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.
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
Infrastructure rewrites
Runaway infrastructure costs
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
Generate new services and features with AI as you scale. Ship faster without hiring proportionally. Professional code, instant deployment.
Automatic scaling
Scale from 1 to 1000 instances automatically based on traffic. Handle HackerNews, ProductHunt, or viral moments without manual intervention.
Multi-region deployment
Deploy across multiple regions for global users. Low latency worldwide. Disaster recovery built-in.
Service mesh included
Microservices communicate reliably. Service discovery, load balancing, circuit breaking. No Istio configuration needed.
Database read replicas
Scale database reads horizontally. Automatic replication and failover. Performance without complexity.
Team collaboration
Multiple teams, role-based access, audit logs. Grow your engineering org without losing control.
Built-in monitoring
Real-time metrics, logs, health checks. Understand system behavior at scale without external tools.
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.
Infrastructure Costs
Personnel Costs
Tooling & Services
Save over $404,600 annually by eliminating DevOps overhead, hidden AWS charges, and infrastructure complexity.
Every growth stage
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
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
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
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.
Intelligent scaling decisions
Monitors CPU, memory, request rate. Scales up before users notice slowdowns. Scales down to save costs during quiet periods.
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.
Enterprise features on the horizon
We're building features that scale-ups and enterprises need. Your platform evolves as your company matures.
Multi-region deployment
Deploy across US, EU, Asia. Global users, local latency, disaster recovery.
Advanced observability
Distributed tracing, custom metrics, advanced alerting. Observability at scale.
Enterprise SSO & compliance
SAML/OIDC SSO, SOC2 compliance, audit logs. Enterprise security requirements.
Scaling options compared
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.
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.