Case Study - DoToDo -- A Web 3.0 Business Platform
Dotodo is a distributed, large-scale, low latency platform that seeks to connect people wanting to do similar things.
Atlogys CTO's helped shape the product by providing the inputs.
- Product Definition - Outline and Detail out the entire User Experience from Complete App Specs, to all frontend and backend features.
- Vendor Procurement & Quotation Optimization
- Software Designing & Optimizations --> Software Designing & Architecture Suggestions/Enhancements
- Project Management
- Engineering Eye for Detail (EED) -> Performance optimizations, Security Audits, EC2 Deployment setup, Scalability guidelines, API integration and Analysis
Sematic Search Engine – Web 3.0 – Designed from scratch by Atlogys
Allows us to automatically detect todo’s written by different users that may have the same intention. E.g. We should match the following:
- I am hungry
- Is there a McDonalds around?
FB and Twitter Integration:
Activities on the site are posted to fb and tw using their social API’s The challenging part is that we back-fetch activities on fb and tw related to our events and show them on the dotodo site also. Challenges involve rate limiting, throttling, data normalization and bandwidth management.
Social Tag Cloud
This is related to the semantic search. Tags are social intentions of people. The goal is to detect and show the most relevant set of tags given a particular set of todos.
Almost 70% of the site is in Ajax. Results are fetched using background processes that are outside the realm of the traditional request/response paradigm. This makes the UI more intuitive and engaging.
Rest based API
The platform is built in the MVC (Model View Controller) framework. The backend exposes a RESTAPI which makes it easy to integrate it with external systems. Whether it means creating a mobile app or an iPad one, the same can be done without any re-haul of the system.
Does not use traditional relational database management database systems. Instead is built on top of document oriented Db systems that are far away from tables and have Key Value pairs for storing data.
The system is deployed and running on EC2.
REST based API's, Oauth
CLOUD: AWS EC2
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