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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Therefore, we’re happy to announce support for OpenTracing data that’s emitted by auto- and custom-instrumentation of Java source code with Dynatrace PurePath 4, our distributed tracing and code-level analysis technology. Find OpenTracing for Java seamlessly integrated into PurePath 4. Deep-code execution details.

Java 242
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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.

Java 185
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TCP: Out of Memory — Consider Tuning TCP_Mem

DZone

You may also like: Java Out of Memory Heap Analysis. The application was running on a GNU/Linux OS, Java 8, Tomcat 8 application server. What happens when you're out of memory? Recently we experienced an interesting production problem. This application was running on multiple AWS EC2 instances behind Elastic Load Balancer.

Tuning 164
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Optimize your applications with 24×7 continuous thread analysis

Dynatrace

Thread dumps allow Java developers to understand which threads execute which code and whether or not certain threads are waiting or locked. Thread dumps are now a thing of the past; the future belongs to 24×7 continuous thread analysis. Identify and solve performance bottlenecks faster with continuous thread analysis.

Java 103
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How to fine tune failure detection

Dynatrace

How to fine-tune failure detection. To see all the exceptions, use the “view exception analysis” button. If you are using the same coding practices with your java, php, go or dot Net applications, request attributes can capture these return codes. The post How to fine tune failure detection appeared first on Dynatrace blog.

Tuning 116
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Understand and replay Android app crashes with Session Replay

Dynatrace

Instrumentation enables the shipment of a monitoring library with your app that collects telemetry data and sends it back to the Dynatrace platform for analysis. This includes selecting the app to be instrumented, fine-tuning cost controls, and enabling users to opt-in to Session Replay recording. Mask sensitive data.

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Terminology matters: how to enhance user experience by aligning names with expectations

Dynatrace

In talking to customers internally and externally, we recognized that some of our analysis views, like the CPU analysis , are in fact ultimately what our users need, however they remain overlooked capabilities of our platform. NET or Java footprint (as diagnostic tools are especially useful for these). What’s next?

Java 246