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GCP Kubernetes infrastructure scaling
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Module 1
Foundations for Autoscaling Event-Driven Services
1
Competing Consumers for Pub/Sub Scaling
Describe the competing consumer pattern for scaling Pub/Sub subscribers by running multiple replicas.
Describe the competing consumer pattern for scaling Pub/Sub subscribers by running multiple replicas.
2
Optimizing Container Performance with Kubernetes Resources
Define Kubernetes resource requests and limits for a container to ensure predictable performance and scheduling.
Define Kubernetes resource requests and limits for a container to ensure predictable performance and scheduling.
3
Inspecting Pod Resources with `kubectl top` and `kubectl describe`
Use `kubectl top` and `kubectl describe` to inspect the real-time resource usage of a running pod.
Use `kubectl top` and `kubectl describe` to inspect the real-time resource usage of a running pod.
4
HPA: Metrics, Polling, and Scaling Loop
Explain the mechanism of the Horizontal Pod Autoscaler (HPA), including its metrics polling and scaling loop.
Explain the mechanism of the Horizontal Pod Autoscaler (HPA), including its metrics polling and scaling loop.
5
Scaling Queue-Based Workloads: Beyond CPU/Memory
Justify the need for custom metrics over standard CPU/memory for scaling queue-based workloads.
Justify the need for custom metrics over standard CPU/memory for scaling queue-based workloads.
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