Cluster · production
TrafficPeak hour
Scaling6 → 14 nodes
HealthAll checks passing
Service
Cloud Infrastructure
Infrastructure that scales itself, heals itself and is defined entirely in code.
The problem
Hand-built servers break under load, cost too much when idle, and nobody is quite sure how they were configured.
What it is
The servers, databases, networks and pipelines that run high-availability applications and AI models — all defined as code, so they are repeatable and auditable.
How it works
We define your environment in Terraform, run services on Kubernetes, use multi-zone databases for resilience and ship through automated CI/CD. Traffic spikes add capacity; failed nodes replace themselves.
How it runs
- Code shipped
- Environment built
- Load watched
- Scaled and healed
Infrastructure as code
Every environment versioned and reproducible.
Auto-scaling
Capacity follows real-time demand.
CI/CD
Automated testing and zero-downtime releases.
Hardening
Private networks, strict roles and full encryption.
Delivery
From first call to live system in four weeks.
- Week 1
Audit
Review the current setup and design the target state.
- Week 2
Code
Write the infrastructure modules.
- Week 3
Migration
Move data and services securely.
- Week 4
Monitoring
Real-time dashboards and alerts.
Outcomes
What it changes.
- Uptime SLA
- 99.99%
- Lower cloud cost
- 40%
- Downtime deployments
- 0
Where it works
High-traffic commerce
Move a monolithic storefront to scalable services that hold steady through peak sales.
AI model hosting
Run open-source models on GPU clusters that scale to control inference cost.
Typical stack
- AWS / GCP
- Terraform
- Kubernetes
- Docker
- GitHub Actions
- Datadog
Security
Least-privilege access everywhere, databases in private networks, traffic through firewalls, and encryption at rest and in transit.
Related work
In production.
FAQ
Questions, answered.
Yes. We offer SLA-backed managed operations with round-the-clock monitoring.