Cloud & Data
Infrastructure you can reason about. Data you can trust.
01The capability
Cloud platforms, delivery pipelines and data foundations defined as code. We make infrastructure reproducible and observable, and data governed and documented, so releases become routine and numbers become reliable.
02Services in this capability
Hover a service to see its form. Services with their own page open it; the rest are described here in full.
- 23Cloud Solutions
Cloud architectures designed for resilience, cost control and regional scale. AWS, Azure or Google Cloud, defined as code.
Service page →Cloud migration · Multi-region architecture · Serverless · Cost optimisation - 24DevOps & Infrastructure
Pipelines and platforms that make releasing software routine. Infrastructure as code, automated testing and observability by default.
Described hereCI / CD · Kubernetes · Terraform · Monitoring & alerting - 25Database & Data Solutions
Data models and databases designed for correctness first, then speed. Schema design, query performance and migrations without downtime.
Described herePostgreSQL & SQL Server · Performance tuning · Replication & backup · Zero-downtime migration - 26Data Platforms & Analytics
Pipelines, warehouses and models that turn operational data into decisions. Governed, tested and documented from source to dashboard.
Service page →Warehouses & lakehouses · dbt pipelines · BI dashboards · Data governance
03Typical problems we solve
When this capability is the answer.
- P.01
Releases are manual, risky and depend on a few people who know the steps.
- P.02
Cloud costs grow faster than usage, and nobody can explain why.
- P.03
Reports from different teams disagree about the same metric.
- P.04
Databases are slow, unbacked or impossible to migrate safely.
04Example solution types
What it usually becomes.
- S.01
Cloud foundations
Landing zones and multi-region architecture as code. - S.02
Delivery pipelines
Automated tests and progressive rollout. - S.03
Data platforms
Tested transformations, governed access. - S.04
Database engineering
Performance, replication, zero-downtime migration.
05Approach
Four steps, one team throughout.
- 01
Assess
Architecture, cost, reliability and data quality.
- 02
Codify
Infrastructure and pipelines as code.
- 03
Migrate in stages
Reversible steps and parallel runs.
- 04
Observe
Metrics, logs, traces, data tests and budgets.
06Related technologies
Typical, not mandatory. Chosen per project, with your existing stack first.
BeginCloud & Data
Bring us the problem.
We will bring the system.
A first conversation maps the problem to the right services, in the right order. No obligation, no slideware.