Meta-technology
Meta-technology is a term that is not well defined, but for the most part, it refers to the set of technology applied for the production, handling, or even functional intensification of other main types of technology. It is sometimes referred to in the context of a tool, platform, or methodology to be used to be able to help in the development, deployment, or optimization of different technological systems .
Below are a few examples:
Development Frameworks: Tools or frameworks applied to provide pre-built components and structures to give a foundation to other software applications. The most common example is web development frameworks, say Django and Ruby on Rails.
2. **Virtualization and containerization**: These classes of technology deploy either virtual machines (VMs) or containerization platforms, such as Docker, in the creation and management of virtual environments to host and execute different software. They introduce an abstraction layer that significantly simplifies flexibility and efficiency in deploying and scaling applications.
3. Artificial Intelligence (AI) and Machine Learning (ML) Platforms: Such platforms allow the developer to create, train, and deploy AI and ML models. They always come with some sort of pre-built algorithms, data processing pipelines, and ways for deploying applications with intelligence features, which in a way reduce the friction in the entire level of development for AI-powered applications.
4. *DevOps practices and tools*: DevOps encompasses a protein of practices and tools that increase collaboration among the software development and IT operations teams. Technologies, such as CI/CD pipelines, configuration management tools, and infrastructure as code, are all part of DevOps that make the software deliverable process efficient and reliable.
In the final analysis, meta-technologies really are constructs or enablers for other technologies. Their role needs to encourage advancements and innovations in many aspects.