Docker

Azure Cosmos DB Emulator and Storage Emulator

Posted on by admin
How to install AWS and Azure CLI with Homebrew

Azurite emulator provides a free local environment for testing your Azure blob, queue storage, and table storage applications. Find more details in https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azurite?tabs=docker-hub

Cosmosdb emulator provides a local environment that emulates the Azure Cosmos DB service for development purposes. Using the Azure Cosmos DB Emulator, you can develop and test your application locally. You can develop applications using Azure Cosmos DB Emulator with the SQL, Cassandra, MongoDB, Gremlin/Graph, and Table API accounts. Currently the data explorer in the emulator fully supports viewing SQL data only; the data created using MongoDB, Gremlin/Graph and Cassandra client applications it is not viewable at this time. 

Creating docker-compose.yml file

version: '3.4'

services:
  cosmosdb:
    container_name: cosmosdb
    image: "mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator"
    tty: true
    restart: always
    mem_limit: 3g
    cpu_count: 2
    environment:
      - AZURE_COSMOS_EMULATOR_PARTITION_COUNT=10
      - AZURE_COSMOS_EMULATOR_ENABLE_DATA_PERSISTENCE=true
      - AZURE_COSMOS_EMULATOR_IP_ADDRESS_OVERRIDE=${HOST_IP}
    ports:
        - "8081:8081"
        - "10251:10251"
        - "10252:10252"
        - "10253:10253"
        - "10254:10254"
    volumes:
        - vol_cosmos:/data/db

  azurite:
    container_name: azurite
    image: "mcr.microsoft.com/azure-storage/azurite"
    restart: always
    ports:
        - "10000:10000"
        - "10001:10001"
        - "10002:10002"
    volumes:
        - vol_cosmos:/data

volumes:
  vol_cosmos:
Continue reading →

Oracle Docker Container Exercise

Posted on by admin

You can up and run Oracle Docker container in your local machine and later connect from sqlplus CLI to query your database.

Follow the following Oracle GitHub link for more details

https://github.com/oracle/docker-images/tree/master/OracleDatabase/SingleInstance

After cloning Oracle docker-images repository from GitHub, run the following command in your terminal to build a Oracle Docker XE image.

docker build --force-rm=true --no-cache=true --shm-size=1G --build-arg DB_EDITION=xe -t oracle/database:18.4.0-xe -f Dockerfile.xe .

When build is done, run the following command to start a Oracle XE Database container.

docker run -d --name oracleXe --network=oracle_xe_network -p 1521:1521 -p 5500:5500 -e ORACLE_PWD="Pass_123456" oracle/database:18.4.0-xe

LoopBack 3 – Simple API with Redis Example

Posted on by admin

Expose your Redis NoSQL as a REST service with LoopBack 3 (Node.js Open API Framework)

This post is continuation of previous post. So if you want to start from beginning, read that one as well.

LoopBack 3 – Simple API with MySQL Example

You can find LoopBack 3 project in the following repository. After clonning switch to mongodb branch 🙂 or run the following command.

git checkout redis

https://github.com/kenanhancer/loopback3-simple-api.git

MongoDB Docker Container Exercise

Posted on by admin

You can up and run MongoDB Docker container in your local machine and later connect from mysql CLI to query your collections.

Run the following command in your terminal to up and run a MongoDB NoSQL Docker container.

docker run -p 27017:27017 --name mongoDbTest -d mongo:latest

Run the below code in the terminal to connect to running container.

docker exec -it mongoDbTest bash

Run the below code in the terminal after connecting to container.

mongo

Follow the following link for more details

https://hub.docker.com/_/mongo

MySQL Docker Container Exercise

Posted on by admin

You can up and run MySQL Docker container in your local machine and later connect from mysql CLI to query your database.

