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This year promises to be a watershed in the understanding and use of DevOps, making major adjustments to the practices and tools we already know. New trends, from the use of artificial intelligence in AIOps to delving into serverless technologies and an increased focus on security through DevSecOps, not only optimise current processes but also open the door to new opportunities and challenges. Below, we look at how these key trends will impact DevOps in 2025, highlighting their significance for professionals and organisations.
Below, we have compiled the top trends in DevOps in 2025
1. Utilising GenAI in AIOps
GenAI enables AIOps systems to generate real-time solutions and optimisations, providing unique capabilities to predict failures and automate management processes. This approach improves the reliability and efficiency of operational processes and reduces the time to detect and resolve incidents, delivering higher levels of user satisfaction and business efficiency.
2. DevSecOps continues to grow
Recently, the focus on software security has increased significantly due to serious attacks that have exposed weaknesses in supply chain processes. This has led to security aspects becoming an integral part of the software development and delivery process. DevSecOps, evolving through continuous improvements, is becoming critical to prevent risks associated with vulnerable software.
3. Moving to serverless architecture
The move to serverless architecture is becoming a significant trend in software development. This model allows developers to focus on building and optimising code while infrastructure management is shifted to cloud service providers. This model provides greater flexibility and scalability, optimising costs and simplifying the application deployment process.
Serverless technologies automatically adapt to application needs, ensuring efficient resource utilisation and enabling companies to respond faster to changing market demands.
4. Infrastructure-as-Code (IaC) development
IaC increases flexibility, reduces the risk of manual configuration errors, and simplifies the automation of resource deployment, reinforcing DevOps automation principles to achieve a more stable and predictable infrastructure.
5. Apple's silicon release cycles
While not the most obvious point, it is also important. We are currently at the peak of Apple Silicon, the era in which Apple began manufacturing its own processors. In 2023, the world saw the launch of the new M3 series processors and the completion of the transition of the Mac lineup to Apple Silicon, opening the door for innovation and improvements.
The increased use of Apple technology in business environments requires companies to be flexible enough to adapt to Apple's shorter chipset refresh cycles, which promise significant productivity gains.
6. Increased adoption of eBPF tracing
eBPF will continue to dictate trends in 2024, providing detailed insight into kernel activity with minimal performance overhead.
Tracing tools like bcc and bpftrace are gaining popularity for performance diagnostics without requiring time-consuming manual configuration of libraries in each application, like OpenTelemetry. The emergence of tools like Odigos, which use eBPF to automate request tracing in applications, greatly simplifies the work of engineers, reducing workload and errors. Open source and community support make eBPF an even more accessible solution.
7. GitOps goes mainstream
GitOps stands out in DevOps as an approach that involves managing infrastructure through git repositories, treating it as code. This method relies on familiar Git processes and tools to deploy, update, and modify infrastructure configurations, providing a declarative view of the state of applications and their development path. GitOps is expected to become even more prevalent in large companies in 2025 due to its ability to adapt quickly to change, which has proven effective in dynamic and agile teams.
After-word
In conclusion, DevOps trends for 2025 reflect the industry's desire for deeper integration, automation, and smart optimisation of development and operations processes. From the move to serverless architecture to the emphasis on security through DevSecOps, these trends emphasise the importance of agility, security, and efficiency. With technological advances such as artificial intelligence and machine learning, DevOps will continue evolving, providing tools and methodologies to create more reliable, scalable, and secure systems. Supporting these trends requires professionals to learn and adapt to a rapidly changing digital world.
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