Capability 03
Cloud infrastructure built for resilience.
Capability 03 / System profile
09 stages
Core disciplines
- Kubernetes
- Terraform
- CI/CD
- SRE
- Observability
- Disaster recovery
Works alongside
01Capabilities
What we engineer.
- 01
AWS
Multi-account landing zones, networking, IAM and managed services on Amazon Web Services, governed with organization-level guardrail policies.
- 02
Azure
Management-group and subscription hierarchies, Microsoft Entra ID integration, networking and platform services on Microsoft Azure.
- 03
Google Cloud
Organization, folder and project structures with organization policies, VPC design and managed data and container services on Google Cloud.
- 04
Kubernetes
Production clusters with multi-zone node pools, autoscaling, network policies, ingress, secrets management and GitOps-based deployment.
- 05
Docker
Minimal, reproducible container images with pinned dependencies, non-root users, vulnerability scanning and signed builds.
- 06
Terraform
Infrastructure as code with reusable modules, remote state with locking, policy checks and plan review in pull requests.
- 07
CI/CD
Pipelines that build, test, scan and deploy every change, with environment promotion, progressive delivery and one-step rollback.
- 08
DevOps
Shared ownership between development and operations through automation, self-service environments and short feedback loops.
- 09
SRE
Service-level objectives, error budgets, on-call design, incident response and blameless post-incident reviews.
- 10
Observability
Metrics, logs and traces collected with OpenTelemetry, dashboards tied to SLOs and alerts that are actionable rather than noisy.
- 11
Disaster recovery
Backup, replication and failover strategies matched to each workload's recovery objectives, and verified through scheduled recovery drills.
02Reference architecture
A request path built for failure.
Traffic from browsers, mobile apps, partner systems and devices, arriving from many regions and networks.
- Browsers
- Mobile apps
- Partner APIs
- Devices
Platform layer
01 / 09
Users
Traffic from browsers, mobile apps, partner systems and devices, arriving from many regions and networks.
- Browsers
- Mobile apps
- Partner APIs
- Devices
03Platform engineering
Foundations that make delivery safe.
01Foundations
Structure and guardrails.
Landing zones
A pre-configured multi-account or multi-subscription environment with identity, networking, logging and security baselines in place before the first workload arrives. Every team starts from the same secure foundation.
Infrastructure as code
All infrastructure described in version-controlled code, reviewed in pull requests and applied by pipelines. Environments become reproducible, drift becomes detectable and every change becomes auditable.
Policy as code
Organizational rules, such as allowed regions, encryption requirements and tagging, expressed as automated checks in pipelines and cloud policy engines. Violations are blocked before deployment instead of found in audits.
02Delivery
Getting changes to production.
GitOps
The desired state of each environment lives in Git, and an agent in the cluster continuously reconciles reality to match it. Every change is a reviewed commit, and rollback is a revert.
Golden paths
Supported, documented templates for common workloads, with pipelines, observability and security preconfigured. Teams that follow them start from a production-ready service instead of a blank repository.
Progressive delivery
Releasing to a small share of traffic first through canary or blue-green deployments, with automated analysis of error rates and latency before the rollout widens.
03Operations
Running it reliably.
SLOs and error budgets
Service-level objectives define acceptable reliability from the user's perspective. The error budget, the unreliability the objective tolerates, sets how much release risk a team can take.
FinOps
Cost visibility by team, service and environment through tagging and allocation, with rightsizing, autoscaling and commitment planning treated as continuous engineering work.
Failure testing
Deliberately injecting failures, such as terminated nodes, lost zones or slow dependencies, to verify that redundancy and runbooks work before a real incident tests them.
04Disaster recovery
Recovery matched to what each workload needs.
Tier 01
Backup and restore
Data is backed up to another region or account, and infrastructure is recreated from code when needed.
- Recovery time
- Hours
- Standing cost
- Lowest
- Fits
- Internal tools, batch workloads and systems that tolerate extended downtime.
