Interactive Companion

BCDR Assessment

Select critical services, model composite availability, assess operational readiness, and validate commitment feasibility.

Source baseline: Microsoft Azure (Microsoft Online Services SLA (WW), May 2026 (verified 2026-05-15))

Before setting targets, read how Azure defines availability, how it is measured, what is excluded, and how claims are filed.

Service picker includes every SLA-tracked service. Composite availability is calculated from the modeled options you select.

Important: provider SLA is not your product SLA. Set a lower customer commitment, define an internal SLO above that target, and document how planned maintenance, excluded events, and outage criteria are handled.

The first interview is provider-neutral. It captures the shared reliability decisions that matter across AWS, GCP, and Azure before cloud-specific implementation detail appears.

Verified Multi-Cloud SLA Sources
  • AZURE: Microsoft Azure (Microsoft Online Services SLA (WW), May 2026 (verified 2026-05-15))
  • AWS: Amazon Web Services (AWS Service Level Agreements index (verified 2026-05-15))
  • GCP: Google Cloud (Google Cloud Service Level Agreements index (verified 2026-05-15))
  • OCI: Oracle Cloud Infrastructure (OCI SLA page with PaaS and IaaS Pillar reference (verified 2026-05-15))

Autosave is browser-local only. Export or print for durable records.

0. Foundational Interview

Capture the operational and business context that determines BCDR risk appetite.

Team Readiness

Assess the operational maturity and team capability for recovery execution.

Readiness score

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High gaps

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Medium gaps

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RTO vs MTD

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Reputation exposure

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Reliability posture

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Team readiness

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    0a. Critical Flow Mapping

    Map user journeys to services. Ensures services are selected for a reason.

    1. Critical Path Services

    Add only services in the transaction path. Each service field is searchable inline.

    Catalog coverage: 689 services total (Azure 128, AWS 321, GCP 165, OCI 75).

    2. Composite Availability and Commitment

    Dependency availability estimate

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    Monthly downtime budget

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    Yearly downtime budget

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    Internal SLO target

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    Max SLA from dependency estimate

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    Model check (dependencies only)

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    This check models dependency availability only. Final SLA and SLO decisions must also include code quality, release risk, maintenance policy, exclusions, and outage definition.

    2a. Business Impact and DR Decision

    Translate reliability targets into financial exposure and force an explicit architecture decision when targets and posture conflict.

    Max downtime loss (MTD)

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    Annual expected loss

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    Data loss exposure (RPO)

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    Customer trust risk

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    DR compatibility

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    Maturity path

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    4. Fastest Ways to Improve Availability
      Resource-Specific APRL Recommendations

      Recommendations are filtered from APRL using your currently selected resources.

        3. WAF Reliability Crosswalk Coverage

        Checks are provider-specific for single-cloud scope. Multi-cloud scope evaluates each provider separately.

          Assessment Findings Register

          Prioritized findings and actions based on interview inputs, commitment feasibility, and selected resources.

            Cost-Benefit Simulator

            Compare recovery posture costs, complexity, and RTO tradeoffs.

            Scenario Simulator

            Dependency failure scenario

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            Regional outage scenario

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            Data corruption scenario

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            5. Executive Evidence Pack

            6. Export Before You Leave
            Downloaded locally from browser

            This prototype uses local state only; no server-side data persistence is enabled.

            No export yet in this browser session.