Top DevOps Trends to Watch in 2025
80% of businesses have adopted the DevOps approach.
DevOps has completely transformed software development and IT operations- improving efficiency, collaboration, and automation. The market has witnessed a tremendous evolution in DevOps due to the latest trends and technological advancements, expected to increase its market by 25% from 2024 to 2032.
The emergence of technologies like AI and ML is driving the growth, resulting in improved predictive analytics, automated testing, and advanced monitoring. In addition, the alignment of DevOps with cloud and microservices architecture has brought prominent benefits for businesses in terms of scalability, resiliency, and speedy innovations. From advanced security to real-time monitoring, many trends have been driving the DevOps landscape for overall business success and performance.
Staying ahead of the competition, and understanding the latest DevOps trends is important. Let’s uncover the top DevOps trends crucial for any business success in 2025.
7 DevOps Trends
DevOps trends are all about data that businesses might explore more in 2025. With AI/ML integrations, businesses can benefit from real-time data, optimizing resource allocation, predicting potential threats, and improving development operations.
1. Generative AI Adoption in AIOps
Generative AI is all about simplifying operations by automation and improving developer’s experience. Implementing GenAI in AIOps has transformed how businesses manage their IT operations.
Businesses can leverage AI to automate tasks, identify potential issues, and even fix them without any human intervention- saving time and reducing human errors. It helps make IT operations smarter and more efficient, leading to more productive and faster time-to-market results.
Brands like Netflix, Google, and IBM are using GenAI to optimize their workflows, including predictive maintenance in data centers, and automated software testing respectively, ultimately accelerating development cycles and improving operational efficiency.
2. DevSecOps- Improving Security Posture
It is one of the key trends of DevOps, considering 2025 and beyond. Businesses are more aware of improving their business's security postures and integrating solutions at early CI/CD stages. It helps in identifying and mitigating high-risk issues.
It is based on a “shift-left” approach, where security issues are detected and fixed at early stages, leading to more secure apps.
Businesses can automate and monitor security throughout SDLC, promoting a proactive and collaborative approach to security. About 37% of businesses adopt the DevSecOps approach for the secure app development process. The DevSecOps approach includes-
Providing security training to software developers and DevOps personnel
Creating central policies for security integration
Helping teams with cloud security training and certifications
3. The rise of Serverless Architecture
DevOps teams might increase their adoption of serverless architecture to simplify app development and management processes. In traditional setups, businesses managed and maintained their servers. But with serverless, developers can create code using GenAI tools within seconds and their cloud providers will manage all their code deployments.
Some popular services are Google Cloud Functions, AWS Lambda, and Azure Functions have optimized resource allocation and improved cost efficiency. It reduces the complexity of managing infrastructure and allows development teams to deliver features faster, with less overhead.
4. Introduction of MLOps in DevOps
MLOps aims to overcome challenges with ML projects, including building, deploying, and managing ML models in production. MLOps applies the same principles as DevOps to machine learning projects. It helps teams to collaborate, automate workflows, and ensure that models are deployed and maintained efficiently.
MLOps ensures that the model is tested, updated, and deployed to production quickly and reliably. It automates tasks like training the model, testing its accuracy, and rolling out updates without causing disruptions. This allows businesses to continuously improve their ML models and deliver more accurate predictions while maintaining a smooth, automated pipeline.
5. Automating DevOps Using NoOps and NewOps
This approach minimizes the operational requirements by automating the workflow, without any human intervention to monitor the tasks. NoOps is a way of doing this, where IT tasks are fully automated and the need to manage servers and infrastructure manually is removed.
In NoOps, things like setting up infrastructure and deploying applications are handled automatically through cloud services, without much human intervention. Big companies like Google, Facebook, and AWS use this approach to scale and run their systems because it’s impossible to manage everything manually at such a large scale. So, NoOps doesn’t mean there are no IT operations, but it’s about doing things automatically rather than manually.
However, NoOps is only relevant for a homogeneous IT environment, with minimal changes at the infrastructure level. Thus, a shift to NewOps is required to address the shifting landscape of modern IT operations, making it suitable to handle heterogeneous IT environment with several change and handoffs.
6. DevEdgeOps Pltaforms
DevOps for Edge Computing is about applying automation, collaboration, and continuous delivery to manage applications and systems at the edge of the network. In simple words, closer to where the data is generated. In traditional computing, data is processed in large data centers far away. But with edge computing, data is processed locally, allowing for faster decision-making and lower latency.
In DevOps for Edge Computing, teams use automation to deploy, monitor, and update software directly on edge devices, which can be harder to manage than centralized systems.
As the need for edge computing increases, organizations are looking for solutions that simplify the development and management of applications in edge environments. This has led to the rise of DevEdgeOps platforms, which offer tools and processes specifically designed to meet the unique challenges of building, deploying, and running applications in edge computing setups.
7. Green DevOps for Sustainability
Green DevOps is all about implementing DevOps practices with a focus on sustainability. It involves designing and implementing a DevOps approach to reduce the environmental impact of the CI/CD pipeline. These continuous processes consume a lot of resources and impact carbon footprint.
Businesses can implement sustainable practices to contribute to sustainable deployments. Brands like Netflix, Google, and Microsoft have adopted Green DevOps operations.
Netflix uses automation and containers to reduce resource use when deploying software.
Google focuses on energy efficiency and sustainability in its data centers. It uses cooling technologies, renewable energy, and efficient hardware to reduce resource consumption.
Microsoft provides tools like Azure DevOps and GitHub Actions to help users build sustainable applications.
Looking Forward
DevOps is expected to grow significantly with upcoming businesses adopting it for better performance. To take advantage of this growth, you need the right tools and strategies. These 7 trends not only help you improve your operations but also build a brand identity with faster results, scalability, efficiency, and a sustainable approach.
Hire DevOps Team that can help you unlock these benefits. At OnGraph, we understand the evolving tech landscape and how crucial DevOps is for fast, reliable software delivery. With our expertise, we can help streamline your development and optimize your entire production system.
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