The Ethics of AI: Addressing Bias, Privacy, and Accountability
Artificial intelligence (AI) has become an integral part of modern life, from the algorithms that curate our social media feeds to the systems that make
Glossary of terms
DevOps is the merger of development (Dev) and operations (Ops) teams that introduces an organizational approach to accelerate application development and ease maintenance of existing deployments. This approach fosters stronger relationships between Dev, Ops, and other stakeholders across the company, simplifying and controlling iterations through the adoption of best practices, automation, and the use of new tools. DevOps is not just a technology; it includes all aspects, from organizational structures to corporate culture, from processes to tools. The initial stages often include continuous integration and delivery (CI/CD) practices, real-time monitoring, incident response systems, and shared platforms.
The adoption of DevOps is expanding rapidly. Factors contributing to this include enterprises’ investments in innovation, the use of software-as-a-service solutions, the adoption of microservice architecture and related development methodologies, and the increasing investment by CTOs and executives in collaborative and automated application development and operational processes.
The DevOps team continuously applies customer-centered activities to effectively invest in products and services.
The DevOps team ensures end-of-life productivity by increasing accountability and quality of the products developed.
The DevOps culture emphasizes continuous improvement to minimize waste, which consistently accelerates the improvement of products or services.
Automation is a vital principle of DevOps and is implemented not only in software development, but also in the entire infrastructure.
In a DevOps culture, development, design, and testing are already defined and tasked with working as a single team with full collaboration.
A DevOps team requires robust monitoring and testing procedures for all aspects of development and operations.
Artificial intelligence (AI) has become an integral part of modern life, from the algorithms that curate our social media feeds to the systems that make
In today’s fast-paced digital world, cloud automation has rapidly evolved from a cutting-edge innovation to an essential component of modern business operations. As companies increasingly
Businesses need reliable and efficient management of information flows to operate. Data collection, storage, and management require a well-developed infrastructure with workstations, database servers, storage nodes and networks, engineering networks, and data transmission networks. Building such an infrastructure requires serious start-up investments and ongoing maintenance costs. Using cloud network technology eliminates most of these problems. So what is cloud technology?