Node, RPC and indexing infrastructure that stays online.
BitAzure deploys and operates the layer between your applications and the chain: full and archive nodes, validators with isolated signing, load-balanced RPC endpoints, indexers and the observability that keeps all of it accountable.
- Full, archive and light node operations
- Validator clusters with HSM key management and failover
- Load-balanced RPC with caching and health checks
- Indexers, explorers and observability stacks
What is blockchain infrastructure?
Blockchain infrastructure is the set of nodes, validators, RPC endpoints, indexers and supporting systems that connect applications to a distributed ledger and keep that connection fast, correct and available. It includes the servers that hold chain state, the services that answer queries, the pipelines that turn raw blocks into usable data and the monitoring that tells operators when any of it drifts.
BitAzure designs, deploys and operates this layer for exchanges, wallets, protocols and enterprises that cannot depend on a single public endpoint. We run full and archive nodes across EVM chains, Solana, Bitcoin and Cosmos networks, operate validators with hardware-backed signing, and build RPC clusters that route around unhealthy nodes without the application noticing.
The engagement is defined by service levels rather than servers: agreed targets for endpoint availability, block lag and query latency, dashboards and alerts that show whether those targets are being met, and runbooks that describe what happens when they are not.
Blockchain infrastructure services
Every component is delivered as infrastructure as code with monitoring, documentation and an operating procedure, whether we run it or hand it over.
Node Operations
- Full, archive and light node deployment across EVM, Solana, Bitcoin and Cosmos
- Client diversity and version pinning per network
- Sync strategies from snapshot, checkpoint or genesis
- Peer management, bandwidth shaping and NAT configuration
- Node health scoring by block lag, peer count and disk pressure
Validator Operations
- Validator provisioning with HSM or remote-signer key management
- Active-passive failover with double-sign protection
- Sentry node topologies that shield validators from public traffic
- Key rotation, ceremony documentation and access controls
- Uptime and missed-block alerting per validator
RPC Clusters
- Load-balanced JSON-RPC and WebSocket endpoints
- Method-aware caching for immutable responses
- Health checks that eject lagging or forked nodes
- Rate limiting, API keys and per-tenant quotas
- Archive routing for historical state queries
- Policy-controlled fallback to third-party providers
Indexing & Data Services
- Custom indexers and event pipelines with reorg handling
- Block explorers for public and permissioned networks
- Trace and receipt extraction into PostgreSQL or ClickHouse
- Backfill jobs and consistency verification
- GraphQL and REST APIs over indexed data
Resilience & Topology
- Scheduled snapshots and pruning policies per node role
- Disaster recovery with tested restore procedures
- Multi-cloud deployments across AWS, Azure and Google Cloud
- Bare-metal topologies for storage-heavy archive workloads
- Region-aware placement and GeoDNS or anycast routing
Observability & Lifecycle
- Metrics, logs and alerts with Prometheus, Grafana and Loki
- Protocol upgrade and hard-fork management with rehearsals
- Capacity planning and cost optimisation for RPC and storage
- Runbooks, on-call rotation and incident reviews
- Compliance evidence: access logs and change records
Reference node and data infrastructure
Applications reach the chain through a load balancer that fronts pools of full and archive nodes. Validators sit behind sentries with isolated signing, and an indexer turns chain events into queryable data. Every component reports into one monitoring stack.
Hover or focus a component to see its role in the architecture.
- Applications (Wallets · exchanges · dApps): Product backends and front-ends that read chain state and broadcast transactions.
- RPC Load Balancer (Health checks · caching): Routes JSON-RPC and WebSocket traffic to healthy nodes, caches immutable responses and enforces quotas.
- Remote Signer (HSM · double-sign guard): Holds validator keys outside the validator host and refuses conflicting signatures.
- Full Node Pool (Multi-client · multi-region): Serves current state, transaction broadcast and recent history.
- Archive Node Pool (Historical state): Answers historical state and trace queries that full nodes cannot.
- Validators (Sentry-protected): Consensus participants reachable only through sentry nodes and private peering.
- Indexer (Reorg-aware pipeline): Ingests blocks, logs and traces, rewinds on reorgs and backfills gaps.
- Data Stores (PostgreSQL · ClickHouse): Indexed data for explorers, analytics and application APIs.
- Monitoring (Prometheus · Grafana · alerts): Block lag, peer health, latency percentiles and validator duties with paging thresholds.
Node layer
- Full & archive nodes
- Validators & signers
- Light clients
Access layer
- RPC load balancing
- Caching & rate limits
- Failover routing
Data layer
- Indexers & pipelines
- Explorers
- Query APIs
Operations
- Metrics, logs, alerts
- Snapshots & DR
- Upgrade management
Where dedicated blockchain infrastructure matters
Exchange and wallet backends
Dedicated RPC capacity with predictable latency for balance reads, broadcast and confirmation tracking.
