We design cloud environments in Terraform, automate testing and deployment, and add the monitoring that tells you something is wrong before your customers do.
Many teams run on infrastructure that was clicked together in a cloud console years ago. Nobody is sure what every resource does, deployments depend on one person, and the monthly bill keeps growing. Our cloud and DevOps services replace that with infrastructure defined in code, reviewed like any other change, and reproducible in a new account or region when you need it.
We work across AWS, Azure and Google Cloud, and we pick the simplest setup that fits your traffic and team. For some products that means containers on ECS or Cloud Run with a managed database; for others it means Kubernetes, multiple environments and a service mesh. We explain the trade-offs in running cost and operational effort rather than defaulting to the most complex option.
Alongside the infrastructure, we build CI/CD pipelines that test, scan and deploy every change, preview environments for pull requests, and monitoring with alerts that point to a cause. The aim of DevOps here is practical: smaller, safer releases, faster recovery when something breaks, and a team that does not dread deploy day. Everything is documented and handed over, so your engineers can run and change the platform without depending on us.
Moving workloads from shared hosting, on-premise servers or another cloud to AWS, Azure or GCP, planned service by service with rollback options and minimal downtime.
Networks, databases, queues, permissions and DNS written in Terraform or Pulumi, stored in Git, and applied through reviewed pull requests instead of console clicks.
GitHub Actions or GitLab CI pipelines that run tests, linting and security scans, build container images and deploy to staging and production with approvals where needed.
Dockerising applications and running them on ECS, Cloud Run or managed Kubernetes (EKS, AKS, GKE) with autoscaling, health checks and zero-downtime rollouts.
Metrics, structured logs, traces and uptime checks in tools such as Grafana, Prometheus, Datadog or CloudWatch, with alerts tuned to real problems and runbooks for each.
An audit of your cloud account for idle resources, oversized instances, missing reserved capacity, open ports, broad IAM roles and absent backups, with a prioritised fix list.
Automated tests and repeatable deployments mean shipping is a routine merge, and a bad release can be rolled back in one step.
Infrastructure in code plus written runbooks means any engineer can see how the system is built and recover it, not only the person who set it up.
Tagged resources, right-sized services and budget alerts show where the money goes and stop surprise charges from going unnoticed.
Monitoring and alerts on errors, latency and capacity give your team time to act while an issue is still small.
We review your current accounts, deployments, costs, security posture and incident history, and talk to the developers about where releases hurt.
We propose an architecture with its running costs and trade-offs, then break the move into stages that can each be deployed and rolled back independently.
We write the infrastructure as code, build the CI/CD pipelines and environments, and migrate services one at a time with data sync and cut-over checks.
We set up dashboards, alerts and backups, test a restore, write runbooks, and walk your team through operating the platform day to day.
Straight answers about Cloud & DevOps. Anything else? Ask us directly.
The main drivers are the number of applications and environments, how much of your current setup is undocumented, whether a migration with data transfer is involved, and any compliance requirements. Your cloud provider bill is separate and goes directly to you. We usually begin with an audit; book a discovery call and we will suggest where to start.
That depends on how many services you run, how large and busy your databases are, how tangled the dependencies are, and how much downtime your business can accept. We plan migrations in stages so each piece moves and is verified separately, and we give you a timeline after the audit rather than a guess up front.
For most products, AWS, Azure and Google Cloud can all do the job. The better question is what your team already knows, which managed services you need, where your customers are, and any existing credits or enterprise agreements. Simpler platforms such as Vercel or Cloud Run often suit smaller products. We recommend based on those factors, not a preference.
Often not. Kubernetes is worth its operating effort when you run many services, need fine-grained scaling, or must stay portable across clouds. Many products run well, and more cheaply, on managed containers like ECS or Cloud Run, or on a platform service. We will tell you honestly if Kubernetes adds cost without solving a real problem for you.
You do. Cloud accounts are created under your organisation, billing goes to you, and all infrastructure code, pipelines and documentation live in your repositories. We work through access you grant and can revoke at any time. If we part ways, your team or another provider can pick up exactly where we left off.
Yes. After handover, some teams run everything themselves using the runbooks we write. Others keep us on to watch alerts, apply security patches and version upgrades, review costs, and adjust capacity as traffic changes. We agree on response expectations and scope together, under our maintenance and support service.
A short call to understand your goals, constraints and timeline. You leave with a clear next step, with no obligation.