Despite Concerns, AI Increasingly Used to Build Software
DevOps.com
SEPTEMBER 6, 2023
A GitLab survey found AI is increasingly used to build software despite concerns about introducing it into the SDLC.
DevOps.com
SEPTEMBER 6, 2023
A GitLab survey found AI is increasingly used to build software despite concerns about introducing it into the SDLC.
RapidValue
APRIL 20, 2020
The future of DevOps is expected to be helmed by ‘Assembly Lines’ that would help achieve interoperability and impeccable continuous delivery. Basically it helps the deployment pipeline that contains disconnected tools successfully achieve continuous deployment. . The Artificial Intelligence Hype.
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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.
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.
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.
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.,
LaunchDarkly
JANUARY 17, 2019
Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. Isn’t that just config files and isn’t that just a feature itself in like a continuous delivery platform or a cloud provider?
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