VERTICAL OPTIMIZATION: AI AGENTS IN THE DEV-OPS ERA
Feb 2025 · Xoffencer International Book Publication House
Ebook
221
Pages
reportRatings and reviews aren’t verified Learn More
About this ebook
DevOps, which stands for software operations and development, is a dynamic industry that places a strong emphasis on automation, scalability, and efficiency. Vertical optimisation, as defined in the context of artificial intelligence agents, refers to the process of strategically improving each stage of the DevOps pipeline by the use of AI. The following are included: monitoring, testing, deployment, and development of the code. Through the implementation of AI agents into workflows, organisations have the potential to improve efficiency, reduce the likelihood of errors caused by humans, and accelerate the delivery of software. As a result of the shift towards vertical optimisation, DevOps is evolving into a more comprehensive approach, with artificial intelligence acting as a guide to enhance innovation and operational efficiency across the whole development lifecycle, rather than only being a tool applicable to certain tasks. As we move into the era of DevOps, teams are able to automate complex tasks, analyse large amounts of data, and make decisions based on the data in real time with the assistance of artificial intelligence agents. Artificial intelligence (AI) has a variety of uses. For instance, it may improve code quality by automatically evaluating and providing feedback on modifications, it can analyse historical performance data to predict system failures, and it can manage deployments by selecting the environment settings that are optimal. DevOps engineers are able to devote more time to important initiatives as a result of the automation of these monotonous and error-prone activities. This, in turn, makes the development environment more agile and responsive. Because of the ongoing development of artificial intelligence, its role in vertical optimisation will continue to expand. This will make it possible to integrate the various stages of software development in a seamless manner, which will ultimately result in software delivery that is both more efficient and more expedient. One of the goals of this transformation is to reduce the amount of time it takes to bring a product to market. Another purpose is to encourage innovation that can adapt to new technological developments and shifting customer needs.
About the author
Dr Aadam Quraishi, MD,.MBA has research and development roles involving some combination of NLP, deep learning, reinforcement learning, computer vision, predictive modeling. He is actively leading a team of data scientists, ML researchers and engineers, taking research across a full machine learning life cycle - data access, infrastructure, model R&D, systems design and deployment.
Rate this ebook
Tell us what you think.
Reading information
Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.
