Aviatrix Sandbox Starter Tool - Local Machine Option
Aviatrix Sandbox Starter Tool (SST) is a community-based and community-supported tool that deploys a small test/lab cloud network environment in minutes.
Everything is self-contained in a docker image. Users do not need to install anything besides a docker run time on a laptop/desktop/VM/instance.
The local machine option requires understanding Docker and its interaction with the underlying operating systems such as Mac, Windows, Linux, etc. It is recommended to Use the Cloud AMI version of the tool if you are new to Dockers.
Before You Run the Tool
- Install Docker on local machine/laptop/desktop/etc. and keep it running
- Make sure you have access to AWS Access Key ID and Secret Access Key
- Create EC2 Key Pair name for AWS Ohio region
- Subscribe to Aviatrix metered software from AWS Marketplace
- Make sure you have Azure account/subscription details (optional)
- This procedure works the best for a brand new Aviatrix Controller deployment. If you previously deployed Aviatrix Controller, make sure aviatrix ec2 roles and policies are deleted
To launch the Sandbox Starter Tool UI, run the following commands in the CLI console of your Windows/MAC/Linux machine
docker volume create TF docker run -v TF:/root -p 5000:5000 -d aviatrix/sandbox-starter
Now browse to http://localhost:5000/ on your local machine, and then follow the step-by-step guided workflow.
For detailed instructions and screenshots, please follow the steps documented in the SandBox Starter Post.
This community-based and open-source tool is NOT supported by the Aviatrix Enterprise support team. For any questions or issues related to this tool, please use the Aviatrix Community platform.
- Code for this open-source tool is available at https://github.com/AviatrixSystems/terraform-solutions/
- This tool is packaged as a container image that could run locally on the Windows/Linux/MACOS laptop/server/VM or EC2 instances. The container code is available here
The debug option or icon inside the UI will provide you necessary run-time logs.
Error Creating IAM Role/Policy
If you have previously deployed Aviatrix Controller under the same AWS account, you will receive the following errors. You need to manually remove those roles and policies before moving forward
Error: Error creating IAM Role aviatrix-role-ec2: EntityAlreadyExists: Role with name aviatrix-role-ec2 already exists. Error: Error creating IAM Role aviatrix-role-app: EntityAlreadyExists: Role with name aviatrix-role-app already exists. Error: Error creating IAM policy aviatrix-assume-role-policy: EntityAlreadyExists: A policy called aviatrix-assume-role-policy already exists. Duplicate names are not allowed. Error: Error creating IAM policy aviatrix-app-policy: EntityAlreadyExists: A policy called aviatrix-app-policy already exists. Duplicate names are not allowed.
You can also check the UI API Status here
ssh Inside the Container Image
shahzadali@shahzad-ali ~ % docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES befa145cc9ca aviatrix/sandbox-starter "/bin/sh -c 'python3…" 7 hours ago Up 7 hours 0.0.0.0:5000->5000/tcp amazing_tool shahzadali@shahzad-ali ~ % shahzadali@shahzad-ali /Users % docker exec -it amazing_tool bash bash-5.0#
Delete Docker Volume
shahzadali@shahzad-ali ~ % docker volume remove TF Error response from daemon: remove TF: volume is in use - [4a75b428ff5badf368f1dc9761c51b903652d8cfa4da70b2bdd543be3d352fea, 7f54de5c900d28d23ea61965423394534fe40dd769b20ff78f3a31c1fa98987d] shahzadali@shahzad-ali ~ % I had to run the following command to delete shahzadali@shahzad-ali ~ % docker volume remove TF Error response from daemon: remove TF: volume is in use - [7f54de5c900d28d23ea61965423394534fe40dd769b20ff78f3a31c1fa98987d, 4a75b428ff5badf368f1dc9761c51b903652d8cfa4da70b2bdd543be3d352fea] shahzadali@shahzad-ali ~ % docker system prune WARNING! This will remove: - all stopped containers - all networks not used by at least one container - all dangling images - all dangling build cache Are you sure you want to continue? [y/N] y Deleted Containers: 7f54de5c900d28d23ea61965423394534fe40dd769b20ff78f3a31c1fa98987d 4a75b428ff5badf368f1dc9761c51b903652d8cfa4da70b2bdd543be3d352fea c6de98c3284e8afdf5cff8f9b45266acf1e4bebf34a2ce0f7a20aa92342a43e5 6227ecf90cf4100b1a1391038171e8ae5dd0cff4f3a7007e4f675360396913da
Important Docker CLI Commands
1. Find the container ID
$ docker ps
2. Stop and delete the container
$ docker stop <id> $ docker rm <id>
3. Remove the volume
$ docker volume rm TF
4. Create the volume and start a fresh container
$ docker volume create TF $ docker run -v TF:/root -p 5000:5000 -d aviatrix/sandbox-starter