Method

In this dashboard I used *solana.core.fact_transactions *to calculate the count of Failed and Succeeded transactions and paid fees by top 10 wallet address and program.

Analysis

• The following graphic presents the data on a daily basis: This month as well as the previous month the number of transactions that were examined per second

Conclusion

Within this dashboard, we conducted an analysis of the Network Performance Dashboard, and in accordance with this, Participation from one-of-a-kind wallets is higher than it was the previous month. However, in comparison to the previous months, there has been a rise in the total number of transactions this month. After doing some examination, it appears that the situation with the transaction per second (TPS) was better over the preceding month than it had been during the months before. The first address that had the highest fees in failed transactions was CuieVDEDtLo7FypA9SbLM9saXFdb1dsshEkyErMqkRQq, and the second address that had the highest fees in failed transactions was 5AmZM5qY2LZtBMVSTVzyZmUGFCgiMTD9xaRuLF8XF1hK. Additionally, in the analysis of the programs that had the highest fees, first program was mango markets , and in second place was jupiter and It seems that the growth of the success rate was due to the improvement of the system by the engineers.

Discord:0xHaM☰d#8391

Q95. Create a dashboard displaying Solana network performance over time.

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• How has the network performed over the past month compared to the rest of the year?
• Has transaction per second and success rates of transactions gone up recently?
• Is this because of less botting or fewer users, or new improvements from the Solana engineers?
• What wallets and programs have paid the most in fees for failed transactions?

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• The following graphic presents the data on a daily basis: Number of one-of-a-kind wallets examined during this month as well as the previous month

• The following graphic presents the data on a daily basis: This month as well as the previous month the number of transactions that were checked

The following graphic presents the data on a daily basis: This month as well as the previous month Checked number of successful and unsuccessful transactions

• In the chart that follows, the current month is shown below. It has been determined, using a percentage, which wallets have the highest number of fees paid for transactions that were not successful.

• In the chart that follows, the current month is shown below. The program with the greatest fees that were paid in unsuccessful transactions was checked every day.