Protocol validator programmes
Validator operations for foundations and staking providers that need signing isolation and failover.
Data products and analytics
Archive nodes and indexers feeding explorers, dashboards and research pipelines.
Permissioned enterprise networks
Node fleets, explorers and access controls for consortium chains.
RPC provider independence
Self-hosted endpoints that remove single-vendor dependence and rate-limit surprises.
Layer 2 and app-chain operations
Sequencer, prover and node infrastructure for rollups and application-specific chains.
Why teams run infrastructure with BitAzure
Service-level driven
Availability, block lag and latency targets are defined up front and measured continuously.
Multi-chain operations
One operating model across EVM, Solana, Bitcoin and Cosmos node software.
Infrastructure as code
Terraform and Kubernetes manifests reproduce every environment and are reviewed like application code.
Cost transparency
Storage, egress and compute are modelled per node role so spend tracks usage.
Upgrade discipline
Client releases and hard forks are rehearsed on staging before touching production.
Documented handover
Runbooks, dashboards and access procedures are delivered with the infrastructure.
Technologies we use for blockchain infrastructure
Kubernetes
InfrastructureAutoscaling, rolling deployments and workload isolation.
Terraform
InfrastructureInfrastructure as code with reviewable change plans.
Docker
InfrastructureReproducible builds and images across every environment.
AWS
InfrastructureEKS, RDS, KMS, CloudHSM and multi-region deployments.
Azure
InfrastructureAKS, Key Vault and enterprise identity integration.
Google Cloud
InfrastructureGKE, Cloud SQL and BigQuery-backed analytics.
Prometheus / Grafana
InfrastructureMetrics, dashboards and alerting for every service.
Go
BackendConcurrent network services, relayers and infrastructure daemons.
Rust
BackendMemory-safe, low-latency engines, on-chain programs and tooling.
PostgreSQL
DatabaseTransactional ledgers, ledgers-of-record and analytical workloads.
ClickHouse
DatabaseColumnar analytics for trade history and market data.
Kafka
DatabaseDurable event streaming between engines and services.
How we deliver infrastructure engagements
Every engagement follows a documented, milestone-driven path from discovery to continuous development.
- 01
Infrastructure assessment
Existing nodes, endpoints, traffic patterns and failure history are reviewed against product requirements.
- 02
Topology and capacity design
Node roles, regions, storage classes and network layout are specified together with a cost model.
- 03
Provisioning with IaC
Clusters, nodes, load balancers and secrets are provisioned from reviewed Terraform and Kubernetes code.
- 04
Sync, validation and cutover
Nodes are synced from verified snapshots, compared against reference endpoints and brought into rotation gradually.
- 05
Observability and runbooks
Dashboards, alert thresholds, escalation paths and recovery procedures are in place before go-live.
- 06
Managed operations
Upgrades, capacity changes and incident response continue under an agreed service model or a handover plan.
Security practices in infrastructure operations
Signing isolation
Validator keys live in HSMs or remote signers with double-sign protection and no interactive shell access.
Network segmentation
Sentry nodes, private peering and firewall policies keep validators off the public internet.
Least-privilege access
Role-based access, short-lived credentials and audited break-glass procedures for every environment.
Supply-chain controls
Client binaries are built from source or verified against signed releases and pinned per network.
Secrets management
API keys, certificates and node identities are stored in a secrets manager and rotated on schedule.
Tamper detection
Chain-head comparison across nodes and external providers flags forks, stalls and manipulated responses.
We coordinate independent third-party audits on request and never claim an audit, certification or compliance status unless it has actually been obtained.
What to decide before deploying nodes
Archive vs full nodes
Archive nodes need several times the storage; run them only for workloads that query historical state.
Self-hosted vs provider
Self-hosting gives control and predictable cost at scale; providers suit early stages and act as fallback.
Client diversity
Running more than one client implementation reduces correlated-bug risk but widens the operational surface.
Region strategy
Latency to users and peers, data residency and cloud pricing all influence where nodes should live.
Upgrade cadence
Networks ship frequent client releases; a rehearsal environment and rollback plan are essential.
Data retention
Indexed data grows without bound; define retention, partitioning and cold storage before it becomes a problem.
Blockchain Infrastructure questions
Node deployment and syncing, RPC load balancing, validator operations where required, indexing pipelines, monitoring and on-call response. Scope is agreed per network and documented in a service description.
Need reliable nodes, RPC or indexing?
Tell us which networks and workloads you run. We will propose a topology, a cost model and an operating plan.