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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. Extensions can monitor virtually any type of technology in your environment. and focusing on a much-improved version 2.0 Extensions 2.0

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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. Application observability also helps to improve end-user experiences when combined with Dynatrace Digital Experience monitoring.

Retail 255
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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. 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.

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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

Dynatrace provides automatic and intelligent observability without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience. The Dynatrace extension for AWS Lambda provides full visibility into AWS Lambda functions independent of the deployment method.

Lambda 295
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Understand and replay Android app crashes with Session Replay

Dynatrace

Instrumentation enables the shipment of a monitoring library with your app that collects telemetry data and sends it back to the Dynatrace platform for analysis. Another nifty Session Replay feature is the ability to capture custom events—events that are not typically captured by default—irrespective of whether the codebase is Java or Kotlin.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 183
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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. The vulnerability enables a remote attacker to execute arbitrary code on a service on the internet if the service runs certain versions of Log4j 2. Incident detection and response.