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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 200
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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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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 189
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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 222
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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. It prevents your application from fully leveraging the available CPU. Dynatrace news.

Speed 165
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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 106
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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

By open-sourcing the project, we hope to contribute to the Java and GraphQL communities and learn from and collaborate with everyone who will be using the framework to make it even better in the future. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem.