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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. and GKE Autopilot 126.

Google 213
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.

Java 175
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New Dynatrace Operator elevates cloud-native observability for Kubernetes

Dynatrace

OneAgent technology simplifies deployment across large enterprises and relieves engineers of the burden of instrumenting their applications by hand. Observability should be as cloud-native as Kubernetes itself. Dynatrace Operator for OneAgent, API monitoring, routing, and more. Dynatrace news.

Cloud 218
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

Dynatrace OneAgent ® discovers, observes, and protects access to OpenAI automatically, with no manual configuration, revealing the full context of used technologies, service interaction topology, security-vulnerability analysis, and the observability of all metrics, traces, logs, and business events in real time.

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Understand and optimize performance across your entire SAP ecosystem with Dynatrace SAP monitoring

Dynatrace

The question, however, should be asked with the entire SAP technology portfolio in mind. This means that you should ask the following: Does your monitoring solution work with SAP both on-premise and within cloud infrastructure ? How about SAP hosted on private and public clouds ?

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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.