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Independent validator infrastructure

Resilient Validator
for Modern Chains

We operate validators and turn network activity into
useful intelligence for the ecosystems we support.

Trusted by leading projects

Supported ecosystems

Find your network.
Explore our work.

Direct routes to our validator profiles and network infrastructure. Current status, commission and delegation terms are available in each network’s explorer.

Network intelligence

From network activity
to a clearer picture.

We build analytics that make validator performance understandable: what happened, who was affected and how behavior compares across the network.

Built by Chain Digital

ChainSignals

Understand the network.
See the signal.

Execution reports, cohort comparisons and participation analysis that help protocol teams, validators and delegators spot abnormal patterns. A common analytical approach, adapted to each network’s consensus and available data.

Validator intelligenceNetwork reportsPublic analytics
Explore live deployment ↗Explore the source ↗
CHAINSIGNALS
BLOCK EXECUTION / OBSERVED WINDOWInspect missed blocksWINDOW STARTWINDOW END
FIND THE EXCEPTION

Trace missed blocks back to the observed window.

COHORT COMPARISON / NORMALIZED VIEWCOHORT ACOHORT BCOHORT C
COMPARE LIKE WITH LIKE

Read execution in the context of assigned workload.

Who is participating?

Each row is a validator. Each square is an observed block.

SignedMissed
Earlier blocksLater blocks →
!

Validator D needs a closer look.
A run of missed blocks stands out from isolated misses.

READ PARTICIPATION AT A GLANCE

Compare consistency, identify gaps and investigate outliers.

A local issue or a network event?

Compare the timing of missed blocks across validators.

Missed-block burstsParticipation dropsCorrelated gaps
SPOT A PATTERN. INVESTIGATE THE CAUSE.

Aligned gaps suggest a shared event; correlation alone does not establish its cause.

ANONYMOUS NETWORKILLUSTRATIVE PRODUCT PREVIEW

Execution quality

Track assigned, processed and missed blocks. Understand workload, signing consistency and exceptions within a clearly defined observation window.

Validator context

Compare participation, voting power and cohort behavior. Separate individual outliers from patterns shared by the broader validator set.

Network readiness

Turn protocol changes into operator context: upgrade milestones, version alignment and actions that prepare infrastructure for the next network phase.

The report library

Reports that make
networks readable.

Three complementary views of validator behavior. Designed to help protocol teams assess execution, compare operators and understand participation across a network.

Illustrative anonymous Weekly Validator Performance Report with synthetic dataView example ↗
EXECUTION

Weekly Validator Performance Report

See how reliably validators execute their assigned work. Processing rates, workload leaders and missed-block exceptions put performance in context.

  • Processing rates
  • Observed block windows
  • Validator comparisons
Open implemented report ↗
Illustrative anonymous Cohort Performance Analysis with synthetic dataView example ↗
COMPARISON

Cohort Performance Analysis

Compare groups of validators against their assigned workload. Identify execution differences and missed-block patterns across delegation cohorts or operator groups.

  • Assigned vs. processed
  • Cohort breakdowns
  • Normalized comparisons
Open implemented report ↗
Illustrative anonymous Validator Network Proximity with synthetic dataView example ↗
PARTICIPATION

Validator Network Proximity

Understand how participation is distributed across the validator set. Uptime bands and behavioral similarity reveal a strong core, outliers and areas for investigation.

  • Uptime distributions
  • Participation patterns
  • Behavioral context
Open implemented report ↗
Anonymous previews use illustrative data. Linked reports show an implemented network deployment, its actual sources and observation windows.Explore ChainSignals ↗
Security & infrastructure

Security at every layer.
Resilience by design.

Our operating model combines dedicated hardware, isolated signing, controlled network access and continuous observability. Each layer has a clear role, boundary and recovery procedure.

Dedicated bare metalPrivate management networkIsolated signing24/7 monitoring
TMKMS / Remote signing

Consensus on the node.
Keys with the signer.

The validator requests a signature. TMKMS checks the signing state and returns the signature through a protected connection.

PUBLIC EDGE

Network peers

Sentries filter connections
before the validator.

PRIVATE NETWORK

Validator

Runs consensus.
Requests signing.

No consensus key here
Sign request
Signature only
Authenticated
private connection
ISOLATED SIGNING HOST

TMKMS

  • Checks chain & message
  • Tracks last signing state
  • Rejects conflicting requests
Key backendConsensus key stays here

One active signerControlled handover verifies the latest signing state before a standby is activated.

Private key stays isolatedThe validator receives a signature, not the signing key.

Reference flow for compatible Tendermint / CometBFT networks. Signing backend depends on deployment.TMKMS architecture ↗
HARDWAREDedicated CPU, NVMe and network capacity

Dedicated capacity

Bare-metal infrastructure with high-performance CPUs, NVMe storage and capacity planned around consensus workloads. Performance checks inform upgrades and configuration changes.

Bare metal / NVMe / Benchmarking
NETWORKPublic peers pass through access filtering to a private validator

Restrict the attack surface

Sentry and private-network patterns separate public peers from sensitive workloads where supported. VPN access, firewall allowlists and hardened SSH keep management access controlled.

Sentries / VPN / Access control
KEYSIsolated key backend returns a signature to the validator

Protect consensus signing

Isolated remote signing with TMKMS where supported, restricted signer access and hardware wallets for administrative operations. Failover verifies signing state before a standby is activated.

Key isolation / KMS / Signing state
OBSERVABILITYTelemetry trace detects a deviation and routes an alert

See issues early

Prometheus and Grafana track consensus, signing latency, peers and host resources. Automated alerts and on-call coverage turn deviations into investigation and response.

Prometheus / Grafana / Alerting
CHANGE CONTROLVersioned configuration passes staging before release

Make changes repeatable

Ansible and Terraform support reproducible environments. Versioned configurations, isolated builds and staged upgrades make deployment and recovery easier to inspect.

Infrastructure as code / Staging
RECOVERYBackup is restored and checked before validator recovery

Recover with discipline

Validated backups, restore exercises and documented runbooks support recovery. Synchronization and signing-state checks come before validation resumes.

Backups / Restore tests / Runbooks
A few useful answers

Before you
get started.

What does Chain Digital do?↓

We operate validators and build public infrastructure, analytics, documentation and tooling for blockchain ecosystems.

What can I explore in ChainSignals?↓

Validator execution, cohort comparisons, participation distributions and network-readiness context. The framework adapts to each network’s consensus and available data. The linked deployment shows actual reports, sources and observation periods.

How do I delegate to a validator?↓

Open a validator profile in the network directory, verify the complete address and current status, review commission and protocol rules, then complete delegation through the network’s wallet or staking interface.

Where are the open tools and guides?↓

Browse our GitHub repositories, operator documentation and Celestia access resources.

Let’s build useful infrastructure

Your network.
Our engineering focus.

Talk to us about validator operations,
ecosystem tooling or technical collaboration.

Contact Chain Digital ↗