Autoscaling: the why, what, how & when to help you implement it
summary
Explains autoscaling for distributed systems: why it matters for user experience and fault tolerance, what pitfalls cause cost and inefficiency, and how and when to implement it. Uses real case studies and shows how to apply machine learning to improve autoscaling decisions.
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chapters (8)
- 0:00Introduction
- 4:05What is autoscaling
- 7:00Application architecture
- 8:25Scaling service types
- 14:01When to scale: key metrics
- 20:40SLAs and thresholds
- 25:40Autoscaling implementation
- 30:21Proactive scaling and future
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