Celestia Integration: Modular DA for Your Rollup

We integrate Celestia's modular DA layer for your rollup to reduce data publication costs and boost throughput. Instead of expensive blobs on Ethereum, data is sent to Celestia, which guarantees availability. With our integration, savings on DA can reach 99%, and throughput scales to tens of MB/s.

In practice: a DeFi client running a custom L2 on OP Stack faced rising blob fees with activity growth. After our Celestia integration, batch publication cost dropped 40x, and blob space competition disappeared. With a monthly DA budget of ~$12,000, costs fell to $150—a 98.75% reduction. Throughput went from 200 KB/s to 5 MB/s, handling 25x more transactions per block.

Why Celestia Beats Ethereum for DA

Ethereum blobs after EIP-4844 gave temporary relief, but throughput is limited to ~375 KB per block at 6 blobs. Under peak load, the blob market becomes competitive and prices spike. Celestia doesn't execute transactions—it only guarantees data availability, achieving ~8 MB/block (testnet) with plans to reach 1 GB/block.

Celestia is 1000x cheaper than Ethereum blobs with comparable security—making rollup architecture economical even under high load. Data from Celestia Labs documentation confirms these figures.

How DAS Works and Why It Matters

Data Availability Sampling is a mechanism where light nodes don't download entire blocks, but make random requests for small chunks. If all requests succeed, the block is available with high probability (cryptographic guarantee). Celestia uses 2D Reed-Solomon erasure coding: data is split into a matrix, encoded row- and column-wise—only 50% of any data is needed for reconstruction. This means data remains available even if some nodes are offline.

How to Connect Celestia to Your Rollup

1. Choose architecture—sovereign or settlement rollup.
2. Deploy celestia-node (full or bridge node for sequencer).
3. Integrate with DA client—for OP Stack this is alt-da mode, for Rollkit built-in support.
4. Verification—configure NMT proof verification via Blobstream on L1.
5. Testing—load simulation, fallback mechanisms.

// Example batch publication via celestia-node (Go)
import (
    "github.com/celestiaorg/celestia-node/api/rpc/client"
    "github.com/celestiaorg/celestia-app/pkg/namespace"
)
rpcClient, _ := client.NewClient(ctx, "http://localhost:26658", authToken)
ns, _ := namespace.From([]byte("myrollup123456789"))
blob, _ := blob.NewBlob(ns, batchData)
height, _ := rpcClient.Blob.Submit(ctx, []*blob.Blob{blob}, blob.DefaultGasPrice())
fmt.Printf("Data submitted at height: %d\n", height)

How DA Costs Drop in Practice

A real project: average daily blob fees were $400 (4 blobs at 0.01 ETH each). After moving to Celestia, daily costs fell to $5—an 80x reduction. Throughput rose from 0.5 MB/s to 8 MB/s, removing transaction throughput constraints. Savings come from no auction (blob market) and low base byte cost.

Inclusion Verification: Namespace Merkle Proof

To let L1 smart contracts verify data inclusion in Celestia, NMT proofs are used. Blobstream (formerly Quantum Gravity Bridge) publishes Celestia data root commitments to Ethereum.

function verifyDataAvailability(
    uint64 celestiaHeight, bytes32 dataRoot, NMTProof calldata nmtProof
) external view returns (bool) {
    bool rootVerified = blobstream.verifyAttestation(nonce, tuple, binaryProof);
    require(rootVerified, "DataRoot not attested");
    return nmtVerifier.verify(dataRoot, nmtProof, namespaceStart, namespaceEnd);
}

What's Included

• Analysis—choose architecture and DA strategy for your rollup.
• Deployment—install and configure celestia-node, bridge node.
• Integration—code for publishing and verifying data, fallback setup.
• Documentation—API specs, diagrams, configurations.
• Support—2 weeks of monitoring post-launch.

Our team of blockchain engineers has over 5 years of experience and has completed 20+ modular DA integrations. We work turnkey—from concept to production. According to Celestia Labs documentation, proper integration reduces DA costs by 1–2 orders of magnitude.

