Cloud
Cloud & Infrastructure
Autonomous systems run differently: bursty, always-on, and unforgiving of cold starts. We migrate and modernise the infrastructure underneath them — landing zones, orchestration, and cost controls tuned for millions of agent runs a month — so the platform scales with the work instead of throttling it.
Outcomes
What you get, stated as results.
- Infrastructure that scales with agent load, not against it
- Per-workflow cost visibility and automated controls
- Reliability engineered for systems that run unattended
Capabilities
What this practice covers.
Migration & modernisation
Move workloads to cloud without lift-and-shift regret — re-architected for elasticity and observability.
Landing zones
Secure, compliant cloud foundations with identity, networking, and guardrails set from day one.
Agent-scale orchestration
Compute and queueing tuned for spiky, parallel agent workloads that a standard web tier would buckle under.
FinOps & cost control
Per-workflow cost visibility and automated controls, so agent throughput never becomes a surprise bill.
Reliability engineering
SLOs, autoscaling, and failover designed for systems expected to run unattended.
Observability
Traces and metrics that span application, agent, and infrastructure in one view.
How it works
A sequenced path, not a big bang.
Assess the estate
Map current workloads, dependencies, and the cost of standing still.
Lay the foundation
Landing zone, identity, and guardrails before anything moves.
Migrate in waves
Re-architect and move workloads in sequenced, reversible waves.
Tune for autonomy
Scaling, FinOps, and reliability tuned for always-on agent load.
Where it applies
FAQ
Cloud & Infrastructure — questions, answered.
Why do autonomous agents need different infrastructure?
Autonomous systems run bursty, always-on, and unforgiving of cold starts. Compute and queueing are tuned for spiky, parallel agent workloads that a standard web tier would buckle under, so the platform scales with the work — up to millions of agent runs a month — instead of throttling it.
What uptime can we expect under autonomous load?
We engineer for 99.9% platform uptime under autonomous load. SLOs, autoscaling, and failover are designed for systems expected to run unattended, and observability spans application, agent, and infrastructure in one view so reliability is measured rather than assumed.
How do you keep agent workloads from becoming a surprise bill?
FinOps is built in, not bolted on. You get per-workflow cost visibility and automated controls, so agent throughput never becomes a surprise bill. Cost management is tuned alongside scaling and reliability for always-on load, tied to the SLOs you agree.
How do you approach cloud migration?
In sequenced, reversible waves — no lift-and-shift regret. We assess the estate, lay a secure landing zone with identity and guardrails before anything moves, then re-architect and migrate workloads for elasticity and observability, tuning for autonomous agent load once they land.
What is a landing zone and why do we need one?
A landing zone is a secure, compliant cloud foundation with identity, networking, and guardrails set from day one. We stand it up before any workload moves, so migration builds on solid ground rather than accumulating risk that has to be unpicked later.
Put Cloud & Infrastructure to work.
Tell us the workflow. We'll show you the shortest path to a running agent.
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