#dusk $DUSK @Dusk
When I learned about Dusk, the thing that made me think about this project was - the use of DuskEVM.
Hmm to be honest.... The most interesting thing for me in this testing of DuskEVM is not just the transaction count, but how the sytems do not interfere with each other even when different types of workloads are running together. The matter is quite surprising! Isn't it? Simply put, thousands of people are working in an office in the same building all day long, and a separate service is also continuing its work in the next part. The two work differently, but the other does not stop when one is busy. The relationship between DuskEVM and DuskDS is also somewhat like this. But yes, DuskEVM is basically an EVM-compatible execution environment, where the familiar smart contract logic and tooling of the Ethereum ecosystem can be used. On the other hand, DuskDS manages its own native workload. So the real test here is not just "how many transactions can be processed" but how different execution and state models behave under pressure together. It is a matter of thought, though. Hmm and here an important question comes to me. Does testing handle mixed workloads well and prove it for real production environments? Not entirely. Sustained load, long-term performance, resource contention, latency, and edge cases - these need to be seen through more extensive testing. I could be wrong. So I don't see this type of test result as final proof, but as a useful signal. How reliable the interoperability of DuskEVM and DuskDS will be in reality will ultimatly be understood in production workloads and long-term use.
Apart from whether the technology works or not, the important question is :
How stable can it work in real use?
However, only time will tell👍
$BTC $TUT leading the Binance Hot list but im waiting for @Dusk Coin DUSK🚀
When I learned about Dusk, the thing that made me think about this project was - the use of DuskEVM.
Hmm to be honest.... The most interesting thing for me in this testing of DuskEVM is not just the transaction count, but how the sytems do not interfere with each other even when different types of workloads are running together. The matter is quite surprising! Isn't it? Simply put, thousands of people are working in an office in the same building all day long, and a separate service is also continuing its work in the next part. The two work differently, but the other does not stop when one is busy. The relationship between DuskEVM and DuskDS is also somewhat like this. But yes, DuskEVM is basically an EVM-compatible execution environment, where the familiar smart contract logic and tooling of the Ethereum ecosystem can be used. On the other hand, DuskDS manages its own native workload. So the real test here is not just "how many transactions can be processed" but how different execution and state models behave under pressure together. It is a matter of thought, though. Hmm and here an important question comes to me. Does testing handle mixed workloads well and prove it for real production environments? Not entirely. Sustained load, long-term performance, resource contention, latency, and edge cases - these need to be seen through more extensive testing. I could be wrong. So I don't see this type of test result as final proof, but as a useful signal. How reliable the interoperability of DuskEVM and DuskDS will be in reality will ultimatly be understood in production workloads and long-term use.
Apart from whether the technology works or not, the important question is :
How stable can it work in real use?
However, only time will tell👍
$BTC $TUT leading the Binance Hot list but im waiting for @Dusk Coin DUSK🚀
