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Building a Production-Ready Lightning Network Backend in Rust with LND and Axum

Published
4 min read
Building a Production-Ready Lightning Network Backend in Rust with LND and Axum
M

Backend Software Engineer with over 5 years of working experience with engineering teams building and maintaining solutions across various sections

I have solid experience in building products using technologies such as JavaScript, nodeJs, ExpressJs, Typescript, ReactJs, NoSQL/SQL database, PHP/Laravel, Firebase, AWS S3, elastic beanstalk, and AWS Lambda function

I write articles on my blog around backend engineering, Bitcoin Lighening, building distributed Microservice systems and give talks in my local tech communities.

Bitcoin Lightning Network (LN) enables instant, low-fee payments by moving transactions off-chain. In production systems, LND (Lightning Network Daemon) remains the most widely used LN implementation.

In this article, we’ll walk through how to integrate LND into a Rust backend using Axum, covering:

  • Secure LND connection (TLS + macaroons)

  • A unified Lightning abstraction

  • Creating and paying invoices

  • Fetching invoices, channels, and balances

  • Why this architecture scales well in production

This implementation uses:

  • Rust

  • Axum (HTTP server)

  • tonic + gRPC

  • tonic_lnd

  • BOLT11 invoice parsing

1. Architecture Overview

At a high level, the backend looks like this:

Axum HTTP API => LightningClient (trait) => LndNode (LND implementation) => LND gRPC API (tonic_lnd)

Why this design matters

  • Axum handles HTTP routing and async request lifecycles

  • LightningClient trait allows future support for:

    • Core Lightning

    • Eclair

    • Breez SDK

  • LndNode is a concrete implementation backed by LND gRPC

This keeps the business logic decoupled from the Lightning provider.

2. Securely Connecting to LND (TLS + Macaroons)

LND requires:

  • TLS certificate

  • Macaroon (admin / invoice / readonly)

In this setup, both are passed as hex-encoded strings and written to temporary files at runtime.

Why hex-encoded credentials?

  • Safe to store in env vars or secrets managers

  • No persistent files on disk

  • Easier container deployment (Docker, K8s)

async fn connect_lnd_with_hex(
    address: String,
    cert_hex: String,
    macaroon_hex: String,
) -> Result<Client, Box<dyn std::error::Error>> {
    let (cert_file, cert_path) = Self::hex_to_temp_file(cert_hex)?;
    let (macaroon_file, macaroon_path) = Self::hex_to_temp_file(macaroon_hex)?;

    let client = tonic_lnd::connect(address, cert_path, macaroon_path).await?;

    drop(cert_file);
    drop(macaroon_file);

    Ok(client)
}

This approach is production-safe and commonly used in Lightning infrastructure.

3. Initializing the LND Node

When the node starts:

  1. Connect to LND

  2. Call get_info

  3. Validate node identity

  4. Extract features and metadata

pub async fn new(connection: LndConnection) -> Result<Self, LightningError> {
    let mut client = Self::connect_lnd_with_hex(
        connection.address,
        connection.certificate,
        connection.macaroon,
    ).await?;

    let node_info = client
        .lightning()
        .get_info(GetInfoRequest {})
        .await?
        .into_inner();

    Ok(Self {
        client: Mutex::new(client),
        info: NodeInfo {
            pubkey,
            alias,
            features: parse_node_features(node_info.features.keys().cloned().collect()),
        },
    })
}

This ensures:

  • You’re connected to the expected node

  • The node’s network (mainnet/testnet) is validated

  • Feature bits are available for future routing logic

4. LightningClient Trait: A Unified Interface

The core abstraction is the LightningClient trait:

