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By defining resources in a declarative format, Deployment Manager allows users to create, update, and delete resources as part of a blue–green deployment process. Like AWS CodeDeploy, it minimizes downtime by shifting traffic from the old to the new environment after performing necessary tests.
Rolling release development models are one of many types of software release life cycles.Although a rolling release model can be used in the development of any piece or collection of software, it is most often seen in use by Linux distributions, notable examples being GNU Guix System, Arch Linux, Gentoo Linux, openSUSE Tumbleweed, PCLinuxOS, Solus, SparkyLinux, and Void Linux.
In software deployment, an environment or tier is a computer system or set of systems in which a computer program or software component is deployed and executed. In simple cases, such as developing and immediately executing a program on the same machine, there may be a single environment, but in industrial use, the development environment (where changes are originally made) and production ...
The alpha phase of the release life cycle is the first phase of software testing (alpha is the first letter of the Greek alphabet, used as the number 1). In this phase, developers generally test the software using white-box techniques. Additional validation is then performed using black-box or gray-box techniques, by another testing team.
Continuous delivery (CD) is a software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. [ 1 ] [ 2 ] It aims at building, testing, and releasing software with greater speed and frequency.
Development, testing, acceptance and production (DTAP) [1] [2] is a phased approach to software testing and deployment. The four letters in DTAP denote the following common steps: Development: The program or component is developed on a development system. This development environment might have no testing capabilities.
Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.
The deployment of enterprise software involves many more roles, and those roles typically change as the application progresses from the test (pre-production) to production environments. Typical roles involved in software deployments for enterprise applications may include: in pre-production environments: