The concept of DevOps was born with the purpose of fostering collaboration between the development and operations teams in order to streamline the software development life cycle. Numerous organisations are already reaping the benefits of DevOps. And now, AI and ML are being increasingly used in DevOps pipelines. The aim is to increase the operational efficiency and productivity. A shift towards automation can improve the overall performance of the system. In order to get optimum results, engineering teams adopt AI and ML techniques that can make maximum use of the underlying data and improve the overall DevOps experience.
Steps to include AI/ML in DevOps pipelines
By integrating AI/ML in DevOps, massive amounts of data generated in the DevOps pipeline can be analysed. Different AI/ML algorithms that suit the needs of the organisation can be applied. Here are the key steps:
Define the goal to use AI/ML in DevOps
Identify the relevant tools and technologies
Leverage cloud providers’ APIs if available
Analyse DevOps data and gather appropriate training and testing data
Correlate different sets of inputs to find the best course of action
Build and finalise the AI/ML models
هذه القصة مأخوذة من طبعة September 2023 من Open Source For You.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
بالفعل مشترك ? تسجيل الدخول
هذه القصة مأخوذة من طبعة September 2023 من Open Source For You.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
بالفعل مشترك? تسجيل الدخول
Red Hat unveils Red Hat OpenShift Virtualization Engine
Red Hat OpenShift Virtualization Engine is a new edition of Red Hat OpenShift that offers a dedicated solution for organisations to leverage the virtualisation capabilities already available within Red Hat OpenShift.
Spring AI: A Door to GenAI Heaven for Java Developers
Let's explore the Spring AI framework and its advantages, and look at how it is helping Java developers adopt AI.
Significant security vulnerabilities drive the release of Rsync 3.4
Rsync, the widely used utility for incremental file transfers and synchronisation, has released version 3.4. This update isn't packed with exciting new features but is instead critical due to several newly disclosed security vulnerabilities.
NVIDIA puts Grace Blackwell at every AI developer's fingertips
NVIDIA has introduced NVIDIA Project DIGITS, a groundbreaking personal AI supercomputer designed to empower AI researchers, data scientists, and students NVIDIA® NVIDIA GRACE BLACKWELL with the immense capabilities of the NVIDIA Grace Blackwell platform.
Top Tools for DevOps, Cybersecurity, and Cloud Management in 2025
In 2025, organisations will continue to rely on open source tools to retain a competitive edge. We look at why the best tools for DevOps, cybersecurity and cloud management will remain relevant and how best to integrate them into your organisation.
CREW: Open source platform to improve human-AI interaction
As human-AI collaboration deepens, critical questions arise: How should humans and AI complement one another? What kind of feedback enhances AI training? How can trust in AI be optimised to balance collaboration without over-reliance? Researchers at Duke University are addressing these challenges through CREW-an innovative platform designed to advance human-AI teaming.
Red Hat completes the acquisition of Neural Magic
Red Hat, Inc., has announced the completion of its acquisition of Neural Magic, a trailblazer in software and algorithms that accelerate generative AI (GenAI) inference workloads.
The Do's and Don'ts for Software Architects
Here's a list of best practices for software architects as well as the common mistakes they should try not to fall prey to.
openSUSE's Tumbleweed introduces Wayland support for the LXQt desktop environment
The openSUSE Project has announced that its Tumbleweed rolling release distribution now includes Wayland support for users of the LXQt desktop environment.
A Guide for Software Architects: Common Mistakes and Best Practices
Software architects play an invaluable role in the digital transformation of an organisation. To make a mark, they must imbibe certain qualities and avoid common errors.