Run the following command in your terminal to up and run a MySQL Database Docker container.

docker run -p 3306:3306 --name some-mysql -e MYSQL_ROOT_PASSWORD=my-secret-pw -d mysql:latest

Run the below code in the terminal to connect to running container.

docker exec -it some-mysql bash

Run the below code in the terminal after connecting to container.

mysql -h 127.0.0.1 -P 3306 -u root -p

Then you need to enter password, we need to enter my-secret-pw

Follow the following link for more details

https://hub.docker.com/_/mysql

There are more practice in this video 🙂

Kubernetes multi node cluster with One Updated Vagrant File

Posted on by admin

Actually there is already a Kubernetes multi node cluster post (https://kenanhancer.com/2018/09/26/kubernetes-multi-node-cluster-with-vagrant/) in this blog. But, this one is different. That post was showing 3 empty virtual server up and run later install tools step by step so it was taking too much time. If you run this Vagrantfile, it will create one master node and 2 worker nodes in Virtualbox. This Vagrantfile is also more configurable. If you need more servers, just append new item in "servers" array in Vagrantfile.

This is the expected result 🙂 As I mentioned at the beginning of the post, one master node and two worker nodes are created in Virtualbox.

Kubernetes single node cluster with Minikube and Vagrant

Posted on by admin

The following Vagrantfile code(syntax is Ruby) is creating single node Kubernetes cluster with Minikube.

Copy above code and follow the following screenshots. Run the following commands in Terminal.

mkdir MinikubeVagrant

cd MinikubeVagrant

nano Vagrantfile

Paste the Vagrantfile content like below.

save Vagrantfile and run the following command to start virtual machine.

vagrant up

Creating Kubernetes Dashboard Proxy

After Vagrant is up, it means that Minikube is ready to use. So, connect with SSH to Vagrant machine and run the following code to start Kubernetes Dashboard Proxy.

kubectl proxy --address 0.0.0.0 --port=8001 --accept-hosts '.*'

Connecting to Kubernetes Dashboard from Host machine

Click one of the following link to connect the Dashboard. Ta taaa 🙂

http://127.0.0.1:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/#!/login

or

http://localhost:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/#!/login

Rest of the details are already mentioned in this blog link Kubernetes multi node cluster with Vagrant (included Kubernetes Dashboards, Grafana, Prometheus)

read the Kubernetes Dashboard Access Control paragraph.

Docker VirtualBox with Vagrant

Posted on by admin

If you have installed Vagrant CLI (https://kenanhancer.com/2019/09/22/creating-starting-stopping-packaging-and-publishing-a-vagrant-box/), just run the following command to create docker installed virtual box.

The following command will download Vagrant box from Vagrant Cloud.

vagrant init kenanhancer/DockerMachine

This command will up and run the virtual machine in your VirtualBox. So you need to install VirtualBox as well 🙂 

vagrant up

If you want to check status of virtual machine, run the following command.

vagrant status

If you want to see ports of virtual machine, run the following command.

vagrant port

to connect created virtual machine, run the following command in the Vagrantfile directory.

vagrant ssh

if you want to see details of Vagrantfile, check it as below.

Creating a Vagrant Package file

vagrant package --output dockermachine.box --vagrantfile Vagrantfile

Pushing Created Vagrant Package to Vagrant Cloud

After you create a Vagrant Package, run the following command in the package file location.

vagrant push

Kubernetes multi node cluster with Vagrant (included Kubernetes Dashboards, Grafana, Prometheus)

Posted on by admin

The following Vagrantfile code(syntax is Ruby) is creating one master node and two worker nodes for Kubernetes.

Go to Vagrantfile directory in Terminal and run the following code to create virtual machines.

The following Vagrantfile code(syntax is Ruby) is creating one master node and two worker nodes for Kubernetes.

Go to Vagrantfile directory in Terminal and run the following code to create virtual machines.

As you can see in the below picture, three virtual machines are obtained and running.

But, Kubernetes cluester is still not ready. We created just an environment to install the cluster.
Continue reading →