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Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. [ 2 ] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions.
Salt (sometimes referred to as SaltStack) is a Python-based, open-source software for event-driven IT automation, remote task execution, and configuration management. ...
Platform engineering is a software engineering discipline focused on the development of self-service toolchains, services, and processes to create an internal developer platform (IDP). [1] The shared IDP can be utilized by software development teams, enabling them to innovate.
ARA tools help cultivate DevOps best practices by providing a combination of automation, environment modeling and workflow-management capabilities. These practices help teams deliver software rapidly, reliably and responsibly. ARA tools achieve a key DevOps goal of implementing continuous delivery with a large quantity of releases quickly. [3]
Release engineering is often the integration hub for more complex software development teams, sitting at the cross between development, product management, quality assurance and other engineering efforts, also known as DevOps. Release engineering teams are often cast in the role of gatekeepers (e.g. at Facebook, Google, Microsoft) for certain ...
WASHINGTON (Reuters) -The U.S. Senate on Thursday was expected to advance a bill to require the federal government to detain migrants living in the U.S. illegally who are suspected of criminal ...
The first full moon of the year is about to rise over the skies.. Get ready to "howl" at the "wolf" moon, a celestial event so named for the idea that in the dark, cold months of winter, wolves ...
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]