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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 282
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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 OpenTelemetry Java API version 1.0.0

Java 157
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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). Learning Through Simulation ( Javalobby – The heart of the Java developer community). Thoughts, Insights and Further Pointers.

Java 244
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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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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

(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? for example, collate which and how many Java applications were attacked) Did we lose any critical data?

Analytics 187
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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. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes.

Retail 260
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. How OpenLLMetry works OpenLLMetry supports AI model observability by capturing and normalizing key performance indicators (KPIs) from diverse AI frameworks.