Tutorial: GIT and GitHub Source Tree III (Git Workflow) - 2020
The general idea is that we use the following branches in our repository:
- Development branch ('develop') This is our main development branch where all the changes destined for the next release are placed, either by committing directly for small changes, or by merging other branches (e.g. feature branches)
- Production branch ('master') This branch represents the latest released / deployed codebase. Only updated by merging other branches into it.
- Feature branches ('feature/') When we start work on anything non-trivial, we create a feature branch. Later on, we'll merge this back into the development branch to queue it for the next release.
- Release branches ('release/') When we're about to package a new release, we create a release branch from the development branch. We can make more commits to it during our preparation for release, and when it's ready to be deployed we merge it back into both the development branch, and the master branch (to indicate it's deployed).
- Hotfix branches ('hotfix/') If we need to patch the latest release without picking up new features from the development branch, we can create a hotfix branch from the latest master branch (which is the latest deployed code). Once we've made our changes, the hotfix branch is then merged back into both the master branch (to update the released version) and the development branch (to make sure the fixes go into the next release too)
In this chapter, we'll build our repo following the "Git Flow" suggestions from "Git Flow" top menu in SourceTree:
Let's clone our new repo, SourceTree2 which has nothing but "README.md":
To create standard branches of Git Work Flow, we need click "Git Flow" on the top menu. The we get the following:
We get the git that looks like this:
Press "Git Flow" again:
Select "Start a New Feature", and type in the name of the feature:
After two commits to feature-A:
Press "Git Flow" again:
Now the feature-A branch has been merged into develop branch:
Select "New Release" after pressing "Git Flow":
It gives us the following:
If we finish the release:
Select "Start a new Hotfix" after pressing "Git Flow":
After making two Hotfixes:
From Git Flow, select "Finish":
Git/GitHub Tutorial
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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
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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)
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Docker & Kubernetes : GitOps with ArgoCD for Continuous Delivery to Kubernetes clusters (minikube) - guestbook
Vagrant
VirtualBox & Vagrant install on Ubuntu 14.04
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AWS (Amazon Web Services)
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AWS : Identity and Access Management (IAM) sts assume role via aws cli2
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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)
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AWS : CloudFormation Bootstrap UserData/Metadata
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AWS : Cloudformation Cross-stack reference
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AWS CodeDeploy : Deploy an Application from GitHub
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AWS EC2 Container Service (ECS) II
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AWS Lambda Function Q & A
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Amazon Kinesis Streams
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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