Resilience Solutions

Cloud & Infrastructure

A secure, scalable cloud foundation for continuous change.

Assess, migrate, modernize and operate workloads with reliability, security, cost and developer experience designed in from the start.

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The problems this solves

What usually brings people here

If one of these sounds like your situation, this is the right page.

  • Our cloud bill is growing faster than our usage.

    No cost attribution, no rightsizing discipline, and architectural choices made without visibility of their run-rate consequences.

  • We lifted and shifted and nothing improved.

    Workloads moved without changing how they run, so the same operational constraints arrived in a more expensive place.

  • Every environment is slightly different.

    Configuration drift between development, test and production means defects appear late and are hard to reproduce.

  • We cannot tell what is happening in production until a customer tells us.

    Logs, metrics and traces exist but are not correlated, so detection depends on someone noticing.

Capabilities

What we actually do

  • Cloud strategy and assessment

    Workload analysis, migration approach and a business case grounded in run-rate reality.

  • Landing zones

    Account structure, network, identity, policy and guardrails established before workloads arrive.

  • Migration

    Infrastructure, data, platform and application migration with rollback planned at every stage.

  • Cloud-native architecture

    Containers, Kubernetes, serverless and managed services chosen against operational capacity.

  • Infrastructure as code

    Reproducible environments with drift detection and peer-reviewed change.

  • DevOps and DevSecOps

    CI/CD pipelines with security scanning, secrets management and policy checks built in.

  • Platform engineering

    Internal developer platforms and golden paths that reduce friction for every team.

  • FinOps

    Cost visibility, attribution, rightsizing and commitment planning as a continuous practice.

  • Site reliability engineering

    Service level objectives, error budgets, incident response and blameless review.

  • Observability

    Correlated logs, metrics and traces designed around the questions asked during an incident.

  • Backup and disaster recovery

    Recovery objectives defined, implemented and — critically — tested.

How it fits together

What a cloud estate is, below the applications

Migrations are judged on the bottom tier. Landing zone, network, identity, observability and cost model decide whether everything above them is operable.

  1. 01

    Users and channels

    • Employees
    • Customers
    • Partners
    • Devices
    • Machine clients

  2. 02

    Applications and interfaces

    What the estate exposes

    • Web and mobile
    • APIs and events
    • Integration
    • Identity and access

  3. 03

    Runtime

    Where workloads actually run

    • Containers
    • Kubernetes
    • Serverless
    • Managed data services
    • Infrastructure as code

  4. 04

    Foundation

    The parts nobody sees until they fail

    • Landing zone
    • Network and segmentation
    • Security controls
    • Observability
    • Cost and capacity

How we approach it

Principles we hold to

  • Landing zone before workload

    Identity, network, policy and cost structure are far cheaper to get right before workloads arrive than to retrofit afterwards.

  • Migrate with intent

    Rehost, replatform and refactor are different decisions with different costs and benefits. Applying one uniformly across an estate wastes money in both directions.

  • Operability is a design input

    Observability, recovery and cost attribution are designed alongside the architecture, not added when the first incident exposes their absence.

Outcomes

What you should end up with

  • A governed platform that accelerates delivery and resilience.
  • Cloud cost that is attributable, predictable and actively managed.
  • Environments that are reproducible rather than hand-maintained.
  • Incidents detected by monitoring rather than by customers.

Where this usually starts

A short working session on your situation — what you are trying to change, what is in the way, and whether this is the capability that addresses it.

Discuss a cloud or platform initiative

Evidence

What changes, and how you would know

Two different things belong here. One is the structural change this capability makes, which we can describe today. The other is a client outcome, which publishes only when a client has approved it in writing with a timeframe and a baseline.

Legacy platform to a system that can change
Illustrative transformation model

Modernization is usually described as a technology move. What actually changes is how long it takes to make a change safely.

Before · The estate today
  • One deployable, released on a quarterly window
  • Business logic duplicated across the application and the database
  • Regression tested manually, so the cost of a change scales with its size
  • Environments that differ from production in ways nobody has written down
After · What it becomes
  • Separable services with owners, deployed independently
  • Logic in one place, with the contract stated and tested
  • Regression automated at the level below the interface
  • Environments produced from the same definition as production

What moved: The constraint moves from the release window to the decision itself. Nothing about the business logic is claimed to improve — what improves is how quickly it can be corrected.

A structural model of the change, not a record of an engagement. No client, figure or timeframe is implied — those publish only against an approved claim.

Client outcomes for Cloud & Infrastructure

Proof pending approval

A published outcome here will carry the client's written approval, the timeframe it was measured over and the baseline it was measured against. Until all three exist, this section says so rather than showing a figure you could not check.

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Where this capability leads

Every connection below is recorded in the content itself, and each one says why it is here.

Explore where this capability fits

Answer four questions about your goal, sector, environment and constraint, and see how this capability sits alongside the others in a path — with the reasoning shown.

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Questions

Frequently asked

Is lift-and-shift ever the right migration approach?
Yes — when there is a hard deadline such as a data-center exit, when the application is stable and near end-of-life, or when moving first creates the option to modernize later with less pressure. It is the wrong default, because it relocates operational constraints rather than removing them, but it is a legitimate deliberate choice.
Why do cloud costs rise after migration?
Usually because on-premises capacity was fixed and paid for upfront, while cloud capacity is elastic and billed continuously. Without cost attribution, rightsizing and commitment planning, environments that would previously have been decommissioned simply keep running. FinOps is the practice that closes that gap, and it works best when established before migration rather than after the first surprising invoice.
What is platform engineering and how is it different from DevOps?
DevOps is a set of practices for how teams build and run software. Platform engineering builds an internal product — a paved path with tooling, templates and guardrails — so those practices are available to every team without each one solving the same problems. DevOps describes the goal; platform engineering is one way of making it repeatable at scale.

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Tell us what you are trying to change. Someone who does this work reads every request and connects you with the right capability team.

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