Ethereum's scaling problem
Ethereum prioritizes decentralized verification, but limited block space can make transactions expensive during high demand.
Layer 2 networks process activity away from the base chain while using Ethereum as a settlement and security reference.
During busy periods, transactions compete for scarce block space, raising fees and making small transfers less economical. Layer 2 systems aim to increase throughput while preserving a connection to Ethereum, though they introduce their own components and operational assumptions.
ZK-rollups
ZKsync groups transactions and generates a proof that the batch was processed according to the protocol rules.
Ethereum verifies the proof instead of replaying every transaction, reducing the data and computation required on the base layer.
A validity proof demonstrates that state changes follow defined rules without requiring Ethereum to execute every transaction again. The system still must publish enough data for users to reconstruct or verify state, and proof generation and verification must work reliably.
The ecosystem
Bridges move assets between Ethereum and Layer 2, while sequencers order activity and provers create validity proofs.
Users should still evaluate bridge design, withdrawal timing, contract risk and the current degree of operational centralization.
The user experience depends on how funds enter and leave the network and how transaction ordering is managed. Bridge operators, sequencers and upgrade keys may hold important powers, so documentation about these roles is as relevant as the rollup's proof technology.
Decentralization path
A network can begin with concentrated sequencing or proving responsibilities and gradually distribute them.
Tokens and governance may support that transition, but decentralization is a process that must be measured by actual control and fault tolerance.
Progress can be assessed by looking at who can sequence transactions, submit proofs, upgrade contracts and respond to emergencies. A roadmap is not the same as a distributed system; users should evaluate current controls and realistic failure scenarios.