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AoAD2 Practice: Continuous Deployment

James Shore

To share your thoughts, join the AoAD2 open review mailing list. Continuous Deployment. If you use continuous integration, your team has removed most of the risk of releasing. Done correctly, continuous integration means that the team is ready to release at any time. Continuous deployment resolves this risk.

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

He is a former practitioner of Agile methodologies, particularly extreme programming, with experience in practices like TDD, continuous integration, build pipelines, and evolutionary design. He is a principal consultant, focused on sociotechnical systems. Andrew Harmel-Law – Tech principal at Thoughtworks.

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How Long Does It Take to Build an App

Mobilunity

TikTok TikTok, born in 2016, took the social media world by storm with its short-form video format. Simple apps with basic functionalities may take a relatively short time to build, while complex applications involving intricate features, advanced algorithms, or integration with other systems demand a more extensive development period.

UI/UX 52
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GitLab vs Github?—?What Are The Key Differences And Which One Is Better? [2020 Update]

Codegiant

It boasts great features such as issue tracker, bug tracking system, source code management, and its own built-in CI/CD tool that came to the world in November of 2019 (it’s explained further below). In 2016, GitLab grew significantly, and more than 100,000 organizations, along with millions of users, used GitLab at the time.

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Comparison of Most Popular Continuous Integration Tools: Jenkins, TeamCity, Bamboo, Travis CI and more

Altexsoft

Today’s practice of continuous integration (CI) rolls out program updates even faster, within days or hours. In our dedicated article, we explain in detail the benefits of continuous integration , how to approach its adoption, and what challenges to expect along the way. How to choose a continuous integration tool.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

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AoAD2 Practice: Build for Operation

James Shore

To share your thoughts, join the AoAD2 open review mailing list. The fundamental idea behind DevOps is simple: by including people with operations and security skills as part of the team, we make it possible to build operability and security into the software, rather than adding it as an afterthought. File systems run out of space.