Infrastructure that carries your ambition. And your obligations.
Design, deploy and operate the foundation for business applications and AI. From your own servers to selected cloud services, with responsibilities and costs made explicit.
The operating model is part of the architecture.
Location, capacity and technology matter. So do administrator access, recovery, support coverage, provider dependencies and the team accountable when something fails.
Capacity
What CPU, GPU, storage and network capacity does the workload require?
Control
Where do data, keys, administration and outbound traffic sit?
Continuity
Who monitors, restores, patches and responds to incidents?
Capabilities shaped around your use.
Cloud & private infrastructure
Plan landing zones, networks, identity, dedicated servers and CPU/GPU capacity. Select geography and providers against your requirements.
PaaS & application platforms
Implement a reusable application runtime: containers, deployment pipelines, databases, secrets, observability and environment isolation.
Data & AI infrastructure
Build storage and inference services around workload needs. Evaluate object, relational and vector storage, queues and model-serving capacity.
Managed operations
Agree monitoring, patching, backup restoration, incident response, recovery targets, capacity planning and service coverage in the operating contract.
Private PaaS is a defined platform, with a defined owner.
A dedicated application platform can be designed on client-owned infrastructure or a selected cloud. We specify which layers are supplied, who operates them and how applications are deployed, observed and restored. The architecture illustration is a brand concept; it does not claim that Pixels Trade owns a data centre.
Deliverables you can use.
Deployment blueprint
Environment boundaries and a responsibility matrix across your organisation, Pixels Trade and infrastructure providers.
Capacity & cost model
Workload assumptions, infrastructure and software costs, operational effort and scaling scenarios.
Operating procedures
Runbooks, recovery tests, monitoring and an agreed service plan aligned with the application’s criticality.
A clear route from assumptions to evidence.
Assess
Establish workload, residency, access and availability requirements.
Design
Select deployment boundaries, components and provider responsibilities.
Deploy & verify
Build environments and check security, recovery and performance.
Operate
Monitor service objectives and review capacity, changes and incidents.
Cloud, PaaS & Operations, answered
Do you own the cloud infrastructure?
Our role is to design, integrate and, where contracted, operate environments on client-owned infrastructure or selected providers. Ownership and provider responsibilities are explicit in the proposal.
Can you provide a private PaaS?
Yes, a dedicated application platform can be designed on your infrastructure or a selected cloud. Available capabilities depend on the agreed stack and operating scope.
Is 24/7 support included?
Coverage, escalation, response targets and provider dependencies are agreed in the service contract. Round-the-clock coverage is not assumed.
Can you support an on-premise AI runtime?
Yes. We assess hardware, model licences, inference capacity, isolation, updates and the operating procedures needed for the selected workload.
Start with your use case.
Bring the workflow, the constraints and the decision you need to make. Together we can define a useful next step and the evidence it should produce.