Cloud Infrastructure Sized for What You Run
Infrastructure defined in code, sized to real traffic rather than a worst case guess, and monitored so you hear about problems before your customers do. The bill gets explained.
Overview
What is Cloud Infrastructure and Hosting?
Cloud infrastructure is the set of servers, networking, storage, and managed services an application runs on, provided by a platform such as AWS, Google Cloud, or Azure. Cloud hosting is the ongoing operation of that environment, including scaling, backups, monitoring, and security.
Cloud bills grow because nobody owns them and nothing is written down. So infrastructure here is defined in code, which makes it reviewable, repeatable, and possible to tear down and rebuild identically. Networking, storage, databases, certificates, backups, and access are set up deliberately rather than clicked together, with environments that genuinely match each other. Autoscaling is based on measured load, alerts go to a person with a runbook, and cost is broken down by service so you can see what each part of the product costs to run.
Capabilities and features
Reviewable, Repeatable, Rebuildable
Everything defined in Terraform or the platform equivalent, in version control, so a change is a pull request rather than a click somebody vaguely remembers making. Staging genuinely matches production, because both come from the same definition.
- Terraform or CloudFormation kept in version control
- Identical staging and production environments
- No manual console changes that nobody can reproduce
Locked Down Without Being Unworkable
Private networking, security groups, load balancing, DNS, and certificates configured deliberately. Access follows least privilege with short lived credentials, and secrets live in a manager rather than in an environment file or a chat message.
- Private networks, security groups, and managed load balancing
- DNS, TLS certificates, and automatic renewal
- Least privilege access with secrets in a managed store
Autoscaling Based on Numbers, Not Nerves
Scaling rules set from measured load, backups verified by actually restoring them, and monitoring with alerts that name a service and point at a runbook. Cost is tagged and reported per service, with the obvious savings taken first.
- Autoscaling and capacity based on real traffic patterns
- Backups with tested restores and a stated recovery time
- Cost tagged per service, with monthly reporting
The real impact
Why it matters
Infrastructure gets attention twice: when the bill arrives and when the site is down. Defining it in code and monitoring it properly turns both into routine work, and usually costs less than the over provisioning it replaces.
Global cloud infrastructure market size in 2024. By 2034 it is projected to reach $838B at a CAGR of 12.3%. The market is accelerating, not slowing.
Source: Precedence Research, 2025
Year-over-year growth of the worldwide IaaS market in 2024, reaching $171.8B. Cloud adoption is still climbing fast across every industry.
Source: Gartner, 2025
Of cloud migrations ran over budget according to McKinsey research. The most common cause is poor planning, not technology failure.
Source: McKinsey, 2021
Technologies we build with
AWS
Google Cloud
Microsoft Azure
Docker
Kubernetes
TerraformAWSGoogle CloudMicrosoft AzureDockerKubernetesTerraform
GitHub Actions
GitLab CI
Prometheus
Grafana
Datadog
LinuxGitHub ActionsGitLab CIPrometheusGrafanaDatadogLinuxExplore more
Related services
More ways we help teams with cloud and devops.
FAQ
Frequently asked questions
Everything you need to know about this service.
AWS has the widest service range and the deepest hiring pool. Google Cloud is strong on data and Kubernetes. Azure fits organisations already on Microsoft licensing. For most applications any of the three works, so the deciding factors are your team, your existing agreements, and where your data has to live.
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