In production, you must plan to have enough capacity for your peak loads, not the average steady state.
在生产负载中，必须计划好有足够的容量来应付尖峰负载，而不是平均的稳定状态。
Our system didn't have demanding performance requirements, but we wanted it to be usable under peak loads.
我们的系统没有苛刻的性能需求，但是我们想让系统在最大负载下是可用的。
In a typical data center environment, you must plan for peak loads, so IT resources are frequently underutilized.
在一个典型的数据中心环境中，您必须根据最大负荷做计划，因此IT资源通常并未充分利用。
In most cases, this is the desired behavior and is treated as a tuning problem: increase MAXDEPTH until the queue can absorb the highest peak loads.
在大多数用例中，这是理想的行为，并被视为一个调优问题：增加maxdepth值，直到队列能吸收最高峰值负载。
This will also allow us to compare not only the average loads described in this article, but the peak loads (15-minute snapshots) mentioned earlier.
这样，我们不仅可以比较本文所描述的平均负载，而且可以比较前面提到的尖峰负载(15分钟快照)。
When IT departments buy, build, and maintain clusters to handle peak loads it can be expensive, time consuming, and wasteful.
如果IT部门购买、构建和维护集群，以处理峰值负载，这个做法成本高昂、耗费时间、浪费严重。
Since many transformers do not carry continuous loads, advantage can be gained from the thermal time lag to carry higher peak loads without exceeding the temperature limits.
由于许多变压器并不带持续负荷，这就可利用发热时间的滞后来带上更高的峰值负荷而不至于超出温升的限定值。
If you do not actively test and validate your clustering during peak loads, during an actual failure the failover side can become constrained and deliver poor response times or even fail.
如果没有在峰值负载下积极测试和验证集群，那么在真正发生故障时，故障转移的一端可能受到资源限制，响应时间较长，甚至出现故障。
Rational Quantify enabled us to pinpoint bottlenecks, while Robot and SiteLoad enabled us to test software under peak loads to ensure that the system could respond to worst-case conditions.
RationalQuantify能使我们查明瓶颈，Robot和SiteLoad能使我们在极高的负载下测试软件以确保系统能够对最坏的条件进行响应。
Rational Quantify enabled us to pinpoint bottlenecks, while Robot and SiteLoad enabled us to test software under peak loads to ensure that the system could respond to worst-case conditions.
RationalQuantify能使我们查明瓶颈，Robot和SiteLoad能使我们在极高的负载下测试软件以确保系统能够对最坏的条件进行响应。
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