Technology’s choices | LinkedIn
Python is the language used to write Ansible. It is an open-source configuration management and automation application that may assist businesses in automating their operations and infrastructure. The product was created to aid corporations. Ansible was designed to be user-friendly by incorporating a straightforward, declarative programming language. It is not necessary for the target systems to have any agents or software installed, which makes it simple to handle a wide variety of systems and settings.
Configuration management, application deployment, and cloud provisioning are just some of the many activities that can be automated with the help of Ansible, which is used extensively by businesses of all sorts. In addition to this, it has widespread support, including a sizable and lively community of users and developers, as well as a diverse selection of plugins and modules that may be used to enhance its functionalities. It is impossible for me to determine whether Ansible is the “ideal” technology for your firm because I do not have enough information about your requirements and needs. Nevertheless, there are a few reasons why Ansible might be a suitable match for your business, including the following: Ansible was developed with the goal of being easy to use and understand. It has a straightforward, declarative language and a straightforward, minimalist style. Because of this, it is an excellent option for businesses that wish to automate their infrastructure and processes without investing a significant amount of time or money in acquiring a significant amount of specialised knowledge.
Read the “Technology’s choices” article to have more context Technology’s choices | LinkedIn YAML rather than JSON YAML, which stands for “YAML Ain’t Markup Language,” is a data serialisation language that is legible by humans and is widely used for configuration files. However, YAML may also be used for data storage. It is comparable to JSON in that it is a method for representing data structures; however, it is simpler to work with than JSON since it is more comprehensible to people and contains less unnecessary words. Indentation is used instead of curly brackets to denote structure in YAML, but curly brackets are used in JSON. This is one of the most significant differences between YAML and JSON. This results in an improvement in YAML’s versatility as well as its readability; nevertheless, it also makes it more prone to formatting errors.
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