Overview
We design infrastructure that survives an unexpected Hacker News spike, a regional cloud outage, and an unannounced compliance audit on the same week. Reference architectures, infrastructure-as-code, and observability are non-negotiable defaults, not premium tier.
What this includes
- Cloud-native deployments on AWS, Azure, GCP, or hybrid setups
- Infrastructure as code (Terraform, Pulumi), reviewable, reproducible, reversible
- Observability: metrics, structured logs, traces, and meaningful alerts
- Cost dashboards so the cloud bill stops being a monthly surprise
- Security baselines: secrets management, network segmentation, backup verification
Who this is for
CTOs and engineering leaders who want a platform their team can operate confidently at 3 a.m., not a black box.
Most infrastructure bills are wrong for the same three reasons
When a company asks us to look at cloud spend, the money is almost always in the same places, and almost never in the place they suspected.
- Environments nobody switched off. Staging copies from a project that ended two years ago, still running, still billing.
- Instances sized for a launch day that never repeated. Capacity bought once for a peak, then paid for monthly forever.
- Storage with no lifecycle rule, where logs and backups accumulate at full price because nobody set an expiry.
- Data transfer between regions, which is invisible on the architecture diagram and very visible on the invoice.
Uptime is a design decision with a price tag
Everyone says they want high availability until they see what each additional nine costs. It is worth deciding this deliberately rather than by default.
Going from 99 to 99.9 percent is usually cheap and sensible, mostly redundancy and better deploys. Going to 99.99 means multi zone, automated failover, and a team that can be woken up. Decide which of your systems genuinely needs that and let the rest be ordinary. Paying for four nines on an internal reporting tool is a common and expensive habit.
When to leave infrastructure alone
If the current setup is boring, cheap and nobody is woken up by it, migrating it to something modern is a cost with no return. Modernise the parts that hurt, and let the quiet parts stay quiet.
Frequently asked questions
Which cloud provider should we use?
We deploy on AWS, Azure, GCP, and on-prem mixes regularly. The right choice is usually whichever your team already operates and bills against. If you are starting fresh, we factor in your regulatory footprint, your data gravity, and which managed services match your workload. We do not have a one-cloud-fits-all preference.
Do you use Infrastructure as Code?
Always. Terraform for most cloud setups, Pulumi where it fits the team better, Bicep for Azure-heavy shops. Every environment is reproducible from version control. Manual console clicks are reviewed in retros, not standard practice.
How do you handle observability?
Metrics, structured logs, and traces are wired in from the start, not after the first incident. We pick the stack that matches your team, Grafana, Datadog, New Relic, or cloud-native equivalents. The bar is the same: when something breaks at 3 a.m., the on-call engineer should not be reading code to figure out what failed.
What about cost?
Cloud bills surprise teams that do not look. We set up cost dashboards with per-service breakdowns, tag resources properly, and review the bill monthly with you. For new projects we agree on a target monthly cost up front and design against it. Reserved instances, savings plans, and right-sizing are part of the standard playbook.
How do you approach security baselines?
Network segmentation, least-privilege IAM, secrets in a managed vault, encrypted backups with restore drills, and dependency scanning in CI. We map controls to a recognized framework (NIST CSF, ISO 27001, or SOC 2) so audit conversations have something to reference.