GitHub Copilot is a groundbreaking coding assistant that has been making waves in the development community. Powered by advanced artificial intelligence (AI) models and developed by GitHub, Copilot aims to transform the way we write code. In this comprehensive blog, we will explore the inner workings of GitHub Copilot, its
DevOps has transformed the software development landscape by enabling organizations to deliver software products faster and more efficiently. The integration of artificial intelligence (AI) in DevOps is further enhancing this transformation. One AI tool that is popular with DevOps professionals is ChatGPT, a powerful language model. In this blog, we
Software applications run on top of infrastructure. This includes things like servers, databases, storage, networking, and other infrastructure components. Imagine you are an employee tasked with setting up a new web server for your company's website. Let’s consider a manual infrastructure provisioning scenario. You would have to configure the
Let’s talk about software deployment. Before we can deploy an application and make it available to its users, we must complete two steps: First, we provision the infrastructure, which is the set of hardware & software components that support the application’s development, testing, and deployment. Provisioning means setting up
Serverless architectures can help you build scalable, cost-effective applications faster. They remove the burden of operating your own servers and leave you with APIs that you can use to trigger events when a user performs an action in your application or when new data is available. Because serverless also takes
GitOps is a methodology for deploying and managing software applications using Git. It is also referred to as "operations as code" or "code-driven operations," and it uses the principles of DevOps to streamline software updates across an organization. It basically uses a collaborative software development model involving Git and Kubernetes.
Traditional software development processes were often slow and inflexible, making it difficult for companies to keep up with the pace of innovation and stay competitive. Agile software development was necessitated by the need to adapt quickly to changing market conditions and customer needs. It prioritizes flexibility, collaboration, and customer feedback,