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Tutorial: GIT and GitHub Terminologies - 2020





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Note

This Git terminology is a compiled work mostly based on http://git-scm.com/.





Index
  1. working directory
    Working directory is where the content of files are placed into actual files on our filesystem so we can edit the files.
  2. branch
    A branch in Git is simply a lightweight movable pointer to a commit.
  3. checkout
    To switch to an existing branch, we run the git checkout command.
  4. fetch
    To synchronize our work with remote/origin, we run a git fetch origin command.
  5. HEAD
    The HEAD in Git is the pointer to the current branch reference, which is in turn a pointer to the last commit we made or the last commit that was checked out into our working directory.
  6. index
    The index is our proposed next commit. In other words, the index is the snapshot of our next commit.
    After we do git add, and run git status, we will see the file in green under 'Changes to be Committed' because the index and HEAD differ - that is, our proposed next commit is now different from our last commit.
  7. master
    Master is the default branch name in Git.
  8. origin
    origin is the default name for a remote when we run git clone.
  9. pull
    git pull is essentially (git fetch + git merge).
  10. upstream branch
    Upstream branch (tracking branch) is a local branch that has a direct relationship to a remote branch.



Branch

A branch in Git is simply a lightweight movable pointer to a commit. The default branch name in Git is master. As we start making commits, we're given a master branch that points to the last commit we made. Every time we commit, it moves forward automatically.

If we want to make a new branch called testing, we do:

$ git branch testing

The git branch command only created a new branch, and it didn't switch to that branch.

Because a branch in Git is in actuality a simple file that contains the 40 character SHA-1 checksum of the commit it points to, branches are cheap to create and destroy. Creating a new branch is as quick and simple as writing 41 bytes to a file (40 characters and a newline).

This is in sharp contrast to the way most older VCS tools branch, which involves copying all of the project's files into a second directory. This can take several seconds or even minutes, depending on the size of the project, whereas in Git the process is always instantaneous. Also, because we're recording the parents when we commit, finding a proper merge base for merging is automatically done for us and is generally very easy to do. These features help encourage developers to create and use branches often.

See checkout.





checkout

Here is current status of our git:

$ git log --oneline --decorate
fd9c51d (HEAD, master) update1
6fc4a18 initial commit
Initial_HEAD_MASTER.png


Let's make another branch called 'testing':

$ git branch testing
$ git log --oneline --decorate
fd9c51d (HEAD, testing, master) update1
6fc4a18 initial commit
git_branch_testing.png


To switch to an existing branch, we run the git checkout command.
Let's switch to the new 'testing' branch:

$ git checkout testing
Switched to branch 'testing'

$ git log --oneline --decorate
fd9c51d (HEAD, testing, master) update1
6fc4a18 initial commit

This moves HEAD to point to the testing branch.

git_checkout_testing.png


If we make a commit to the 'testing' branch, the HEAD will point to a new snapshot:

$ vi README
$ git add README
$ git commit -m "update2"
[testing 1357337] update2
 1 file changed, 1 insertion(+), 1 deletion(-)
$ git log --oneline --decorate
1357337 (HEAD, testing) update2
fd9c51d (master) update1
6fc4a18 initial commit
git_commit_to_testing_head_move.png

Now our testing branch has moved forward, but our master branch still points to the commit we were on when we ran git checkout to switch branches.



Let's switch back to the master branch:

$ git checkout master
Switched to branch 'master'
$ git log --oneline --decorate
fd9c51d (HEAD, master) update1
6fc4a18 initial commit
git_checkout_back_to_master.png

That command did two things. It moved the HEAD pointer back to point to the master branch, and it reverted the files in our working directory back to the snapshot that master points to. This also means the changes we make from this point forward will diverge from an older version of the project. It essentially rewinds the work we've done in our testing branch so we can go in a different direction.

