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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. Your messaging systems at a glance with the new Queues list.

Analytics 191
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Integration with Red Hat Event-Driven-Ansible will also leverage Red Hat’s flexible rulebook system to map event data, such as problem categories or vulnerability identification, to the correct job template. Two implementation scenarios cover different use cases and needs.

DevOps 289
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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 Basis teams have established best practices for managing their SAP systems.

Java 193
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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Java, Go, and Node.js Kubernetes is emerging as the “operating system” of the cloud.

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Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Dynatrace

Robert runs a multi-tenant e-commerce system on a managed Kubernetes environment. Both backend and report service are implemented in Java, but Robert found no Java runtime-related issues, either. Analyzing: Looking for unusual Kubernetes event activity. An out-of-memory issue lurks. But that’s about it.

Java 194
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Log auditing is a cybersecurity practice that involves examining logs generated by various applications, computer systems, and network devices to identify and analyze security-related events. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes.

Analytics 189
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? The scale and the highly distributed systems result in enormous amounts of data. They also care about infrastructure: SREs require system visibility and incident management.