The performance problem multiplies in SOA designs.
性能问题在SOA设计中会引起连锁反应。
Scenario 4: Solving a cluster performance problem, from-the-field.
场景4：通过实践解决集群性能问题。
This allows for easier and faster detection of a performance problem.
这支持更早更快地检测性能问题。
The performance problem multiplies with the number of layers of services called.
随着服务调用层次的增加，性能问题也成倍增加。
Figure 3 shows the hit ratio highlighted in red, which indicates a performance problem.
图3用红色高亮显示了命中率，这表示存在性能问题。
However, this didn't relieve the performance problem on the full shard. As Horowitz notes.
但是，这种方式并没有缓解整个Shard的性能问题。
When this happens, increasing SORTHEAP just hides the performance problem — it does not fix it.
发生这种情况时，增加SORTHEAP只会隐藏性能问题-却无法修正它。
List a complete workload, including transactions that are not involved in the performance problem.
列出一个完整的工作负载，其中包括与性能问题无关的事务。
Sometimes customers report a performance problem where a specific query is not performing optimally.
有时候客户报告的性能问题中说某个特定查询的执行没有优化。
While not too bad for a short conversation, for something longer, it will be a real performance problem.
虽然对于较短的对话影响不大，但是如果对话很长，性能问题就显现出来了。
There are various tools available in this view that can be helpful when analyzing a performance problem.
这个视图中有不同的工具用来帮助分析性能问题。
Earlier in this article I recommended that you create a communications plan before a performance problem arises.
在本文前面，我建议在性能问题出现前制定沟通计划。
It makes sense to establish a method to measure performance. There are many ways to detect a performance problem.
建立一种测量性能的方法是有意义的。
The J2EE container vendors discovered this performance problem and improved their implementations in J2EE 1.3.
J2EE容器提供商发现了执行性能方面的问题并在J2EE 1.3中改进了他们的实现。
Simply put, this is the technique of solving methods aimed at identifying the underlying cause of a performance problem.
简单说来，这就是以确定和找出性能问题根源为目标的解决方法技术。
The timing information helps to compute metrics that help an analyst determine whether a performance problem is present.
这些时间信息有助于进行度量，然后可以对此进行分析以确定是否存在性能问题。
These tools allow you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并捕捉相关的数据以便进行历史趋势的研究和分析。
These tools enable you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
这些工具能使您快速对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
For unresolved fields that become resolved and frequently accessed, this naive procedure can be a huge performance problem.
对于那些由未解析变成已解析并被频繁访问的字段来说，这种简单的过程可能带来严重的性能问题。
Your options for a resolution might or might not be limited depending upon the actual root cause of the performance problem.
根据性能问题的实际根源，您的解决方法选项可能比较有限，也可能有多项选择。
Fortunately, once you understand what causes this particular performance problem, it is possible to avoid it in your system.
幸运的是，一旦理解了导致该性能问题的原因，就可以在您的系统中避免它。
These tools allow you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势的研究和分析。
These tools enable you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
These tools allow you to quickly troubleshoot a performance problem and capture data for historical trending and analysis.
这些工具都允许您快速地进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
Now the IT Department at Consolidated Powerworks has an answer for Easy Demand's performance problem-a new tool called Moonlight.
现在ConsolidatedPowerworks的IT部门对于EasyDemand的性能问题有了应对之策，即名为Moonlight的新工具。
Most of these tools allow you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
其中的大多数工具都允许快速地进行故障排除，并捕捉用于历史趋势研究和分析的数据。
Some of the tools allow you to quickly troubleshoot a performance problem and others capture data for historical trending and analysis.
其中一些工具允许您快速地对一个性能问题进行故障排除，而其他一些工具则允许您为进行历史趋势研究和分析捕获相关的数据。
Some of the tools allow you to troubleshoot a performance problem quickly while others capture data for historical trending and analysis.
一些工具支持快速诊断性能问题，而另一些工具则捕获历史趋势和分析数据。
For example, you might have a customer who is experiencing a performance problem on Friday in his development and production environments.
例如，您的客户可能在星期五在其开发和生产环境中遇到了性能问题。
Most of these tools allow you to both quickly troubleshoot a performance problem and capture data for historical trending and analysis.
其中的大多数工具都允许您快速地进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
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