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.,

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

DevOps.com

SEPTEMBER 6, 2023

A GitLab survey found AI is increasingly used to build software despite concerns about introducing it into the SDLC.

SDLC 135

SDLC Software Survey Continuous Delivery 135

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.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

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.

DevOps 56

DevOps Artificial Inteligence Software Review Continuous Delivery 56

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.

Organization 40

Organization Disaster Recovery DevOps Artificial Inteligence 40

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.

Testing 98

Testing Software Review DevOps Technical Review 98

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?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40