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

Dynatrace

Oftentimes, this involves the integration of OpenTelemetry data that’s used during development into production workflows. Today, Dynatrace is happy to announce OneAgent support for discovering and automatically capturing OpenTelemetry trace data for Java. The world service uses the custom web server? Nano HTTPD ?(instead

Java 151
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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.

Java 178
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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: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Given the prevalence of Python in AI model development, OpenTelemetry serves as a robust standard for collecting observability data, including traces, metrics, and logs.

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Mastering MongoDB® Timeout Settings

Scalegrid

On an abstract level, whenever you use MongoClient to connect, send, or receive a request, it internally uses predefined timeout options to decide how long the application will wait for an initial connection establishment or the response from the server for your request.

Java 130
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

(for example, query web server logs from the past year for specific attack strings containing ). for example, query topology to cross reference entity information to narrow down attacked services to those that are running Java) To what extent could we be compromised? Are there any indicators of compromise?

Analytics 175
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. Java applications use a similar mechanism.).