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Traffic spikes exceed the capacity of a critical resource.
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Theoretical construct: explains a term, principle, or mental model.
Concrete cog in the system that works inside larger relationships.
A capacity bottleneck occurs when a limited resource determines a system's performance under growing or fluctuating demand.
Capacity planning became a standing availability responsibility in Site Reliability Engineering: Google describes capacity as critical to availability and therefore assigns planning and provisioning to the SRE team.
The slowest or most heavily loaded part sets the throughput ceiling. When demand exceeds it, queues and latency grow; more capacity, load shedding, or more efficient processing moves that boundary.
Requests and workload fluctuate over time.
A resource constrains throughput or response time.
Capacity is forecast from expected load and safety reserves.
Finding the bottleneck directs scaling and load tests toward the resource that actually limits user impact.
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