Infrastructure Operations

Distributed Fleet Management: Control Thousands of Nodes from One Pane

Deploy policies in seconds, not hours. Monitor 10,000+ edge devices and nodes in real-time. Self-healing infrastructure with zero manual intervention.

Real-World Impact

MODEL: Global IoT Platform: 72% Ops Cost Reduction

8,500 edge devices | 47 countries | 30-second policy propagation | 85% reduction in manual intervention

Before Expanso

Manual Configuration Management

Monthly Ops Cost $184,000
DevOps Team: $144,000 Downtime Costs: $25,500 Monitoring Tools: $8,500 Emergency Support: $6,000 Total: $184,000
Update Deployment 4-6 hours
Manual Interventions 340/month
Mean Time to Recovery 47 minutes
After Expanso

Automated Fleet Orchestration

Monthly Ops Cost $51,500
DevOps Team: $54,000 Downtime Costs: $1,750 Monitoring: $3,250 Emergency Support: $3,000 Total: $62,000
Update Deployment <30 seconds
Manual Interventions 50/month
Mean Time to Recovery 4 minutes
$1,464,000/year
Total Annual Savings (72% ops cost reduction, 85% fewer manual interventions, 12× faster deployments)
The Challenge

Managing Distributed Infrastructure Is Operationally Expensive

🔧

Manual Configuration Hell

Every update requires touching thousands of nodes. Configuration drift creates unpredictable failures.

Slow, Brittle Deployments

Updating 8,500 edge devices takes 4-6 hours using Ansible/Chef. Rolling back a bad config requires manual intervention per node.

Average deployment time: 4-6 hours for 10K+ nodes

Configuration Drift

Nodes fall out of sync over time. No single source of truth. Teams spend hours debugging 'why does this work here but not there?'

15-30% of nodes drift from intended state within 90 days
👁️

Limited Visibility

Can't see what's happening across thousands of distributed nodes in real-time.

Monitoring Blind Spots

Centralized monitoring tools struggle with edge locations. Telemetry gaps mean failures go undetected until customers complain.

Average detection time: 23 minutes for edge failures

No Fleet-Wide Intelligence

Teams monitor individual nodes, not fleet health patterns. Can't predict failures or optimize resource allocation across locations.

340 manual interventions/month for preventable issues
🚨

Reactive Operations

Teams firefight failures instead of preventing them. Manual recovery burns engineering time.

High Mean Time to Recovery

Edge failures require manual diagnosis and intervention. Engineers SSH into nodes, restart services, check logs - 47 minutes average per incident.

MTTR: 47 minutes (vs. 4 minutes with self-healing)

Alert Fatigue

Monitoring tools generate thousands of alerts. Teams can't distinguish signal from noise. Critical issues get buried in notification spam.

85% of alerts are false positives or low-priority

Traditional Fleet Management
Doesn't Scale

Manual configuration changes take hours and introduce human error

Monitoring gaps mean failures go undetected for minutes or hours

No automated remediation - every failure requires engineering time

Configuration drift creates unpredictable behavior across fleet

Operations Challenge
Expanso Solution
4-6 Hour Deployments
Policy updates propagate in <30 seconds
Manual Node Configuration
Define once, enforce automatically everywhere
47-Minute MTTR
Self-healing with automatic retry and failover
Configuration Drift
Continuous reconciliation to desired state
Limited Edge Visibility
Real-time telemetry from every node

Expanso vs Traditional Solutions

Traditional Stack
The Expanso Advantage
Data Noise Reduction
Minimal or Manual Filtering
Checkmark Built-in, Automated Filtering
Time to Insights
Slow
Checkmark Real-Time
Stack Flexibility
Rigid, Vendor-Locked
Checkmark Flexible, works with nearly every vendor
Cost Efficiency
Increases rapidly with the amount of stored data
Checkmark Up to 80% Cost Reduction

Data Noise Reduction

Traditional Stack:
Minimal or Manual Filtering
Expanso:
Checkmark Built-in, Automated Filtering

Time to Insights

Traditional Stack:
Slow
Expanso:
Checkmark Real-Time

Stack Flexibility

Traditional Stack:
Rigid, Vendor-Locked
Expanso:
Checkmark Flexible, works with nearly every vendor

Cost Efficiency

Traditional Stack:
Increases rapidly with the amount of stored data
Expanso:
Checkmark Up to 80% Cost Reduction

Fleet Management Across Industries

Where Expanso Helps
Retail Store Infrastructure
Manage POS systems, inventory scanners, and local servers across 1,000+ locations
Industrial IoT Gateways
Orchestrate edge compute nodes in manufacturing facilities worldwide
CDN Edge Servers
Deploy content delivery policies and monitor cache performance globally
Smart City Infrastructure
Manage traffic sensors, cameras, and edge analytics across urban deployments
Telecommunications Base Stations
Configure and monitor distributed 5G infrastructure at scale
Autonomous Vehicle Fleets
Update vehicle software and collect telemetry from distributed fleets

Automate Operations, Reduce Manual Toil

Benefit

  • <30s Policy Updates
    <30s Policy Updates
  • Self-Healing Infrastructure
    Self-Healing Infrastructure
  • Real-Time Fleet Visibility
    Real-Time Fleet Visibility

What You Get

  • Deploy configuration changes to 10,000+ nodes in under 30 seconds
    Deploy configuration changes to 10,000+ nodes in under 30 seconds
  • Automatic retry, local buffering, and failover without manual intervention
    Automatic retry, local buffering, and failover without manual intervention
  • Works with existing monitoring tools - Datadog, Prometheus, Grafana
    Works with existing monitoring tools - Datadog, Prometheus, Grafana
Background

Show us your distributed infrastructure

We'll show you how Expanso helps teams cut ops costs 50-70%, reduce MTTR by 90%, and deploy updates to thousands of nodes in seconds - not hours.