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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

This first step clearly shows that the code that powers getFamilyCondition is using a lot of CPU – much more than any other of the top services combined! It can be your own code, 3 rd party code or your runtime that executes for certain tasks such as Garbage Collection. So – we found the culprit!

Java 222
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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. 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 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. The documentation mentions that the supported languages to profile are Go, Java (any JVM-based language), Python, Ruby, and NodeJS. In this blog post, we’ll review how to run Linux profilers such as perf and produce flame graphs on Kubernetes environments.

Code 108
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon. Spring4Shell vulnerabilities expose Java Spring Framework apps to exploitation.

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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 243