Vidulividuli
AI-powered cloud that scales with your growth
Viduli for Scale-ups

AI-powered cloud that scales with your growth

You're growing fast—10K to 100K to 1M users. Traditional platforms force you to hire DevOps teams and rewrite infrastructure. Viduli's AI-powered cloud scales automatically while you stay lean. Generate new services with AI, deploy instantly, scale infinitely.

100x
Auto-scaling capacity
Zero
DevOps team size
Multi-region
Coming soon
1 to 1000
Instance auto-scaling
Handle traffic spikes automatically
$150K+/yr
DevOps savings
No full-time ops team needed
99.9%
Uptime SLA
Enterprise reliability (GA)
Scale without infrastructure rewrite

Grow revenue, not operational burden

Most scale-ups hit a wall where Heroku is too simple and AWS is too complex. You're forced to hire DevOps engineers and rebuild infrastructure. Viduli grows with you—no replatforming needed.

DevOps hiring pressure

DevOps hiring pressure

Pain point before$150K+ DevOps engineers, 3-6 month search
Pain point afterStay lean, no ops team needed
Infrastructure rewrites

Infrastructure rewrites

Pain point beforeMigrate from Heroku to AWS at scale
Pain point afterSame platform from 10 to 10M users
Runaway infrastructure costs

Runaway infrastructure costs

Pain point beforeCloud bills double every quarter
Pain point afterPredictable, optimized costs
Built for growth

Everything you need to scale without drama

AI code generation, auto-scaling, multi-region deployment, service mesh, database replicas. Enterprise features without enterprise overhead. Focus on features that grow revenue.

AI-powered expansion

AI-powered expansion

Generate new services and features with AI as you scale. Ship faster without hiring proportionally. Professional code, instant deployment.

Automatic scaling

Automatic scaling

Scale from 1 to 1000 instances automatically based on traffic. Handle HackerNews, ProductHunt, or viral moments without manual intervention.

In Dev
Multi-region deployment

Multi-region deployment

Deploy across multiple regions for global users. Low latency worldwide. Disaster recovery built-in.

Service mesh included

Service mesh included

Microservices communicate reliably. Service discovery, load balancing, circuit breaking. No Istio configuration needed.

Database read replicas

Database read replicas

Scale database reads horizontally. Automatic replication and failover. Performance without complexity.

Team collaboration

Team collaboration

Multiple teams, role-based access, audit logs. Grow your engineering org without losing control.

Built-in monitoring

Built-in monitoring

Real-time metrics, logs, health checks. Understand system behavior at scale without external tools.

Scale-up economics

True cost of scaling to 1M users

Compare the total cost of ownership between AWS with DevOps team vs. Viduli at scale. It's not just hosting—it's the team, tools, and time.

Annual cost for 1M monthly active users

Infrastructure Costs

Compute & hosting
Application servers, databases
Viduli
$36,000
AWS
$48,000
Monitoring & logging
Datadog, Splunk, etc.
Viduli
$0
AWS
$12,000
Load balancing
ELB, ALB costs
Viduli
$0
AWS
$3,600
CDN & bandwidth
CloudFront
Viduli
$0
AWS
$6,000

Personnel Costs

DevOps engineers (2x)
Two senior engineers minimum
Viduli
$0
AWS
$300,000
On-call rotation
Bonuses, burnout costs
Viduli
$0
AWS
$20,000
Engineering time on ops
Opportunity cost of features
Viduli
$5,000
AWS
$40,000

Tooling & Services

CI/CD tools
Included vs separate
Viduli
$0
AWS
$3,000
Security tools
Scanning, secrets management
Viduli
$0
AWS
$8,000
Training & courses
Kubernetes, AWS certification
Viduli
$0
AWS
$5,000
Viduli Total
$41,000
AWS Total
$445,600
Your Savings
$404,600
(91% less)

Save over $404,600 annually by eliminating DevOps overhead, hidden AWS charges, and infrastructure complexity.

Perfect for

Every growth stage

Series A companies

Scale product-market fit efficiently

You've found product-market fit and raised Series A. Now it's about efficient growth—more users, not more infrastructure complexity.

  • Deploy raised capital to growth, not ops
  • Engineering team stays product-focused
  • Handle 10x traffic without replatforming
Series B & beyond

Enterprise-ready infrastructure

Serving thousands of customers? Need 99.9% uptime? Viduli scales to enterprise needs while staying simple to operate.

