Cloud & Platform Engineering
Make the safe path the fastest path.
We build internal platforms, cloud foundations and deployment pipelines that let product teams move without waiting on anyone.
- AWS · GCP · Azure
- Terraform-first
- SOC 2 ready
What it is
A platform is a product with internal customers
Cloud spend rises, deploys get slower, and every team rebuilds the same pipeline slightly differently. That is not a tooling problem — it is a missing product.
We treat the platform as exactly that: a paved road with an owner, a roadmap and users whose satisfaction is measured. Golden paths, sensible defaults, and an escape hatch for the teams that genuinely need one.
- Infrastructure as code, no console drift
- Self-service environments in minutes
- Cost and security guardrails by default
- Golden paths, not mandates
Deployment frequency
Typical increase within two quarters
Cloud spend reduced
Median saving after cost engineering
Environment provisioning
Down from multi-day ticket queues
Capabilities
Where we work
Cloud foundations
Account structure, networking, identity and policy laid down as code, so the tenth environment costs the same as the second.
- Landing zones
- Identity + access
- Policy as code
Internal developer platform
Self-service templates and environments that turn a two-week provisioning ticket into a pull request.
- Service templates
- Ephemeral environments
- Developer portal
Kubernetes and runtime
Cluster design, workload isolation and the operational tooling to run it without a dedicated hero on call.
- Cluster architecture
- Autoscaling
- Progressive delivery
Observability
Metrics, traces and logs wired to service-level objectives, so alerts fire on customer impact rather than CPU.
- SLOs and error budgets
- Distributed tracing
- Actionable alerting
Cost engineering
Attribution down to the team, rightsizing, and the commitments worth making once usage is actually understood.
- Cost attribution
- Rightsizing
- Commitment planning
Resilience
Failure-mode analysis, game days and recovery testing — because an untested backup is a hypothesis.
- Game days
- DR testing
- Incident response design
What changes
Deploys become boring
Multiple times a day, on a Friday, without ceremony.
Onboarding in hours
A new engineer ships to production on their first week.
Spend you can explain
Every dollar attributed to a team and a workload.
Audit stops hurting
Evidence generated by the pipeline, not assembled by hand.
Process
How we engage
01
Assess
Two weeks mapping your current estate, delivery flow and cost profile against where you intend to be.
- Current-state map
- Prioritised gap list
02
Foundation
The landing zone, pipeline and first golden path, delivered as code your team reviews and owns.
- Terraform modules
- Reference pipeline
03
Migrate
Workloads move onto the paved road one service at a time, with rollback available at every step.
- Migration runbooks
- Cutover plan
04
Operate
We run it with you, then hand over the on-call rotation and the roadmap.
- Runbooks
- SLO dashboards
Stack
Technologies we use here
Sectors
Industries we deliver this in
Proof
Related work
Also relevant
Related services
FAQ
Questions we are asked
No, and mandating it is the fastest way to kill adoption. We build a path good enough that teams choose it, and we keep a documented escape hatch for the cases where it genuinely does not fit.
Find out what your platform is costing you
We will map your delivery flow and cloud spend in two weeks and show you where the time and money actually go.