Wed.Sep 11, 2024

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How To Implement Specific Distributed System Patterns Using Spring Boot: Introduction

DZone

Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. When systems shifted from a centralized structure, it became increasingly important to focus on the components and architectures that support a distributed structure.

Systems 246
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Monitoring the OpenTelemetry Demo with Dynatrace Dashboards

Dynatrace

Dynatrace Dashboards provide a clear view of the health of the OpenTelemetry Demo application by utilizing data from the OpenTelemetry collector. With these dashboards, you can monitor your application’s usage and performance and identify potential issues like increasing failure rates. Learn how to use the Dynatrace Query Language (DQL) to investigate and pinpoint bottlenecks within your application’s distributed traces.

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Optimizing Container Synchronization for Frequent Writes

DZone

Efficient data synchronization is crucial in high-performance computing and multi-threaded applications. This article explores an optimization technique for scenarios where frequent writes to a container occur in a multi-threaded environment. We’ll examine the challenges of traditional synchronization methods and present an advanced approach that significantly improves performance for write-heavy environments.

Cache 200
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MongoDB: High Availability Topology for a Multi-Region Setting

Percona

MongoDB high availability is essential to ensure reliability, customer satisfaction, and business resilience in an increasingly interconnected and always-on digital environment. Ensuring high availability for database systems introduces complexity, as databases are stateful applications. Adding a new operational node to a cluster can take hours or even days, depending on the dataset size.

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Modes and Modality in Performance Testing

DZone

When reporting summary statistics for performance test results, there's a common assumption that the data follows a central tendency. But is this always true? What if the data does not exhibit a single central tendency? In such cases, the traditional metrics like averages might be misleading. This article explores why it's crucial to check for modality of performance test results, how to detect multimodal distributions, and how to handle them.

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Percona Monitoring and Management 2.43.0 Preview Release

Percona Community

Percona Monitoring and Management 2.43.0 Tech Preview Release Hello everyone! Percona Monitoring and Management (PMM) 2.43.0 is now available as a Tech Preview Release. We encourage you to try this PMM preview release in testing environments only, as these packages and images are not fully production-ready. The final version is expected to be released through the standard channels in the coming week.