Dedicated Optimism (OP Mainnet) RPC Node Servers

A Dedicated Optimism RPC Node is a private OP Mainnet node that serves your applications over JSON-RPC and WebSockets. You get single-tenant CPU, RAM, and storage, so your performance does not depend on a shared pool. You need it when reliability affects revenue, user trust, or operations. Typical buyers include wallets, exchanges, DeFi bots, indexers, explorers, analytics teams, and apps that run high-QPS reads or constant WebSocket subscriptions. [Image of Optimism RPC node interaction with dApps]

Public endpoints and shared plans protect themselves with rate limits, throttling, and aggressive traffic shaping. That is fine for testing. It breaks down in production when your traffic spikes, your indexer backfills, or your app suddenly gets featured. A dedicated optimism RPC scales with hardware. You add cores, RAM cache, and NVMe IOPS instead of fighting shared quotas. You also control access, so bots and random traffic do not consume capacity meant for your users.

Yes. We offer full RPC for most production workloads, archive RPC for deep history and heavy analytics, and an Optimism dedicated node cluster for teams that need higher availability and read scaling. Full RPC is the practical baseline for most apps. Archive becomes important when you need long-range state calls, deep history, or complex analytics workloads. Cluster designs are useful when you want replicas for regional reads, redundancy, and failover planning.

Full RPC needs strong CPU clocks, enough RAM to cache frequently used state, and NVMe for fast state reads. Archive RPC needs more of everything, especially storage, because history is large and keeps growing. We size around your optimism node requirements using three inputs: expected QPS, your heaviest RPC methods, and whether you run indexers or WebSocket subscriptions. We also leave headroom so you do not hit resource ceilings during growth or backfills. [Image of Optimism OP Stack node components]

Yes. Our Dedicated Optimism RPC Node Servers support standard HTTP JSON-RPC for reads and transaction submission. We also support WebSocket RPC for subscriptions and real-time event streams. WebSockets matter for trading systems, monitoring dashboards, bots, and apps that need live logs. If you want the endpoint private only, we can keep both HTTP and WebSockets restricted to your allowlisted IPs.

WebSockets fail in shared environments for boring reasons. Too many connections, noisy traffic, and rate shaping cause subscription drops. We keep WebSockets stable by giving you dedicated capacity and helping you control access. You can restrict who can connect, cap connection counts per client, and keep the endpoint private. When traffic rises, you scale the server or add read replicas, so subscriptions stay stable instead of fighting shared pool congestion.

OP Mainnet is a Layer 2, but it depends on Ethereum L1 to derive and verify the chain. You typically need an L1 execution RPC and an L1 Beacon endpoint. If those upstream inputs are weak, your OP node can lag or stall, and it looks like an OP RPC problem. We help you set the wiring correctly and validate upstream quality. This prevents head lag and sync instability that show up as random timeouts and stale reads. [Image of Optimism rollup architecture with L1 and L2 relationship]

Yes. As your optimism RPC provider, we can keep the endpoint private by default and expose it only to allowlisted IPs. You can also enforce strict firewall rules and open only the ports you need. If you run multiple internal services, you can place a reverse proxy in front for controlled exposure and internal policies. This keeps your RPC capacity reserved for your product, not for the public internet.

DDoS protection is included to keep your endpoint reachable during floods and bot traffic. We handle upstream filtering and network-level mitigation. You control host-level rules like firewall policies, allowlists, and port exposure. This split matters because no single layer is enough. Upstream filtering keeps the pipe clean, while your access controls ensure only trusted clients use the RPC you pay for.

All plans include a 99.99% uptime SLA for the underlying infrastructure. Application behavior can still be affected by upstream L1 inputs, software changes, or your own traffic patterns. If you choose managed service, we also handle day-to-day operations that reduce downtime risk, like monitoring, updates, and incident response.

Provisioning is fast, often around 10 minutes. Sync time depends on node type, storage speed, region, and upstream L1 quality. Full RPC usually becomes usable sooner than archive because archive workloads require far more data. We also plan deployment around sync time, so you know what “ready” means for your use case. If you share your region and target node type, we can recommend the fastest path to production.

Yes, and that is a common path. Many teams start with full RPC to serve product traffic, then move to archive when they need deep history, compliance reporting, long-range analytics, or older state calls. We plan storage and headroom early, so the upgrade does not become a rebuild under pressure. If your roadmap suggests archive later, we size the initial server with that path in mind.

Yes. We offer fully managed and unmanaged services. Managed service covers setup, hardening, monitoring, updates, and incident handling. Unmanaged gives you full control when your team prefers to run everything in-house. Both options include free 24/7 technical support. The difference is who owns day-to-day operations, not whether you get dedicated infrastructure.

Unmanaged plans include full root access and recovery controls like KVM and IPMI. That means you can reboot, reinstall, mount ISO, and recover from misconfigurations without waiting on a platform layer. This is useful for DevOps teams that want complete control over OS hardening, monitoring agents, and upgrade workflows.

We support crypto payments and 20+ payment methods. This helps global teams move fast through procurement and avoid payment friction across regions. If you need invoicing, recurring billing alignment, or custom terms at scale, our team can structure billing that matches your deployment model and environment needs.