Note: Switching branches changes files in our working directory

It's important to note that when we switch branches in Git, files in our working directory will change. If we switch to an older branch, our working directory will be reverted to look like it did the last time we committed on that branch. If Git cannot do it cleanly, it will not let us switch at all. It's best to have a clean working state when we switch branches. However, if we've committed all our changes we can switch back to our master branch.

At this point, our project working directory is exactly the way it was. This is an important point to remember: when we switch branches, Git resets our working directory to look like it did the last time we committed on that branch. It adds, removes, and modifies files automatically to make sure our working copy is what the branch looked like on our last commit to it.

Now that we rolled back to older master, the 'README' file has the old update:

README
update 1

Note that we've changed to 'update2' before, however, it's done on the 'testing' branch. Let's make some changes in this master branch that's been reverted:

README
update 1->2

Then, do git commit:

$ git commit -a -m 'made changes again 1->2'
[master aec8024] made changes again 1->2
 1 file changed, 1 insertion(+), 1 deletion(-)

To check where is our HEAD:

$ git log --oneline --decorate
aec8024 (HEAD, master) made changes again 1->2
fd9c51d update1
6fc4a18 initial commit

The HEAD stays at the old reverted master:

branch_diverged.png

Now our project history has diverged. We created and switched to a branch, did some work on it, and then switched back to our main branch and did other work. Both of those changes are isolated in separate branches: we can switch back and forth between the branches and merge them together when we're ready. And we did all that with simple branch, checkout, and commit commands.

If we use git log with more flag such as --graph --all, we can see the history of our commits, showing where our branch pointers are and how our history has diverged.

$ git log --oneline --decorate --graph --all
* aec8024 (HEAD, master) made changes again 1->2
| * 1357337 (testing) update2
|/  
* fd9c51d update1
* 6fc4a18 initial commit




fetch

To synchronize our work with remote/origin, we run a git fetch origin command.

Our local and remote work can diverge as shown below:

Local_Remote_diverge.png

Suppose we do some work on our local master branch, and, in the meantime, someone else pushes to 'git.ourcompany.com' and updates its master branch, then our histories move forward differently. Also, as long as we stay out of contact with our origin server, our origin/master pointer doesn't move.


So, we need to synchronize our work with remote/origin. To do that we run a git fetch origin command. This command looks up which server origin is (in our case, it's 'git.ourcompany.com'), fetches any data from it that we don't yet have, and updates our local database, moving our origin/master pointer to its new, more up-to-date position: sync_with_fetch.png



HEAD

HEAD is a pointer to the local branch we're currently on.

The git branch command only created a new branch, and it didn't switch to that branch:

$ git log --oneline --decorate
fd9c51d (HEAD, master) update1
6fc4a18 initial commit
$ git branch testing
$ git log --oneline --decorate
fd9c51d (HEAD, testing, master) update1
6fc4a18 initial commit

See checkout.





master

Master is a default branch name in Git. A branch in Git is simply a lightweight movable pointer to a commit.

The master branch in Git is not a special branch. It is exactly like any other branch. The only reason nearly every repository has one is that the git init command creates it by default and most people don't bother to change it.

See checkout.





origin

origin is the default name for a remote when we run git clone.

Suppose we have a Git server on our network at 'git.ourcompany.com'. If we clone from this, Git's clone command automatically names it origin for us, pulls down all its data, creates a pointer to where its master branch is, and names it origin/master locally. Git also gives us our own local master branch starting at the same place as origin's master branch, so we have something to work from.

origin is not special:
Just like the branch name master does not have any special meaning in Git, neither does origin. While master is the default name for a starting branch when we run git init which is the only reason it's widely used, origin is the default name for a remote when we run git clone. If we run git clone -o foo instead, then we will have foo/master as our default remote branch.

Remote_origin.png

Note that our local and remote work can diverge.

Local_Remote_diverge.png

Suppose we do some work on our local master branch, and, in the meantime, someone else pushes to 'git.ourcompany.com' and updates its master branch, then our histories move forward differently. Also, as long as we stay out of contact with our origin server, our origin/master pointer doesn't move.

