When starting an Ethereum project, it’s easy to believe smart contracts will be the hardest part to scale.

That wasn’t my experience.

While working on Ethereum backends—bots, indexers, and supporting services—the contracts themselves were stable. The real issues appeared once traffic increased: RPC rate limits, latency spikes, and unreliable node connections became the primary bottleneck.

Running a full node initially seemed like the ideal solution. In practice, it introduced a different set of challenges: long sync times, ongoing maintenance, and operational complexity that quietly consumed more time than expected.

What stood out is how early infrastructure problems showed up—long before contract logic or system architecture became complex.

Access to blocks, transactions, logs, events, and contract calls needs to be fast and consistent. Without that, even well-designed systems struggle to operate reliably.

This shift in perspective pushed me to focus less on contract-level optimization and more on Ethereum infrastructure decisions. That work eventually led me to build Ktzchen Web3, a project focused on simplifying Ethereum RPC access so developers can concentrate on building products rather than managing nodes.

If you’re interested in Ethereum backend infrastructure and the trade-offs around RPC reliability at scale, you can find more context here:
👉 https://ktzchenweb3.io

I’m curious how other teams approach infrastructure choices early—before scaling issues become painful.

When starting an Ethereum project, it’s easy to believe smart contracts will be the hardest part to scale.

That wasn’t my experience.

While working on Ethereum backends—bots, indexers, and supporting services—the contracts themselves were stable. The real issues appeared once traffic increased: RPC rate limits, latency spikes, and unreliable node connections became the primary bottleneck.

Running a full node initially seemed like the ideal solution. In practice, it introduced a different set of challenges: long sync times, ongoing maintenance, and operational complexity that quietly consumed more time than expected.

What stood out is how early infrastructure problems showed up—long before contract logic or system architecture became complex.

Access to blocks, transactions, logs, events, and contract calls needs to be fast and consistent. Without that, even well-designed systems struggle to operate reliably.

This shift in perspective pushed me to focus less on contract-level optimization and more on Ethereum infrastructure decisions. That work eventually led me to build Ktzchen Web3, a project focused on simplifying Ethereum RPC access so developers can concentrate on building products rather than managing nodes.

If you’re interested in Ethereum backend infrastructure and the trade-offs around RPC reliability at scale, you can find more context here:
👉 https://ktzchenweb3.io

I’m curious how other teams approach infrastructure choices early—before scaling issues become painful.