DevOps includes best practices that add quality to software releases and aid their development process. The focus is on automation of software development and enhanced collaboration between IT and software development.
DevOps serves as a bridge between IT operations and development. It assists in speedier value addition and continuous process improvement. Infrastructure as a code, continuous integration, and continuous delivery are intrinsic to DevOps practices. It is implemented with the help of several tools and technologies.
DevOps trends in 2024 will focus on data. There will be increasing deployment of AI and ML to drive continuous improvement and enhanced user experience. This will be done by analyzing vast data streams and predicting potential events and issues.
The user experience is being transformed with the use of AI-powered UI designs. AI facilitates the personalization of the user interface to match user preferences. User data & behavior are analyzed to develop a seamless & immersive experience. AI-powered products like ChatGPT and OpenAI are transforming several areas of human interaction.
In this MarsDevs article, we will examine the top 7 DevOps trends that are driving the technological sector in 2024. So, let’s get started!
Advantages of adopting DevOps
Increased automation and scalability
Better use of resources
Better handling of operational settings
Efficient problem solving
DevOps is being increasingly influenced by AI & ML
“The highly powerful resource we got as developers is automation.” — Scott Hanselman
Top 7 DevOps Trends of 2024
Here are the top 7 emerging trends in DevOps that you must check out!
AI & DevOps
The market for AIOps is poised to grow significantly at nearly 15% in the coming years. The accuracy of AI models hinges on the quality of data and enrichment. It will facilitate quick model development and evaluation.
The deployment of AI in DevOps encompasses computer vision, chatbots, ML (machine language), and NLP (natural language processing). AI can be harnessed to automate many labor-intensive tasks. AI can be leveraged in DevOps to reduce errors, and enhance productivity, and accuracy. AI-powered DevOps solutions have the following features:
Better accuracy and consistency
Better security
Higher speed and efficiency
Optimal use of resources
AI in DevOps facilitates CI/CD (Continuous Integration and Continuous Deployment). AI drives incident management by analyzing data and detecting patterns. Chatbots and virtual assistants harness NLP to improve team communication & enhance user experiences.
The software landscape is changing with the integration of AI and DevOps. High-quality software products can be developed quickly and companies can gain a competitive edge.
ChatOps
ChatOps has emerged as a powerful DevOps that has unleashed a transformation in communication. Integrated with NLP (natural language processing) and AI, chatbots can be developed to resolve issues and troubleshoot proactively and in reality.
The conversational interface enhances the user experience. The line between machine-human interactions is now getting blurred.
Serverless Architecture
Serverless computing indicates a model wherein the logic runs in containers that are managed by third-party platforms. Serverless architecture can support DevOps functions. DevOps plays a crucial role in the development cycle, from building and testing to deployment and monitoring.
Developers won’t rely on the underlying infrastructure. Servers are provisioned by the cloud provider to run the databases, applications & storage. Glue code is deployed using serverless services. This is possible with the help of IaC (Infrastructure as Code).
The responsibilities of software and security updates, backups, and maintenance of server hardware are managed by third-party providers. Developers can concentrate on application code. The dynamic allocation of machine resources by the cloud provider facilitates scaling, quick development cycles, and cost savings.
AWS Lambda, Azure Functions, and Google Cloud Functions are leveraged to optimize cost efficiency and utilization of resources. The development processes are accelerated and the performance is enhanced.
Serverless functions can be deployed for IoT data processing in reality for quick analysis and decision-making. FaaS (function as a service) involves application code creation as discrete functions. These functions are tested and deployed on the cloud.
Based on a trigger, the function is executed. A running server is provided for executing this function. The function is executed on a newly-spun server if there is no server running.
IaC & IaC Maturity
IaC (Infrastructure as Code) is another DevOps trend gaining traction in 2024. This is largely because it drives efficiency and fewer errors. Developers widely adopt IaC as it is more consistent, quicker, and scalable.
IaC involves managing and provisioning the infrastructure through configuration files. Manual processes can be eliminated. This significantly reduces the time for defining and computing resources for storage, networks, etc.
Infrastructure as Code (IaC) allows teams to automate the provisioning of their infrastructure using code rather than manual processes. It streamlines functions & ensures consistency over multiple workspaces. IaC will soon integrate with cloud technologies to provide efficient resource management.
Kubernetes & Docker
Kubernetes is emerging as a popular deployment framework for large container groups. Kubernetes facilitates serverless architecture by efficiently managing resource allocation. However, it can be deployed by trained professionals who are adept at maintaining this platform. Kubernetes cluster is set up in the cloud to manage the resources.
Kubernetes facilitates automated containerized applications. It can be harnessed for multi-cloud space in deployment, management, and app scaling. This open-source platform is used for efficient resource allocation across different environments.
Docker is another containerization platform that facilitates quick creation and deployment of applications. Containerization refers to packaging applications into container units for easier deployment and management.
Cloud Adoption
The global market for cloud adoption is poised to grow to more than $1 trillion in 2024. Cloud computing will continue to drive the software market considering the competitive advantages it offers.
DevOps can be strengthened with several advanced capabilities with cloud features. DevOps tools can then support multi-cloud deployments, container support, and more.
Virtualization
Virtualization is gaining in popularity with the rise in remote work. Remote desktop technologies are coming in for increased focus, to reduce the risks of device and intellectual property theft. Cyber threats are becoming more commonplace.
Final Thoughts
Software solutions have to become more secure and compliant. They must offer robust security features to gain a competitive edge. Charles Darwin exclaims, “It’s not the strongest thing that survives, nor the intellectual, but highly responsive to adapt.”
Businesses must keep pace with software development trends to stay relevant and competitive. Several new opportunities in DevOps can be implemented to improve operational efficiency.
Organizations must swiftly adopt digital transitions and innovations. Are you looking to understand more about DevOps? Grab a free 15-minute call with us today.