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CLOUD-DIGITAL-LEADER · Question #229

An organization has an on-premises IT infrastructure. Their customer-facing application repeatedly fails during peak usage. What could be causing this issue?

The correct answer is C. They don't have enough servers to meet the demand. On-premises applications fail during peak usage because physical server capacity is fixed and cannot expand on demand.

Understanding the Value Proposition of Cloud Computing

Question

An organization has an on-premises IT infrastructure. Their customer-facing application repeatedly fails during peak usage. What could be causing this issue?

Options

  • AA serverless compute function struggles to scale.
  • BThe application contains unclean data.
  • CThey don't have enough servers to meet the demand.
  • DThe application is only configurable on-premises.

How the community answered

(39 responses)
  • A
    3% (1)
  • B
    3% (1)
  • C
    90% (35)
  • D
    5% (2)

Why each option

On-premises applications fail during peak usage because physical server capacity is fixed and cannot expand on demand.

AA serverless compute function struggles to scale.

Serverless compute functions are a cloud-native technology and are not used in an on-premises infrastructure context.

BThe application contains unclean data.

Unclean data causes incorrect results or processing errors, not the performance failures under load that are characteristic of capacity exhaustion.

CThey don't have enough servers to meet the demand.Correct

On-premises infrastructure has a hard ceiling on compute capacity determined by the number of physical servers available. When traffic spikes beyond that ceiling during peak periods, the servers become overloaded, leading to slow response times, timeouts, or outright failures. Unlike cloud environments, on-premises setups cannot instantly provision additional capacity to absorb demand surges.

DThe application is only configurable on-premises.

Applications deployed on-premises are by definition configurable in that environment; limited configurability is not the cause of peak-load failures.

Concept tested: On-premises capacity limits causing peak-load failures

Source: https://learn.microsoft.com/en-us/azure/architecture/framework/scalability/design-scale

Topics

#On-premises infrastructure#Scalability#Performance bottlenecks#Capacity planning

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