DevOps trends and predictions
Adopting DevOps concepts helps the business to become naturally composable, with product development firmly founded on customer insight and feedback. The delivery of software is also faster, in part due to hyper-automation but also because developers and operations engineers collaborate more effectively and independently with a common sense of accountability for success. Automated updates also help to improve cybersecurity. Additionally, operations engineers can concentrate on more complex delivery of operations and enhanced security measures because they have less unexpected work to manage.
According to Fortune Business Insights, the global DevOps Market Size is projected to reach USD 14.9 Billion in 2028, at a CAGR of 19.1% during the forecast period [2019-2028]. This information is published in a recent study by Fortune Business Insights™, titled, “DevOps Market Size, Share & Industry Analysis, By Offering (Software, Services), By Deployment (Public Cloud, Private Cloud, and Hybrid), By Organization Size (Large Enterprises, Small and Medium Enterprises), By Industry (BFSI, Retail, Government, Manufacturing, IT & Telecommunication, Healthcare, and Others), and Regional Forecast, 2019-2028.”
The technology DevOps trends to watch
As a result of more companies adopting DevOps methodology, new DevOps trends are emerging. Understanding that DevOps transformation is an ongoing process is essential. These DevOps trends will help your company enhance its ability to design, produce, launch, and maintain high-quality software:
- Multi-cloud Environments -Today, we are still far from multi-cloud environments, but the growing need for flexibility will encourage more companies to avoid lock-in with a single provider and to use a combination of multiple cloud providers. This comprehends a combination of private, public, and edge clouds in order to secure data durability. The future development of cloud computing will lead to the need for DevOps engineers to seamlessly access data in multiple locations across different clouds, which will lead to increased productivity, better performance, and faster response.
- Serverless computing – Serverless computing is a cloud-based model that consists of providing access to an application without requiring a specific machine or virtual server. No need for hardware and software infrastructure. No need for a host to build, test, and deploy because serverless computing is creating codes for developers. This outsourced infrastructure is eliminating the risks, allowing more focus on development and deployment.
- Low Code Application – In the quick-paced, competitive software market, the agility that low-code offers will give practically any business a major competitive advantage. Without knowing any code, you may create apps using low-code platforms. By developing straightforward and user-friendly apps, this DevOps trend streamlines the entire development and deployment process.
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Kubernetes and GitOps – Despite being available since 2013, Kubernetes has just recently begun to gain traction as a method for deploying containers in large companies. One method for setting up and running Kubernetes clusters is GitOps. GitOps is a code-based infrastructure and operational procedure. GitOps, a relatively new addition to the DevOps workflow, aids teams in automating and managing infrastructure. Developer teams can manage infrastructure and software deployment using Git pull requests. Continuous delivery enables development teams to build, test, and deploy software more quickly.
- DevSecOps – Security concerns are growing alongside the digital transformation. With the security integrated into CD/CI pipeline, DevSecOps integrates best practices in software development, delivery, and operations, lowering the risks and vulnerabilities in the applications, and putting emphasis on security and observability.
- AI-driven – Advanced analytical techniques like predictive analytics will become more and more crucial as the market develops. Organizations may fully automate DevOps thanks to AI. Most often, AI is included in the software to improve its functionality. With the help of AI, DevOps teams can test, code, release, and monitor software more efficiently. Teams can increase automation, recognize and fix problems quickly, and collaborate more effectively when AI is implemented.
Conclusion
The software deployment process is supported by DevOps tools in terms of stability and security. Internet of Things (IoT) adoption, customer happiness, and high operational flexibility are becoming more and more important in the sector, leading towards high demand for DevOps adoption. These key DevOps trends are predicted to develop further and to be the top growth drivers in the years ahead.
Resources:
https://www.linkedin.com/pulse/future-devops-solutions-services-predictions-2023-harjodh-singh/
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- Empowering Women in IT: Promoting Diversity and Inclusion in the Industry - March 8, 2023
- Unlocking the Power of Low-Code and No-Code: Simplifying App Development - January 17, 2023
