metrics

Prometheus 监控K8S集群中Pod kubelet的节点使用cAdvisor提供的metrics接口获取该节点所 有容器相关的性能指标数据。 暴露接口地址： https://NodeIP:10255/metrics/cadvisor https://NodeIP:10250/metrics/cadvisor 在K8S中部署Grafana与可视化 　　grafana 是一个可视化面板，有着非常漂亮的图表和布局展示，功能齐全的度量仪表盘和图形编辑器，支持 Graphite、zabbix、InfluxDB、Prometheus、OpenTSDB、Elasticsearch 等作为数据源，比 Prometheus 自带的图表展示功能强大太多，更加灵活，有丰富的插件，功能更加强大。 下载地址：https://grafana.com/grafana/download 集群资源监控模板号：3119 1、导入新创建的Prometheus地址 2、导入模板：使用3119模板 3、查看效果 4、根据源服务器调整监控指标 5、根据情况修改参数 6、查看效果 来源： https://www.cnblogs.com/xiangsikai/p/11432919.html

I was wondering how sites such as crazyegg.com store user click data during a session. Obviously there is some underlying script which is storing each clicks data, but how is that data then populated into a database? It seems to me the simple solution would be to send data via AJAX but when you consider that it's almost impossible to get a cross browser page unload function setup, I'm wondering if there is perhaps some other more advanced way of getting metric data. I even saw a site which records each mouse movement and I am guessing they are definitely not sending that data to a database on

I've been playing around with measuring the cyclomatic complexity of a big code base. Cyclomatic complexity is the number of linearly independent paths through a program's source code and there are lots of free tools for your language of choice. The results are interesting but not surprising. That is, the parts I know to be the hairiest were in fact the most complex (with a rating of > 50). But what I am finding useful is that a concrete "badness" number is assigned to each method as something I can point to when deciding where to start refactoring. Do you use cyclomatic complexity? What's the

Code lines per file, methods per class, cyclomatic complexity and so on. Developers resist and workaround most if not all of them! There is a good Joel article on it (no time to find it now). What code metric(s) you recommend for use to automatically identify "crappy code"? What can convince most (you can't convince all of us to some crappy metric! :O) ) of developers that this code is "crap". Only metrics that can be automatically measured counts! VonC No metrics regarding coding-style are part of such a warning. For me it is about static analysis of the code , which can truly be 'on' all the

In computer vision and object detection, the common evaluation method is mAP. What is it and how is it calculated? Jonathan Quotes are from the above mentioned Zisserman paper - 4.2 Evaluation of Results (Page 11) : First an "overlap criterion" is defined as an intersection-over-union greater than 0.5. (e.g. if a predicted box satisfies this criterion with respect to a ground-truth box, it is considered a detection). Then a matching is made between the GT boxes and the predicted boxes using this "greedy" approach: Detections output by a method were assigned to ground truth objects satisfying

Everybody always says that they can beat the "10 lines per developer per day" from the "Mythical Man Month", and starting a project, I can usually get a couple hundred lines in in a day. But at my previous employer, all the developers were very sharp, but it was a large project, over a million lines of code, with very onerous certification requirements, and interfacing with other multiple-million line projects. At some point, as an exercise in curiosity, I plotted lines of code in the shipping product in my group (not counting tools we developed), and sure enough, incrementally, it came to

下载 在 prometheus 的官网的 download 页面，可以找到prometheus的下载二进制包。 [root@node00 src]# cd /usr/src/ [root@node00 src]# wget https://github.com/prometheus/prometheus/releases/download/v2.12.0/prometheus-2.12.0.linux-amd64.tar.gz [root@node00 src]# mkdir /usr/local/prometheus/ [root@node00 src]# tar xf prometheus-2.12.0.linux-amd64.tar.gz -C /usr/local/prometheus/ [root@node00 src]# cd /usr/local/prometheus/ [root@node00 prometheus]# ln -s prometheus-2.12.0.linux-amd64 prometheus [root@node00 prometheus]# ll total 0 lrwxrwxrwx 1 root root 29 Sep 20 05:06 prometheus -> prometheus-2.12.0.linux-amd64 drwxr-xr

一、起因 为了适应多屏幕分辨率，可以在res目录下建立不同的layout文件，例如想适应C8500（320*240）和Milestone（854*480），可以在res目录下建立layout-320*240和layout-854*480两个目录，然后在其中定义不同的布局文件就可以了；但在实际中并没有凑效；这是为什么呢； 在真机下调试才发现有问题，Android有个类DisplayMetrics可以得到分辨率等信息，方法如下： DisplayMetrics metrics;getWindowManager().getDefaultDisplay().getMetrics(metrics); metrics.widthPixels 屏幕宽 metrics.heightPixels 屏幕高 metrics.density 屏幕密度 其它用不到的属性就不写了，调试中发现C8500得到的是427*320，而而Milestone得到是569*320；这是为什么呢？难道是Android API有问题？ 二、探索 实际上是自己对Android多屏幕分辨率理解不深刻，那么问题出在哪儿呢？这里需要用到一个公式pixels = dps * (density / 160)，在SDK中有提到，需要说明一点公式中的density与metrics.density不是一个东西，它们的关系是：metrics