To see how to synchronize our local work with remote/origin, go to fetch.





pull

git pull is essentially a git fetch + git merge.

While the git fetch command will fetch down all the changes on the server that we don't have yet, it will not modify our working directory at all. It will simply get the data for us and let us merge it ourselves. However,

git pull is essentially a git fetch immediately followed by a git merge in most cases. git pull will look up what server and branch our current branch is tracking, fetch from that server and then try to merge in that remote branch.

Generally it's better to simply use the fetch and merge commands explicitly as the magic of git pull can often be confusing.





upstream_branch

Upstream branch (tracking branch) is a local branch that has a direct relationship to a remote branch.

Checking out a local branch from a remote branch automatically creates what is called a tracking branch (or sometimes an upstream branch). Tracking branches are local branches that have a direct relationship to a remote branch. If we're on a tracking branch and type git pull, Git automatically knows which server to fetch from and branch to merge into.

When we clone a repository, it generally automatically creates a master branch that tracks origin/master.









Git/GitHub Tutorial

  • One page express tutorial for GIT and GitHub
  • Installation
  • add/status/log
  • commit and diff
  • git commit --amend
  • Deleting and Renaming files
  • Undoing Things : File Checkout & Unstaging
  • Reverting commit
  • Soft Reset - (git reset --soft <SHA key>)
  • Mixed Reset - Default
  • Hard Reset - (git reset --hard <SHA key>)
  • Creating & switching Branches
  • Fast-forward merge
  • Rebase & Three-way merge
  • Merge conflicts with a simple example
  • GitHub Account and SSH
  • Uploading to GitHub
  • GUI
  • Branching & Merging
  • Merging conflicts
  • GIT on Ubuntu and OS X - Focused on Branching
  • Setting up a remote repository / pushing local project and cloning the remote repo
  • Fork vs Clone, Origin vs Upstream
  • Git/GitHub Terminologies
  • Git/GitHub via SourceTree I : Commit & Push
  • Git/GitHub via SourceTree II : Branching & Merging
  • Git/GitHub via SourceTree III : Git Work Flow
  • Git/GitHub via SourceTree IV : Git Reset
  • Git Cheat sheet - quick command reference











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    Sponsor Open Source development activities and free contents for everyone.

    Thank you.

    - K Hong





    Git/GitHub Tutorial



    One page express tutorial for GIT and GitHub

    Installation

    add/status/log

    commit and diff

    git commit --amend

    Deleting and Renaming files

    Undoing Things : File Checkout & Unstaging

    Reverting commit

    Soft Reset - (git reset --soft <SHA key>)

    Mixed Reset - Default

    Hard Reset - (git reset --hard <SHA key>)

    Creating & switching Branches

    Fast-forward merge

    Rebase & Three-way merge

    Merge conflicts with a simple example

    GitHub Account and SSH

    Uploading to GitHub

    GUI

    Branching & Merging

    Merging conflicts

    GIT on Ubuntu and OS X - Focused on Branching

    Setting up a remote repository / pushing local project and cloning the remote repo

    Fork vs Clone, Origin vs Upstream

    Git/GitHub Terminologies

    Git/GitHub via SourceTree I : Commit & Push

    Git/GitHub via SourceTree II : Branching & Merging

    Git/GitHub via SourceTree III : Git Work Flow

    Git/GitHub via SourceTree IV : Git Reset

    Git Cheat sheet - quick command reference



    Sponsor Open Source development activities and free contents for everyone.

    Thank you.

