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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. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. available, and more are in the pipeline. Extensions 2.0

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

Dynatrace

Starting with user interactions, PurePath technology automatically collects all code execution details, executed database statements, critical transaction-based metrics, and topology information end-to-end. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting.

Analytics 229
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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. Use-case example: WorldAtlas sample application. The world service uses the custom web server?

Java 159
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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. Visibility into SAP CPI messages, down to every single attribute.

Java 194
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How a data lakehouse brings data insights to life

Dynatrace

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 226
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Mastering MongoDB® Timeout Settings

Scalegrid

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. Typical applications are interacting with different database servers based on the business logic. x+ in Java).

Java 130
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases. What is OneAgent?

Metrics 176