Contact us for a free consultation—we'll analyze your architecture and propose an integration plan. Get your Celestia integration started today and start saving on DA immediately.

Blockchain Infrastructure Deployment: Nodes, RPC, Indexing

Subgraph fell at 3:47 AM. By morning users saw outdated balances, transactions "hung" in the UI, support received 47 tickets in an hour. Cause: the handler in the subgraph failed on a transaction with a non-standard event log — and the entire index stopped. We have encountered such situations dozens of times. Our experience shows: blockchain infrastructure does not forgive gaps in observability. Guaranteeing uptime without multi-layered monitoring and fault-tolerant architecture is impossible. Over 8 years working with Ethereum, Polygon, and Solana, we have developed an approach that allows predictable deployment of infrastructure of any scale — from a single node to a multichain grid with dozens of subgraphs.

RPC Layer Architecture

Every dApp interaction with the blockchain goes through RPC — the JSON-RPC API provided by a node. Three options:

Managed providers — Alchemy, QuickNode, Infura, Ankr. Minimal operational costs, SLA, built-in monitoring. Limits: rate limits (Alchemy Free: 300 RU/sec), vendor lock, potential downtime during provider incidents. For most projects — the right choice at the start.

Self-owned nodes — full control, no rate limits, no third-party dependence. Cost: archive Ethereum node requires 2.5–3TB SSD, a strong server, and DevOps support. Sync from scratch on Ethereum via Geth/Nethermind — 3–7 days. Justified under high load or latency requirements.

Hybrid — self-owned node as primary, managed provider as fallback. Standard for protocols with high TVL. Proper load balancing can reduce costs by 20–30% compared to pure managed setup. Under high monthly request volume, hybrid saves significantly.

How to Set Up an RPC Layer Without a Single Point of Failure?

At least two providers, DNS round-robin with health check every 5 seconds, automatic fallback when latency >500 ms. In practice, this gives 99.99% availability during any provider failure. For protocols with high TVL, we recommend a custom HA-proxy (nginx or Envoy) in front of two managed providers.

Why Is a Hybrid RPC Scheme More Cost-Effective Than Pure Managed?

At high request volumes, managed providers can be very expensive; a hybrid using a self-owned node as primary and a managed fallback cuts costs significantly without losing SLA.

Ethereum Node Clients

Execution clients: Geth (most used), Nethermind (C#, fast sync), Besu (Java, enterprise), Erigon (fastest sync, efficient archive mode ~2TB instead of 3TB).

Consensus clients (post-Merge): Lighthouse (Rust), Prysm (Go), Teku (Java), Nimbus (Nim). Each node after The Merge requires a pair of execution + consensus clients.

For DevOps: eth-docker — Docker Compose configurations for all client combinations. Setting up monitoring via Grafana + Prometheus is mandatory; a standard dashboard is available in each client's repository.

The Graph: Event Indexing

The Graph Protocol — decentralized indexing. A subgraph describes which events from which contracts to index and how to transform them into a GraphQL schema.

Subgraph structure:

• subgraph.yaml — manifest: contract addresses, startBlock, events to handle
• schema.graphql — GraphQL schema of entities
• src/mapping.ts — AssemblyScript event handlers

dataSources:
  - kind: ethereum
    name: UniswapV3Pool
    network: mainnet
    source:
      address: "0x88e6A0c2dDD26FEEb64F039a2c41296FcB3f5640"
      abi: UniswapV3Pool
      startBlock: 12370624
    mapping:
      eventHandlers:
        - event: Swap(indexed address,indexed address,int256,int256,uint160,uint128,int24)
          handler: handleSwap

AssemblyScript handlers — not TypeScript. No nullable types, no closures, no many standard APIs. An error in the handler stops the subgraph indexing on that transaction. Important: add try-catch for operations that can fail (e.g., store.get() for an entity that may not exist).

How to Avoid Subgraph Indexing Stops?

