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How does implementing production readiness checks affect the scalability of a Kubernetes application?

hard📝 Application Q9 of 15
Kubernetes - Production Best Practices
How does implementing production readiness checks affect the scalability of a Kubernetes application?
AIt improves scalability by ensuring only healthy pods receive traffic during scaling
BIt reduces scalability by adding overhead to pod startup
CIt has no effect on scalability
DIt forces manual scaling of pods
Step-by-Step Solution
Solution:
  1. Step 1: Understand readiness impact on scaling

    Readiness probes ensure only ready pods are counted as available during scaling.
  2. Step 2: Effect on traffic and load balancing

    This prevents traffic from going to unhealthy pods, improving overall scalability.
  3. Final Answer:

    It improves scalability by ensuring only healthy pods receive traffic during scaling -> Option A
  4. Quick Check:

    Readiness checks improve scalability by filtering unhealthy pods [OK]
Quick Trick: Readiness probes help scale healthy pods only [OK]
Common Mistakes:
  • Assuming readiness probes slow down scaling
  • Thinking readiness probes have no effect on scaling
  • Believing scaling must be manual with probes

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