Compute & Autoscaling
Right-sized instances and node pools that scale on real demand signals, not guesswork.
- Autoscaling groups & node pools
- Spot and reserved capacity mix
- Load and soak testing
CLOUD INFRASTRUCTURE
Public, private and hybrid cloud
designed, built and operated for you
Backed by a 99.99% uptime SLA
and 24/7 engineering cover
We run production estates on AWS, Azure and Google Cloud, plus private and hybrid footprints where regulation or latency demands it. Every environment is provisioned from version controlled Terraform, segmented by default, and covered by SLO-based alerting rather than raw metric thresholds. You get a documented architecture, a cost model, and one team accountable for keeping it standing - not a queue of tickets pointing at each other.
Workloads Under Management

Right-sized instances and node pools that scale on real demand signals, not guesswork.
Segmented VPCs, private connectivity and CDN or WAF in front of everything public.
Managed database services with replication, tiered storage and lifecycle policies.
Hardened clusters with policy admission, secrets management and safe rollouts.
Metrics, logs and traces in one place, with paging driven by SLOs instead of noise.
Tagging, budgets and rightsizing reviews so the bill stays predictable as you grow.
Three weeks from first call to us holding the pager. No big-bang cutover, and nothing moves before the rebuild has been proven.
We document what you run, how it is wired together and what it costs today, then agree the uptime and performance targets worth designing for.
Networking, identity, runtime and monitoring go into Terraform, so the whole environment can be rebuilt from scratch in under an hour.
24/7 monitoring, patching and capacity work, plus a quarterly review of cost, risk and performance against the targets we set.
AWS, Azure and Google Cloud as first-class platforms, plus private and hybrid footprints on VMware or bare metal where regulation, latency or licensing makes that the better answer. We will tell you which one fits rather than which one we prefer.
Against the availability of your application endpoints, monitored externally from multiple regions - not against our hypervisor being powered on. Credits are automatic and appear on the next invoice without you having to claim them.
Yes, and most of our work starts that way. We run a two week assessment, import what is worth keeping into Terraform, and give you a prioritised list of what needs fixing before we will put our name on the SLA.
Our own engineers, on a follow-the-sun rotation - no outsourced first line. Severity one pages are acknowledged within 15 minutes, day or night, and you get the same named architect for planned work.
Cloud consumption is passed through at cost, with our management fee shown as a separate line from $2,400 a month. You see the provider invoice, so there is no margin hidden inside your compute bill.