    - K Hong







    DevOps



    Phases of Continuous Integration

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    Introduction to DevOps

    Samples of Continuous Integration (CI) / Continuous Delivery (CD) - Use cases

    Artifact repository and repository management

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    Nagios on CentOS 7 with Nagios Remote Plugin Executor (NRPE)

    Nagios - The industry standard in IT infrastructure monitoring on Ubuntu

    Zabbix 3 install on Ubuntu 14.04 & adding hosts / items / graphs

    Datadog - Monitoring with PagerDuty/HipChat and APM

    Install and Configure Mesos Cluster

    Cassandra on a Single-Node Cluster

    Container Orchestration : Docker Swarm vs Kubernetes vs Apache Mesos

    OpenStack install on Ubuntu 16.04 server - DevStack

    AWS EC2 Container Service (ECS) & EC2 Container Registry (ECR) | Docker Registry

    CI/CD with CircleCI - Heroku deploy

    Introduction to Terraform with AWS elb & nginx

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    Kubernetes II - kops on AWS

    Kubernetes III - kubeadm on AWS

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    DevOps / Sys Admin Q & A



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    (2) - Networks

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    (3) - Linux Systems

    (4) - Scripting (Ruby/Shell)

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    (7) - Web server

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    (11) - SSH key pairs, SSL Certificate, and SSL Handshake

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    (25) - Domain Name System (DNS)

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    Docker & K8s



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    Dockerfile - Build Docker images automatically II - revisiting FROM, MAINTAINER, build context, and caching

    Dockerfile - Build Docker images automatically III - RUN

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    Dockerfile - Build Docker images automatically V - WORKDIR, ENV, ADD, and ENTRYPOINT

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    Docker Compose - Hashicorp's Vault and Consul Part C (Consul)

    Docker Compose with two containers - Flask REST API service container and an Apache server container

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    Docker compose : Nginx reverse proxy with multiple containers

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    Docker - Step by Step NodeJS and MySQL app with React - I

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    Docker - ECS Fargate

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    Docker & Kubernetes: minikube version: v1.31.2, 2023

    Docker & Kubernetes 1 : minikube

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    Docker & Kubernetes : Configure a Pod to Use a ConfigMap

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    Docker & Kubernetes : Run a React app in a minikube

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    Docker & Kubernetes : Pods and Service definitions

    Docker & Kubernetes : Headless service and discovering pods

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    Docker & Kubernetes : Kubernetes DNS with Pods and Services

    Docker & Kubernetes - Scaling and Updating application

    Docker & Kubernetes : Horizontal pod autoscaler on minikubes

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    Docker & Kubernetes : Slack Chat Bot with NodeJS on GCP Kubernetes

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    Docker & Kubernetes : StatefulSets on minikube

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    Docker & Kubernetes Service Account, RBAC, and IAM

    Docker & Kubernetes - Kubernetes Service Account, RBAC, IAM with EKS ALB, Part 1

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    Docker & Kubernetes : My first Helm deploy

    Docker & Kubernetes : Readiness and Liveness Probes

    Docker & Kubernetes : Helm chart repository with Github pages

    Docker & Kubernetes : Deploying WordPress and MariaDB with Ingress to Minikube using Helm Chart

    Docker & Kubernetes : Deploying WordPress and MariaDB to AWS using Helm 2 Chart

    Docker & Kubernetes : Deploying WordPress and MariaDB to AWS using Helm 3 Chart

    Docker & Kubernetes : Helm Chart for Node/Express and MySQL with Ingress

    Docker & Kubernetes : Docker_Helm_Chart_Node_Expess_MySQL_Ingress.php

    Docker & Kubernetes: Deploy Prometheus and Grafana using Helm and Prometheus Operator - Monitoring Kubernetes node resources out of the box

    Docker & Kubernetes : Deploy Prometheus and Grafana using kube-prometheus-stack Helm Chart

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    Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part I)

    Docker & Kubernetes : Deploying .NET Core app to Kubernetes Engine and configuring its traffic managed by Istio (Part II - Prometheus, Grafana, pin a service, split traffic, and inject faults)

