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As a system administrator, I want to deploy a large number of virtual machines across different node groups with specific hardware and network configurations
Acceptance Criteria
Node Group Creation:
The system should allow the creation of node groups with specified attributes such as number of nodes, minimum cores, memory, SSD and HDD storage, IP availability (both IPv4 and IPv6), and region.
Each node group should be able to specify if the machines are dedicated, certified, minimum nodes in the farm, and minimum nodes applying the same rules.
The system should be able to handle a specified bandwidth for each node group.
Virtual Machine Deployment:
VMs should be deployable within the created node groups.
Each VM specification should include the number of VMs, associated node group, CPU cores, memory, SSD capacity and mounting, HDD attachment, public IP (IPv4 and IPv6), file list, root size, and associated SSH key. There should be flexibility in VM deployment, such as specifying the number of VMs
SSH Key Management:
SSH keys should be manageable, allowing the specification of a key name and public key.
Output Specification:
Upon successful deployment, the system should output a YAML file with details of the deployed node groups and VMs, including their names and public IP addresses.
In case of errors, the output file should include the details of the affected node group or VM and the corresponding error message.
Parallel Processing:
The deployment process should be optimized for parallel execution to ensure efficient and quick deployment across multiple node groups and VMs using Batch calls.
Error Handling:
The system should robustly handle errors, providing meaningful error messages in the output file for any issues encountered during the deployment process.
Example Scenario
A user inputs the YAML or JSON configuration for deploying several VMs across different regions with specific hardware and network requirements. The system processes this configuration, setting up the node groups and VMs as specified. Once the deployment is complete, the system outputs a YAML file containing details of each deployed VM and node group, including their public IP addresses. In case of any errors, the system provides detailed error messages to facilitate troubleshooting. The entire process runs efficiently in parallel to minimize deployment time.
example spec for mass deployment
- nodegroup:
- name: 'group_a'#amount of nodes to be foundnrnodes: 5#cores = logical corenrcores_min: 10#gb of memorymem_min: 32ssd_min: 2000hdd_min: 30000# full machine capacity available, can it be made dedicateddedicated: truepubip4: truepubip6: true# comma separate list of region's# list see: https://apps.who.int/gho/data/node.searo-metadata.UNREGION?lang=enregion: "UN_Africa,UN_Eastern_Asia"certified: true#min nr of nodes in farmmin_nodes_farm: 5#nr of nodes in same farm which apply the rules abovemin_nodes_apply_rules: 3#bandwidth which can be achieved, do we know this?min_bw: 100
- sshkey:
- name: 'despiegk'pubkey: ''
- vms:
- name: 'mymachine_${nr}'nrvm: 4nodegroup: 'group_a'#logical cores of machinenrcpu: 10#mb of memorymem: 2000#ssd capacity in GBssd:
- capacity: 200mount: '/mydata'# means all HD's are given raw to VMhdd_attached: truepubip4: truepubip6: trueflist: ...rootsize: 200sshkey: 'despiegk'
- name: 'mydb'nodegroup: 'group_a'# all capacity means we create vm having access to all SSD's, to all mem, to all cores, to all HDD's, SSD all means we create dirs with no limits, each on each SSD and give as /data/1... for each ssdall_capacity:truepubip4: truepubip6: trueflist: ...sshkey: 'despiegk'rootsize: 100
can be given in yaml or json
the result is yaml or json and gives the following info
As a system administrator, I want to deploy a large number of virtual machines across different node groups with specific hardware and network configurations
Acceptance Criteria
Node Group Creation:
The system should allow the creation of node groups with specified attributes such as number of nodes, minimum cores, memory, SSD and HDD storage, IP availability (both IPv4 and IPv6), and region.
Each node group should be able to specify if the machines are dedicated, certified, minimum nodes in the farm, and minimum nodes applying the same rules.
The system should be able to handle a specified bandwidth for each node group.
Virtual Machine Deployment:
VMs should be deployable within the created node groups.
Each VM specification should include the number of VMs, associated node group, CPU cores, memory, SSD capacity and mounting, HDD attachment, public IP (IPv4 and IPv6), file list, root size, and associated SSH key. There should be flexibility in VM deployment, such as specifying the number of VMs
SSH Key Management:
SSH keys should be manageable, allowing the specification of a key name and public key.
Output Specification:
Upon successful deployment, the system should output a YAML file with details of the deployed node groups and VMs, including their names and public IP addresses.
In case of errors, the output file should include the details of the affected node group or VM and the corresponding error message.
Parallel Processing:
The deployment process should be optimized for parallel execution to ensure efficient and quick deployment across multiple node groups and VMs using Batch calls.
Error Handling:
The system should robustly handle errors, providing meaningful error messages in the output file for any issues encountered during the deployment process.
Example Scenario
A user inputs the YAML or JSON configuration for deploying several VMs across different regions with specific hardware and network requirements. The system processes this configuration, setting up the node groups and VMs as specified. Once the deployment is complete, the system outputs a YAML file containing details of each deployed VM and node group, including their public IP addresses. In case of any errors, the system provides detailed error messages to facilitate troubleshooting. The entire process runs efficiently in parallel to minimize deployment time.
example spec for mass deployment
can be given in yaml or json
the result is yaml or json and gives the following info
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