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

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. Ahem, Slow!

Java 214
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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

All-new Dynatrace code-level vulnerability detection All-new Dynatrace code-level vulnerability detection evaluates all requests passing through your applications to identify vulnerabilities. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.

Code 213
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. available, and more are in the pipeline.

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How To Implement Specific Distributed System Patterns Using Spring Boot: Introduction

DZone

Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. Spring Boot Overview One of the most popular Java EE frameworks for creating apps is Spring.

Systems 246
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What is Spring4Shell? Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework

Dynatrace

CVE recently published three new critical vulnerabilities in the Java Spring Framework, including one called Spring4Shell. Many applications are potentially affected, as Spring dominates the Java ecosystem , with 60% of developers using it in their main Java applications. This article was co-authored with Robin Wyss.

Java 202
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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 245
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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

Solution : Use optimized methods to access / query for specific data, e.g.: getNodeByType resulted in 98% reduction of CPU usage, better performance, returned high availability and reduced operational costs. It can be your own code, 3 rd party code or your runtime that executes for certain tasks such as Garbage Collection.

Java 232