Metamask: How to develop while experiencing very high Goerli testnet gas fees after merge?

Optimizing Goerli Testnet Gas Fees: A Developer’s Guide

As a developer working with smart contracts on the Goerli testnet, you’re probably no stranger to the frustrations of high gas fees. The Ethereum Mainnet to EVM merger brought about significant changes in gas prices, making it more difficult to create and deploy smart contracts.

In this article, we’ll explore strategies to optimize your development workflow while experiencing high gas fees on the Goerli testnet post-merge. By implementing these techniques, you can reduce your gas costs and focus on building innovative blockchain solutions.

Why High Gas Fees Are a Problem

High gas fees on the Goerli testnet are primarily caused by:

• Increased network activity: With the merger, more users joined the network, which led to increased demand for computing resources.

• New types of smart contracts: The introduction of new smart contracts and the growth of decentralized applications (dApps) have increased gas consumption.

• Layer-2 solutions: The adoption of layer-2 scaling solutions has further exacerbated gas fees.

Optimizing your development workflow

To overcome high gas fees, follow these optimization techniques:

1.
Code optimization

• Use Solidity’s gas keyword: Specify the gas limit for your contract calls to reduce unnecessary gas usage.

• Minimize function call overhead: Reduce the number of function calls by reusing variables and data structures.

• Avoid excessive transactions: Limit the number of transactions sent by a single contract to minimize gas fees.

2.
Use EVM-optimized libraries

• Rinkeby-specific libraries: Use Rinkeby-optimized libraries, such as ethers.js or web3.js, which offer better performance and lower gas fees.

• Ethereum Mainnet library alternatives: Explore libraries like kovan.js or ropsten.js, which are designed for Ethereum Mainnet and can offer better performance at lower costs.

3.
Use interoperability solutions

• Ropsten Testnet: Use the Ropsten testnet, which offers lower gas fees than Goerli.

• Cross-testnet transactions: Implement interoperability solutions like ethers.js to enable transactions between different testnets, thereby reducing gas fees.

4.
Network Scaling

• Use a reputable EVM-compatible node: Install and use an EVM-compatible node, such as Parity or Infura, which offer better network scaling than Goerli.

• Consider using a cloud-based solution: Use cloud-based solutions like AWS Lambda or Google Cloud Functions to scale your application performance and reduce gas costs.

5.
Gas Reduction Techniques

• Use call instead of evmCall

  : The evmCall method is more expensive than the call function.

• Implement caching mechanisms: Use caching libraries or data structures to reduce the number of function calls and minimize gas costs.

Conclusion

Developers working with smart contracts on the Goerli testnet can significantly 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 for high gas fees is an ongoing 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 as needed to take advantage of the best solutions available.

Additional Resources

• [Ethereum Ecosystem Gas Price Calculator](

• [Goerli Testnet Gas Price Information](

By following these tips and staying up-to-date with the latest developments in the Ethereum ecosystem, you will be well-equipped to handle high gas fees on the Goerli Testnet.