Overview
Map of a 150k lines of code application
CAST Imaging generates interactive maps of an application's inner workings by performing semantic analysis of its project files: source code, database scripts, and external/shared libraries. It supports over 150 programming languages, frameworks, and database engines.
CAST Imaging enables software architects and engineers to explore an application's architecture, zoom in on any code element, data structure, or dependency within or between applications.
Users create their own application's view to assess change impact or can explore predefined views such as application's data model, database access, or end-to-end call graphs.
They can leverage recommendations from CAST Imaging's built-in advisors to modernize mainframe applications for AWS, Azure, or Google Cloud, or to migrate legacy database to PostgreSQL, MySQL, Amazon RDS, Azure SQL, GCP Cloud SQL, or Oracle Cloud.
Highlights
- Automatically generates interactive maps of an application's inner workings by performing semantic analysis of its project files. Supports over 150 programming languages, frameworks, and database engines.
- Enables software architects and engineers to explore an application's architecture, zoom in on any code element, data structure, or dependency within or between applications.
- Enables software architects and engineers to assess change impact, visualize application's data model and database access, or explore end-to-end call graphs.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
---|---|---|
CASTImaging_S | CAST Imaging license for 1 application under 250,000 LOC | $9,000.00 |
CASTImaging_M | CAST Imaging license for 1 application under 500,000 LOC | $18,000.00 |
CASTImaging_L | CAST Imaging license for 1 application under 1,000,000 LOC | $32,000.00 |
CASTImaging_XL | CAST Imaging license for 1 application under 2,000,000 LOC | $56,000.00 |
CASTImaging_XXL | CAST Imaging license for 1 application under 4,000,000 LOC | $96,000.00 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Custom pricing options
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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
Additional details
Usage instructions
Contact CAST to find out how to access CAST Imaging. https://doc.castsoftware.com/display/IMAGING/Installation+and+deployment+process+for+CAST+Imaging
Resources
Vendor resources
Support
Vendor support
https://help.castsoftware.com/ After purchasing, please visit https://registration.castsoftware.com/AwsRegister/Imaging to activate your CAST Imaging license.
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.
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Customer reviews
CAST Imaging - Reverse Engineering and Impact Analysis
Breakdown of Architecture and impact analysis is the key feature. Any Member Partner can easily adopt to the deveolopment without prior knowledge. Tool is really user friendly to adopt and use.
1. Impact Analysis
2. Reverse Engineering
3. New Staff Ramp up
4. Architectural Breakdown object wise
5. Custom Aggregation
6. Dependency Call Graph
Comprehensive Software Visualization for Optimized Architecture Management
Deep Data Flow of an Application
CAST Imaging experience
Cast Imaging is a good tool for analysing a portfolio of applications
2) The Cloud readiness analysis of an application portfolio is particularly helpful.
My focus was Mainframe application analysis, so would have been good to have some examples with that Technology.