#[async_trait]
pub trait LightningClient: Send {
    async fn get_network(&self) -> Result<Network, LightningError>;
    async fn get_node_info(&self) -> &NodeInfo;
    async fn list_channels(&self) -> Result<Vec<ChannelSummary>, LightningError>;
    async fn list_invoices(&self) -> Result<Vec<CustomInvoice>, LightningError>;
    async fn create_invoices(&self, amount: u64, description: &str)
        -> Result<CustomInvoice, LightningError>;
    async fn get_invoice_details(&self, payment_hash: &PaymentHash)
        -> Result<CustomInvoice, LightningError>;
    async fn pay_invoice(&self, payment_request: &str)
        -> Result<Payment, LightningError>;
    async fn get_wallet_balance(&self) -> Result<u64, LightningError>;
}

Benefits

  • Clean separation between API handlers and Lightning logic

  • Easy mocking for tests

  • Plug-and-play future LN implementations

5. Creating Lightning Invoices (BOLT11)

Invoices are created in millisatoshis, as required by LND.

let invoice_request = Invoice {
    value_msat: (amount * 1_000) as i64,
    memo: description.to_string(),
    ..Default::default()
};

After creation, the BOLT11 string is parsed and validated:

let _bolt11 = Bolt11Invoice::from_str(&invoice.payment_request)?;

Why validate BOLT11?

  • Detect malformed invoices early

  • Prevent downstream payment failures

  • Useful when invoices are shared externally

The result is mapped into a domain-level CustomInvoice type, keeping LND details out of the rest of the app.

6. Paying Lightning Invoices

Invoice payments are handled synchronously using send_payment_sync.

let request = SendRequest {
    payment_request: payment_request.to_string(),
    timeout_second: 30,
    fee_limit_sat: 1000,
    ..Default::default()
};

let response = client
    .send_payment_sync(Request::new(request))
    .await?
    .into_inner();

Key safety checks

if !response.payment_error.is_empty() {
    return Err(LightningError::PaymentError(response.payment_error));
}

This ensures:

  • Failed payments are surfaced immediately

  • Axum endpoints can return deterministic responses

7. Listing Invoices and Channels

Invoices and channels are normalized into application-level structures.

Invoice State Mapping

match InvoiceState::try_from(invoice.state)? {
    InvoiceState::Open => InvoiceStatus::Open,
    InvoiceState::Settled => InvoiceStatus::Settled,
    InvoiceState::Canceled => InvoiceStatus::Failed,
    _ => InvoiceStatus::Open,
}

Channel Intelligence

For public channels:

  • Fetch channel policies

  • Compute latest last_update

  • Track uptime and balances

This data is critical for:

  • Routing decisions

  • Liquidity management

  • Node health dashboards

8. Wallet Balance

On-chain wallet balance is fetched via:

let response = client.wallet_balance(WalletBalanceRequest {}).await?;
Ok(response.confirmed_balance as u64)

This enables:

  • Fee management

  • Auto-rebalancing strategies

  • Fiat off-ramp flows

9. Integrating with Axum

A typical Axum handler looks like this:

async fn create_invoice(
    State(client): State<Arc<dyn LightningClient>>,
    Json(req): Json<CreateInvoiceRequest>,
) -> Result<Json<CustomInvoice>, ApiError> {
    let invoice = client
        .create_invoices(req.amount, &req.memo)
        .await?;
    Ok(Json(invoice))
}

Why Axum works well here

  • Async-first (perfect for gRPC)

  • Clean extractor model

  • Plays nicely with Arc<dyn Trait>

10. Production Considerations

This design supports:

  • Multiple Lightning implementations

  • Stateless API servers

  • Secure credential handling

  • Strong type safety

  • Clear error boundaries

Future extensions:

  • AMP payments

  • Keysend

  • LNURL-Pay / Withdraw

  • WebSocket invoice subscriptions

  • Multi-node routing

Github Repo: Link

Conclusion

By combining Rust, Axum, and LND, you get a backend that is:

  • Fast

  • Safe

  • Extensible

  • Production-ready

This architecture mirrors how serious Lightning infrastructure is built today—clean abstractions, strict validation, and async correctness.