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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

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. JMX monitoring extensions are currently being migrated. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions 2.0 Extensions 2.0

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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 193
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. Dynatrace OneAgent® is perfectly capable of automatically injecting and tracing code-level information for many technologies, such as Java,NET, Golang, and NodeJS.

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

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Dynatrace news.

Java 238
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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Every company has its own strategy as to which technologies to use. To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications.

Metrics 212
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Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces.

Analytics 228
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. In recent years, the number of vulnerabilities has overtaken the ability to effectively monitor IT environments manually. However, these technologies can increase complexity.