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Implications of sharing a large cluster
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Classroom Contents
One Large Cluster or Lots of Small Ones - Pros, Cons and When to Apply Each Approach
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- 1 Intro
- 2 A common question
- 3 The short answer...
- 4 Implications of having many small clusters
- 5 Implications of sharing a large cluster
- 6 Today's journey
- 7 The foundation block
- 8 Kubernetes resources and Namespace
- 9 Authentication
- 10 Authorization
- 11 Built-in Roles
- 12 Building fences around a Namespace
- 13 Network Isolation of a tenant
- 14 Reflections on the previous Network Policy
- 15 Allow some ingress traffic
- 16 Limit cluster resource usage
- 17 Resource Quotas
- 18 Storage Quotas
- 19 How to properly secure Linux containers
- 20 How can we leverage Pod Security Policies
- 21 Using different Container Runtime
- 22 Other OCI runtimes with focus on security
- 23 Using Kubernetes Runtime Class
- 24 Is this level of separation enough?
- 25 Influencing Kubernetes' scheduler
- 26 Validation and sanitization of user input
- 27 Kubernetes Admission Controllers
- 28 Request validation: use cases
- 29 How to use admission controllers
- 30 Write custom admission controllers
- 31 How Dynamic Admission Control works
- 32 Caveats of Dynamic Admission Contro
- 33 Open Policy Agent (OPA)
- 34 Writing custom policies
- 35 Gatekeeper
- 36 Generic problems of Admission Controllers
- 37 OPA - Auditing feature
- 38 Time for a recap
- 39 Disadvantages of sharing a single cluster
