Compute
Cloud VPS, bare metal and private infrastructure sized for predictable throughput, not just vCPU count.
Enterprise platforms, applied AI and infrastructure engineering
Infrastructure decisions become business constraints. We design landing zones, network boundaries, storage tiers and recovery procedures before migrating workloads. Where the group’s Joy Services platform fits, we can deploy on KVM compute, bare metal, colocation and the group network with clear responsibility boundaries.
Not a feature list. The architectural obligations we design, test and hand over.
Cloud VPS, bare metal and private infrastructure sized for predictable throughput, not just vCPU count.
BGP, RPKI-validated routing, IX peering, BYOIP, anycast DNS and DDoS mitigation across the group network.
S3-compatible object storage, NVMe-backed volumes, backup policy and lifecycle rules.
CDN, reverse proxy, cache rules, TLS automation and origin protection.
Environment separation, identity, network policy, infrastructure as code and cost guardrails.
Monitoring, on-call runbooks, patching, capacity review and recovery testing.
Each stage produces an artefact that the next stage depends on. If an assumption fails, we stop and reassess rather than building on it.
Talk through your constraintsTraffic, data gravity, latency, recovery and compliance requirements determine the placement model.
Network segmentation, identity, storage, backup and observability are defined as code.
Replication, DNS TTL strategy, rollback and acceptance tests are rehearsed before cutover.
Capacity, cost, patch level, backup restore and incident readiness are reviewed on a fixed cadence.
Technology choices follow constraints. These are the tools we commonly use, not a mandated catalogue.
Deliverables are written so your team can operate, audit and evolve the system without us.
Tell us what has to be true for this system to be acceptable: security, latency, recovery, regulation or operating cost.