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Software Testing: Essential 4 Levels

DZone

The goal of Levels of Testing is to make software testing more structured and efficient, as well as to make it easier to identify all available test cases and test scenarios at a given level. There are various steps in the SDLC paradigm, such as requirement gathering, analysis, coding, design, execution, testing, and deployment.

Software 246
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Building High-Quality Software

DZone

If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end).

Software 245
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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

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9 Best Software Tools For Web Design Solutions In 2023!

Official Blog - World Web Technology

You can maintain a competitive edge and produce aesthetically pleasing websites in the dynamic field of web design solutions. You can create a website that is visually attractive and easy to use with the best web design solutions and tools. Web Design Solutions Made Easy! Top 9 Software for a Website Designing Company in India!

Design 59
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How unified data and analytics offers a new approach to software intelligence

Dynatrace

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 187
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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenges.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Monitoring-as-code can also be configured in GitOps fashion. Platform engineering is on the rise.