用“metrics”造句大全，metrics造句

To improve and refine your processes, collect your metrics and tweak your processes to see how changes affect your results.

In my opinion, you should always gather statistics for these types of metrics, being they cost you nothing.

He talked about metrics, introducing an engineering and control perspective to the dialog and ultimately fostering more cross-pollination of ideas.

Of course, measuring implies testing, and these metrics should be measured experimentally in testing, as the timings vary from design to design.

As the African Leaders malaria Alliance, or ALMA, stated last month: "In Africa, we used to track malaria by metrics of despair: cases and deaths, wasted life and squandered opportunity."

However, if you begin to capture a few key metrics on all of your projects, you will grow a database of valuable information upon which you can apply statistical analyses.

Other standard metrics also fit the interception pattern.

Additionally, it allows polling of application metrics such as transaction rates and times, MQ queue manager status, message counters, or SLM metrics.

By doing this, you will then see metrics in the report that pertain only to that time range.

I've lived through many "savage" times, without the direction provided by useful metrics in my process, and it's no pleasure.

Data services also perform a critical governance function - they help centralize metrics, monitoring, version management, reuse of data types, and enforce data visibility and access rules.

When used to analyze IT investments like any other corporate investment, this is a fine approach, but when used carelessly or superficially, metrics like Total Cost of Ownership (TCO) result.

These metrics are more resistant to the presence of outliers.

Business results or metrics can be defined to be qualitative or quantitative.

Absent metrics, you have to extrapolate those insights manually, using so-called "tribal knowledge," word-of-mouth opinions, dozens of E-mail, and so forth.

Some people are interested only in machine alerting, others in performance metrics, others in job profiling, and others just want to know if certain services or applications are running.

How do we translate this into metrics of progress?

In previous articles in this series, I've shown you how to use code metrics to objectively measure code quality.

Next, you need to analyse the metrics.

I bring this up only because the focus here is on the metrics to be monitored and what you should look for, not how to configure your environment to capture the metrics themselves.

You can then create your aggregate metrics and key performance indicators from these initial metrics.

These expressions are applied to the "real" JDBC URL and are required so that the tracer can provide performance metrics to the APM system that are demarcated by the target database.

Then pick the right tools and metrics aligned with those goals.

These metrics were not our highest priority in our evaluations, but you should consider this information when looking at server performance.