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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

that offers security, scalability, and simplicity of use. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

As this was the first time in years that systems started to experience major disruption a team of performance experts was gathered who were quick to identify: Root cause : Old way of using XPath (full search). It can be your own code, 3 rd party code or your runtime that executes for certain tasks such as Garbage Collection.

Java 231
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Write Optimized Spark Code for Big Data Applications

DZone

PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 161
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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. — Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . . — Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . Dynatrace news.

Speed 166
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users. This restricts the ability of running profilers to diagnose a performance issue from inside the container.

Code 111
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

Risks include performance problems and outages in cloud-native environments, application security vulnerabilities and poor digital experience for customers and other users. Open source code, for example, has generated new threat vectors for attackers to exploit. But with this speed, agility, and innovation come new challenges.

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Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

Dynatrace is redefining Application Security, applying the automation, AI, scalability, and enterprise-grade robustness of its platform to change the way security gets done. In cloud-native application stacks, everything is code. and Java are the most popular languages within Kubernetes environments. Vulnerabilities in Node.js

Java 251