On Demand
MySQl
Germany
PoC development
Digixvalley developed a Web3 Content Delivery Network (CDN) dashboard designed for Filecoin users to monitor the performance of top file retrieval networks. The platform aggregates data from various sources, processing it to provide real-time performance metrics. These metrics are then presented on an intuitive and easy-to-understand dashboard, enabling users to efficiently track and evaluate network performance. This solution enhances the ability to make data-driven decisions and optimize file retrieval processes within the Web3 ecosystem.
The File Retrieval Dashboard enabled users to choose the fastest decentralized Content Delivery Networks (dCDNs) based on real-time performance. Automating the process with smart contracts in Lurk, the platform ensured efficient file extraction. Monitoring top dCDNs like nft.storage, web3.storage, Estuary, Meson, and IPFS Gateway, it optimized retrieval speeds, reducing data access times and improving user experience through quick, reliable file delivery.
It helps to switch between the top 5 dCDNs providing each dCDN’s network name, geo-location, ID, duration, average speed, best speed and worst speed.
It provides real-time tracking of the top 5 decentralized content delivery networks through a graph based on specific speed in a given duration.
It reflects the real-time performance of dCDN using heat bars based on the various geo-locations and the speed it has in those locations
Monitoring and analyzing the performance of top dCDNs like nft.storage, web3.storage, Estuary, Meson, and IPFS Gateway, the platform significantly reduced latency. This enabled faster file delivery, enhancing user satisfaction.
The integration of smart contracts in Lurk automated the file retrieval process, ensuring minimal manual intervention. This automation improved system reliability, reduced operational overhead, and streamlined data access.
The dashboard provided real-time data visualization, allowing users to make informed decisions about their network usage. These insights helped optimize file extraction processes and improve overall network efficiency.