    Docker & Kubernetes : Helm Package Manager with MySQL on GCP Kubernetes Engine

    Docker & Kubernetes : Deploying Memcached on Kubernetes Engine

    Docker & Kubernetes : EKS Control Plane (API server) Metrics with Prometheus

    Docker & Kubernetes : Spinnaker on EKS with Halyard

    Docker & Kubernetes : Continuous Delivery Pipelines with Spinnaker and Kubernetes Engine

    Docker & Kubernetes: Multi-node Local Kubernetes cluster - Kubeadm-dind(docker-in-docker)

    Docker & Kubernetes: Multi-node Local Kubernetes cluster - Kubeadm-kind(k8s-in-docker)

    Docker & Kubernetes : nodeSelector, nodeAffinity, taints/tolerations, pod affinity and anti-affinity - Assigning Pods to Nodes

    Docker & Kubernetes : Jenkins-X on EKS

    Docker & Kubernetes : ArgoCD App of Apps with Heml on Kubernetes

    Docker & Kubernetes : ArgoCD on Kubernetes cluster

    Docker & Kubernetes : GitOps with ArgoCD for Continuous Delivery to Kubernetes clusters (minikube) - guestbook





    Terraform



    Introduction to Terraform with AWS elb & nginx

    Terraform Tutorial - terraform format(tf) and interpolation(variables)

    Terraform Tutorial - user_data

    Terraform Tutorial - variables

    Terraform 12 Tutorial - Loops with count, for_each, and for

    Terraform Tutorial - creating multiple instances (count, list type and element() function)

    Terraform Tutorial - State (terraform.tfstate) & terraform import

    Terraform Tutorial - Output variables

    Terraform Tutorial - Destroy

    Terraform Tutorial - Modules

    Terraform Tutorial - Creating AWS S3 bucket / SQS queue resources and notifying bucket event to queue

    Terraform Tutorial - AWS ASG and Modules

    Terraform Tutorial - VPC, Subnets, RouteTable, ELB, Security Group, and Apache server I

    Terraform Tutorial - VPC, Subnets, RouteTable, ELB, Security Group, and Apache server II

    Terraform Tutorial - Docker nginx container with ALB and dynamic autoscaling

    Terraform Tutorial - AWS ECS using Fargate : Part I

    Hashicorp Vault

    HashiCorp Vault Agent

    HashiCorp Vault and Consul on AWS with Terraform

    Ansible with Terraform

    AWS IAM user, group, role, and policies - part 1

    AWS IAM user, group, role, and policies - part 2

    Delegate Access Across AWS Accounts Using IAM Roles

    AWS KMS

    terraform import & terraformer import

    Terraform commands cheat sheet

    Terraform Cloud

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    Creating Private TLS Certs





    Jenkins



    Install

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    Adding job and build

    Scheduling jobs

    Managing_plugins

    Git/GitHub plugins, SSH keys configuration, and Fork/Clone

    JDK & Maven setup

    Build configuration for GitHub Java application with Maven

    Build Action for GitHub Java application with Maven - Console Output, Updating Maven

    Commit to changes to GitHub & new test results - Build Failure

    Commit to changes to GitHub & new test results - Successful Build

    Adding code coverage and metrics

    Jenkins on EC2 - creating an EC2 account, ssh to EC2, and install Apache server

    Jenkins on EC2 - setting up Jenkins account, plugins, and Configure System (JAVA_HOME, MAVEN_HOME, notification email)

    Jenkins on EC2 - Creating a Maven project

    Jenkins on EC2 - Configuring GitHub Hook and Notification service to Jenkins server for any changes to the repository

    Jenkins on EC2 - Line Coverage with JaCoCo plugin

    Setting up Master and Slave nodes

    Jenkins Build Pipeline & Dependency Graph Plugins

    Jenkins Build Flow Plugin

    Pipeline Jenkinsfile with Classic / Blue Ocean

    Jenkins Setting up Slave nodes on AWS

    Jenkins Q & A





    Puppet



    Puppet with Amazon AWS I - Puppet accounts

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    Puppet with Amazon AWS III - Puppet running Hello World

