- OpenStack Cloud Computing Cookbook（Third Edition）
- Kevin Jackson Cody Bunch Egle Sigler
- 258字
- 2021-07-16 20:39:16
Registering a remotely stored image
OpenStack Image Service provides a mechanism to remotely add an image that is stored at an externally accessible location. This allows for a convenient method of adding images we might want to on our private cloud that have been uploaded to an external third-party server.
Getting ready
To begin with, ensure you are logged in to our Ubuntu client where we can run the glance tool. This can be installed using the following command:
sudo apt-get update sudo apt-get install python-glanceclient
Ensure that you have your environment variable set up correctly with our admin user and password, as created in the previous chapter:
export OS_TENANT_NAME=cookbook export OS_USERNAME=admin export OS_PASSWORD=openstack export OS_AUTH_URL=https://192.168.100.200:5000/v2.0/ export OS_NO_CACHE=1 export OS_KEY=/vagrant/cakey.pem export OS_CACERT=/vagrant/ca.pem
How to do it...
Carry out the following steps to remotely store an image in our OpenStack Image Service:
- To register a remote virtual image into our environment, we add a location parameter instead of streaming the image through a pipe on our
glancecommand line:glance image-create \ --name='Ubuntu 12.04 x86_64 Server' \ --disk-format=qcow2 \ --container-format=bare \ --public \ --location http://webserver/precise-server-cloudimg-amd64-disk1.img
- The preceding step returns information similar to what you can see here, which is then stored in our OpenStack Image Service:
How it works...
Using the glance tool to specify remote images directly provides a quick and convenient way to add images to our OpenStack Image Service repository. The way this happens is with the location parameter. We add in our usual meta information to accompany this, as we would with a locally-specified image.
- Web前端開發(fā)技術(shù)：HTML、CSS、JavaScript（第3版）
- HTML5移動Web開發(fā)技術(shù)
- 深入理解Django：框架內(nèi)幕與實(shí)現(xiàn)原理
- Learning Bayesian Models with R
- 征服RIA
- Python高效開發(fā)實(shí)戰(zhàn)：Django、Tornado、Flask、Twisted（第2版）
- Oracle從入門到精通（第5版）
- SQL Server從入門到精通（第3版）
- 學(xué)習(xí)OpenCV 4：基于Python的算法實(shí)戰(zhàn)
- 匯編語言編程基礎(chǔ)：基于LoongArch
- OpenStack Networking Essentials
- 深入分析GCC
- AI輔助編程Python實(shí)戰(zhàn)：基于GitHub Copilot和ChatGPT
- Learning GraphQL and Relay
- Java項(xiàng)目驅(qū)動開發(fā)教程