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Availability patternIntermediate

Cloud Load Balancing and Auto Scaling

Cloud load balancing distributes traffic across healthy service instances, while auto scaling adjusts capacity according to demand, schedules, or operational signals.

What it means

These services can operate at network, transport, application, regional, or global layers. Their security and reliability depend on health-check quality, termination points, session state, scaling limits, permissions, and protection of back-end services.

Why it matters

Automated distribution and scaling can absorb normal demand changes, but bad signals or unsafe configuration can amplify failures and cost.

Practical focus

  • Use health checks that reflect actual service readiness
  • Set minimum, maximum, and cooldown behavior deliberately
  • Protect back ends from bypassing the load balancer
  • Test scaling during deployment, failure, and sudden demand

Common mistakes

  • Scaling only on average CPU
  • Using shallow health checks
  • Allowing unlimited scaling without budget or quota safeguards
  • Terminating encryption without protecting internal traffic where required

Certification relevance

This subject appears in or supports the following certification bodies of knowledge:

AWS Cloud PractitionerMicrosoft AZ-900Google Cloud Digital LeaderCompTIA Cloud+GIAC GCLD

Authoritative sources