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Blog

The Future of Rollups Depends on Modular Infrastructure

Rollup performance and sovereignty are no longer a function of internal code. They are gated by the modular infrastructure stack: Data Availability layers, shared sequencers, and interoperability protocols. This is the new battleground.

introduction
THE BOTTLENECK

Introduction

The monolithic scaling playbook is exhausted, forcing rollups to embrace a modular future built on specialized infrastructure.

Monolithic scaling is dead. L1s like Ethereum and Solana hit fundamental trade-offs between decentralization, security, and scalability. Rollups were the escape hatch, but they now face the same trilemma at a higher layer.

The future is modular. Specialized layers for execution, data availability, and settlement create superior systems. This is the Celestia/EigenDA thesis, where decoupling components unlocks exponential scaling and innovation.

Infrastructure dictates capability. A rollup's throughput, cost, and security profile are direct products of its chosen DA layer and shared sequencer network. The stack you choose is your product roadmap.

Evidence: Base's migration to an Optimism Superchain, powered by a shared OP Stack and EigenDA, demonstrates this shift. It trades isolated sovereignty for collective scale and interoperability.

thesis-statement
THE GATING FUNCTION

The Core Argument: The External Gating Function

Rollup scalability is now gated by external infrastructure, not internal consensus.

Scalability is externally gated. Rollups solved consensus scaling. The new bottleneck is the data availability layer and the cross-chain messaging network. Throughput is now defined by Celestia's blob space and the latency of LayerZero or Hyperlane.

Execution is the commodity. Fast, cheap L2 execution is solved. The competitive moat shifts to the external stack. A rollup using Avail for data and Wormhole for messaging has a structural advantage over one using Ethereum calldata and a custom bridge.

Modularity creates optionality. A rollup is now a configurable pipeline. Teams swap DA layers (EigenDA, Celestia) and shared sequencers (Espresso, Astria) like cloud services. This commoditizes the base layer and forces competition on service quality and cost.

Evidence: Arbitrum processes ~10 TPS, but its potential is gated by the ~80 KB/s data bandwidth of Ethereum as a DA layer. A switch to an external DA provider immediately multiplies that ceiling.

THE ROLLUP EXECUTION LAYER

Infrastructure Stack Comparison: Monolithic vs. Modular

A feature and performance matrix comparing the dominant architectural paradigms for blockchain execution layers.

Feature / MetricMonolithic L1 (e.g., Ethereum, Solana)Sovereign Rollup (e.g., Celestia, Dymension)Smart Contract Rollup (e.g., Arbitrum, Optimism, zkSync)

Sovereignty

Sequencer Revenue Capture

Time-to-Finality (L1)

12 sec (Ethereum)

~2 sec (Celestia)

~12 min (Ethereum + Challenge Period)

Data Availability Cost per MB

$1,200 (Ethereum calldata)

$1.50 (Celestia)

$1,200 (Ethereum calldata)

Forced Inclusion Guarantee

Native Token as Gas

Upgrade Control

Community Governance

Rollup Developer

Multisig / Timelock

Cross-Rollup Messaging

Bridges (LayerZero, Wormhole)

Native IBC

Bridges (LayerZero, Axelar)

deep-dive
THE BOTTLENECKS

Deep Dive: The Three Gates of Rollup Performance

Rollup scaling is constrained by three sequential bottlenecks: data availability, state growth, and proof generation.

Data Availability is the first gate. Rollups publish transaction data to a base layer like Ethereum or Celestia. The cost and speed of this data posting determines the rollup's minimum transaction fee and finality latency. Solutions like EigenDA and Avail compete to lower this cost.

State growth is the second gate. A rollup's state—the total data it must track—expands with usage. Unchecked growth cripples node sync times and hardware requirements. Teams implement state expiry (EIP-4444) and stateless clients to manage this bloat.

Proof generation is the final gate. Validity rollups like zkSync and StarkNet require a computationally intensive proof for each batch. The latency and cost of this process, handled by provers, caps throughput. Hardware acceleration with GPUs and specialized ASICs is the only path forward.

Evidence: Ethereum's blob fee market demonstrates the DA bottleneck, where Arbitrum and Optimism transaction costs fluctuate directly with L1 gas prices, not their own congestion.

protocol-spotlight
THE FUTURE OF ROLLUPS

Protocol Spotlight: The New Infrastructure Primitive

Monolithic scaling is hitting a wall. The next wave of rollup performance and sovereignty depends on specialized, modular infrastructure layers.

01

The Problem: Shared Sequencer Centralization

Outsourcing sequencing to a single provider like Espresso or Astria creates a new central point of failure and MEV capture. Rollups trade L1 security for a vibrant but risky marketplace.

  • Re-introduces trusted intermediaries for transaction ordering.
  • Creates MEV cartel risks as sequencer sets consolidate.
  • Limits rollup sovereignty over its own state finality.
1
Single Point
>90%
MEV Capture
02

The Solution: EigenLayer & Restaking

EigenLayer's restaking primitive allows Ethereum stakers to re-deploy security to new modules, like decentralized sequencers or fast finality layers. This creates crypto-economic security for modular components.

