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Microservices on AWS [Video]

Dzone - DevOps

In this tutorial, I will explain different CI/CD concepts and tools provided by AWS for continuous integration and continuous delivery. This is part 1 of 2 videos: Introduction. In this tutorial, you will have hands-on experience in developing a spring boot microservice and how it can be deployed in the cloud.

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Continuous integration for.NET applications

CircleCI

High performing.NET teams can accelerate their development cycles and ship code more consistently and reliably by adopting DevOps principles and a mature, dedicated continuous integration platform. Configuring a continuous integration pipeline for.NET with orbs. Building.NET projects on CircleCI.

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Continuous Integration From The Trenches #1 — Hadi Hariri and Ktor

Dzone - DevOps

Hadi Hariri, among many other things, is responsible for Ktor's product management @ JetBrains and in this opening episode of the Continuous Integration From The Trench series, we're chatting about how the Ktor project is being developed and built.

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Continuous integration for React Native applications

CircleCI

Automate how these tests run by building a continuous integration pipeline. The continuous integration pipeline ensures that tests run whenever updates are pushed to the GitHub repository. You can also check out his video courses on Udemy. Prerequisites. Node.js (version >= 10.13) installed on your system.

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Continuous integration for Rust applications

CircleCI

Time to write the continuous integration script that will automate the running of tests in the project any time updates are pushed to the remote code repository. In this tutorial, you have learned and demonstrated how to automate tests in your Rust projects using a continuous integration pipeline. Conclusion.

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A Mature Product Transition to DevOps

Agile Alliance

This experience report discusses a seven-year-old fin-tech product’s journey of transition to DevOps through the implementation of Continuous Integration/ Continuous Delivery (CI/CD). PLEASE LOG IN To view this content must be a Member of the Agile Alliance. To become a Member, please visit our Membership Options.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps. MLOps vs DevOps.