Private Ethereum RPC Endpoints on a Dedicated Node

A dedicated Ethereum RPC node is your own Ethereum node running on a single-tenant server. It serves your private JSON-RPC traffic. Your apps send JSON-RPC requests to your node, not a shared endpoint used by other customers. On RedSwitches you run this on bare metal with root access, so you control clients, configs, and capacity.

Most production apps work on a full node. It handles current-state reads and transaction flow while keeping storage manageable through pruning. Choose an archive node when you need historical state at older blocks for analytics, explorers, audits, or deep debugging. Archive costs more because storage and query load grow fast.

If you ask for state at an older block height, many calls need archive data. Common examples include balance and contract state reads like eth_getBalance, eth_call, eth_getCode, and eth_getStorageAt when you pass an older block tag or block number. This is where pruned nodes often fail or time out.

It depends on the execution client and how you want to expose the endpoint. On dedicated servers you control which modules you enable. Many teams run a separate debug node so trace workloads do not impact production RPC. If you need tracing, plan extra CPU, RAM, and archive-grade storage headroom.

Yes. Post-Merge Ethereum runs as a paired stack: one execution client plus one consensus client. You can choose the combination your team prefers, and we install the required clients on request. If you are unsure, choose a widely used stack and size your server around NVMe and RAM first.

Yes, when your selected clients support them and you enable the interfaces in your config. HTTP/HTTPS fits standard request and response calls. WebSockets fit real-time subscriptions and event-driven apps. For production, keep endpoints private by default and publish only what your app needs.

We provision from current snapshots, so a full node is typically live and serving in hours rather than syncing from genesis for days. Archive sync takes longer because it stores far more historical state. Disk performance and storage headroom matter most: NVMe reduces bottlenecks during database writes, and more RAM helps caching.

Yes. You can scale CPU, RAM, storage, and network as your traffic and state grow. This matters because Ethereum storage expands over time and query load increases with product usage. If you plan growth, start with NVMe headroom and leave room for RAM upgrades.

Mainnet uses Chain ID 1 with ETH as the native token, ~12 second blocks, and Proof of Stake consensus. We also run the Sepolia testnet (Chain ID 11155111), recommended for dApp development, and the Holesky testnet (Chain ID 17000) for staking and infrastructure testing. Each is a dedicated node you control, not a shared faucet endpoint.

Shared and public endpoints cap eth_getLogs (commonly 2,000 to 10,000 blocks per request, with a 10,000 result limit) to protect pooled infrastructure. On your own dedicated node you set those limits, sized by the CPU, RAM, and NVMe you choose, so you can widen ranges to match your indexing job. For very large backfills, paginate the block range or run reads against a dedicated archive node.

Archive nodes expose debug_traceTransaction and trace_replayTransaction so you can replay execution and find the exact revert reason. We enable the debug and trace namespaces on request, and can run a separate trace node so heavy tracing workloads never slow your production RPC.

Any standard Ethereum JSON-RPC tooling works unchanged: Web3.js, ethers.js, viem, and web3.py, plus frameworks like Hardhat, Foundry, Truffle, and Remix. Point your provider at the private RPC URL we give you. Because it is a standard Ethereum node, nothing about your existing tooling has to change.

No. Unlike shared RPC providers that bill per "compute unit" and throttle you past a quota, a dedicated node is a flat monthly price with unlimited requests and zero overages. One node equals all the throughput your hardware can serve. That makes budgeting predictable and removes the surprise bills that come with usage-based RPC pricing.

Shared RPC pools serve thousands of customers from pooled infrastructure, so you inherit rate limits, noisy-neighbor latency, and compute-unit billing. A RedSwitches node runs on single-tenant bare metal that is yours alone: reserved CPU, RAM, and NVMe, a dedicated 10/25 Gbps port, and a private endpoint you control. Performance tracks your hardware, not another tenant's traffic.

No. We provision from current snapshots so your node is live in hours rather than syncing from genesis for days. You can run it yourself with full root access, or choose our fully managed option where our engineers handle the sync, updates, and monitoring. Either way you receive a working private endpoint, not an empty server.

Yes. With 20+ Tier III locations across the US, EU, Asia, and Australia you can place your node in the same region as your users or a chain's sequencer to cut round-trip latency. Tell us your target region and we will recommend the closest facility. You can also run multi-region nodes for redundancy and split read and write endpoints.