Infrastructure built
for performance.

Nuviotech helps technology companies design, deploy and operate scalable infrastructure across cloud and bare metal.

We manage Kubernetes, Terraform, databases, private networking and dedicated infrastructure to improve performance, reliability and cost efficiency.

From architecture to production, we build infrastructure that supports real workloads and real growth.

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Cloud & baremetalKubernetes & DevOpsInfrastructure security24/7 operationsBlockchain infrastructure
nuvio · infra.control
live
ready
Node uptime · 30d
99.994%+0.02
RPC p95 latency
42ms-6ms
Blocks indexed / s
47+12
RPC requests / sec
12,847▲ live
Pipeline · main #240
passing
  • build1m 24s
  • test2m 08s
  • scan48s
  • deploy36s
Ops stream ·
streaming
--:--:--[deploy]rpc-fleet v2.14.1 → cluster-02 · 100% healthy
--:--:--[scale ]hpa · rpc-gateway 4 → 7 replicas (cpu 71%)
--:--:--[alert ]latency spike resolved · 218ms → 44ms · 12s
--:--:--[patch ]cve-2026-0142 · rolled to 34/34 nodes · no downtime
--:--:--[build ]commit 8f2a1c · ci green · 3m 52s

Platforms we run in production

Cloud and baremetal

A Postgres primary, a stateless API and a nightly Spark job want different disks, different memory and different network. Placement is a decision we argue about, not a default.

Workload requirements

High compute
Large memory footprints
NVMe intensive storage
Heavy databases
Low latency
Large bandwidth requirements
Continuous workloads
Global availability

Capabilities

Cloud architectureBaremetalHybrid cloudKubernetesInfrastructure as CodeNetworkingHigh performance storageDatabase architectureObservabilityMigrationFinOps

No preferred vendor. We have moved Postgres onto RDS for the operational relief, and pulled storage heavy nodes off cloud when egress and NVMe pricing made it indefensible.

Cloud infrastructure

Security

Most incidents we are called into start below the app: an admin panel on a public IP, a static key from 2023, a flat VPC where every pod can reach the database. We work on that layer.

Identity and access

SSO, short lived credentials, per environment RBAC and break glass accounts that are logged and alerted on when used.

Secrets and keys

Vault or cloud KMS, HSM backed signing keys where it matters, and rotation that runs on a schedule instead of after an incident.

Network segmentation

Private subnets, security groups and Kubernetes network policies, so a compromised pod cannot reach the database or the node hosts.

Edge and DDoS

Cloudflare or provider scrubbing in front of public APIs and RPC endpoints, with WAF rules and per key rate limits at the gateway.

Host and cluster hardening

CIS aligned OS baselines, image scanning, admission policies, SSH behind a bastion or identity aware proxy, patching windows that are actually kept.

Detection and response

Audit logs, Falco or eBPF based runtime detection, alert routing that pages a human, and runbooks written before the first incident.

Backup and recovery

Offsite and immutable copies, restore drills with a measured recovery time, not a retention policy nobody has tested.

Cybersecurity capabilities

What sits under your product

Anycast edge, load balancers, ingress, cluster and node pools, databases and object storage, metrics and logs. Every layer here is one we build and keep running.

01Onchain application
Products, wallets, platforms and services built onchain
02RPC / API / Indexer
Request routing, endpoints, data access and blockchain APIs
03Blockchain services
Nodes, validators, archives, mempool and chain clients
04Kubernetes / platform
Orchestration, GitOps, autoscaling, release engineering
05Cloud + baremetal
Compute, NVMe storage, high memory systems, hybrid capacity
06Network + storage
Peering, DDoS protection, private links, throughput and latency
07Global infrastructure
Multi region datacenters and cloud availability zones

Blockchain infrastructure

Same engineering, harder constraints. A node that is catching up should not also be answering user traffic, so sync, serving and indexing get split early.

Dedicated nodes

Nodes on isolated compute, with sync and serving roles separated so a resync never degrades live traffic.

RPC infrastructure

Gateways, method level rate limiting, caching and isolated node pools per endpoint class.

Validator infrastructure

Key handling, sentry topology, upgrade rehearsal on testnet and monitoring built around missed duties.

Blockchain indexers

Continuous ingestion kept away from analytical queries, so a heavy report does not stall the indexer.

Blockchain data infrastructure

Kafka for ingestion, ClickHouse for analytics, PostgreSQL for state, sized against real storage growth.

Baremetal for blockchain

NVMe with endurance headroom for compaction, large memory hosts and private networking between roles.

Multi region architecture

Regional node pools with routed failover, added when the latency or failure profile justifies the extra surface.

Managed blockchain operations

Client upgrades, fork preparation, disk growth, incident response and the on call rotation behind it.

NetworksEthereumSolanaAvalanchePolygonCosmosand other blockchain networks
Blockchain infrastructure

Trade-offs

Nothing wins on every axis. These are the conversations we have before an architecture is signed off.