  • Enterprise SLA (GA)
  • Multi-region deployment
  • Compliance readiness
Technical founders

Stay technical as you scale

You started as a hands-on founder. As you grow, don't let infrastructure force you into pure management. Stay close to the product.

  • No DevOps hiring pressure
  • Focus on product architecture
  • Direct control, zero ops burden
Handle growth automatically

Auto-scaling that actually works

Traffic doubled overnight? Viduli scales automatically from 1 to 1000 instances based on CPU, memory, and request metrics. No manual intervention, no pages at 3 AM, no over-provisioning.

In Dev

Intelligent scaling decisions

Monitors CPU, memory, request rate. Scales up before users notice slowdowns. Scales down to save costs during quiet periods.

In Dev

Gradual scaling

No sudden jumps—smooth scaling prevents thundering herd problems. New instances warm up before receiving traffic.

Per-service scaling

Each service scales independently. API scales to 100 instances while admin panel stays at 2. Efficient resource use.

Zero-downtime scaling

Adding or removing instances never interrupts traffic. Rolling updates ensure continuous service during scaling events.

Growing with you

Enterprise features on the horizon

We're building features that scale-ups and enterprises need. Your platform evolves as your company matures.

Q1 2026

Multi-region deployment

Deploy across US, EU, Asia. Global users, local latency, disaster recovery.

Q2 2026

Advanced observability

Distributed tracing, custom metrics, advanced alerting. Observability at scale.

Q4 2026

Enterprise SSO & compliance

SAML/OIDC SSO, SOC2 compliance, audit logs. Enterprise security requirements.

Why Viduli for scale-ups?

Scaling options compared

Feature
Traditional Clouds
Viduli
Can scale to 1M+ users
Yes (with DevOps team)
Yes (without DevOps team)
Auto-scaling capability
Yes (manual configuration)
Yes (automatic)
Multi-region deployment
Yes (complex setup)
Yes (coming Q1 2026)
DevOps team required
2-5 engineers minimum
Zero
Total cost of ownership
$400K+/year at scale
$50K/year at scale

Scale your business, not your infrastructure team

Join scale-ups that handle millions of users without massive DevOps teams. Grow efficiently, deploy capital to features that matter.

Questions?

Frequently asked questions

Can Viduli really handle millions of users?

Yes! Our auto-scaling goes from 1 to 1000 instances per service. The underlying Kubernetes infrastructure powers Google, Amazon, and billions of requests daily. We've abstracted the complexity, not sacrificed the capability.

When should we move from Heroku to Viduli?

When Heroku's costs become painful or you hit scaling limits. Typically around $2K-3K/month in Heroku bills. Viduli gives you more control and better pricing without the complexity of raw AWS/GCP.

Do we need to rewrite our app to use Viduli?

No! If your app runs in a container or uses standard frameworks (Node, Python, Ruby, Go, Java, etc.), it runs on Viduli. Most teams migrate in days, not months. No code changes required.

What happens during traffic spikes?

Auto-scaling kicks in automatically. New instances are provisioned and added to your load balancer in ~40-60 seconds. Your app handles the spike without manual intervention or downtime. We have much faster scaling (as fast as cold start) in the works.

Can we do blue-green or canary deployments?

Rolling updates (gradual instance replacement) are available now for zero-downtime deployments. Advanced strategies like blue-green and canary deploys are coming soon.

How much can we actually save vs. hiring DevOps?

A mid-level DevOps engineer costs $150K-200K/year including benefits. Most scale-ups need 2-3. That's $300K-600K/year in salaries alone. Viduli infrastructure costs a fraction of one engineer's salary even at scale.

What about compliance (SOC2, GDPR, HIPAA)?

GDPR compliance is primarily about your application logic. For SOC2, we're building features like audit logs, SSO, and enhanced access controls (roadmap). HIPAA requires specific infrastructure—contact us if this is a requirement.

Can we eventually export to raw Kubernetes if needed?

While we don't offer automatic export, your apps run on standard containers with standard dependencies. Migrating to raw Kubernetes is possible with some effort. However, most scale-ups never need raw K8s complexity.

What's the catch? This sounds too good to be true.

No catch! We've invested heavily in platform automation to eliminate operational complexity. By abstracting Kubernetes and automating DevOps tasks, we can offer enterprise capabilities without requiring enterprise personnel. We make money from infrastructure usage, not consulting hours.