Remove Continuous Integration Remove Microservices Remove Open Source Remove Team Building
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DevOps to Ensure Quality in Microservices

Coveros

THIS ARTICLE WAS ORIGINALLY PUBLISHED ON TECHBEACON as “Microservices quality issues? A modern DevOps approach can help” Your team has followed industry trends and shifted from a monolithic system to a widely distributed, scalable, and highly available microservices architecture. DevOps and microservices.

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21 Best Practices for Migrating to React JS

Modus Create

Invest in your team; train the team early in the process. “Build one to throw away” shouldn’t refer to your flagship product. Invest in a week-long training, and even better, let the team build a prototype of the most important feature. Invest in Open Source. Audit the legacy application.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

All data operations run within a continuous integration / continuous delivery (CI/CD) workflow promoted by DevOps. The downside is that, as with any relatively new concept, ELT tools are often far from perfect, so it requires a high level of expertise from your data team.

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Application Modernization Isn’t Just Fighting Legacy Tech

Modus Create

However, in the era of open-source and continuous innovation, modernization can’t be an isolated, one-off project. Similarly, breaking down app functionality into API-accessible microservices can help you pay your technical debt more incrementally. .

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Technology Trends for 2022

O'Reilly Media - Ideas

Supply chain attacks, in which an attacker places a payload in software that’s delivered to its victim through normal distribution channels, occurred in both open source and commercial software. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021.

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Lean Software Development: The Backstory

LeanEssays

To counter sequential processes and the long integration and defect removal phase, agile software development practices focused on fast feedback cycles in these areas: Test-driven development: Start by writing tests (think of them as executable specifications) and then write the code to pass the tests.