevSecOps will be essential for any organization that wants to stay ahead of the curve in the rapidly changing world of software development.
A recent example of a company that has adopted DevSecOps is Facebook. Facebook has implemented a number of security measures into its software development process. As a result, the company has been able to reduce the number of security vulnerabilities.
6. IoT and edge computing
The Internet of Things (IoT) is a network of physical devices, vehicles, home appliances, and other objects that are connected to the internet. These devices are able to collect and exchange data, making them more intelligent and efficient.
Edge computing is done at or near the source of data. This is in contrast to traditional centralized computing, which involves sending data to a central location to be processed. Edge computing is well-suited to IoT applications, as it helps to reduce latency and improve performance.
IoT and edge computing are two of the most important trends in DevOps. IoT devices generate large amounts of data that need to be processed quickly, making edge computing an essential part of any IoT solution. Moreover, IoT is driving the need for automation in DevOps, as organizations attempt to manage the increased complexity of their environments.
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Wrapping up
The future of DevOps is likely to be defined by a number of trends, including the move to the cloud, the rise of microservices, the rise of DevSecOps, and the growth of IoT and edge computing. Each of these trends is driving the need for more automation in DevOps, as organizations attempt to manage the increased complexity of their environments. As a result, the future of DevOps is likely to be very exciting, with new tools and technologies emerging to help organizations deliver software faster and more securely than ever before.
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