Pavan Kunisetty nagapavan

System Design Books and links Book Links

System Design

Install and Create Emulators using AVDMANAGER and SDKMANAGER

TL;DR

For an emulator that mimics a Pixel 5 Device with Google APIs and ARM architecture (for an M1/M2 Macbook):

List All System Images Available for Download: sdkmanager --list | grep system-images
Download Image: sdkmanager --install "system-images;android-30;google_atd;arm64-v8a"

Every line of code we write today will end up as someone’s legacy code.

Everything that you write is going to disappears some day

RUM Code coverage, chose a 1h timeframe (per day) where 1% traffic run that the test

JS coverage

FES javascript instrimentation visualization

yum -y update
yum -y install yum-utils
yum-config-manager --add-repo https://yum.dockerproject.org/repo/main/centos/7
yum -y update
# yum search --showduplicates docker-engine
yum -y --nogpgcheck install docker-engine-1.12.6-1.el7.centos.x86_64
service docker start

List all Git repository objects by size

Summary
Example

Summary

Bash script which will:

Iterate all commits made within a Git repository.

tl;dr

Download and install Node.js
Download and extract the Sample Project
In a Terminal window, navigate to the extracted folder
Run npm install
Run the app

Introduction

This guide is meant to be a very quick setup for a Node.js REST API. It will include links to each component if you'd like to read more.

Note that I use macOS, so the commands may be slightly different on a non-Unix machine.

Ubuntu 16.04 Developer Tools Installation

First things first !

sudo apt update
sudo apt upgrade

Standard Developer Tools

sudo apt-get install build-essential git

	version: "3.9"

	services:
	jupyter:
	image: quay.io/jupyter/scipy-notebook
	ports:
	- "8888:8888"
	volumes:
	- ./notebooks:/home/jovyan/
	environment:

	apiVersion: v1
	kind: ServiceAccount
	metadata:
	name: elasticsearch-logging
	namespace: kube-system
	labels:
	k8s-app: elasticsearch-logging
	version: v1
	kubernetes.io/cluster-service: "true"
	addonmanager.kubernetes.io/mode: Reconcile

	#!/usr/bin/env bash

	# Path to the project directory (that should include requirements.txt),
	# Files and directories within that need to be deployed.
	project=../backend
	contents=(module lamdba_handler.py)

	# Unnecessary parts. Note that there are some inter-dependencies in SciPy,
	# for example to use scipy.stats you also need scipy.linalg, scipy.integrate,
	# scipy.misc, scipy.sparse, and scipy.special.