Most teams never decide to have a bad deployment process — they just never decide to have a good one. Someone SSHes into a server, pulls the latest code, restarts the process, and that ritual becomes the release procedure for the next two years. Our cloud and DevOps work is for exactly these teams: products about to take real traffic, startups without a platform engineer, and businesses whose deploys have quietly become the scariest part of shipping.

This is not theoretical for us, because we run this infrastructure for our own client products. HomePro Deals, a multi-role service marketplace, runs on AWS EC2 with S3 media storage. Refine AI and our AI accessibility platform both run under PM2 process management with S3 presigned-URL uploads, rate limiting, and structured logging. Across projects the toolkit is consistent: Docker images tagged by commit, CI/CD pipelines that lint, test, build, and deploy automatically, staging environments shaped like production, and rollbacks that mean deploying the previous tag rather than debugging at 2 a.m.

The outcome you should expect is that deploying becomes boring. Every merge reaches staging automatically, production releases are a reviewed click rather than a checklist in someone's head, and monitoring tells you about problems before your customers do. We are deliberate about right-sizing: a single VPS or a managed container service carries most products well past product-market fit, and we only add orchestration complexity when a concrete signal — real load, many services, autoscaling needs — actually fires. Everything runs in your cloud accounts and is documented for handover, so the setup outlives the engagement.

What our Cloud Solutions & DevOps services include

Cloud-native infrastructure and deployment solutions for scalable applications.

AWS cloud deployment
Google Cloud services
CI/CD pipeline setup
VPS & server deployment

Docker containerization
Scalable backend architecture
Performance optimization & monitoring

Right-sized, not over-engineered

A five-node Kubernetes cluster with no alerting is complexity, not reliability. We size infrastructure to your actual traffic and team — often Docker Compose on a VPS or a managed container service — and add heavier tooling only when a concrete signal justifies it.

Deploys become routine

We set up pipelines that lint, test, build, and deploy on every push, with staging deploys automatic and production behind one deliberate approval. Images are tagged by commit, so you always know exactly what is running and rolling back is deploying the previous tag.

Security and monitoring as defaults

Rate limiting, security headers, secrets management, automated backups, and error monitoring go in with the first deployment, not after the first incident. You should learn about an outage from an alert, never from a customer support email.

Documented and handed over

Everything we set up runs in your cloud accounts, under your billing, with documentation your team can follow. The goal is infrastructure a two-person team can operate confidently — not a black box that makes you dependent on us.

Discovery & Planning

We understand your requirements, define the scope, and map out a clear roadmap for development and delivery.

Design & Development

Our team designs and builds your solution using modern technologies with clean architecture and best practices.

Testing & Deployment

We rigorously test, optimize performance, and deploy to production with cloud-ready infrastructure and ongoing support.

FAQ's

Common questions about Cloud Solutions & DevOps

View all FAQs

What does DevOps or cloud setup cost?

It depends on the number of environments and services, whether we are building fresh or migrating a live system, and how much monitoring and compliance work is involved. A pipeline-plus-staging setup for a single application is a small engagement; a full migration is larger. Tell us what you run today and we scope and quote within 2-3 business days.

How long does the work take?

A CI/CD pipeline with staging for an existing application typically takes 1-2 weeks. A full infrastructure build or a migration of a live production system usually runs 4-8 weeks depending on scope, because we move in stages that never leave your product offline.

AWS, Google Cloud, or a simple VPS — which should we use?

It depends on your workload and budget, and we work with all three. Many products run happily on a well-configured VPS with Docker; AWS or Google Cloud earn their complexity when you need managed databases, object storage, autoscaling, or specific compliance features. We recommend based on what you run, not on what is fashionable.

Do we need Kubernetes?

Probably not yet. Kubernetes pays off when you genuinely run many services or need autoscaling — adopted early, it is a full-time job disguised as a config file. Most of the products we run sit on Docker with a managed service or VPS, and we recommend moving up only when a real signal fires.

Do you provide ongoing monitoring and maintenance?

Yes. We offer ongoing arrangements covering monitoring, security patches, dependency updates, backups, and performance work, with alerting that reaches us before your customers notice. If you would rather run it yourself, the handover documentation is written so your team can.

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Cloud Solutions & DevOps

What our Cloud Solutions & DevOps services include