  • Slashable security for AVS (Actively Validated Services).
  • Capital efficiency for stakers, stronger guarantees for rollups.
  • Enables trust-minimized alternatives to centralized sequencer pools.
$15B+
TVL Securing AVS
100k+
Operators
03

The Problem: Data Availability Bottlenecks

Pure Ethereum calldata is expensive and slow (~$1k per MB). Even dedicated DA layers like Celestia or EigenDA face throughput vs. decentralization trade-offs, creating liveness risks for high-volume rollups.

  • Finality latency of 10s of seconds on alternative DA.
  • Data withholding attacks remain a non-zero risk.
  • Cost savings come with new security assumptions.
~20s
DA Finality
-99%
Cost vs. ETH
04

The Solution: zk-Proof Compression

Projects like Avail and Near DA are exploring using validity proofs to compress and verify data availability. This moves the security guarantee from committee honesty to cryptographic certainty.

  • Sub-second attestation of data availability via zk proofs.
  • Near-equivalent security to posting data directly to Ethereum.
  • Unlocks ultra-low-cost, high-throughput DA for hyper-scaled rollups.
<1s
Proof Time
10kx
Throughput
05

The Problem: Fragmented Liquidity & State

Hundreds of rollups create a siloed liquidity nightmare. Native bridging is slow and risky, while third-party bridges like LayerZero or Axelar introduce new trust assumptions. Users and developers face a fractured experience.

  • Days to withdraw funds securely via native bridges.
  • Bridge hacks account for ~$3B+ in total losses.
  • Composable DeFi across rollups is a security minefield.
$3B+
Bridge Losses
100+
Isolated Chains
06

The Solution: Universal Interop Layers

Protocols like Hyperlane and Polymer are building interoperability as a modular security layer. They provide sovereign, configurable security for messaging, allowing rollups to choose their own trust model (economic, light client, zk).

  • Rollup teams own their security stack for cross-chain.
  • Enables intent-based bridging (UniswapX, Across) with minimized trust.
  • Turns interoperability from a vulnerability into a customizable primitive.
Configurable
Security Model
~3s
Message Latency
counter-argument
THE INTEGRATION COST

Counter-Argument: The Monolithic Rebuttal

Monolithic architectures fail because their all-in-one design creates unsustainable integration costs and operational fragility.

Monolithic chains collapse under complexity. Integrating execution, consensus, data availability, and settlement into one state machine creates a single point of failure. Every upgrade requires a hard fork, and a bug in one layer compromises the entire system, as seen in early Ethereum.

Modularity is a scaling law. Separating concerns allows each layer to specialize and scale independently. Ethereum L1 focuses on security, Celestia/DA on cheap data, and Arbitrum/Optimism on fast execution. This specialization is the only path to massive transaction throughput.

The integration tax is real. A monolithic chain forces every dApp to pay for full-node resource overhead. In a modular stack, apps like Uniswap or Aave deploy only on an execution layer, outsourcing security and data to more efficient providers, radically lowering costs.

Evidence: The dominant L2s are all modular rollups. Arbitrum, Optimism, and zkSync do not run their own consensus or data availability layers; they inherit security from Ethereum and use EIP-4844 blobs for cheap data, proving the model works at scale.

risk-analysis
MODULAR STACK FRAGILITY

Risk Analysis: The New Attack Vectors

Decoupling the monolithic chain into specialized layers introduces novel systemic risks that threaten rollup security and liveness.

01

The Shared Sequencer Dilemma

Centralizing transaction ordering in a single sequencer like Espresso or Astria creates a single point of failure and censorship. The economic security of the rollup is now tied to the sequencer's staking mechanism, not the underlying L1.

  • Risk: A compromised sequencer can censor, reorder, or steal MEV from all connected rollups.
  • Mitigation: Requires robust slashing conditions and fast, permissionless force-inclusion to L1.
1
Single Point
$B+
Stake at Risk
02

Data Availability Oracle Attacks

Light clients and fraud proofs rely on Data Availability (DA) oracles like EigenDA or Celestia to attest that data is published. A malicious or faulty oracle can lie, making fraud proofs impossible and freezing the rollup.

  • Risk: A 51% attack on the DA layer's consensus can invalidate the security of all dependent rollups.
  • Mitigation: Requires multi-proof systems and fallbacks to Ethereum's full DA via EIP-4844 blobs.
51%
Attack Threshold
~0
Proof Validity
03

Sovereign Bridge & Upgrade Keys

Modular rollups use smart contract bridges (e.g., Optimism's L2→L1 bridge) for asset movement. The upgradeability of these bridge contracts and their dependency on multi-sigs create a massive centralization vector.

  • Risk: A compromised multi-sig can mint unlimited bridged assets or freeze $10B+ TVL.
  • Mitigation: Requires time-locked, verifiable, and eventually immutable upgrade paths via decentralized governance.
$10B+
TVL at Risk
5/8
Typical Multi-sig
04

Interoperability Layer Risk

Connecting modular rollups via interoperability layers like LayerZero, Axelar, or Hyperlane exposes them to new trust assumptions. A vulnerability in the generic message-passing verifier compromises every connected chain.

