go server space

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud.In this article we will explain about creating a mysql database using aws RDS. From AWS RDS dashboard click on instances > Then click on Launch DB instances. First we need to select engine.Here we will go with Mysql engine.Then click next.On the next window appears we will select our use case.We will go with Production-Mysql and click next. On the next window that appears we can select various options such as mysql version ,instance class,storage type,size multi-az deployment and so on.Here we selecting t2-micro as size, storage type as general purpose SSD and mysql version as mysql 5.6.39.Also we are not going with multi-AZ deployment.We can also see estimated cost over here. Under settings we can give the db identifier name.Also we can give username and password for it. Under network and security give the details about subn

We can use volumes with docker for persistent storage.To create a volume use command #docker volume create mytestvol This will create a volume named mytestvol. To list it #docker volume ls We can see our volume mytestvol is listed in it. To inspect that #docker volume inspect mytestvol The volumes that we create will be created inside /var/lib/docker/volumes.Go inside that folder and we can see that our volume mytestvol is present there To delete a volume #docker volume rm mytestvol2 Here mytestvol2 is the new volume that we created. Now we will check how to mount a volume to a container. #docker container run -dit --name mygoof --mount source=volpool,target=/vol centos:centos6 Here docker will run a new centos6 container with a new volume named volpool attached to /vol directory of centos container.Here docker will create a new volume automatically.Now check #docker volume ls We can see new volume volpool is created #docker ps We can see our container named m