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The Role of Quality Assurance in DevOps

Modus Create

In a DevOps scenario, the development and testing process QA is integrated and takes on a collaborative approach. QA quickly feeds fresh development code into the production environment with the collaboration of the DevOps team. The DevOps team then provides the necessary tools and infrastructure to make the process smooth.

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Application security platform NeuraLegion raises $4.7 million seed led by DNX Ventures

TechCrunch

Application security platform NeuraLegion announced today it has raised a $4.7 It currently offers NexDAST for dynamic application security testing, and NexPLOIT to integrate application security into SDLC (software development life-cycle). million seed round led by DNX Ventures, an enterprise-focused investment firm.

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DevOps Pipeline and Its Essential Tools

Dzone - DevOps

A DevOps pipeline refers to the automated workflow and set of processes involved in the software development lifecycle ( SDLC ) to achieve continuous integration, delivery, and deployment. The key stages of a typical DevOps pipeline include:

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Quality Assurance (QA) Testing & the Business Impacts of Software Quality

Gorilla Logic

Quality Assurance (QA) testing, as a function of a cross-functional Agile development team, can help strike that balance. By using a combination of skills, practices, and tools, the QA function (made up of one or more QA practitioners) supports the software development lifecycle (SDLC) from start to finish. QA Architect.

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Top 5 benefits of DevOps!

Openxcell

DevOps has drawn the attention of the IT industry, and that too for all the right reasons. As a result, DevOps was born out of the desire to produce high-quality output with few post-production defects. DevOps come among the many new, trendy ideas businesses have adopted. What is DevOps. What does DevOps stand for?”

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Digital Assurance Brings Stability in Digital Transformation for Enterprises

Perficient

Attention Chief Digital Officers, you are acutely aware of the challenges posed by the rapidly evolving landscape of cloud and digital technologies on the Software Development Life Cycle (SDLC). However, with the complexity of the SDLC on the rise, traditional QA approaches are no longer enough.

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AI for Software Professionals: A Must-Have Skillset

Coveros

Understanding AI’s Impact: From Automation to Innovation AI is already infiltrating every stage of the software development lifecycle (SDLC). By understanding these applications, software professionals can: Become Early Adopters: AI isn’t just changing the industry; it’s creating entirely new opportunities.