Cloud architecture, CI/CD pipelines, infrastructure as code and observability โ built so your product runs reliably, scales predictably and recovers automatically. AWS, GCP and Azure.
Every engagement starts by finding where reliability is actually breaking down or where scale is genuinely being constrained โ not by defaulting to whichever architecture is trending this year.
Whether it’s a first deployment or an exit from on-prem, the architecture gets designed around your real traffic patterns and your team’s existing skill set โ not a textbook diagram.
Push-to-deploy pipelines with proper staging environments, secrets kept out of source control, and a rollback path that actually works when you need it at 2am.
Your infrastructure lives in version control, not in someone’s memory of what they clicked in a console eight months ago.
We reach for Kubernetes when the complexity actually earns it โ plenty of teams are better served by something simpler like ECS or Cloud Run, and we’ll tell you which one you are.
Dashboards your team will actually open, and alerts tuned so a 3am page means something is genuinely on fire โ not that a log line looked unusual.
IAM configured on least-privilege, secrets rotated properly, and infrastructure built to meet SOC 2, ISO 27001 or PCI requirements from the start rather than bolted on later.
Most infrastructure engagements run 4 to 12 weeks. There's no handoff between the people who design the architecture and the people who build it โ it's the same team from the first audit call to handover.
We audit what’s actually running today, model out cost and traffic at your real numbers, and settle on a stack before anything gets built.
Infrastructure gets written as code, pipelines go in, environments get stood up โ and if there’s a legacy system to move off of, this is when that migration happens.
Before we call anything done, we harden access controls, wire up real observability, write runbooks for the incidents we can predict, and try to break the system on purpose.
You get full documentation and a trained team either way โ whether that team is yours from here on, or ours on an ongoing retainer.
We don't have a favourite cloud provider we push regardless of fit. The stack gets decided during discovery, based on what you already run, what your team can maintain, and what it'll actually cost you a year from now.
Cross-platform Flutter applications for iOS and Android โ live camera data ingestion, WebSocket alert management and multi-site monitoring dashboards. When vendor SDKs were unavailable, we built a custom HTTP adapter to keep delivery on schedule.
Tailored answers for cloud and infrastructure projectsโnever generic advice copied from a template.
We look at what you're already running, what your team is comfortable operating, and what the real cost looks like at your actual scale โ not a hypothetical one. That comparison happens during the audit, and the recommendation reflects your situation specifically, not a default we reach for every time.
Generally, yes. We plan migrations in phases with rollback checkpoints along the way rather than one high-stakes cutover night. Data migration, DNS switchover, and validation testing all happen before we let the old environment go.
Either. A lot of clients start with the setup engagement and later move to an ongoing retainer for monitoring, patching, incident response and continued tuning. It's a separate decision made after the initial build โ we won't assume you want it.
It's built into the process, not tacked on at the end โ least-privilege IAM, proper secrets management, vulnerability scanning, encryption in transit and at rest. If you're working toward SOC 2, ISO 27001, or PCI scope reduction, we configure for those specific controls from day one rather than retrofitting them later.
Tell us about your project. We respond within 24 hours with an honest assessment โ whether we're the right fit or not.