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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

Dynatrace also alerted on intermittent outages throughout the day and especially after 8pm when the bulk of the nightly jobs were executed: On March 31st our Jenkins violated our SLAs from both availability and user experience. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 255
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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 190
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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. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: available, and more are in the pipeline. Dynatrace Extensions 1.0

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Automatic and intelligent end-to-end observability for OpenTelemetry Java

Dynatrace

Today, Dynatrace is happy to announce OneAgent support for discovering and automatically capturing OpenTelemetry trace data for Java. PurePath integrates OpenTelemetry Java data for enterprise-grade collection and contextual analytics. OpenTelemetry Java API version 1.0.0 Use-case example: WorldAtlas sample application.

Java 156
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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. The post Optimizing Java XPath CPU and memory overhead by 98% appeared first on Dynatrace blog.

Java 223
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Java/Spring Boot/MongoDb - Performance Analysis and Improvements

DZone

It calculates the averages for newly available quotes. The AngularAndSpring project runs on startup (@Async + @EventListener) or once a day (@Scheduled) the average calculation of the quotes. It is implemented in the PrepareDataTask class. It gets started on startup by the TaskStarter class.

Java 246
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings. IBM Java version 7.

Java 179