    Puppet Code Basics - Terminology

    Puppet with Amazon AWS on CentOS 7 (I) - Master setup on EC2

    Puppet with Amazon AWS on CentOS 7 (II) - Configuring a Puppet Master Server with Passenger and Apache

    Puppet master /agent ubuntu 14.04 install on EC2 nodes

    Puppet master post install tasks - master's names and certificates setup,

    Puppet agent post install tasks - configure agent, hostnames, and sign request

    EC2 Puppet master/agent basic tasks - main manifest with a file resource/module and immediate execution on an agent node

    Setting up puppet master and agent with simple scripts on EC2 / remote install from desktop

    EC2 Puppet - Install lamp with a manifest ('puppet apply')

    EC2 Puppet - Install lamp with a module

    Puppet variable scope

    Puppet packages, services, and files

    Puppet packages, services, and files II with nginx Puppet templates

    Puppet creating and managing user accounts with SSH access

    Puppet Locking user accounts & deploying sudoers file

    Puppet exec resource

    Puppet classes and modules

    Puppet Forge modules

    Puppet Express

    Puppet Express 2

    Puppet 4 : Changes

    Puppet --configprint

    Puppet with Docker

    Puppet 6.0.2 install on Ubuntu 18.04





    Chef



    What is Chef?

    Chef install on Ubuntu 14.04 - Local Workstation via omnibus installer

    Setting up Hosted Chef server

    VirtualBox via Vagrant with Chef client provision

    Creating and using cookbooks on a VirtualBox node

    Chef server install on Ubuntu 14.04

    Chef workstation setup on EC2 Ubuntu 14.04

    Chef Client Node - Knife Bootstrapping a node on EC2 ubuntu 14.04





    Vagrant



    VirtualBox & Vagrant install on Ubuntu 14.04

    Creating a VirtualBox using Vagrant

    Provisioning

    Networking - Port Forwarding

    Vagrant Share

    Vagrant Rebuild & Teardown

    Vagrant & Ansible





    GCP (Google Cloud Platform)



    GCP: Creating an Instance

    GCP: gcloud compute command-line tool

    GCP: Deploying Containers

    GCP: Kubernetes Quickstart

    GCP: Deploying a containerized web application via Kubernetes

    GCP: Django Deploy via Kubernetes I (local)

    GCP: Django Deploy via Kubernetes II (GKE)





    AWS (Amazon Web Services)



    AWS : EKS (Elastic Container Service for Kubernetes)

    AWS : Creating a snapshot (cloning an image)

    AWS : Attaching Amazon EBS volume to an instance

    AWS : Adding swap space to an attached volume via mkswap and swapon

    AWS : Creating an EC2 instance and attaching Amazon EBS volume to the instance using Python boto module with User data

    AWS : Creating an instance to a new region by copying an AMI

    AWS : S3 (Simple Storage Service) 1

    AWS : S3 (Simple Storage Service) 2 - Creating and Deleting a Bucket

    AWS : S3 (Simple Storage Service) 3 - Bucket Versioning

    AWS : S3 (Simple Storage Service) 4 - Uploading a large file

    AWS : S3 (Simple Storage Service) 5 - Uploading folders/files recursively

    AWS : S3 (Simple Storage Service) 6 - Bucket Policy for File/Folder View/Download

    AWS : S3 (Simple Storage Service) 7 - How to Copy or Move Objects from one region to another

    AWS : S3 (Simple Storage Service) 8 - Archiving S3 Data to Glacier

    AWS : Creating a CloudFront distribution with an Amazon S3 origin

    AWS : Creating VPC with CloudFormation

    WAF (Web Application Firewall) with preconfigured CloudFormation template and Web ACL for CloudFront distribution

    AWS : CloudWatch & Logs with Lambda Function / S3

    AWS : Lambda Serverless Computing with EC2, CloudWatch Alarm, SNS

    AWS : Lambda and SNS - cross account

    AWS : CLI (Command Line Interface)

