The stack behind the platform.

The orchestration layer under every containerised workload we run.

Containers & orchestration

Hardened Kubernetes distribution for clusters with strict security baselines.

Containers & orchestration

Lightweight Kubernetes for edge sites and small footprints.

Containers & orchestration

Container builds and local development parity.

Containers & orchestration

Packaging and versioning for everything deployed to a cluster.

Containers & orchestration

Private image registry with scanning, signing and replication.

Containers & orchestration

Fleet management across clusters and environments.

Containers & orchestration

Service mesh for mTLS, traffic shaping and policy between services.

Containers & orchestration

Virtualisation and clustering under the private cloud platform.

Virtualization & private cloud

Private cloud infrastructure services at data-centre scale.

Virtualization & private cloud

The Linux hypervisor virtual machines actually run on.

Virtualization & private cloud

Supported where an existing estate already runs on it.

Virtualization & private cloud

Pipelines for build, test, scan and deploy.

CI/CD, GitOps & IaC

Pipelines with OIDC to cloud accounts and no stored keys.

CI/CD, GitOps & IaC

Long-standing pipelines we operate and modernise in place.

CI/CD, GitOps & IaC

GitOps delivery: clusters reconcile what is committed to Git.

CI/CD, GitOps & IaC

Infrastructure as code for every environment we build.

CI/CD, GitOps & IaC

Open-source Terraform alternative where licensing matters.

CI/CD, GitOps & IaC

Configuration management and repeatable operational runbooks.

CI/CD, GitOps & IaC

Infrastructure as code in a general-purpose language.

CI/CD, GitOps & IaC

Self-hosted Git where the repository itself must stay local.

CI/CD, GitOps & IaC

Managed relational database with point-in-time recovery.

Databases & streaming

Synchronous MySQL clustering for high-availability workloads.

Databases & streaming

Caching, queues and session storage.

Databases & streaming

Event streaming clusters for high-throughput pipelines.

Databases & streaming

Message broker clusters for task and integration workloads.

Databases & streaming

Document database for applications that need it.

Databases & streaming

Wide-column store for write-heavy, distributed data.

Databases & streaming

Columnar analytics over large event volumes.

Databases & streaming

Distributed NoSQL with caching built in.

Databases & streaming

S3-compatible object storage inside your own environment.

Storage

Rust-based S3-compatible object storage for high-throughput workloads.

Storage

Replicated block storage for Kubernetes, with snapshots and backup.

Storage

Unified block, file and object storage at cluster scale.

Storage

Ingress and routing with automatic certificate management.

Networking & ingress

Load balancing and TLS termination at the edge of the platform.

Networking & ingress

Load balancer addresses for clusters outside a public cloud.

Networking & ingress

The successor to Ingress: richer, role-separated traffic routing.

Networking & ingress

The proxy underneath service mesh and API gateway layers.

Networking & ingress

eBPF networking, network policy and flow visibility.

Networking & ingress

Service discovery and service mesh across mixed environments.

Networking & ingress

Reverse proxy and ingress where it is already the standard.

Networking & ingress

Encrypted tunnels between sites, clusters and operators.

Networking & ingress

Secrets management and short-lived dynamic credentials.

Security & secrets

Vulnerability scanning for images, dependencies and IaC.

Security & secrets

Static analysis and quality gates in the delivery pipeline.

Security & secrets

Self-hosted identity, SSO and access control.

Security & secrets

Identity-aware access to internal services without a flat VPN.

Security & secrets

Metrics collection and alerting rules across the platform.

Observability

Dashboards for platform and application health.

Observability

Vendor-neutral traces, metrics and logs from applications.

Observability

Log search and retention for investigation and audit.

Observability

Accelerated compute for training, fine-tuning and inference.

AI & data science

Vector database for retrieval-augmented applications.

AI & data science

Vector search at large scale.

AI & data science

Vector database with hybrid search built in.

AI & data science

Vector search inside PostgreSQL, next to existing data.

AI & data science

High-throughput serving for open-weight language models.

AI & data science

Stateful agent and workflow orchestration for LLM applications.

AI & data science

Application framework for retrieval and tool-using models.

AI & data science

The service layer most AI applications are exposed through.

AI & data science

Experiment tracking and model registry.

AI & data science

Versioning for datasets and model artefacts.

AI & data science

Distributed training and batch inference.

AI & data science

Scheduling for data and model pipelines.

AI & data science

Integrated where a workload genuinely belongs in public cloud.

Cloud & hosting

Hybrid designs alongside locally operated infrastructure.

Cloud & hosting

Used selectively, usually for data and AI services.

Cloud & hosting

AWS services on hardware inside your own facility.

Cloud & hosting

Azure services operated on local infrastructure.

Cloud & hosting

Edge protection, DNS and DDoS mitigation in front of the platform.

Cloud & hosting

Straightforward capacity for smaller or non-regulated workloads.

Cloud & hosting

Cost-efficient European capacity for suitable workloads.

Cloud & hosting

Budget capacity for development and non-critical environments.

Cloud & hosting

European infrastructure where jurisdiction matters.

Cloud & hosting