  • Risk: A single bug can lead to cross-chain asset theft, as seen in the Wormhole and Nomad exploits.
  • Mitigation: Requires rigorous formal verification and economic security that exceeds the value of cross-chain messages.
1 Bug
All Chains
$320M
Historic Exploit
05

Prover Centralization & Failure

ZK-rollups depend on provers (e.g., RiscZero, SP1) to generate validity proofs. Prover networks can become centralized, and a prover failure halts block production, causing chain liveness failure.

  • Risk: A prover cartel can censor transactions or extract monopoly rents, while a bug creates an irrecoverable state.
  • Mitigation: Requires multiple, competing prover implementations and a robust economic model for proof generation.
~10s
Proving Time
0
Blocks Finalized
06

MEV Supply Chain Attacks

In a modular stack, MEV extraction is outsourced to specialized builders and relay networks. This creates a complex supply chain where a malicious actor can exploit the fragmentation to perform time-bandit attacks or denial-of-service on proposer-builder communication.

  • Risk: Reduced transparency and increased attack surface for cross-domain MEV extraction, harming end-users.
  • Mitigation: Requires encrypted mempools (SUAVE), commit-reveal schemes, and reputation systems for builders.
+200%
Attack Surface
Opaque
MEV Flow
future-outlook
THE INTEROPERABILITY STACK

Future Outlook: The Aggregation Layer

The final competitive frontier for rollups is not raw performance, but the seamless, secure user experience enabled by modular interoperability.

The aggregation layer wins. Rollup competition shifts from isolated L2 performance to the quality of the interoperability stack. Users demand single-chain UX across fragmented liquidity, making the bridge/sequencer/AMM aggregator the primary interface.

Intent-based architectures dominate. Protocols like UniswapX and CowSwap abstract cross-chain complexity. Users submit outcome-based intents, while solvers on networks like EigenLayer compete to source liquidity across Arbitrum, Optimism, and Base.

Shared sequencing is non-negotiable. Rollups that outsource sequencing to Espresso or Astria enable atomic cross-rollup composability. This creates a synchronous environment where applications span multiple execution layers without trust assumptions.

Evidence: The 80% TVL dominance of the top three rollups proves liquidity consolidates. The winner aggregates this liquidity, not creates more of it.

takeaways
MODULAR INFRASTRUCTURE

Takeaways for Builders and Investors

The monolithic L1 is dead. Future rollup performance and security are gated by the quality of their specialized, outsourced components.

01

The Shared Sequencer Dilemma

Running your own sequencer is a massive operational burden and creates liquidity fragmentation. The solution is a neutral, high-performance shared sequencer network like Espresso Systems or Astria.\n- Enables atomic cross-rollup composability (e.g., a single trade across an Arbitrum DEX and an Optimism lending market).\n- Mitributes centralization risk from individual rollup operators to a decentralized set of validators.\n- Unlocks new revenue streams for sequencer operators beyond a single chain's MEV.

~500ms
Finality
-90%
OpEx
02

Data Availability is the Real Bottleneck

Settlement and execution are cheap; proving data is available is the expensive part. EigenDA, Celestia, and Avail are competing to be the canonical DA layer.\n- Cost is the primary vector: Onchain DA (Ethereum) costs ~$100k+ per MB, modular DA targets ~$1-10 per MB.\n- Security-Throughput Tradeoff: Builders must choose between Ethereum's inherited security and a new, faster data layer.\n- Interoperability Dependency: Your chosen DA layer dictates your bridge and proof system options (e.g., zk-proofs need data).

100x
Cheaper DA
>100 KB/s
Throughput
03

Proving Markets Will Commoditize Execution

ZK-Rollups today are vertically integrated (one chain, one prover). The future is a marketplace where any rollup can auction proof generation to specialized networks like RiscZero, Succinct, or Georli.\n- Drives down proving costs via competitive bidding and hardware specialization (GPUs, FPGAs).\n- Accelerates innovation: Rollup teams focus on VM design, not proof system cryptography.\n- Creates a new asset class: Proof of work for the ZK era; provers stake to participate and earn fees.

-75%
Proving Cost
10 min → 2 min
Proof Time
04

Interoperability is an Infrastructure Play

Bridging isn't a feature; it's a core infrastructure service provided by layers like LayerZero, Axelar, and Wormhole. The winning standard will be the one integrated into the modular stack.\n- Security is not additive: Using 3 bridges triples your attack surface. The goal is a single, canonical interoperability layer.\n- Native integration wins: The DA layer or shared sequencer that offers built-in, secure messaging will capture the most value.\n- Intent-based future: The endgame is users declaring outcomes ("swap X for Y") with routing handled automatically by the infra.

$10B+
TVL at Risk
1 of N
Trust Assumption
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Rollups Are Gated by Modular Infrastructure, Not Code | ChainScore Blog