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Measuring Code Quality: Qualitative and Quantitative

DZone

Code Quality defines that the code is good, which means code is of high quality, and code is bad, which means code is of low quality. Code can be considered good quality if it is clear, simple, well tested, bug-free, refactored, documented, and performant.

Code 278
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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

With the increasing amount of sensitive information stored and processed, it’s essential to ensure that systems are secure and protected against potential threats. High false-positive rates: Traditional security testing tools generate numerous findings.

Code 264
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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities. Proactive systems like Dynatrace’s Davis AI can automate responses to threats, swiftly implementing remediation while keeping executives informed of actions taken and their impact.

Analytics 289
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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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5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

White box testing The nicest thing about deploying UI changes to production is that you can immediately see the changes in action. You can see when a new version is deployed, test it to ensure everything works as expected, and youre done. On the other hand, deploying new code on the backend is complex and offers no such transparency.

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8 Types of Functional Testing

DZone

Functional and non-functional testing are the two types of software testing. There are various types of functional testing, that are as below: Unit Testing. Integration Testing. System Testing. Regression Testing. Smoke Testing. Sanity Testing. Acceptance Testing.

Testing 246