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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. The world service uses the custom web server? Use-case example: WorldAtlas sample application.

Java 155
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Find OpenTracing for Java seamlessly integrated into PurePath 4. ConcurrentMap<String, String> map = getTracingHazelcast().getMap("map");

Java 232
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough. In addition to tracing, observability also defines two other key concepts, metrics and logs.

Metrics 179
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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 178
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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

Perform an audit on default settings of the application server. The metrics are great for anyone in operations and capacity planning. The post Optimizing Java XPath CPU and memory overhead by 98% appeared first on Dynatrace blog. Increase JVM memory limits to better handle spike load.

Java 221
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Extend infrastructure observability with JMX Extensions and additional full-stack metrics

Dynatrace

To provide you with more value when monitoring hosts in infrastructure mode, we’re extending our infrastructure mode with a range of metrics that have until now only been available in full-stack mode. Monitor any infrastructure component and backing service that’s written in Java. Monitor additional metrics.

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Dynatrace extends AI-powered observability for SAP together with PowerConnect

Dynatrace

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent. Architectural overview.

Java 187