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Case studies / Representative client stories

Better foundations. Measurable change.

These fictionalised representative engagements show how platform engineering can improve release confidence, cloud governance, and operational response. They are illustrative stories, not named real clients.

Three contexts, three practical outcomes

Representative client story

Northline Freight Systems

A brittle dispatch system and release process had made operational change feel risky. The freight teams needed reliable delivery pace without losing visibility of work in flight.

Logistics
Product teamsGoverned platformReliable service

Challenge

Monthly deployments, fragile environment setup, and inconsistent telemetry made it difficult to respond to route and demand changes.

Approach

We mapped dispatch dependencies with operations and engineering, moved service boundaries onto a managed Kubernetes foundation, and introduced a repeatable, policy-checked release workflow with observable service health.

Delivered capabilities

  • Kubernetes platform with workload templates and clear ownership
  • Infrastructure as code and environment promotion
  • GitOps deployment, progressive validation, and rollback practice
  • Service dashboards, actionable alerting, and operational runbooks

Measured outcomes

  • Deployment frequency moved from monthly to several times per week
  • Release preparation became repeatable across environments
  • Teams gained a shared view of dispatch service health and dependencies

Technical stack

Selected technologies and practices included:

KubernetesTerraformArgo CDGitHub ActionsOpenTelemetry-compatible telemetry

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Representative client story

Meridian Mutual

A regulated insurer needed a governed cloud baseline that could scale across teams while producing consistent evidence for internal review.

Regulated insurance
Product teamsGoverned platformReliable service

Challenge

Cloud accounts and projects had grown with inconsistent identity, policy, logging, and infrastructure change practices.

Approach

We designed a multi-account landing zone, automated foundational controls, and moved infrastructure changes into reviewed, evidence-producing workflows. Exceptions were explicit, time-bound, and owned.

Delivered capabilities

  • Governed account and network hierarchy
  • Identity and access patterns with central audit logging
  • Policy-as-code for foundational configuration
  • Versioned infrastructure workflows with reviewable change records

Measured outcomes

  • The governed baseline was rolled out across 14 cloud accounts
  • Automated guardrail checks covered 100% of tested foundational infrastructure in the initial rollout
  • Audit-ready evidence was available alongside infrastructure changes, with policy exceptions visible and attributable

Technical stack

Selected technologies and practices included:

AWS OrganizationsTerraformGitLab CIPolicy-as-codeCloud-native logging and security controls

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Representative client story

Cedar & Finch Commerce

A multi-region retailer wanted better insight into customer-facing services and a calmer response when incidents crossed application boundaries.

International retail
Product teamsGoverned platformReliable service

Challenge

Service teams had fragmented telemetry, unclear dependency signals, and a long path from customer symptoms to a useful diagnosis.

Approach

We modernised selected e-commerce services incrementally, introduced shared instrumentation and service-level indicators, and established incident roles and learning reviews across engineering and operations.

Delivered capabilities

  • Service instrumentation across metrics, logs, and traces
  • Customer-journey health signals and useful alert thresholds
  • Incremental service modernisation with controlled releases
  • Incident coordination practice, runbooks, and learning reviews

Measured outcomes

  • Major-incident recovery time reduced by 38% over the first two measured quarters
  • Teams identified service and dependency impact earlier
  • Operational learning became part of prioritising platform work

Technical stack

Selected technologies and practices included:

KubernetesOpenTelemetryManaged observability toolingGitHub ActionsCloud-native delivery controls

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We can help you identify a first step based on your architecture, team, and operating constraints.

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Your context is different

Start with the constraint that matters.

A conversation with an engineer can help separate a platform symptom from its underlying cause—and identify a proportionate next step.

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