03 · Cloud & Platform Engineering
Infrastructure you can read, repeat and afford.
When teams call us
You might be here because…
- 01Deploys are manual, slow or frightening.
- 02Your system works until traffic arrives, and then it doesn’t.
- 03The cloud bill grows faster than the business.
- 04Nobody can say what is running in production, or why.
- 05You are moving from a monolith, a data center or one cloud to another.
01What we build
Cloud & Platform Engineering, in practice.
01
Cloud-native architecture
Service boundaries, data ownership and failure domains designed on AWS, Azure, Google Cloud or Cloudflare, chosen for your workload, not for fashion.
02
Distributed and event-driven systems
Queues, streams and workflows that decouple services, absorb spikes and make retries safe through idempotency.
03
Edge and serverless
Workloads that run close to users with minimal operations overhead, and a clear view of where serverless stops being the cheaper option.
04
Infrastructure as code
Every environment defined in code, reviewed like code and reproducible from scratch. No hand-built servers nobody dares to touch.
05
Delivery pipelines and platforms
CI/CD with fast feedback, preview environments, safe rollouts and internal tooling that shortens the path from commit to production.
06
Observability
Logs, metrics, traces and alerts tied to what users experience, with dashboards and runbooks that make incidents shorter.
07
Migrations
Moving systems between clouds, regions or architectures in stages, with rollback at each step and no big-bang weekends.
02How we hold the line
The standards that come with it.
- Everything as code
- Infrastructure, pipelines, dashboards and alerts live in version control. If it isn’t in the repository, it doesn’t exist.
- Designed for failure
- Timeouts, retries with backoff, circuit breakers and graceful degradation are part of the design, and restore procedures are tested, not assumed.
- Service levels you choose
- We help you define the availability and latency targets that matter to your users, then measure them. We don’t promise numbers we haven’t measured.
- Cost as a design input
- Cost per request, per tenant or per job is modelled early and tracked, so scaling up doesn’t mean scaling your bill out of proportion.
- Least privilege everywhere
- Service identities, scoped credentials, network boundaries and secrets managers, with access reviewed, not accumulated.
03Across the loop
How this practice shows up at every stage.
01 · 000°
Design
Workload analysis, architecture options and the trade-offs written down as decisions.
02 · 060°
Engineer
Services and infrastructure built as code with the pipeline that deploys them.
03 · 120°
Integrate
Queues, APIs and data flows between services and third parties, with contracts.
04 · 180°
Secure
Identity, network boundaries, secrets and audit logging reviewed before go-live.
05 · 240°
Scale
Load tests, autoscaling and caching tuned against real traffic patterns.
06 · 300°
Maintain
Patching, upgrades, cost reviews and on-call runbooks that stay current.
04Tools we reach for
Chosen for your constraints, not our habits. These are common starting points, not a catalogue.
- Clouds
- AWSGoogle CloudAzureCloudflare Workers
- Infrastructure
- Terraform and OpenTofuDockerKubernetes where it earns its complexity
- Operations
- GitHub Actions and GitLab CIOpenTelemetryPrometheus and Grafana
05How engagements run
How engagements run
Platform assessment
A short review of architecture, delivery, reliability and cost, with a prioritized plan.
Platform build or migration
Design and delivery of new infrastructure or a staged migration.
Reliability partnership
Ongoing SRE and platform work alongside your team.
See how an engagement runs, from the first call to handover.
Questions
What people ask first.
Often not. Managed services, containers on simpler platforms or serverless can be cheaper to run and easier to hire for. We recommend Kubernetes when your scale and team make it worth its complexity.
Yes, that is our default. Infrastructure is built in your accounts, under your policies, and remains yours.
In stages: run old and new side by side, move traffic gradually, verify at each step and keep a rollback path until the old system can be retired.
Start a conversation
Which deploy does everyone quietly dread?
A few lines are enough. We reply in writing, with questions rather than a sales deck.

