Optimization of Goerli Testnet gas costs: a guide for developers
As a developer working with intelligent contracts on the Goerli Testnet, you are probably not unrelated to the frustrations of high gas costs. The merger of Ethereum MAINNET to EVM has caused significant changes in gas prices, which makes it more difficult to create and deploy intelligent contracts.
In this article, we will explore strategies to optimize your development workflow while undergoing Goerli test gas costs in Haut Goerli after merger. By implementing these techniques, you can reduce your gas costs and focus on creating innovative blockchain solutions.
Why high gas fees are a problem
The high gas costs on Goerli’s test are mainly caused by:
- Activity of the increased network : With the merger, more users have joined the network, leading to a higher demand for computer resources.
- New types of intelligent contracts : The introduction of new intelligent contracts and the growth of decentralized applications (DAPP) increased the use of gas.
- 2 layer solutions: The adoption of layer 2 scaling solutions has further exacerbated gas costs.
Optimization of your development workflow
To overcome high gas costs, follow these optimization techniques:
1.
Code optimization
* Use the keyword `Gas '' from Solidey : Specify the gas limit for your contract calls to reduce the useless use of gas.
* Minimize the overall costs of the function call : Reduce the number of function calls by reusing the variables and the data structures.
* Avoid excessive transactions : Limit the number of transactions sent by a single contract to minimize gas costs.
2.
Use EVM optimized libraries
* Specific libraries in Rinkeby
: Use optimized libraries for Rinkeby, such as "Ethers.js" or "Web3.js", which offer better performance and lower gas costs.
* Alternatives on the Mainnet Ethereum library: Explore libraries likeKovan.js`ropsten.js, which are designed for Ethereum MAINNET and can offer better performance at a lower cost.
3.
Use interoperability solutions
* ROPSTEN TESTNET : Use the ROPSTEN TESTNET, which offers gas costs lower than Goerli.
* Inter-TETNET Transactions : implement interoperability solutions such asEthers.jsto allow transactions between the various tests to reduce gas costs.
4.
Network scale
* Use a fixed fixed node EVM : Install and use an EVM compatible node, such as Parity or Infura, which offer a better scaling of the network than Goerli.
* Consider using a cloud -based solution : Use cloud -based solutions like AWS Lambda or Google Cloud Functions to scale your application and reduce gas costs.
5.
Gas reduction techniques
* UseCalle instead of évmcal: The Evmcalmethod is more expensive than the function calle`.
* Make the cache mechanisms : Use cache libraries or data structures to reduce the number of function calls and minimize gas costs.
Conclusion
Developers working with intelligent contracts on Goerli Testnet can considerably reduce their gas costs by implementing these optimization techniques. By following these strategies, you will be able to create innovative blockchain solutions while minimizing your expenses.
Remember that optimizing high gas fees is a continuous process, and new technologies are emerging to help mitigate this problem. Stay up to date with the latest developments in the field and adapt your approach if necessary to take advantage of the best solutions available.
Additional resources
- [Calculator of gas prices in the Ethereum ecosystem] (
- [Information on Goerli Testnet gas prices] (
By following these tips and remaining informed of the latest developments in the Ethereum ecosystem, you will be well equipped to manage high gas costs on the Goerli Testnet.
