Logging & Monitoring for Cloud Applications & Microservices | System Design Guide

A well-structured logging, monitoring, and alerting system is essential for maintaining scalability, reliability, and security in cloud-based applications and microservices. This video explores the key components and best practices for designing an effective observability stack that ensures smooth operations and rapid issue detection.
📌 What’s Covered:
✅ Application Logging – Best practices for storing and processing logs (Elasticsearch, OpenSearch, Logstash, Filebeat, etc.).
✅ Microservices Observability – Decoupling services and centralizing logs without creating bottlenecks.
✅ Cloud Infrastructure & Access Logging – Monitoring system-level activities with AWS CloudWatch, CloudTrail, and Kubernetes audit logs.
✅ Performance Monitoring & APM Tools – Tracking system health, identifying issues, and optimizing cloud applications.
✅ Proactive Alerting – Setting up alerts with CloudWatch, Grafana, and Kibana to detect problems before they escalate.
✅ System Design Considerations – Architecting a scalable and resilient logging and monitoring system.
💡 Why It Matters:
Cloud-native applications and microservices generate a vast amount of data. Without a well-designed observability stack, critical failures can go unnoticed, leading to downtime, security risks, and performance issues. This guide provides actionable insights into building a robust monitoring and alerting framework to keep applications running smoothly.
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Видео Logging & Monitoring for Cloud Applications & Microservices | System Design Guide канала Cloud on the Go