Artificial Intelligence Continuous Integration SDLC 
Trigent
MAY 24, 2023
Next-generation technologies like Artificial intelligence (AI), Machine Learning (ML), and Machine Learning as Services are the most influential factors of codeless automation testing. As a result, testing becomes an essential part of the entire SDLC. Supports native plugins for the popular Continuous Integration (CI) tools.
CloudScaling
APRIL 12, 2017
Continuous response—or “CR”—is an overlooked link in the DevOps process chain. The two other major links—continuous integration (CI) and continuous delivery (CD)—are well understood, but CR is not. The general process of the software development life cycle (SDLC) means that most CI/CD processes are similar.
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Trigent
MARCH 8, 2021
Further, given the blurring lines between QA and development with testing being integrated across the SDLC, there is a strong need for the partner to have strengths across DevOps, CI/CD in order to make a tangible impact on the delivery cycle.
Altexsoft
OCTOBER 24, 2022
Artificial intelligence (AI) and machine learning technologies enable CloudOps administrators to automate these tasks efficiently. At the core of a DevOps organization is a continuous integration / continuous delivery (CI/CD) pipeline that supports automated building, testing, and deployment of software projects.
Blue Sentry
MAY 17, 2021
Even if they do, many projects get stuck in the ever-so-fragile SDLC. When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e.,
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