How To Monitor Performance In Distributed Backend Systems? - Server Logic Simplified

Описание: How To Monitor Performance In Distributed Backend Systems? Are you interested in understanding how to keep your distributed backend systems performing at their best? In this video, we cover essential strategies for monitoring and maintaining the health of complex backend architectures. We begin by explaining the core concepts behind system observability, including metrics, logs, and traces, which are vital for gaining visibility into your system’s internal operations. You’ll learn about the key tools used for data collection and visualization, such as Prometheus, Grafana, and the ELK stack, and how they help you identify and troubleshoot issues efficiently.

We also explore distributed tracing techniques with popular open-source solutions like Jaeger and Zipkin, which allow you to track requests across multiple services and pinpoint bottlenecks. Additionally, we discuss the importance of load testing with tools like JMeter and Gatling to simulate traffic and uncover potential capacity limits. Profiling your backend helps optimize performance by analyzing resource usage, while regular health checks ensure your services remain available and resilient.

By analyzing performance data through dashboards and alerts, you can detect trends early and make informed scaling decisions. This comprehensive approach helps you maintain a reliable and scalable system, especially when deploying on cloud platforms. Whether you're managing a small project or a large-scale system, these monitoring practices are essential for smooth operation and growth.

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