Sold by: appmodz corporationÂ
Deployed on AWS
A powerful suite of tools to assist in application assessment to gain visibility, prioritize, develop a roadmap and a migration plan.
Overview
A powerful suite of tools to assist in application assessment to gain visibility, prioritize, develop a roadmap and a migration plan.
a) Assessment Portal - A web application to manage the end-to-end application assessment process including data gathering and real time insights
b) Assessment Engine - A decision engine for data driven, objective assessment that uses Uses "Multi Criteria Decision Analysis" (MCDA) and "Analytic Hierarchy Process" (AHP) methodology thus reducing bias and risks
Highlights
- A web application to manage the end-to-end application assessment process including data gathering and real time insights
- A decision engine for data driven, objective assessment that uses Uses "Multi Criteria Decision Analysis" (MCDA) and "Analytic Hierarchy Process" (AHP) methodology thus reducing bias and risks
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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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.
Pricing
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.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $8.00 |
t3a.xlarge | $4.50 |
t3a.large | $4.00 |
t3.large | $4.50 |
m4.xlarge | $6.50 |
t3.xlarge | $5.00 |
m4.large | $7.00 |
m5.xlarge | $8.50 |
Vendor refund policy
Typically no refunds for the usage but please contact us for options and 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)Â .
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.
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
This version includes major enhancements including gold repository, project specific administration portal, sync capabilities from gold to project, and updated graphs. In addition this version uses container images and a new script to run the containers instead of docker-compose.
Additional details
Usage instructions
Step 1 - Pre-requisites:
a) Finalize DNS domain name, URLs to be used, Appropriate DNS records, SAN SSL Certificate b) Optional Load balancer, SSL Bridging c) Choose the Domain names for each of the URLs of gold, admin and client. Examples are below: #https://gold.yourdomainname.net #https://admin.yourdomainname.net #https://client.yourdomainname.netÂ
Step 2 - Update environment variables
Instance OS is Ubuntu 20 The default user name is ubuntu Connect to the instance using ssh (port/protocol 22/tcp)
Initiate a conenction to the instance (using ssh) (Example using putty) you will need to use the appropriate ssh key that was used when launching the instance Enter user name as ubuntu When you are logged in, the dfault folder will be /home/ubuntu Navigate to the folder /home/ubuntu/ssp-ae You may have to be a su (super user) for certain activities including checking docker contaienrs etc if required
Review and update all environment variables that are stored in the ".env" file. the file name may vary based on the version. Open the env file using a file editory such as ed or vi
Update the variables that include URL's, DB name and Passwords
Save the file
Step 3 - Run the initialization script to launch docker images
The script (.sh file) can be found under the ssp-ae folder. The file name may vary based on the version. The script uses all the environment variables defined in the .env file and uses "docker run" command. There are no changes required to the script.
Once all the components are setup appropriately, the application can be accessed using the corresponding URLs for gold, admin, and client.
Please contact us at info@appmodz.net for further help.
Resources
Vendor resources
Support
Vendor 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.
Updated weekly
By appmodz corporation
By CoreStack
By CloudSphere
Sentiment is AI generated from actual customer reviews on AWS and G2
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Assessment Methodology
Utilizes Multi Criteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP) for objective application evaluation
Web-Based Management Portal
Comprehensive web application for managing end-to-end application assessment process with real-time data gathering capabilities
Decision Engine
Advanced algorithmic engine for data-driven assessment and prioritization of applications
Data Insights Generation
Provides real-time insights and analytics during application assessment workflow
Process Workflow Automation
Supports complete assessment lifecycle from data collection to roadmap development and migration planning
Multi-Cloud Framework Support
Supports built-in and custom assessment frameworks across AWS, Azure, and GCP with multi-tier workload evaluation capabilities
Automated Issue Detection
Provides automated identification of cloud infrastructure issues with step-by-step remediation recommendations
Assessment Workflow Management
Offers collaboration features including ownership assignment, evidence tracking, and progress monitoring across cloud environments
Scalability Architecture
Enables multi-level hierarchical assessment with identity isolation for comprehensive cloud infrastructure evaluation
Cloud Best Practice Validation
Conducts comprehensive assessments against predefined and custom cloud best practice frameworks with unified dashboard reporting
Asset Discovery
Agentless deep application and cloud inventory discovery with comprehensive service mapping capabilities
Performance Metrics
Advanced performance tracking including CloudWatch metrics, database metrics, and detailed performance analysis
Cloud Optimization Framework
CloudSphere Optimization & Modernization Framework (COMF) for comprehensive infrastructure assessment and recommendations
Service Mapping
Automated mapping of servers using existing patterns with at least 50% coverage and validation mechanisms
Infrastructure Analysis
Detailed infrastructure assessment including instance rightsizing, reclamation, license reduction, and end-of-life reporting for operating systems and applications
Standard contract
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