4. Repeat for weaker signals c. PROBLEMS THAT ARISE WHEN OUR TELEMETRY DATA HAS NON-GAUSSIAN DISTRIBUTION i. Many operational data sets are non-Gaussian (Bell curve) so standard deviations will likely

--service-cidr=10.7.0.0/16 \ # service网段，即cluster ip网段 --ignore-preflight-errors=Swap \ #忽略swap未关闭而导致的检查错误 --image-repository="cof- lee.com:5443/k8s" #指定为集群内部的docker镜像源 如果指定使用集群内部的docker镜像仓库，要提前在docker的daemon com:5443/k8s/etcd:3.4.13-0 #可见镜像名已由默认的k8s.gcr.io/换成了配置文件里指定的docker镜像源 # kubeadm config images pull --image-repository="cof-lee.com:5443/k8s" #提前 下载需要的镜像 # kubeadm init --config /etc/kubeadm-init.yaml /etc/containerd/config.toml #修改以下2行配置 SystemdCgroup = true sandbox_image = "cof-lee.com:5443/k8s/pause:3.9" #和k8s需要的pause镜 像版本保持一致 #如果要启用CRI-Plugin，注释掉其中的

test_pyautogui_cv2(): img = pyautogui.screenshot() open_cv_image = numpy.array(img) # Convert RGB to BGR,opencv read image as BGR,but Pillow is RGB # OpenCV读取的图片顺序是BGR，而Pillow是RGB，PyAutoGui用的 是Pillow，所以需要把RGB转换为BGR，不然OpenCV中的颜色会发蓝 open_cv_image = cv2.cvtColor(open_cv_image, cv2.COLOR_RGB2BGR) cv2.imwrite('D:\\tmp\\test-pyautogui-cv2.png', open_cv_image) if __name__ == '__main__': test_pyautogui_cv2() test_pyautogui_cv2() ★PIL模块（pillow图像处理） PIL是指“Python Imaging Library”，PIL通过Image类来表示一个图像对 象，可以对该对象进行各种操作，如调整图像大小、裁剪、旋转、滤 镜、格式转换等。在将PIL图像对象保存为其他格式时，需要使用 save()方法，并将文件名参数设置为要保存的文件名及格式后缀。基本 上能将图片转换成任何一种常

net/docluv/putting-performance-best-practices-together-for-a-spa  "We have created the web in our own image, and it is obese"  Modern web hourglass, web tier is now thin, smarts moved to browser Metrics

DevSecOps LifecycleDevSecOps Pillars DevSecOps EcosystemDevSecOps Software Factory DevSecOps MVP Image from https://github.com/jondavid-black/DevOpsForDefense/raw/master/Meetup/2019/2019-10%20DO4D%20-