    AWS : CLI (ECS with ALB & autoscaling)

    AWS : ECS with cloudformation and json task definition

    AWS : AWS Application Load Balancer (ALB) and ECS with Flask app

    AWS : Load Balancing with HAProxy (High Availability Proxy)

    AWS : VirtualBox on EC2

    AWS : NTP setup on EC2

    AWS: jq with AWS

    AWS : AWS & OpenSSL : Creating / Installing a Server SSL Certificate

    AWS : OpenVPN Access Server 2 Install

    AWS : VPC (Virtual Private Cloud) 1 - netmask, subnets, default gateway, and CIDR

    AWS : VPC (Virtual Private Cloud) 2 - VPC Wizard

    AWS : VPC (Virtual Private Cloud) 3 - VPC Wizard with NAT

    AWS : DevOps / Sys Admin Q & A (VI) - AWS VPC setup (public/private subnets with NAT)

    AWS : OpenVPN Protocols : PPTP, L2TP/IPsec, and OpenVPN

    AWS : Autoscaling group (ASG)

    AWS : Setting up Autoscaling Alarms and Notifications via CLI and Cloudformation

    AWS : Adding a SSH User Account on Linux Instance

    AWS : Windows Servers - Remote Desktop Connections using RDP

    AWS : Scheduled stopping and starting an instance - python & cron

    AWS : Detecting stopped instance and sending an alert email using Mandrill smtp

    AWS : Elastic Beanstalk with NodeJS

    AWS : Elastic Beanstalk Inplace/Rolling Blue/Green Deploy

    AWS : Identity and Access Management (IAM) Roles for Amazon EC2

    AWS : Identity and Access Management (IAM) Policies, sts AssumeRole, and delegate access across AWS accounts

    AWS : Identity and Access Management (IAM) sts assume role via aws cli2

    AWS : Creating IAM Roles and associating them with EC2 Instances in CloudFormation

    AWS Identity and Access Management (IAM) Roles, SSO(Single Sign On), SAML(Security Assertion Markup Language), IdP(identity provider), STS(Security Token Service), and ADFS(Active Directory Federation Services)

    AWS : Amazon Route 53

    AWS : Amazon Route 53 - DNS (Domain Name Server) setup

    AWS : Amazon Route 53 - subdomain setup and virtual host on Nginx

    AWS Amazon Route 53 : Private Hosted Zone

    AWS : SNS (Simple Notification Service) example with ELB and CloudWatch

    AWS : Lambda with AWS CloudTrail

    AWS : SQS (Simple Queue Service) with NodeJS and AWS SDK

    AWS : Redshift data warehouse

    AWS : CloudFormation - templates, change sets, and CLI

    AWS : CloudFormation Bootstrap UserData/Metadata

    AWS : CloudFormation - Creating an ASG with rolling update

    AWS : Cloudformation Cross-stack reference

    AWS : OpsWorks

    AWS : Network Load Balancer (NLB) with Autoscaling group (ASG)

    AWS CodeDeploy : Deploy an Application from GitHub

    AWS EC2 Container Service (ECS)

    AWS EC2 Container Service (ECS) II

    AWS Hello World Lambda Function

    AWS Lambda Function Q & A

    AWS Node.js Lambda Function & API Gateway

    AWS API Gateway endpoint invoking Lambda function

    AWS API Gateway invoking Lambda function with Terraform

    AWS API Gateway invoking Lambda function with Terraform - Lambda Container

    Amazon Kinesis Streams

    Kinesis Data Firehose with Lambda and ElasticSearch

    Amazon DynamoDB

    Amazon DynamoDB with Lambda and CloudWatch

    Loading DynamoDB stream to AWS Elasticsearch service with Lambda

    Amazon ML (Machine Learning)

    Simple Systems Manager (SSM)