Graph Node logs are monitored in real-time; on hasIndexingErrors = true an alert fires and an automatic node restart (via systemd or Kubernetes). Typical downtime on error — 150–300 seconds to recover. Additionally, for production we set up a watchdog that restarts Graph Node if subgraph lag exceeds 50 blocks.

Choosing Between Hosted Service and Decentralized Network

Graph Hosted Service (free, centralized) is deprecated in favor of Subgraph Studio + Graph Network. For production: deploy on Graph Network with GRT curation signal — the subgraph gets indexers proportional to curation.

Alternatives to The Graph: Ponder (TypeScript, self-hosted, easier to debug), Envio (ultra-fast indexer, supports EVM + non-EVM), Subsquid (TypeScript, own network), Moralis Streams (managed, webhook-based). Our experience shows: for high-load projects with unique logic, Ponder or Envio are more effective — they give full control over the process and do not require GRT tokenomics.

Webhooks and Real-Time Notifications

Alchemy Webhooks and QuickNode Streams allow receiving events in real-time via HTTP webhook or WebSocket. For monitoring addresses, new transactions, mints — this is faster than polling RPC.

Tenderly — platform for monitoring and alerts. You can set up an alert for a specific contract event, balance change, function call with certain parameters. Transaction simulation via Tenderly API is invaluable for debugging.

Monitoring and Observability

Minimum monitoring stack for a protocol:

On-chain: OpenZeppelin Defender Sentinel — watches contract events, triggers webhook or Autotask when conditions are met. Forta Network — community-maintained bots detect anomalies (large withdrawals, flash loans, governance attacks).

Infrastructure: Grafana + Prometheus for nodes, Datadog or Grafana Cloud for managed metrics. Alerts on: node is 10+ blocks behind, RPC latency >500ms, subgraph lag >100 blocks.

Uptime: Better Uptime or PagerDuty on RPC endpoint and subgraph health endpoint (The Graph provides _meta { hasIndexingErrors, block { number } }).

Why Is Monitoring Without Tenderly Insufficient?

Tenderly provides transaction simulation and detailed traces — critical for debugging subgraph and smart contract errors. Forta focuses on network anomalies, not your infrastructure. The combination of Tenderly plus a custom Grafana dashboard covers 90% of incident scenarios.

Multichain Infrastructure

A protocol on 5 chains = 5 separate RPC endpoints, 5 subgraphs, 5 monitoring configs. Manageable but requires deployment automation.

For subgraph multi-network deployment: graph deploy --network mainnet, graph deploy --network arbitrum-one etc. with a unified codebase and network-specific addresses in separate config files.

Chainlink CCIP and LayerZero for cross-chain messaging require monitoring of both chains and transactions on intermediate relayers. A reorg on the source chain after a confirmed mint on the target chain is a classic bridge problem. Solution: wait for finality (on Ethereum ~15 minutes after Merge for economic finality) before confirming on the target chain.

Infrastructure Setup Process

1. Audit current stack — determine chains, request volume, latency and availability requirements.
2. Architecture design — select providers, load balancing, redundancy.
3. Subgraph development — manifest → schema → handlers → testing on local Graph Node → deploy to testnet → mainnet.
4. Monitoring configuration — Tenderly alerts, Grafana dashboard, PagerDuty integration.
5. Documentation and runbook — what to do when: subgraph falls behind, RPC downtime, node desync.
6. Handover to operations — team training, access transfer, first month support.

What's Included

• Deployment of managed or self-hosted Ethereum, Polygon, BNB Chain nodes
• RPC layer setup with primary/fallback and load balancing
• Subgraph development and deployment for your protocol
• Monitoring connection (Tenderly, Grafana, alerts)
• Runbook and operations documentation
• Team training (up to 4 hours online)
• 30-day support after delivery

Timeline

All projects are managed in a GitHub/GitLab repository with CI/CD; configuration code stays with you. Order infrastructure deployment — we'll show how to cut costs by 20–30% without losing reliability. Get a consultation — we'll demonstrate how we deployed infrastructure for a protocol with large TVL on Ethereum and Arbitrum. Contact us.