Listing Thumbnail

    QMCLOUD (Enterprise Edition)

     Info
    Free Trial
    No Code platform for composing and deploying cloud infrastructure
    Listing Thumbnail

    QMCLOUD (Enterprise Edition)

     Info

    Overview

    QMCLOUD is a No Code platform for composing and deploying cloud infrastructure. QMCLOUD supports common infrastructure resources including Virtual Network, Virtual Machines (VM) and modern resources such as Containers and Serverless. The AWS marketplace product supports AWS platform.

    Highlights

    • Compose and deploy cloud infrastructure using a canvas, with a deployment wizard or predefined templates
    • Visualize, edit and track changes of the deployed cloud infrastructure

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04.4 LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m5.xlarge) in the US East (N. Virginia) Region. View pricing details

    $4.942/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product at no cost for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    QMCLOUD (Enterprise Edition)

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (6)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.medium
    $2.25
    $0.042
    $2.292
    t3.large
    $2.75
    $0.083
    $2.833
    m5.large
    $4.50
    $0.096
    $4.596
    m5.xlarge
    Recommended
    $4.75
    $0.192
    $4.942
    c5.large
    $4.00
    $0.085
    $4.085
    c5.xlarge
    $4.25
    $0.17
    $4.42

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Typically, no refunds for the usage but please contact us for details.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    In addition, the following updates are included in this specific version:

    Updates (Updated on 05/04/2023):

    1. Updated startup script to set auto password to the aws ec2 instance id to minimize user interaction. Use the "start_the_containers.sh" to start qmcloud containers instead of any other available script

    2. QMCLOUD instance now is pre-loaded with all AWS, Azure, K8 and vSphere available components and the user doesn't need to add the components manually. Please note that the canvas UI load times may be affected and will depend on the chosen instance size.

    3. Fixed minor bugs for script and .env file remnants

    4. Software name has been updated from QCloud to QMCLOUD

    Additional details

    Usage instructions

    " 1 - Pre-requisites a) Choose an appropriate DNS Domain Name and URL to host the QMCLOUD platform in your environment. b) Choose an appropriate name and password for the Postgres database service in QMCLOUD c) Optional - Setup, Configure AWS application load balancer Internet facing, target groups, ssl certificate or use another proxy and routing solution as per your requirements c) Create and setup appropriate DNS A/CNAME records d) Pulumi - You will need a free Pulumi account and a token at a minimum. Refer to the documentation for further details at https://docs.qmcloud.io 

    2 - Launch AMI and update environment variables

    a) Launch the marketplace AMI into a desired VPC and subnet (preferably private) b) ssh into the instance using the user ubuntu and the ssh key that was used to launch the ec2 instance c) Run the following commands/script:

    cd /home/ubuntu/qcloud sudo bash start_the_containers.sh

    The script does the following:

    a) Sets the Postgres password to the ec2 instance id b) All the other inputs (mainly ports and names) are considered as default as listed in the script c) Creates .env files for each of the containers required for the application. Note that the .env files will have the passwords in clear text. It is recommended to delete these files once the application is configured d) Starts all the required containers using docker run command

    1. Check the status of all the containers by using this command: sudo docker ps -a

    2. AWS ALB Setup (only if AWS ALB is being used for routing)

    a) Create and configure two target groups / one for front end and one for backend b) Register the instance in both the target groups c) The frontend is configured to listen for port tcp/3005 d) The backend is configured to listen for port tcp/3006 e) Create the AWS application load balancer f) Create listeners for 80 and 443 each. Configure default forwarding for 80 and 443 to the front-end target group g) Configure additional rule for forwarding to backend using path-based routing for the path /api/* h) Configure DNS name for the FQDN used and point it to the CNAME of the load balancer Note: If a user plans to use a solution other than AWS ALB, appropriate routing will need to be configured.

    Note: If a user plans to use a solution other than AWS ALB, appropriate routing will need to be configured. Please contact support for help if required.

    1. Access the app

    a) Navigate to the fqdn or URL for the instance or the load balancer as appropriate b) You will be prompted for the first user registration. The software will prompt for user details for the first admin user c) An email is sent to the email address with the link to set the password. Set the password using the link received in the email. Note that if you use a private IP address or a URL that is not accessible from the Internet, you will need to access the URL using a jump server or a server in the VPC where the instance is launched

    1. You can now login using the email address and the password

    Please refer to the documentation at docs.qmcloud.io. Contact us at support@appmodz.net  for further help. -------"

    Resources

    Vendor resources

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to write a review for this product.