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Cloud at Scale

Scale with demand. Recover with confidence.

Capacity planning, repeatable environments and rehearsed recovery for business-critical workloads.

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Infrastructure capacity increases as demand grows.Capacity follows demandProvisioned capacityDemandBaselineScaleIllustrative system view

Inside the system

How the controls connect.

A failure path you have rehearsed.Illustrative flow
● Approved flow⊗ Blocked / held
A failure path you have rehearsed.Application traffic and Versioned configuration pass through Route healthy traffic, Observe dependencies, Execute recovery before reaching Primary environment or Recovery environment. Escalate when recovery checks fail. Recovery exercise → evidence → runbook revision.INPUTSAVAILABILITY & RECOVERY DESIGNRESOURCES & OUTCOMESApplication trafficCustomer-facing servicesVersioned configurationRepeatable deployment templatesRoute healthy trafficHealth checks · service routingObserve dependenciesErrors · latency · availabilityExecute recoveryAgreed recovery objectivesPrimary environmentApplications · services · dataRecovery environmentRestore · verify · resumeEscalate when recovery checks fail

Inputs

Application trafficCustomer-facing services
Versioned configurationRepeatable deployment templates

Availability & recovery design

1
Route healthy trafficHealth checks · service routing
2
Observe dependenciesErrors · latency · availability
3
Execute recoveryAgreed recovery objectives

Outcomes

Primary environmentApplications · services · data
Recovery environmentRestore · verify · resume

Escalate when recovery checks fail

Recovery exercise → evidence → runbook revision

Scope of delivery

What gets built.

Dependency map

Critical services, data flows and failure points.

Versioned infrastructure

Repeatable environments and controlled deployments.

Recovery procedures

Backup, restore and failover against agreed objectives.

Operating evidence

Recovery test results, alerts and ownership.

Delivery templates

Capacity, configuration and recovery records.

Plan from measured demand, record how environments are rebuilt, and check recovery against agreed targets.

nexarq / capacity planWorking template

Workload capacity and scaling plan

Translate measured demand and application dependencies into a testable capacity plan.

WorkloadMeasure or agreeDesign and test output
Customer-facing serviceNormal and peak request rates, latency target and downstream limits.Scaling limits, load-test profile and the point where latency exceeds the target.
DatabaseRead/write demand, connection limits, storage growth and recovery objectives.Connection budget, capacity alerts and a restore test.
Background jobsArrival rate, processing time, maximum backlog age and retry behaviour.Worker concurrency, queue limits and a backlog-drain test.

Before you close the record

  • Every sizing assumption has a measurement or a named owner.
  • The load test includes downstream services and failure conditions.
  • Scaling limits and budget alerts are reviewed before release.

Set capacity targets from the workload. This template does not prescribe a default instance size or traffic target.

From brief to operation

A clear path to production.

  1. Baseline

    Asset inventory. Dependencies. Effective controls.

  2. Engineer

    Target architecture. Policies. Versioned configuration.

  3. Validate

    Behaviour tests. Exceptions. Recovery checks.

  4. Operate

    Cutover record. Runbooks. Named owners.

Let’s build what’s next

Your next move.
Engineered by Nexarq.

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