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Dedicated infrastructure for long-running, stateful workloads that need to behave the same way every time, across every region, through every change event.
Platform and application servers are the persistent compute layer that sits beneath your product. The backends, processing engines, session managers, databases, and application logic your platform depends on continuously.
Unlike end-user compute, where each instance is provisioned for an individual, this layer serves your platform itself. The workloads are long-lived, stateful, and need to remain stable through upgrades, scaling events, and maintenance windows.
Separate estates for development, staging, and production, all provisioned from the same baseline image. Behaviour in staging reliably predicts behaviour in production because the builds are identical.
Servers across multiple regions using the same build, same configuration, and same operational procedures. A server in London is identical to one in Tokyo.
Every component is exclusively yours. Compute, storage, network, and management plane are fully separated from any other customer’s infrastructure.
Shared physical infrastructure with strict resource guarantees and logical isolation at the hypervisor, network, and storage levels. Same performance behaviour as dedicated, with cost efficiency as the trade-off against absolute physical separation.
All servers within a single data centre or metro region. For platforms where proximity to a specific system or user base is the priority.
Every server is provisioned from a standardised, security-hardened OS image. Version-controlled, identical across every deployment, with no manual builds or undocumented modifications.
Dedicated CPU and memory per server. Reserved, not shared. One server’s workload cannot contend with another’s.
Dedicated per server with independent I/O paths. Encrypted at rest with per-server keys. Cryptographically wiped on deprovisioning.
Isolated network paths with policy enforcement at the infrastructure layer. Cannot be modified from within the guest.
Compute, storage, and network operate as independent failure domains. A problem in one stays in one. Impact boundaries are architectural, not accidental.
Define region, resource profile, OS baseline, and network configuration. Built from the controlled image and added to your estate.
New servers use the same baseline and configuration as existing instances. New capacity is identical to what is already running.
Scheduled, tested, and executed with rollback paths defined before work begins.
Documented procedures within agreed windows. Services drained, connections closed gracefully, restarts sequenced to your workload’s requirements.
Storage cryptographically wiped. Resources released. Network paths and access credentials revoked.
High clock speed, dedicated cores, lower memory. For CPU-bound, latency-sensitive workloads.
High memory relative to CPU. For large in-memory datasets, caches, and state tables.
Even distribution across CPU, memory, and storage. General-purpose.
High-throughput local NVMe with elevated IOPS. For heavy read/write workloads such as databases and logging.
Every region uses the same build process, the same configuration controls, and the same operational procedures. There is no per-region onboarding. Region is a parameter in your deployment, not a separate project.
Orchestration and fabric layers for placement, scaling, and lifecycle automation. Low-latency systems where deterministic network paths are required. Monitoring, audit, and disaster recovery for observability and continuity. End-user compute, where per-user instances depend on the backend services running in this layer.
Application logic or platform-specific configuration. Orchestration control planes. Upstream data feeds, API gateways, or application-layer services.