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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. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 176
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Optimizing Java XPath CPU and memory overhead by 98%

Dynatrace

The system saw up to 800 application requests per second – far more than anticipated. More worrisome was a spike in CPU usage, resulting in severe service disruption as backend processing systems crashed due to the spike in load. The metrics are great for anyone in operations and capacity planning.

Java 211
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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Business, finance, and administrative applications written in the common business-oriented language (COBOL) have run tirelessly on IBM Z systems since the early 1960s. COBOL applications must be processed on expensive general processors, while Java applications are eligible to run on IBM Z specialty processors such as zIIPs.

Java 172
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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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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. The CSI pod is mounted to application pods using an overlay file system. Agent logs security.

Google 208
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 163
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

The conference’s theme recognizes that IT collaboration, DevSecOps culture, and business resilience are mutually reinforcing the role of DevSecOps teams in addressing application security threats, system downtime, and digital user experience issues. Spring4Shell vulnerabilities expose Java Spring Framework apps to exploitation.