We help growing companies move to AWS, GCP or Azure, design infrastructure that holds up under real load, and keep it secure, observable and cost-efficient after launch.
We move applications, databases and file stores from on-premises servers or another provider with a phased plan, tested rollbacks and minimal downtime.
We design landing zones, networking and compute layouts on AWS, GCP or Azure that match your traffic patterns, compliance needs and team skills.
We find where your cloud bill is going, remove waste and set up the tagging, budgets and reporting that keep spend predictable.
We build event-driven and containerized workloads that scale with demand and reduce the servers your team has to manage.
We run your environments day to day with monitoring, patching, on-call incident response and regular maintenance windows.
We protect data and access with tested backups, disaster recovery plans and security controls aligned to the frameworks your customers ask about.
How we migrate an on-premises retail backend to AWS: landing zone, phased migration waves, FinOps cost controls, backup and DR, and peak-season autoscaling.
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How we build a multi-tenant applicant tracking system with AI: resume parsing, explainable candidate matching, scheduling and bias safeguards.
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How we build a multi-tenant HRMS SaaS with AI: core HR, leave, attendance, payroll integration, an AI policy assistant and strict tenant data isolation.
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We work with SaaS companies, product teams and established businesses that have outgrown their current hosting, or that moved to the cloud quickly and now live with the consequences. The problems we see most often are familiar:
Our cloud migration services and ongoing support address these problems with the same approach every time: make the infrastructure explicit, repeatable and observable, then make it cheaper to run.
We define networks, compute, databases, IAM policies and monitoring in Terraform, stored in your Git repositories and applied through reviewed pull requests. That means environments can be recreated, changes are auditable, and staging actually matches production. Where it fits, we pair this with the CI/CD and release practices covered in our DevOps consulting work.
We rarely recommend a single big-bang cutover. We group workloads into migration waves, starting with low-risk services, and choose the right strategy for each: rehost when speed matters, replatform onto managed databases or containers when it reduces operational load, and refactor only where the business case supports it. Every wave has a tested rollback path and clear acceptance checks before traffic moves.
Our AWS consulting and multi-cloud engagements start with account structure and identity. We set up separate accounts or projects per environment, least-privilege IAM roles, single sign-on, encryption at rest and in transit, centralized audit logging and automated backups with scheduled restore tests. If you are preparing for SOC 2, ISO 27001 or a customer security review, we help you put the technical controls and evidence in place.
FinOps is part of the design, not an afterthought. We tag resources by team and product, set budgets and anomaly alerts, rightsize instances based on real utilization, and evaluate reserved capacity or savings plans once usage is stable. Serverless options such as AWS Lambda or Cloud Run are a good fit for spiky workloads, while steady workloads are often cheaper on containers or reserved instances. We show the tradeoffs in numbers from your own billing data.
The main drivers are the number and complexity of workloads, the state of your existing documentation, data volumes and database engines involved, allowable downtime, and compliance requirements. Applications that need code changes to run well in the cloud, for example replacing local file storage or scheduled cron servers, add effort that we estimate explicitly. For managed operations, cost is driven by the number of environments, required response times and support hours. When application changes are larger, we coordinate with our custom software development team so the code and infrastructure evolve together.
If you are weighing a broader technology roadmap before committing to a migration, our IT consulting team can help frame the decision. When you are ready to talk specifics, contact us with a short description of your current setup.
Clear stages, clear deliverables, and no black-box handoffs.
We inventory your workloads, dependencies, costs and risks, and agree on business goals such as uptime targets, compliance scope and budget.
Deliverable: Cloud assessment and migration readiness reportWe produce the target architecture, security model and migration waves, with cost estimates for each option.
Deliverable: Target architecture and phased roadmapWe provision infrastructure as code, move workloads wave by wave, and validate each cutover against agreed acceptance checks.
Deliverable: Production environments in version-controlled TerraformWe monitor, patch and tune the environment, and review cost and performance on a regular cadence.
Deliverable: Runbooks, dashboards and monthly optimization reports
AWS
Google Cloud
Microsoft Azure
Terraform
Kubernetes
DockerAWS LambdaCloud Run
PostgreSQL
Prometheus
Grafana
Datadog
GitHub Actions
GitLab CI/CD
Cloudflare
DigitalOcean
AnsibleCost depends mainly on the number of applications and databases, how much refactoring each needs, data volume, and your downtime tolerance. A lift-and-shift of a few services costs far less than re-architecting a monolith for containers. We provide a fixed-scope estimate after a short assessment.
A small set of stateless services can move in a few weeks, while larger estates with legacy databases are usually migrated in phases over several months. We plan migration waves so the lowest-risk workloads move first and the team learns before the critical cutovers.
It depends on your existing tooling, team experience, data services you need and any customer or regulatory requirements. We compare the options against your workloads rather than defaulting to one provider. Many clients stay on the provider they already use and focus on running it better.
Yes. We start with a spend review to find idle resources, oversized instances, unneeded data transfer and storage that should be tiered. We then apply changes in small, reversible steps and set up tagging and budgets so savings hold over time.
Yes. Our managed operations cover monitoring, alerting, patching, backups and incident response, with scope and response times defined in a written agreement. You keep full admin access to your accounts at all times.
You do. Cloud accounts are created under your organization, and all Terraform, pipelines and runbooks live in your repositories. If you bring operations in-house later, the handover is straightforward.
Share a short description of your current setup and goals through our contact form. We schedule a call, review your environment, and follow up with a proposed scope, timeline and engagement model.
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