IT Infrastructure Reliability Through Monitoring and Alerting
summary
Evaluates Prometheus, Datadog, New Relic across AWS Azure and Google Cloud and in a real health‑insurance deployment on Microsoft Azure, claiming measurable gains: 100 ms → 80 ms; 1,900 → 2,400 rps and overall downtime cut about 15%. Notes monitoring adds overhead — CPU up 5–8% and operational cost about 12% — and recommends targeted metrics, tuned collection intervals, dynamic baselines and alert correlation to reduce noise and speed incident resolution.
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chapters (10)
- 0:00Introduction to Monitoring and Alerting
- 2:01Importance of Monitoring in Cloud Environments
- 3:47Popular Monitoring Tools
- 5:36Essential Metrics to Monitor
- 7:41Real-World Impact of Monitoring Tools
- 9:19Trade-offs and Overheads of Monitoring
- 11:03Effective Alerting Strategies
- 12:40Best Practices for Monitoring and Alerting
- 14:34Future of Monitoring: AI and Machine Learning
- 15:27Conclusion and Final Thoughts
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