Cloud-native
Kubernetes & cloud-native
Your databases, orchestrated. Without sacrificing reliability.
Stateful workloads on Kubernetes are rightly intimidating: a poorly operated database inside a cluster means an incident that spreads fast. We combine our two areas of expertise — the heart of data and systems engineering — to design and operate cloud-native platforms where your databases run in production with confidence. And because we run what we sell, we only talk about what we actually practise.
Cluster design & operations
Build a platform meant to last in production. Cluster architecture, sizing, resilience and upgrade strategies, hardening — from a starter cluster to a multi-node platform operated day to day.
- Kubernetes cluster architecture and sizing
- High availability, upgrade and recovery strategies
- Hardening, access management and best practices
Stateful databases on Kubernetes
Let data and orchestration coexist, with confidence. Deployment and operation of databases through proven operators — CloudNativePG for PostgreSQL, Percona Operators, MongoDB Operator — with the backup, failover and restore rigour that has been our craft from the start.
- Database operators (CloudNativePG, Percona, MongoDB)
- Automated backup, replication and failover
- Migration of existing databases to Kubernetes
GitOps & industrialisation
Deploy in a reproducible, traceable, reversible way. GitOps pipelines (Argo CD, Flux), Infrastructure as Code and deployment pipelines, so every change is versioned, reviewed and revertible.
- GitOps workflows (Argo CD, Flux)
- Continuous, reproducible deployment pipelines
- Versioned configuration management
Observability & monitoring
See what is happening before it breaks. Metrics, logs and alerting with Prometheus and Grafana — which we can plug into our own DBK platform for a unified view of your databases and systems.
- Prometheus / Grafana monitoring
- Alerting and operational dashboards
- Integration with the DBK platform
A production cluster needs watching and support. Our 24/7 on-call naturally extends to your Kubernetes platforms.