Foundational technologies and mechanisms that enable blockchain scaling while inheriting the security of the underlying mainnet.
What Layer 2 Scaling Is in DeFi
Core Concepts of Layer 2 Scaling
Rollups
Rollups execute transactions off-chain and post compressed data back to Layer 1. They come in two primary types.
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Optimistic Rollups assume transactions are valid, using a fraud-proof challenge period (e.g., Arbitrum, Optimism).
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ZK-Rollups use zero-knowledge proofs for instant validity (e.g., zkSync, StarkNet).
This matters as it drastically reduces gas fees and increases throughput while leveraging Ethereum's security.
State Channels
State channels are bidirectional conduits where participants transact off-chain, only settling the final state on the mainnet.
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Transactions are instant and feeless between parties (e.g., Lightning Network for Bitcoin).
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Ideal for high-frequency, low-latency applications like gaming or micropayments.
This matters for users needing real-time interactions without waiting for block confirmations or paying high fees for each action.
Plasma
Plasma creates hierarchical child chains anchored to the main Ethereum chain, each with its own block producer.
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Uses fraud proofs to ensure correct state transitions, with users able to exit to the main chain if malicious activity is detected.
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Best suited for specific application logic rather than general computation.
This matters for creating scalable, application-specific chains that benefit from reduced data load on Layer 1.
Validiums
Validiums are a scaling solution similar to ZK-Rollups but with data availability handled off-chain by a committee or proof-of-stake system.
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Offers even higher throughput and lower costs than rollups, as data is not stored on-chain.
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Introduces a trust assumption regarding data availability (e.g., Immutable X for NFTs).
This matters for applications requiring extreme scalability where off-chain data custody is an acceptable trade-off.
Sidechains
Sidechains are independent blockchains with their own consensus mechanisms and validators, connected to the main chain via a two-way bridge.
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They offer high performance and customizability (e.g., Polygon PoS, Skale).
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Security is not inherited from Ethereum; it depends on the sidechain's own validator set.
This matters for developers seeking flexibility and low costs, while accepting a separate security model from the mainnet.
Data Availability
Data Availability refers to the guarantee that transaction data is published and accessible for verification, a critical component for rollup security.
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Solutions like EigenDA or Celestia provide specialized data availability layers.
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Enables secure scaling by ensuring anyone can reconstruct the chain state and submit fraud proofs.
This matters as it underpins the security of optimistic and ZK rollups, preventing malicious sequencers from hiding data.
Types of Layer 2 Solutions
Understanding the Core Approaches
Layer 2 solutions are separate blockchains built on top of a main chain like Ethereum to increase speed and reduce cost. They handle transactions off-chain and then post final proof back to the secure base layer. This is essential for DeFi applications that need fast, cheap transactions for swaps and lending.
Key Categories
- Rollups: These bundle (or "roll up") many transactions into a single piece of data posted to Ethereum. Optimistic Rollups (like Arbitrum and Optimism) assume transactions are valid and only run a fraud-proof challenge if someone disputes them. ZK-Rollups (like zkSync and StarkNet) use cryptographic validity proofs for every batch, providing instant finality.
- State Channels: These are private, two-way channels between participants for instant, fee-less transactions, with the final state settled on-chain. They are ideal for repeated interactions, like micro-payments or gaming.
- Sidechains: Independent blockchains (like Polygon PoS) with their own consensus mechanisms, connected to Ethereum via a two-way bridge. They offer high throughput but have different security assumptions than Ethereum.
- Plasma: A older framework for creating child chains that periodically commit checkpoints to Ethereum, but it has limitations with data availability and exit times.
Example
When you swap tokens on a DEX like Uniswap deployed on Arbitrum, your trade is executed on the Optimistic Rollup chain. You pay minimal gas fees and get confirmation in seconds, while the security of your funds is still backed by Ethereum's consensus.
How Rollups Process Transactions
A technical breakdown of the transaction lifecycle from user submission to final settlement on the base layer.
Transaction Submission and Batching
Users submit transactions to a rollup sequencer, which aggregates them into a single batch.
Detailed Instructions
Users sign and send their transactions to a designated rollup sequencer node. This sequencer, which can be centralized or decentralized, orders the transactions and aggregates them into a single, compressed batch or block. The primary goal is data compression; signatures and other redundant data are removed to minimize the data that must be published to the base chain (L1). The sequencer also provides near-instant confirmations to users, simulating the experience of a standalone blockchain.
