DevOps Tech

  In today’s world, technology has become an integral part of our daily lives, and the way we work has been greatly revolutionized by the rise of cloud computing. One of the critical aspects of cloud computing is the ability to run applications and services in a virtualized environment. However, with the emergence of new technologies and trends, there are two popular approaches that have emerged, containerization and virtualization, and it can be confusing to understand the difference between the two. In this blog on Containerization vs Virtualization, we’ll explore what virtualization and containerization are, the key difference between virtualization and containerization, and the use cases they are best suited for. By the end of this article, you should have a better understanding of the two technologies and be able to make an informed decision on which one is right for your business needs. Here, we’ll discuss, –  What is Containerization? –  What is Virtualization? – Benefits of Con

  Enter Docker and Kubernetes, the dynamic duo that has revolutionized the way applications are deployed, managed and scaled. Here’s HOW! In today’s rapidly evolving digital landscape, efficient and seamless application deployment is paramount for businesses seeking to stay ahead of the competition. Enter Docker and Kubernetes, the dynamic duo that has revolutionized the way applications are deployed, managed and scaled. Docker and Kubernetes have become game-changers in app deployment. This empowers organizations to streamline their development processes, enhances scalability and drives operational efficiency. Here, we’ll delve into the world of Docker and Kubernetes, exploring their fundamental concepts, their interplay and their transformative impact on application deployment. We’ll uncover the key advantages they bring to the table, as well as real-world use cases where organizations have harnessed their power to achieve remarkable results. So, buckle up and get ready to embark on

  Did you KNOW? By 2030, a major blockbuster film will be released with 90% of the film generated by AI (from text to video), from 0% of such in 2022. Marketing and media are already feeling the impacts of generative AI. Gartner expects: By 2025, 30% of outbound marketing messages from large organizations will be synthetically generated. This percentage is up from 2022 by less than 2%. By 2030, a major blockbuster film will be released with 90% of the film generated by AI (from text to video), from 0% of such in 2022. In today’s rapidly evolving technological landscape, artificial intelligence (AI) has emerged as a game-changer for businesses. Among the many branches of AI, generative AI stands out as a remarkable field that holds immense potential for revolutionizing enterprise applications. Generative AI, a subset of machine learning, goes beyond traditional AI models that are designed to analyze and interpret existing data. Instead, it focuses on the creation of new, original conten