casper-ecosystem / developer-rewards

A place where developers can get rewarded for their contribution to the Casper Ecosystem and Docs
Apache License 2.0
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Enhancement Request: Implement Time-based Data Indexing for Improved Node Monitoring for Validators #17

Closed NicolasZoellner closed 1 year ago

NicolasZoellner commented 1 year ago

Reward Size in USD

500 USD

Reward category

Documentation

Description

Today, there are no tools available to assist validators in visualizing and analyzing the statistics of their nodes over time. The purpose of this DevReward is to develop a comprehensive dataset that enables validators to access various time series data, such as the daily cumulative staked amount, by utilizing raw data including the number of stakers, total CSPR staked, rewards, delegation, and undelegation.

Granularity: The data should be captured at the end of each block or era, providing a detailed and accurate representation of the node's performance.

Acceptance Criteria

KillianH commented 1 year ago

Can you point to the correct repo that needs to be updated ?

NicolasZoellner commented 1 year ago

Good morning Killian, Let me check this with the technical expert. Unfortunately he is off today. Will follow up early next week.

Best Nicolas

On Fri, Jun 23, 2023 at 12:57 AM Killian Hascoët @.***> wrote:

Can you point to the correct repo that needs to be updated ?

— Reply to this email directly, view it on GitHub https://github.com/casper-ecosystem/developer-rewards/issues/17#issuecomment-1603412235, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7RT6VVAWPETSUL6TZXP6J3XMTEW7ANCNFSM6AAAAAAY4OGEK4 . You are receiving this because you authored the thread.Message ID: @.***>

NicolasZoellner commented 1 year ago

@KillianH,

There isn't a specific repository available for this. However, if you decide to make it open source, you can implement it on https://div3.in/.

Best regards, Nicolas

NicolasZoellner commented 1 year ago

The result was delivered and implemented and can be seen at: https://scansper.com/ Thank you very much for your work!