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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance.

Analytics 303
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Geek Reading - Week of June 5, 2013

DZone

Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Java EE 7 is Final. Javalobby – The heart of the Java developer community). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch).

Java 244
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. Combining Dynatrace with Traceloop’s OpenLLMetry addresses the heterogeneity challenge by supporting a range of popular LLMs, prompt engineering, and chaining frameworks. However, Python models are trickier.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. You can ask Davis, the Dynatrace AI engine , to correlate CPU usage against other signals.

Retail 282
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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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Keep security findings at your fingertips with the Dynatrace mobile app

Dynatrace

Dynatrace Application Security changed this by introducing Runtime Vulnerability Analytics for your production environments. No public exposure vulnerability details Scenario #2: You’re an SRE working at a large bank You’re an SRE (Site Reliability Engineer) working at a large bank.

Mobile 275
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How Dynatrace uses Dynatrace to combat the Log4j vulnerability (Log4Shell)

Dynatrace

Log4Shell is a software vulnerability in Apache Log4j 2 , a popular Java library for logging information in applications. Combined with Davis® AI’s automatic prioritization of the most critical apps affected, we were able to immediately kick off remediation workflows across multiple engineering teams. Coordination and communication.