DeepCost
Intelligent Spot Instance Management

Save Up to 90% on Cloud Costs
With Bulletproof Spot Instances

Stop paying premium prices for on-demand instances. Our AI-powered spot instance management delivers massive savings with zero downtime and automatic fallback protection.

💰 Up to 90% savings • ⚡ Zero downtime • 🛡️ Automatic fallback

Why Teams Avoid Spot Instances

Despite massive potential savings, most teams stick with expensive on-demand instances.

High On-Demand Costs

On-demand instances cost 300-900% more than spot instances

Fear of Interruptions

Teams avoid spot instances due to fear of service disruptions

Complex Management

Manual spot instance management is time-consuming and error-prone

No Fallback Strategy

Lack of automated fallback leads to application downtime

How Bulletproof Spot Management Works

Advanced AI strategies that make spot instances as reliable as on-demand.

1

Intelligent Workload Analysis

AI analyzes your workloads to identify which ones are suitable for spot instances and optimal placement strategies.

2

Smart Diversification

Automatically spreads workloads across multiple instance types, sizes, and availability zones to minimize risk.

3

Predictive Interruption Management

Machine learning predicts interruptions 2-5 minutes early and proactively migrates workloads.

4

Instant Fallback Protection

Seamless failover to on-demand instances when spot capacity is unavailable, then migrate back automatically.

Live Spot Instance Dashboard

Spot Instances47 running
On-Demand Backup3 ready
Interruption Rate0.2%
Monthly Savings$18,642

Key Benefits

Massive savings without compromising reliability or performance.

Up to 90% Savings

Dramatic cost reduction compared to on-demand instances

99.9% Reliability

Bulletproof reliability with automatic fallback protection

Zero Code Changes

Migrate existing workloads without any application modifications

2-Minute Recovery

Average recovery time for interrupted workloads

Continuous Optimization

AI continuously optimizes instance selection and placement

Spot Strategies by Workload Type

Tailored strategies for different application types and reliability requirements.

Stateless Web Apps

Strategy:
Multi-AZ diversification with load balancer
Interruption Rate:< 0.1%
Cost Savings:80-90%
Recovery Time:0 seconds

Batch Processing

Strategy:
Checkpointing with automatic resume
Interruption Rate:2-3%
Cost Savings:85-95%
Recovery Time:30 seconds

Databases

Strategy:
Read replicas + automated backup
Interruption Rate:< 0.5%
Cost Savings:60-80%
Recovery Time:60 seconds

Development/Testing

Strategy:
Best effort with state preservation
Interruption Rate:5-10%
Cost Savings:90-95%
Recovery Time:2 minutes

Customer Success Story

"We moved 85% of our production workloads to spot instances with DeepCost. Zero downtime incidents in 8 months, and we're saving $47,000 monthly. The AI handles interruptions better than our team ever could."
Alex Thompson
CTO, StreamlineApp
$47,000/month saved
320+ spot instances managed

Supports All Major Cloud Providers

Comprehensive spot instance management across all cloud platforms.

AWS Spot

  • EC2 Spot
  • EKS Spot
  • Spot Fleet
  • EMR

GCP Preemptible

  • Preemptible VMs
  • GKE Preemptible
  • Dataflow

Azure Spot

  • Spot VMs
  • AKS Spot
  • Batch Spot

Kubernetes

  • Node Groups
  • Pod Disruption
  • Taints & Tolerations

Frequently Asked Questions

What happens if my spot instance gets interrupted?

Our system receives a 2-minute warning and immediately starts a replacement instance. For critical workloads, we maintain on-demand backups ready to take over instantly with zero downtime.

Can I use spot instances for production workloads?

Yes! With proper diversification and fallback strategies, spot instances are perfectly suitable for production. Netflix, Spotify, and other major companies run production workloads on spot instances.

How do you ensure high availability with spot instances?

We use multi-AZ placement, instance type diversification, predictive interruption handling, and automatic fallback to on-demand instances when needed.

Will this work with my existing Kubernetes cluster?

Absolutely. We integrate seamlessly with existing Kubernetes clusters using node groups, taints, tolerations, and pod disruption budgets for smooth spot instance management.

What about stateful applications like databases?

We use advanced strategies like read replicas, automated backups, and state preservation. Critical stateful workloads can maintain hot standby on-demand instances for instant failover.

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