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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. According to other comparisons [Google for 'Performance of Programming Languages'] spread over the net, they clearly outshine others in all speed benchmarks. JAVA SOLUTION (Will Be Uploaded Later).

Java 214
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Optimize your code by finding and fixing the root cause of garbage collection problems.

Speed 214
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Always-on profiling in transaction context. Upgrade OpenTracing instrumentation with high-fidelity data provided by OneAgent.

Java 264
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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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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread. Step 3: Identifying root-cause in code.

Code 246
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The top eight DevSecOps trends in 2022

Dynatrace

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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Runtime vulnerability management is still a vexing challenge for organizations

Dynatrace

Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). Log4Shell was a zero-day vulnerability in Log4j, a popular Java logging framework.