Technologies
Cloud and infrastructure
We set up and run systems on AWS, Microsoft Azure and Google Cloud, using Indian regions when your data needs to stay in the country. Everything is defined in Terraform and packaged in Docker, so environments can be rebuilt the same way every time. For simpler sites we use Vercel, Cloudflare or DigitalOcean to keep monthly bills low.
4 tools
Cloud providers
AWS
Most of our production workloads, including Bedrock for AI models.
Microsoft Azure
Microsoft centred organisations and Azure AI Foundry deployments.
Google Cloud
Data and AI work on BigQuery and Vertex AI.
DigitalOcean
Simple, predictable hosting for smaller apps.
2 tools
Edge and hosting
Vercel
Next.js sites and front ends with preview links for every change.
Cloudflare
DNS, CDN, firewall rules and protection against bot traffic.
5 tools
Containers and infrastructure as code
Docker
Packaging every service so it runs the same everywhere.
Kubernetes
Running many services with scaling and rolling updates.
Terraform
Defining cloud resources in code that can be reviewed.
Helm
Versioned Kubernetes deployments for each environment.
Linux
Server setup, hardening and on premise installations.
What we build with it
Typical work in this stack
- New cloud setups
- Accounts, networks, access roles, backups and budgets set up properly from day one.
- Migrations
- Moving apps from a single server or another provider to the cloud in planned steps, with a rollback plan.
- Cost reviews
- Finding idle servers, oversized databases and missing reservations, then fixing them.
- Private and on premise
- Installing systems in your data centre or private cloud when policy requires it.
- Disaster recovery
- Tested backups and a written restore procedure, rehearsed before it is needed.
How we choose
We usually follow your existing cloud account and your IT team's comfort. With no constraint, AWS is our default because of its Indian regions, services and the number of people who know it. Kubernetes is powerful but has a running cost in attention, so for a handful of services we often use managed container services or plain virtual machines instead. We tag every resource and set budget alerts from the start, because cloud bills tend to grow quietly.
Questions
Good to know
Other parts of the stack
Can our data stay in India?
Yes. AWS, Azure and Google Cloud all have Indian regions, and we configure storage, backups and logs to stay there.
Who owns the cloud account?
You do. We work inside your account with named access that you can review or remove at any time.
Do we need Kubernetes?
Often not. For a few services, managed containers are cheaper to run. We move to Kubernetes when the number of services justifies it.
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