Skip to main content

UI to create virtual machines and install HPE Ezmeral products.

Project description

Ezlab UI

UI to create virtual machines and install HPE Ezmeral products.

Usage

It supports install operations for Virtual Machines on Proxmox VE. Libvirt/KVM and VMware might come too.

Prepare Templates

Download base cloud images for template creation.

Tested images can be found at: Rocky8: https://download.rockylinux.org/pub/rocky/8/images/x86_64/Rocky-8-GenericCloud.latest.x86_64.qcow2

RHEL8 (login required): https://access.cdn.redhat.com/content/origin/files/sha256/5f/5f9cd94d9a9a44ac448b434f3e28d24465deef089bbd452392b3f10e96cb8eaa/rhel-8.8-x86_64-kvm.qcow2

Vmware

THIS IS NOT WORKING YET/AGAIN!!!

Install required package

virt-customize -a Rocky-8-GenericCloud.latest.x86_64.qcow2 --install open-vm-tools Convert qcow2 image

qemu-img convert -f qcow2 -O vmdk -o subformat=streamOptimized Rocky-8-GenericCloud.latest.x86_64.qcow2 Rocky-8-GenericCloud.latest.x86_64.img

Enable SSH for the ESX host vCenter - Host - Configure - Services - SSH -> Start

Copy image to a datastore (change your host name and datastore path) scp Rocky-8-GenericCloud.latest.x86_64.img root@<esx.host>:/vmfs/volumes/<datastore>

Login to the esx host (change your host name) ssh root@<esx.host>

Convert image to disk vmkfstools -i Rocky-8-GenericCloud.latest.x86_64.img rocky-template.vmdk -W file -d thin -N

Proxmox VE

Copy qcow2 base image file(s) into /var/lib/vz/template/qemu folder (create the qemu folder first)

Configure Utility

Use Settings menu to save environment details. Use placeholder text to see correct/expected format.

Leave empty if not used (ie, proxy, local repository...)

VMs Menu

Login to hypervisor (currently only ProxmoxVE)

New VM:

Select correct template, if bridge name doesn't pop up, close the dialog (ESC) and re-open.

Select the pre-defined configuration:

UA Control Plane    | 2 VMs | 4 cores | 32GB Memory
UA Workers          | 3 VMs | 32 cores | 128GB Memory
DF Single Node      | 1 VM | 16 cores | 64GB Memory
DF 5-Node Cluster   | 5 VMs | 16 cores | 32GB Memory
Generic (Client)    | 1 VM | 2 cores | 4GB Memory

Ezmeral Menu

Only Data Fabric for now.

Install Ezmeral Data Fabric

Version 7.6 with EEP 9.2.1 will be installed on as many hosts provided. Installer will be installed on the first node and system will automatically distribute services across other nodes. Single node installation is also possible.

Core components (fileserver, DB, Kafka/Streams, s3server, Drill, HBase, Hive) and monitoring tools (Grafana, OpenTSDB...) will be installed. Subject to change to optimize installation time & complexity.

Configure Step

Prepare for Data Fabric installation.

Add nodes to prepare multiple nodes.

Install Step

Create Data Fabric cluster on as many nodes as given.

Cross-Cluster Step

Will be working soon!

Connect Step

Will download secure files from the server and install/configure the client for the cluster.

NOTES

If API servers (ProxmoxVE and/or vSphere) are using self-signed certificates, insecure connection warnings will mess up your screen. You can avoid this using environment variable (this is not recommended due to security concerns):

export PYTHONWARNINGS="ignore:Unverified HTTPS request"

TODO

[ ] Proper documentation and code clean up

[ ] Test on standalone ESX host

[ ] Test airgap

Project details


Release history Release notifications | RSS feed

This version

0.6.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kayalab-0.6.1.tar.gz (75.5 kB view details)

Uploaded Source

Built Distribution

kayalab-0.6.1-py3-none-any.whl (84.2 kB view details)

Uploaded Python 3

File details

Details for the file kayalab-0.6.1.tar.gz.

File metadata

  • Download URL: kayalab-0.6.1.tar.gz
  • Upload date:
  • Size: 75.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.7 Darwin/23.3.0

File hashes

Hashes for kayalab-0.6.1.tar.gz
Algorithm Hash digest
SHA256 a40d9d724476ec42983e1888410c85f30486cd32aaf65f1e7dd7453e421d94d3
MD5 160cd0d0a9d14579af6b5165eeb09196
BLAKE2b-256 9165f8452c88455809bfbe58b2ca349acd083cddd1019425a19d656d10acd7ed

See more details on using hashes here.

File details

Details for the file kayalab-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: kayalab-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 84.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.7 Darwin/23.3.0

File hashes

Hashes for kayalab-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 087d262c6e767ebdafb70492543455565a24817a0c05650dd069f7199498f231
MD5 730b62477efd516e65e2b3f657091450
BLAKE2b-256 713d171be5de830b5994c046134227c5c92336c5a6da792b3741a71910375d72

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page