Remove Artificial Intelligence Remove Continuous Delivery Remove Load Balancer Remove SDLC
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4 Rs for Scaling your testing? The first steps towards a rewarding engagement

Trigent

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
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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

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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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

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?