DockfieldAWS resilience engineering
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Purpose

Every landscape is unique.
Recovery should be too.

Dockfield exists to make AWS recovery fit the real client landscape — its architecture, dependencies, risk profile and recovery objectives — rather than forcing the estate into a generic disaster-recovery template.

Resilience is not a product you install.
It is a capability you prove.

We combine tailored engineering, recovery automation and evidence-driven testing so that when disruption becomes real, the recovery path is already understood, exercised and ready.

01 · Built around you

No two AWS estates fail — or recover — in exactly the same way.

A client may run ECS, EKS, EC2, managed databases, bespoke network paths, third-party dependencies and years of production drift. Dockfield starts from that reality. We discover the landscape and shape recovery around what actually makes the service work.

Custom by design. Scope, dependency order, warm capacity and recovery orchestration follow the client landscape.
No forced template. Existing controls and cloud-native capabilities are reused where they are already the right answer.
No initial IaC baseline required. Legacy and console-built estates can still become reproducible recovery infrastructure.
A recovery design shaped around a unique AWS landscapeDifferent application, network, data and security components converge into a tailored Dockfield recovery design.YOUR LANDSCAPE, NOT A TEMPLATEAPPECS · EKS · EC2NETVPC · DNS · edgeDATARDS · Aurora · S3TRUSTIAM · KMS · secretsTAILOREDRECOVERYBLUEPRINTdependencies · controls · evidence

02 · Engineered for speed

Customisation removes recovery friction.

Because the recovery path is designed around the exact estate, we can eliminate unnecessary steps, pre-position what governs speed and automate what is safe to recreate. The result is a recovery process engineered against a measurable time budget.

Sub-hour is a design target, not a slogan. Dockfield has previously achieved a scoped ECS recovery in under one hour; each new client target is validated through timed testing.
Keep the critical path warm. Network foundations, trust dependencies and data readiness stay positioned according to the target recovery time.
Rebuild elastic layers on demand. ECS or EKS capacity can be recreated where testing proves the time budget still holds.
Recovery engineered against a sub-hour targetA recovery clock surrounds orchestrated stages from trusted selection to traffic switch.TIME IS A DESIGN CONSTRAINT<60mTARGET WHEN SCOPE + TESTS SUPPORT IT01Select trusted state02Rebuild foundation03Recover workloads04Validate + switch

03 · Ready before the attack

Cyber resilience starts before ransomware lands.

AI-assisted attacks increase speed and scale for defenders and attackers alike. The durable response is not to assume prevention will always succeed, but to maintain a recovery capability that remains isolated, trustworthy and executable when production is under pressure.

Never recover blindly. Production-derived Terraform is quarantined, checked and promoted only after validation.
Recover from trusted evidence. Incident-time selection uses the newest approved state that predates the credible compromise boundary.
Exercise the whole path. Network, data and application tiers are tested together, because a backup alone does not prove service recoverability.
Recovery readiness contains the impact of cyber attackA protected recovery core remains ready while ransomware and AI-assisted attack paths are isolated outside it.READINESS LIMITS BLAST RADIUSRECOVERY READYlast-known-goodtested · isolated · measurableRANSOMWAREAI-ASSISTEDCREDENTIALSUPPLY CHAIN

What guides the work

Four principles behind every Dockfield engagement.

Fit

Architecture before product.

We start with business services, dependencies and failure modes — then choose the AWS patterns that fit.

Proof

Evidence before confidence.

Plans, tests, manifests and timed exercises turn recovery from documentation into demonstrated capability.

Trust

Known-good before latest.

The newest configuration is not automatically the safest one after compromise. Recovery state must be selected deliberately.

Efficiency

Warm only what earns its cost.

Recovery speed and evidence determine what stays live. Elastic compute can remain off until needed when tests support it.

The purpose is simple: reduce uncertainty when the incident is no longer hypothetical.

Free initial consultation

Build recovery around your landscape.

Start with one critical workload. We will map what must be warm, what can be rebuilt, how data returns and what evidence is needed to prove the recovery objective.

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