2. Value Proposition

2.1 Explore & Discover

Comprehensive software marketplace allowing users to explore technology artifacts from multi-vendors across different business areas to discover the most suitable software solution to fulfil a business requirement. User friendly interface to navigate across the marketplace that would help identify the most relevant product based on product vendor or segment.

2.2 Private Catalog (Private Product Repository)

Onboard users own Kubernetes based containerized products to a private product repository which is accessible only to the user so that solutions can be designed and orchestrated to cater user specific business requirements along with integrations with other products.

2.3 Solution Design

Mix & Match concept allowing the users to pick artifacts from vendors to design the required solution as well as Onboarding their own containerized products and maintaining it in their private catalog that would allow to design solutions to cater business needs.

2.4 Easy to use Drag & Drop Canvas

A canvas that would allow users to design an end to end technological solution architecture on a GUI canvas after hand picking the technology artifacts. Update the canvas whenever required before publishing & deploying so that necessary changes can be made to the required solution.

2.5 One-click Deployment

Upon publishing the solution architecture on the canvas, the user will be able to deploy the solution within a Kubernetes cluster on a preferred environment with a single button click. Ahasa supports AWS & GCP currently but will be improved to cater on-premise infrastructure set ups as-well.

2.6 Continuous Updates

Deployed solutions are kept up to date with the artifact vendors deploying the latest available version of artifacts to the catalog. Automated release management will be provided to ensure smooth and continuous updates of technological artifacts.

2.7 Monitoring

Users can monitor the status of deployed clusters that will allow them to get an idea of the infrastructure usage and capacity related information of the clusters which will be helpful in terms of decision making and other operational matters.