    AWS : RDS Connecting to a DB Instance Running the SQL Server Database Engine

    AWS : RDS Importing and Exporting SQL Server Data

    AWS : RDS PostgreSQL & pgAdmin III

    AWS : RDS PostgreSQL 2 - Creating/Deleting a Table

    AWS : MySQL Replication : Master-slave

    AWS : MySQL backup & restore

    AWS RDS : Cross-Region Read Replicas for MySQL and Snapshots for PostgreSQL

    AWS : Restoring Postgres on EC2 instance from S3 backup

    AWS : Q & A

    AWS : Security

    AWS : Security groups vs. network ACLs

    AWS : Scaling-Up

    AWS : Networking

    AWS : Single Sign-on (SSO) with Okta

    AWS : JIT (Just-in-Time) with Okta



    Big Data & Hadoop Tutorials



    Hadoop 2.6 - Installing on Ubuntu 14.04 (Single-Node Cluster)

    Hadoop 2.6.5 - Installing on Ubuntu 16.04 (Single-Node Cluster)

    Hadoop - Running MapReduce Job

    Hadoop - Ecosystem

    CDH5.3 Install on four EC2 instances (1 Name node and 3 Datanodes) using Cloudera Manager 5

    CDH5 APIs

    QuickStart VMs for CDH 5.3

    QuickStart VMs for CDH 5.3 II - Testing with wordcount

    QuickStart VMs for CDH 5.3 II - Hive DB query

    Scheduled start and stop CDH services

    CDH 5.8 Install with QuickStarts Docker

    Zookeeper & Kafka Install

    Zookeeper & Kafka - single node single broker

    Zookeeper & Kafka - Single node and multiple brokers

    OLTP vs OLAP

    Apache Hadoop Tutorial I with CDH - Overview

    Apache Hadoop Tutorial II with CDH - MapReduce Word Count

    Apache Hadoop Tutorial III with CDH - MapReduce Word Count 2

    Apache Hadoop (CDH 5) Hive Introduction

    CDH5 - Hive Upgrade to 1.3 to from 1.2

    Apache Hive 2.1.0 install on Ubuntu 16.04

    Apache HBase in Pseudo-Distributed mode

    Creating HBase table with HBase shell and HUE

    Apache Hadoop : Hue 3.11 install on Ubuntu 16.04

    Creating HBase table with Java API

    HBase - Map, Persistent, Sparse, Sorted, Distributed and Multidimensional

    Flume with CDH5: a single-node Flume deployment (telnet example)

    Apache Hadoop (CDH 5) Flume with VirtualBox : syslog example via NettyAvroRpcClient

    List of Apache Hadoop hdfs commands

    Apache Hadoop : Creating Wordcount Java Project with Eclipse Part 1

    Apache Hadoop : Creating Wordcount Java Project with Eclipse Part 2

    Apache Hadoop : Creating Card Java Project with Eclipse using Cloudera VM UnoExample for CDH5 - local run

    Apache Hadoop : Creating Wordcount Maven Project with Eclipse

    Wordcount MapReduce with Oozie workflow with Hue browser - CDH 5.3 Hadoop cluster using VirtualBox and QuickStart VM

    Spark 1.2 using VirtualBox and QuickStart VM - wordcount

    Spark Programming Model : Resilient Distributed Dataset (RDD) with CDH

    Apache Spark 2.0.2 with PySpark (Spark Python API) Shell

    Apache Spark 2.0.2 tutorial with PySpark : RDD

    Apache Spark 2.0.0 tutorial with PySpark : Analyzing Neuroimaging Data with Thunder

    Apache Spark Streaming with Kafka and Cassandra

    Apache Spark 1.2 with PySpark (Spark Python API) Wordcount using CDH5

    Apache Spark 1.2 Streaming

    Apache Drill with ZooKeeper install on Ubuntu 16.04 - Embedded & Distributed

    Apache Drill - Query File System, JSON, and Parquet

    Apache Drill - HBase query

    Apache Drill - Hive query

    Apache Drill - MongoDB query









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