ChoiceWhat you gainWhat it costs you
BaremetalPredictable IO and no noisy neighbours, which is what heavy databases and archive nodes actually need.Provisioning takes days, not minutes, and capacity has to be planned rather than autoscaled.
KubernetesGood fit for stateless services, APIs and anything that scales sideways.A platform of its own to run. We rarely move databases or validators onto it just for consistency.
Multi regionSurvives losing a region and puts latency closer to users.Replication traffic, egress and a second set of things that can drift out of sync.
Dedicated RPCControl over rate limits, method filtering, cache behaviour and who your neighbours are.You own node lifecycle: upgrades, resyncs, forks and disk growth.

Who we work with

SaaS platforms

Teams whose product went from a few servers to a platform nobody fully owns. We take over the layer under the app.

Data heavy products

Pipelines and analytical stores that grow faster than the budget. Storage tiers and query paths get separated before it hurts.

Security and regtech

Companies that need segmentation, auditable access and recovery paths documented, not just claimed.

Engineering teams without an SRE

Developers shipping fast with nobody owning Kubernetes, IaC or the pager. We fill that seat.

Blockchain protocols and apps

Nodes, validators, RPC and indexing, where sync work is kept off the path that serves users.

Fintech and digital assets

Regulated workloads that need private networking, key handling and an honest recovery test.

Opinions

Things we tend to argue for, and why.

Kubernetes is useful, but we do not put every blockchain workload on it. A validator with a single writer and a strict key handling story gains very little from an orchestrator, and inherits its failure modes.
On platform engineeringRead more
Storage is usually the first thing to break on a blockchain data platform. Not CPU, not bandwidth. Compaction and random reads decide whether a node keeps up with the head of the chain.
On node infrastructureRead more
Multi-cloud is not automatically more resilient. Two providers means two control planes, two IAM models and two ways to be wrong, for a failure mode that rarely happens.
On resilienceRead more
The controls that make sense for a public API gateway are not the controls a validator needs. One is about abuse and rate limiting, the other about key custody and a very short list of people.
On securityRead more

How we work

We design it, we deploy it, we migrate onto it, then we keep it running with your team. The same engineers stay on the account, which is why the designs stay operable.

We run what we build

Designs that are painful to operate get rejected early, because the same engineers carry the pager afterwards.

No vendor religion

Cloud, baremetal or both. The workload decides, and we write down why.

Security is structural

Segmentation, access control and recovery are part of the architecture, not a hardening sprint at the end.

Deep where it is rare

Blockchain nodes, validators and indexing are a genuine specialization, not a line on a slide.

What we build with

Tools we have run long enough to know where each one gets annoying: ArgoCD drift, Terraform state, ClickHouse merges, Cilium upgrades.

Cloud and baremetal

  • AWS, GCP, Azure
  • OVHcloud, Latitude
  • Colocation and dedicated hosts

Security

  • Vault, cloud KMS
  • Cloudflare, WAF
  • OIDC and SSO
  • Falco, audit pipelines

Blockchain

  • Geth, Nethermind, Reth
  • Solana, Avalanche, Cosmos SDK
  • Erigon and archive nodes
  • Subgraphs and custom indexers

Platform

  • Kubernetes, Helm, ArgoCD
  • Terraform, Ansible
  • GitHub Actions, GitLab CI
  • Cilium, Istio

Data and observability

  • PostgreSQL, ClickHouse
  • Kafka, Redis
  • Prometheus, Grafana, Loki
  • OpenTelemetry

Partner programs

We are not resellers. Nothing here pays us a commission, so the choice comes down to the workload.

Technology ecosystem

How an engagement runs

01

Discovery

We read the current setup: traffic shape, storage growth, who has access, what breaks at 3am, what it costs.

02

Architecture

A target design with the trade-offs written next to each decision, so nobody inherits a choice without its reason.

03

Deploy

Everything in code. If it was clicked once in a console, it gets rebuilt properly before it counts as done.

04

Migrate

Cutovers rehearsed first, with a rollback that has actually been tested, not a paragraph in a runbook.

05

Operate

Monitoring, upgrades, capacity and incidents, with your team in the same channel as ours.

Our stack

Blockchain

Cloud & baremetal

Platform engineering

Security

Data

Observability

What we bring

Multi region architectures

Cloud and baremetal

Segmented by default

Managed operations

Written decisions

Writing

Blockchain Infrastructure

What Is Blockchain Infrastructure?

Nodes, RPC endpoints, indexers, storage and networking. A plain explanation of the layers that sit under every onchain application.

Read Node Architecture

How Blockchain Nodes Work

Peer discovery, block validation, state storage and the operational reality of keeping a node healthy in production.

Read Node Architecture

Full Node vs Archive Node

The difference is not academic. It changes your storage bill, your sync time and the queries your product can answer.

Read
Latest engineering noteChoosing NVMe for Blockchain DatabasesSeptember 15, 2026
All insights

Documentation from the teams who operate it

Guides, reference architectures, engineering notes, network documentation, comparisons and a glossary, maintained by our engineers.

Technical guides

8

End to end references on infrastructure, security and data.

Browse

Reference architectures

10

Designs with components, data flow and failure scenarios.

Browse

Engineering notes

10

Short notes on the decisions we make repeatedly.

Browse

Technology directory

24

What we run in production and where it fits.

Browse

Network documentation

5

Infrastructure requirements network by network.

Browse

Glossary and answers

51

Terms defined and questions answered plainly.

Browse
All resourcesSearch the platform

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