Web & Software
Cloud Deployment
Infrastructure you can reason about: defined in code, deployed by a pipeline, monitored properly, and costing what you expected at the end of the month.
Boring infrastructure is good infrastructure
Most applications do not need a complex platform. A container service, a managed database, a CDN and a queue will carry a very large business. We resist architecture that exists to be impressive, because someone has to operate it at two in the morning.
Everything is defined in code so environments are reproducible and a change is reviewable. No configuration that exists only in a console and only one person remembers.
Cost is a design constraint
Cloud bills grow quietly — an oversized instance here, unbounded log retention there, cross-region traffic nobody costed. We set a budget at design time, tag resources so spend is attributable, and put alerts on the thresholds that matter.
What the engagement includes
Infrastructure as code
Terraform, reviewable and reproducible.
CI/CD
Tested, automated deploys with rollback.
Containerisation
Docker images and orchestration sized to the actual load.
Monitoring and alerting
Uptime, latency, errors and log aggregation.
Backup and recovery
Tested restores, not just scheduled backups.
Cost review
Right-sizing, tagging and budget alerts.
Technologies we use
Frequently asked questions
Which cloud provider should we use?
Usually whichever your team already knows. The capability gap between AWS, Google Cloud and Azure is much smaller than the gap between a platform your engineers understand and one they do not. Data residency requirements sometimes make the decision for you.
Do we need Kubernetes?
Probably not. Most applications are better served by a managed container service. Kubernetes is worth its operational overhead at genuine scale or with many teams deploying independently — otherwise it is complexity you pay for daily.
Can you reduce our cloud bill?
Often significantly. A cost review typically finds over-provisioned compute, forgotten environments, unbounded log retention and storage on the wrong tier. We report the expected saving before doing the work.
What about backups and disaster recovery?
Automated backups with tested restores, defined recovery objectives and a written runbook. An untested backup is not a backup.