Node service reliability
Data accuracy can reach 100%
Consistent real-time status at all times
One-line infrastructure API
Save more than 1,000 engineering hours per year.
The traditional Web 2.0 approach to scaling infrastructure is to use servers managed by load balancers, but with blockchain, applications cannot differentiate between nodes because each node synchronizes and stores data from the blockchain asynchronously.
Blockchain applications cannot treat nodes differently because each node asynchronously synchronizes and stores data from the blockchain.
Data inconsistency may occur during node operation, which is mainly caused by the operation of the load balancer.
Because the latest block may be different on each node. Data inconsistencies require the application of a number of complex solutions, disrupting applications and user experience in the process.
When an application runs directly on a node, there will be unpredictable delays and downtime because the node is generic and not specifically designed for a certain program.
Until new approaches to infrastructure design come out, developers can only choose between state consistency and scale.
As a new type of infrastructure, the main purpose of Unifra supernodes is decentralization. It has the following advantages:
- Ensure data is always correct, real-time, and in sync with the help of a proprietary coordination service.
- The functionality of each node is supported by a dedicated distribution system; Facebook and Amazon share a system to achieve large-scale Installation and extension are extremely fast, giving you ample time to ship products and pick up users.
- This node includes enhanced API methods and upgraded WebSockets to continuously listen for changes and automatically handle reconnects and backfill missed events.
- A single-wire infrastructure API can do all the work of a single node while having the uptime, availability, and necessity to run production applications.
The functionality of Unifra Supernode's innovative Web3 architecture is professionally distributed across each node of the system extension and maintained in real-time for data correctness through a dedicated coordinator service.