- Sub-step 1: User signs a transaction with their private key, specifying the target rollup chain ID.
- Sub-step 2: Transaction is broadcast to the rollup's public mempool or directly to a sequencer RPC endpoint.
- Sub-step 3: Sequencer validates the transaction's nonce and fee, orders it, and adds it to the pending batch.
javascript// Example of a typical transaction object sent to an Optimism sequencer const tx = { to: '0x742d35Cc6634C0532925a3b844Bc9e...', value: ethers.utils.parseEther('1.0'), gasLimit: 21000, nonce: 5, chainId: 10, // Optimism Mainnet };
Tip: The sequencer's ordering is crucial for MEV and fairness. Some rollups like Arbitrum use a first-come-first-served inbox to mitigate malicious ordering.
Data Publication to L1
The compressed batch data is published as calldata to the base layer Ethereum contract.
Detailed Instructions
The sequencer posts the compressed batch of transactions to the rollup contract on the base layer (L1). This is done by calling a function like appendSequencerBatch() and publishing the raw transaction data as calldata. This step is the core of the data availability guarantee; by storing the data on Ethereum, anyone can reconstruct the rollup's state and verify correctness. For Optimistic Rollups, this is the full transaction data. For ZK-Rollups, this step may involve posting a data availability commitment or the full data, depending on the design.
- Sub-step 1: Batch compression using techniques like RLP encoding and signature aggregation.
- Sub-step 2: Submit transaction to the L1 rollup contract's inbox, paying for L1 gas.
- Sub-step 3: Data is indexed by layer 2 nodes, which read the calldata from the L1 block to sync their local state.
solidity// Simplified interface for an Optimistic Rollup inbox contract interface IRollupInbox { function appendSequencerBatch( bytes32 _batchHash, uint256 _shouldStartAtElement, bytes calldata _transactions ) external; }
Tip: The cost of this calldata is the primary scaling bottleneck and fee component for users. EIP-4844 (blob transactions) significantly reduces this cost.
State Transition and Proof Generation
The rollup's state is updated off-chain, and a validity proof or fraud proof is prepared.
Detailed Instructions
State executors (validators or provers) process the published batch off-chain. They apply the transactions in order to the current Merkle state root, producing a new state root. For ZK-Rollups, a validity proof (ZK-SNARK or STARK) is generated cryptographically proving the state transition is correct. For Optimistic Rollups, the system assumes correctness but allows a fraud proof to be submitted during a challenge period. The new state root and the associated proof (if any) are the outputs ready for finalization.
- Sub-step 1: Execute batch using the rollup's virtual machine (e.g., Arbitrum's AVM, zkSync's zkEVM).
- Sub-step 2: Compute new state root by updating the Merkle tree with transaction outcomes.
- Sub-step 3: Generate proof (ZK proof) or prepare fraud proof data (Optimistic) for the transition.
rust// Conceptual snippet for a ZK circuit constraint (pseudo-code) // Enforcing a balance transfer: new_sender_bal = old_sender_bal - amount circuit.constrain( new_sender_balance + amount == old_sender_balance ); circuit.constrain(amount > 0);
Tip: ZK proof generation is computationally intensive but provides instant finality. Fraud proofs are computationally lighter but introduce a 7-day delay for full security.
Final Settlement on L1
The new state root and proof are submitted to the L1 contract for verification and finalization.
Detailed Instructions
The final step involves settlement on the base layer. For a ZK-Rollup, the prover submits the new state root and the ZK-SNARK proof to the verifier contract on L1. The contract runs a lightweight verification algorithm; if it passes, the state root is finalized immediately. For an Optimistic Rollup, the assertion (containing the new state root) is posted. It enters a challenge period (e.g., 7 days). If no valid fraud proof is submitted, the state is finalized. This step anchors the rollup's security directly to Ethereum's consensus.
- Sub-step 1: Submit proof/assertion to the L1 verifier or dispute contract.
- Sub-step 2: L1 contract verifies the cryptographic proof or waits for challenges.
- Sub-step 3: State root is updated on the L1 contract, becoming the canonical reference for bridge withdrawals.
solidity// Example function for finalizing a state with a ZK proof (inspired by zkSync) function proveBlocks( StoredBlockInfo memory _lastCommittedBlockData, ProofInfo memory _proof ) external { require(_proof.verifierId < verifiers.length, "Invalid verifier id"); // ... verification logic ... _lastCommittedBlockData.verified = true; totalBlocksVerified++; }
Tip: Finalizing a state root on L1 is required for users to withdraw funds via the canonical bridge. The mechanism differs drastically between optimistic and ZK models.