Tier 02
Pilot light
Core data is replicated continuously and minimal infrastructure runs in the recovery region, scaled up on failover.
- Recovery time
- Tens of minutes
- Standing cost
- Low
- Fits
- Business systems that need faster recovery without paying for a full standby.
Tier 03
Warm standby
A scaled-down but fully functional copy of the environment runs in the recovery region and scales out on failover.
- Recovery time
- Minutes
- Standing cost
- Moderate
- Fits
- Customer-facing services with tight recovery objectives.
Tier 04
Multi-site active/active
Two or more regions serve traffic at the same time, with data replicated between them and traffic shifted away from a failing region.
- Recovery time
- Near zero
- Standing cost
- Highest
- Fits
- Systems where downtime is unacceptable and the data model supports multi-region operation.
Recovery times are typical orders of magnitude for each strategy, not commitments. Actual objectives depend on the workload, data volumes and automation, and are verified with recovery drills.
05Engineering approach
How we engineer cloud platforms.
- 01
Everything as code
Infrastructure, policy, pipelines and dashboards are versioned and reviewed. Nothing important is configured by hand.
- 02
Secure baseline first
Identity, network segmentation, encryption and logging are in the landing zone before any workload is deployed.
- 03
Design for zone failure
Production workloads span availability zones, and we test what happens when one disappears.
- 04
Reliability as a number
SLOs and error budgets turn reliability into an engineering target that can be measured and traded off.
- 05
Cost is an architecture concern
We model cost alongside performance, and make spend visible to the teams that create it.
- 06
Portable where it pays
We use managed services where they reduce operational load, and keep portability where lock-in carries real risk.
06Industries
Where we apply cloud engineering.
- 01
Technology
Multi-tenant SaaS infrastructure, developer platforms and delivery pipelines that support frequent, safe releases.
Explore Technology
- 02
Financial Services
Segmented, auditable cloud environments with strict identity controls, encryption and recovery planning.
Explore Financial Services
- 03
Telecommunications
Platforms for network analytics and operations workloads that must stay available under heavy, continuous load.
Explore Telecommunications
07Concept architectures
Cloud reference architectures.
- Concept Architecture
02Industrial
Industrial Predictive Maintenance
Vibration and thermal telemetry processed at the edge, modeled in the cloud and surfaced to maintenance planners as ranked, explainable work recommendations.
View architecture
- Concept Architecture
03Technology
Enterprise Cloud Modernization
An incremental path from a monolithic, data-center-hosted platform to containerized services on a governed multi-account cloud landing zone.
View architecture
- 06 total
All concept architectures
Illustrative reference architectures across industries and capabilities, each showing how we would approach a hard engineering problem.
Browse case studies
08FAQ
Common questions.
01Which cloud providers do you work with?
We engineer on AWS, Microsoft Azure and Google Cloud, and on hybrid environments that combine cloud with on-premises infrastructure. We do not resell cloud services, so recommendations are based on your workloads and existing estate.
02How do you approach cloud migration?
Workload by workload. We assess each application, decide whether to rehost, replatform, refactor or retire it, build the landing zone first and migrate in waves, with rollback plans and parallel running where the risk warrants it.
03Do we need Kubernetes?
Not always. Kubernetes suits organizations running many services that benefit from a common platform. For smaller estates, managed container services or serverless platforms are often simpler and cheaper to operate. We recommend based on your workloads and the team that will run them.
04How do you keep cloud costs under control?
Tagging and cost allocation by team and service, budgets and anomaly alerts, rightsizing, autoscaling, storage lifecycle policies and commitment planning. Cost is reviewed as part of architecture decisions, not only after the bill arrives.
05Can you operate the platform after it is built?
Yes. We can run the platform against defined SLOs with on-call coverage, or hand it over to your team with runbooks, dashboards and training. Shared operations with a planned transfer of ownership is also an option.
Cloud & Platform Engineering
Need infrastructure that stays up?
Tell us about your workloads, your current estate and your recovery objectives. We'll help you design a platform built for failure.