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How AI/ML can Automate DevOps

AI/ML integration in DevOps can be transformative for software development. It can enable faster code development, improve the efficiency and reliability of the software, and automate the analysis of massive amounts of data.

How DevOps Differs from Traditional IT, and Which One is Better

DevOps enhances collaboration, while traditional IT upholds stability. Knowing when to automate and when to rely on stability is key. Organisations must choose their strategy wisely for optimal outcomes in varied industries. A balance of both DevOps and traditional IT generally works well.

DevOps Vs Agile: What You Should Know

Explore Agile and DevOps, understanding their principles, differences, recent transformations, and the partnership that fuels software excellence.

Continuous Integration with GitHub Actions

Here are a few insights into the core principles of DevOps and some practical guidance on using GitHub Actions.

The AI and Cybersecurity Capabilities of GitLab's CI/CD Platform

Here's an in-depth exploration of GitLab's innovative CI/CD platform, which is reshaping how we build software by seamlessly blending Al and cybersecurity capabilities. The focus is on GitLab's AI services and their integration with cloud platforms.

Embracing Progressive Delivery in Kubernetes with GitOps

GitOps leverages Git's strengths to achieve reliable, automated, and consistent infrastructure and application management, making it well-suited for modern DevOps practices and containerised environments like Kubernetes.

Enabling the Success of DevSecOps with Al

AI impacts DevSecOps in many positive ways — from accelerated testing and better security to quicker delivery of software. It promises to enhance every organisation’s potential.

MLOps: Benefits, Applications and Popular Platforms

MLOps is a fusion of DevOps and machine learning. It brings the principles that govern DevOps to the field of machine learning, to help build models that improve the functioning of industries as varied as healthcare and e-commerce. There are a number of platforms that can be used for MLOps. We take a look at a few of these.

The Challenges of Using AI Tools to Generate Code

Enterprises must understand the obligations that underline OSS licences and adopt proactive measures to meet them while using AI-generated code. Otherwise, they may end up in legal entanglements.

Türkiye unveils OSS initiative for tech advancement and cybersecurity

Türkiye has unveiled an ambitious open source software initiative aimed at revolutionising its public institutions. This strategic step, initiated by a decree signed by President Recep Tayyip Erdoğan, underscores the nation’s commitment to technological advancement and cybersecurity.

ONCD calls for public input on ways to strengthen OSS security

The Office of the National Cyber Director (ONCD) in the US has announced a call for public input on a strategy to fortify open source software (OSS) security.

HashiCorp abandons open source for 'source available' approach

HashiCorp has announced a shift from its conventional open source stance to a ‘source available’ model. This is the company that was behind developing vital software tools such as Vagrant and Terraform.

Altrios from SwRI aims to make the rail freight industry greener

The Southwest Research Institute (SwRI) has launched open source software Altrios, which offers a practical approach to assess green locomotive technologies and infrastructure expansion.

Nephio R1 launched to simplify cloud-native automation for telcos

The Nephio project, announced by the Linux Foundation over a year ago, is making headway with its maiden major release, Nephio R1. This collaborative endeavour aims to simplify cloud-native automation for telecommunication companies.

India to back open source RISC-V architecture

India has thrown its support behind the open source RISC-V architecture. This move comes as RISC-V gains momentum as a potent contender on the global stage, challenging the dominance of Softbank’s ARM technology.

Biden Administration kicks off 'AI Cyber Challenge' to boost open source software safety

The White House has unveiled an ambitious initiative that aims to leverage the power of artificial intelligence (AI) in identifying and rectifying vulnerabilities within open source software. This groundbreaking effort, known as the ‘AI Cyber Challenge’, was announced by the Defense Advanced Research Projects Agency (DARPA) in August, signalling a new chapter in the battle against cyber threats.

Indian Defence Ministry to replace MS Windows with the home-grown Maya OS

The Indian Defence Ministry has announced its decision to replace the widely-used Microsoft Windows operating system with an indigenously built alternative, named Maya.

France bets on open source AI to shape AI industry

French President Emmanuel Macron recently unveiled a groundbreaking initiative aimed at bolstering the nation’s presence in the AI realm. However, this aspiration is not without its challenges, as the European Union’s AI regulations loom large.

Moq under fire for endangering data privacy by including SponsorLink

The widely used open source project Moq is embroiled in controversy after it was revealed that its latest release included a dependency known as SponsorLink.

ChatGPT: It's Easy To Poison This AI Model

ChatGPT is still fragile and needs to be used with care. You can hoodwink it into thinking it is giving you information for the right reasons, and in the process, make security systems vulnerable.

Integration of Network Functions Virtualization Infrastructure with the DevOps Pipeline

This series’ eighth and final article outlines the creation of a DevOps pipeline to deploy a network functions virtualization module. This pipeline takes care of all the challenges faced from development to deployment of software, making the process simpler for developers and operations teams.

Dynamic Log Monitoring in Kubernetes Applications with Lightrun

Embrace the potential of Lightrun, a powerful logging and monitoring framework, to streamline operations, reduce maintenance efforts, and gain deeper insights into the health and performance of your Kubernetes applications in the cloud.

Demystifying Connection Pools: A Deep Dive

By understanding the inner workings of connection pooling and building your own pools, you will be able to build more reliable and high-performing applications, especially at scale. This first part of a two-part series demystifies the magic of connection pooling.

CAP Theorem: Use It to Choose an Open Source Database

This is a practical guide to choosing the right open source database. This choice depends on a clear understanding of the CAP theorem and the unique characteristics of various open source databases.

A Developer's Guide to Enterprise Mobile App Development

This all-inclusive guide empowers you to navigate enterprise mobile app development from concept to deployment using the best open source tools. It offers a roadmap to ensured success in the competitive app market!

Smooth Airport Exits Using Mobile Apps Powered by Generative AI

With innovative technologies like generative AI and AR, we can transform the airport experience, simplifying it tremendously for passengers. The app discussed in detail in this article will help them breeze through airport exits.

CodePen: Improving Developer Productivity

With its intuitive interface, realtime editing, extensive library collection, and collaborative features, CodePen has become an indispensable tool for developers. Get ready to code, share, and innovate like never before!

The Role of Cognitive Services in Modern Web Applications

Cognitive services are of great use in modern web applications. Take a look at their characteristics, benefits and challenges.

How to Write Code Better: Some Best Practices

In today’s digital age, a well performing app is paramount to the success of any business. Writing code is an essential part of developing any modern application, and it is crucial to ensure that the code you write is structured, optimised and efficient. Poorly written code can have significant consequences such as slow loading times, crashes, and even user frustration.

AI and ML Algorithms that Power Self-Driving Cars

Self-driving cars are poised to become a reality in the very near future. These cars rely extensively on a range of AI and ML based algorithms to ply safely and reliably, and to make ethical decisions in the midst of traffic. Let’s take a quick look at some of these algorithms.