Comparing Layer 2 Solutions
A technical comparison of leading Layer 2 scaling approaches based on current mainnet performance and design characteristics.
| Feature | Optimistic Rollups (Arbitrum One) | ZK-Rollups (zkSync Era) | Validiums (StarkEx) |
|---|---|---|---|
Finality Time (to L1) | ~7 days (challenge period) | ~1 hour (ZK-proof generation & verification) | ~1 hour (ZK-proof generation & verification) |
Transaction Cost (Simple Swap) | ~$0.10 - $0.30 | ~$0.05 - $0.15 | ~$0.02 - $0.08 |
Throughput (TPS) | ~4,000 - 40,000 | ~2,000 - 20,000 | ~9,000 - 90,000 |
Data Availability | On-chain (full data posted to L1) | On-chain (full data posted to L1) | Off-chain (only proofs on L1, data with committee) |
EVM Compatibility | Full EVM equivalence (Solidity) | Bytecode-level compatibility (zkEVM) | Cairo VM (requires language-specific compilation) |
Withdrawal Time to L1 (Standard) | 7 days | Several hours to 1 day | Several hours to 1 day |
Trust Assumption | 1-of-N honest validator (fraud proofs) | Cryptographic (ZK validity proofs) | Cryptographic + Data Availability Committee |
DeFi Use Cases on Layer 2
Layer 2 scaling solutions enable complex, high-frequency DeFi applications by providing low-cost, fast transactions. This section details the primary financial activities thriving in this environment.
Decentralized Exchanges (DEXs)
Automated Market Makers (AMMs) like Uniswap and SushiSwap dominate L2s. They use liquidity pools instead of order books for asset swaps.
- Sub-second trade execution with minimal slippage.
- Fractional cent swap fees enable high-frequency trading and arbitrage.
- Users benefit from deep liquidity and the ability to provide capital as a Liquidity Provider (LP) profitably.
Lending & Borrowing Protocols
Overcollateralized lending platforms such as Aave and Compound are core L2 primitives. They allow users to deposit assets as collateral to borrow other assets.
- Instant, low-cost liquidation mechanisms protect protocol solvency.
- Users can leverage positions or earn yield on deposits efficiently.
- This creates a foundational money market for the entire DeFi ecosystem.
Yield Aggregation & Vaults
Yield optimizers like Yearn Finance automate strategy execution across multiple protocols to maximize returns.
- Automatically compounds rewards and rebalances between lending pools and liquidity farms.
- Manages gas costs and harvest timing for optimal APY.
- This abstracts complexity, allowing passive investors to access sophisticated DeFi strategies.
Perpetual Futures & Derivatives
Perpetual swap contracts offered by dYdX and GMX provide leveraged exposure to assets without expiration dates.
- Utilizes virtual AMMs or pooled liquidity models for deep leverage markets.
- Funding rate payments occur frequently between long and short positions.
- L2s make these capital-efficient, high-frequency products viable for retail users.
Cross-Chain Asset Bridging
Canonical bridges and third-party bridges are critical L2 infrastructure for moving assets between L1 and L2 or across different L2s.
- Uses mint-and-burn or lock-and-mint mechanisms to represent assets.
- Enables liquidity fragmentation solutions and unified yield farming across chains.
- Users rely on these for capital deployment and accessing native L2 incentives.
On-Chain Governance
Decentralized Autonomous Organizations (DAOs) use L2s for efficient, participatory protocol management via token-based voting.
- Low-cost proposal submission and voting increase participation.
- Enables complex treasury management and parameter adjustment votes.
- This makes protocol upgrades and community funding more accessible and frequent.
Layer 2 Scaling FAQs
Optimistic Rollups assume transactions are valid and only run computation (fraud proofs) during a challenge period, typically 7 days. This allows for general-purpose EVM compatibility but introduces withdrawal delays. ZK-Rollups (Zero-Knowledge) generate a cryptographic validity proof (SNARK/STARK) for every batch, enabling instant finality. They are computationally intensive, often limiting them to specific applications like payments or swaps, though general-purpose ZK-EVMs are emerging. For example, Arbitrum uses Optimistic validation, while zkSync and StarkNet utilize ZK proofs.