Remove Load Balancer Remove Microservices Remove SDLC Remove Testing
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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 shares insights around implementing feature flags, how they can be used to better control product releases, and how they can be used for testing and validation. A slow rollout to an increasing population of users allows you to test your software in multiple real-world environments before it goes live to everyone.

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Cloud native architecture – the modern way to develop Software

Apiumhub

This new idea is based on JenkinsX that enables developers to deploy Kubernete’s microservices. Every cloud application has four important elements: “Continuous delivery, Containers, Dynamic Orchestration, and Microservices ”. Microservices. Microservices are cloud-oriented services that deal with different cloud operations.