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How to migrate from self-hosted nodes to dedicated infrastructure

Author: Uttam Singh

Last updated: July 15, 20266 min read
Migrate from self-hosted nodes to dedicated infrastructure

Running blockchain nodes in-house comes with a workload that only grows. Every chain you support adds its own upgrades to track, storage to expand, and sync issues to catch, and the engineers doing that work are the same ones who should be building your product. At some point the maintenance costs more engineering time than it returns. Managed dedicated infrastructure is the way out that does not sacrifice control: single-tenant clusters we run for you, with the same customization, isolation, and regional placement you self-host for today.

The migration itself is simpler than most teams expect. Because a dedicated cluster runs the same APIs your application already calls, moving to it is fundamentally an endpoint swap, not a rebuild. This guide covers why teams leave self-hosting, what they keep, how the switch actually works, and how to tell whether it is the right move for you at all.

Why teams move off self-hosted nodes

Running your own nodes is rarely one big failure. It is a steady accumulation of small ones, and each tends to reach your users before it reaches you. Three of them drive most migrations.

The first is falling behind the chain tip. A self-hosted node that loses sync keeps answering requests, just with stale data. Your users see balances that are minutes old, transactions that already confirmed but do not appear, and lookups that fail for no reason they can act on. Support tickets follow, and so does the quiet erosion of trust that comes from an app that is occasionally, unpredictably wrong. This is the most common self-hosting failure and the hardest to catch from the inside, because the node looks healthy while it serves bad answers.

The second is keeping up with client upgrades, across every chain you run. Each network sets its own upgrade cadence and announces it on its own channel, some on GitHub, others in docs, Discord, Telegram, or a private partner Slack, with no standard place to watch. Staying current means monitoring dozens of independent ecosystems, which across a multi-chain setup adds up to dozens of upgrades a week. Miss one and it is not a degraded experience, it is downtime: the node falls behind, requests start failing, and customer transactions break. Ethereum's Fusaka upgrade landed three changes in about five weeks in late 2025, and that is a single chain. Multiply it across every chain your application supports and keeping infrastructure healthy stops being "running a node" and becomes a full-time job.

The third is storage that never stops growing. An Ethereum archive node already needs multiple terabytes of fast NVMe storage, and that footprint only climbs over time. Capacity planning is not a one-time setup, it is an ongoing operational responsibility, and when storage runs out the node can no longer sync or serve fresh chain data.

Here is the same picture at a glance, with how often each one bites and what changes once the nodes are managed:

What slips on self-hosted
How often
What it costs you
How Dedicated Clusters prevents it

Nodes fall behind the chain tip

The most common self-host failure

Users see stale balances and missing transactions; support tickets climb and trust erodes

Redundant nodes, routing that sends traffic to healthy nodes, and a consistency manager keep every read block-perfect and prevent stale reads

A mandatory client upgrade gets missed

Dozens of upgrades across chains every week

Downtime: the node falls behind and requests start failing

We run and upgrade the clients, so the upgrade calendar is never your problem

Archive storage outgrows the disk

Grows continuously unless monitored

A full disk crashes the node and takes the app down

We provision and scale the hardware for you

Peers drop, memory leaks, CPU spikes

Intermittent, and always at the wrong hour

Latency spikes and flaky errors degrade UX, and someone is permanently on call

Fully managed and monitored, sized to your workload, automatic failover to shared infrastructure

What you keep, and what you hand off

Teams self-host for real reasons, and a managed cluster is only worth it if you keep them. You do.

  • Custom tracers and binaries. Run your own logic directly on the nodes, the same as security and forensics teams and anyone doing custom simulation or indexing.
  • Custom hardware. The cluster is sized and configured to your workload.
  • Single-tenant isolation. SOC 2 Type II infrastructure with full environment isolation, the requirement that pushes most regulated and financial teams to run their own nodes in the first place.
  • Regional placement. Clusters deploy close to your stack and your users, which is the difference that matters for latency-sensitive trading and real-time workloads.

What you hand off is the operations: redundancy, block-perfect consistency across every node, client upgrades, hardware scaling, and monitoring, all managed, with real-time Grafana dashboards so you still see everything without running any of it. That is the whole trade: the control you self-host for, without the rotation that comes with it.

How does the migration work?

Because dedicated clusters expose the same APIs as our shared Node RPC, the migration is mostly configuration, not code. You point your application at the cluster's endpoint, and the request patterns you already use keep working. There is no SDK to swap and no request shapes to rewrite.

It starts with sizing. You share your traffic numbers and we provision the cluster to your real peaks rather than a guess. Because we run the nodes, capacity planning stops being your job from day one.

From there, most teams run the new cluster alongside their existing nodes for a short window, compare the two, and shift traffic over once they are satisfied. Your own nodes stay live as a fallback until you decide to turn them off, and automatic failover to our shared fleet sits under the whole process, so no single moment depends on the switch. In practice this is days of calendar time, not the weeks of full-time effort teams often brace for.

Afterward, you reclaim the hardware, retire the on-call rotation, and stop tracking client upgrades. Some teams keep one node running as an independent reference; most find they do not need to. Check out this detailed article to learn how dedicated blockchain infrastructure works.

Is dedicated infrastructure right for you?

Dedicated is not an upgrade everyone should want. If your workload runs comfortably on a managed shared plan, that is the better place to be: it is elastic, you pay for what you use, and scaling is someone else's problem without committing to provisioned capacity. The teams who benefit from dedicated are the ones with a specific, durable reason: custom execution, single-tenant isolation, a region you cannot otherwise reach, or sustained volume that makes provisioned capacity the more economical shape.

If you are not sure which describes you, our guide to choosing between Node RPC and Dedicated Clusters walks through the decision honestly. The goal is the right infrastructure, not the biggest.

Ready to move off self-hosted nodes?

Dedicated Clusters give you single-tenant control without the operations: custom tracers, binaries, and hardware, block-perfect consistency, and automatic failover to the same shared fleet that delivered 99.99% uptime through the largest liquidation event in crypto. Check out the Dedicated Clusters launch announcement for more detailed information.

Talk to our Dedicated Clusters team with your workload, or bring the traffic numbers from your current setup and we will size the cluster for you. You keep the APIs you already build against, we run the nodes, and failover to shared infrastructure is there from day one.

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