KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

Application Performance Monitoring and Kubernetes monitoring in their current state are pretty expensive. The average VictoriaMetrics installation is processing 2-4 million samples/s on the ingestion path, and 20-40 million samples/s on the read path. The biggest installations account for 100 million samples/s on the ingestion path. This requires being very clever with data pipelines to keep them efficient and scalable by adding more resources. In this session, we'll explore essential optimizations to maintain database speed such as string interning, caching results, goroutine management and utilizing sync.Pool for efficient resource management. These techniques help strike a balance between performance and resource consumption. This talk focuses on practical strategies for enhancing database speed.

在当前状态下，应用程序性能监控和Kubernetes监控非常昂贵。平均VictoriaMetrics安装在摄入路径上处理2-4百万样本/秒，在读取路径上处理20-40百万样本/秒。最大的安装在摄入路径上占据了1亿样本/秒。这需要通过对数据管道进行非常聪明的优化，通过增加更多资源来保持其高效和可扩展性。在本场演讲中，我们将探讨保持数据库速度的基本优化，如字符串内部化、缓存结果、goroutine管理和利用sync.Pool进行有效的资源管理。这些技术有助于在性能和资源消耗之间取得平衡。本次演讲侧重于增强数据库速度的实用策略。