Cloud Infrastructure
Cloud architecture and migration that scales with real usage instead of a guess made two years ago.
Most cloud infrastructure problems are not technical, they are inherited: capacity sized for a launch spike that never repeated, environments nobody remembers provisioning, a bill that only ever goes up. We audit before we architect.
Whether that means migrating off a single aging server, redesigning for real elasticity, or simply making an existing AWS, Azure, or GCP environment sane again, the work starts with understanding what is actually running and why.
What's included
Cloud architecture design across AWS, Azure, and GCP
Migration from on premise or legacy hosting
Auto scaling and cost optimization
CI/CD pipeline design and infrastructure as code
Monitoring, alerting, and incident response setup
Who this is for
Teams whose cloud bill has grown faster than their traffic
Businesses migrating off legacy or on premise infrastructure
Products that need real elasticity for unpredictable load
How we get there
Discover
We audit how your team actually works today, not how the org chart says it works, before proposing anything.
Architect
A concrete plan: what gets built, what gets configured, what gets left alone, and why.
Implement
Iterative delivery with working software in your hands early, not a single release at the end.
Support
We stay involved after go live. A rollout that breaks in week two was never actually finished.
Frequently asked
Which cloud provider do you recommend?
It depends on your existing tooling, team familiarity, and workload. We are not tied to one provider and will tell you honestly if staying where you are is the right call.
Can you reduce our current cloud costs without a migration?
Often, yes. Right sizing, scheduling, and autoscaling fixes frequently deliver most of the savings without moving providers.
Do you set up infrastructure as code?
Yes, by default. Infrastructure that only exists as manual console changes is a liability we actively design away from.