Operations, Reliability & FinOps · Guide

Backup, Recovery, and Business Continuity

Defines backup, restore, disaster recovery, cyber-recovery, and continuity controls based on business-approved recovery objectives.

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Purpose

This standard defines requirements for backup, restore, disaster recovery, cyber-recovery, and business continuity across multi-cloud workloads. A backup that has never been restored is an unverified copy, not a recovery capability. Recovery requirements must be derived from business impact and validated through evidence-producing exercises.

Scope

The standard applies to structured and unstructured data, managed databases, virtual machines, Kubernetes state, object storage, file systems, configuration, secrets, identity dependencies, infrastructure as code, application releases, SaaS data where contractually relevant, and operational documentation.

High availability and disaster recovery are related but distinct. High availability reduces interruption from localized failures; disaster recovery restores service after a severe or correlated disruption. Backup protects recoverable state; it does not by itself provide service continuity.

Business requirements

Each production service MUST have a business-approved recovery specification containing:

service criticality and maximum tolerable outage;
RTO and RPO by business process and data set;
minimum service level during continuity mode;
regional, provider, identity, network, personnel, and supplier failure assumptions;
legal, residency, retention, and deletion requirements;
recovery sequence and upstream/downstream dependencies;
communication, decision, and authority model;
exercise frequency and evidence requirements.

RTO and RPO must be technically feasible and funded. Copying aggressive targets from another workload without architecture and cost analysis is invalid.

Recovery strategy patterns

Pattern	Characteristics	Appropriate use
Backup and restore	Lowest steady-state cost; longest recovery	Tier 3, non-critical systems, archival recovery
Pilot light	Core data/services maintained, capacity scaled during event	Moderate RTO/RPO with controlled cost
Warm standby	Reduced-capacity secondary environment ready to scale	Tier 1–2 services needing faster recovery
Active-passive	Full or near-full secondary, traffic switched on failure	Strict RTO; regional isolation required
Active-active	Multiple sites serve traffic concurrently	Highest continuity requirement; complex data consistency and operations
Multi-cloud recovery	Secondary provider supports critical path	Only where provider concentration risk justifies major complexity and duplicated capability

Multi-cloud disaster recovery is not automatically superior. Identity, data semantics, managed-service differences, networking, operational skill, and testing complexity may make it less reliable than well-engineered multi-region recovery within one provider.

Reference architecture

flowchart LR PROD[Primary workload region] --> REPL[Replication and change capture] PROD --> BAK[Policy-based backups] REPL --> DR[Secondary recovery region] BAK --> VAULT[Isolated backup vault / object storage] VAULT --> IMM[Immutability, retention lock, separate authorization] IAC[Infrastructure and configuration as code] --> DR ART[Versioned application artifacts] --> DR DNS[Global traffic / DNS control] --> PROD DNS --> DR TEST[Recovery validation environment] --> VAULT TEST --> EVID[Recovery evidence]

Backup controls

Backup policies MUST map to RPO, retention, legal, and lifecycle requirements.
Backup copies for Tier 0/1 systems MUST be isolated from primary administrative credentials and destructive control paths.
Critical backups MUST use immutability, retention lock, write-once controls, or equivalent protection where supported and legally appropriate.
Encryption keys and recovery credentials MUST be recoverable under emergency procedures without depending on the failed environment.
Backup jobs, missed schedules, capacity, retention expiry, and deletion events MUST be monitored.
Backup scope MUST include metadata and configuration required for restoration, not only data files.
Infrastructure and application deployment definitions MUST be versioned outside the runtime environment.
SaaS and managed-service backup responsibility MUST be explicitly evaluated; provider durability is not equivalent to customer-controlled recovery.

Backup topology

Use the 3-2-1 principle as a risk heuristic, not a literal universal rule: maintain multiple recoverable copies, use failure-isolated storage or technology, and keep at least one copy isolated from the primary blast radius. For ransomware-sensitive systems, include logically or physically isolated recovery points and privileged-access separation.

Database and data consistency

Recovery design must define:

crash-consistent versus application-consistent backups;
point-in-time recovery window;
transaction consistency across multiple databases or services;
replay, deduplication, and idempotency for message-driven workloads;
replication lag and failover data-loss behavior;
reconciliation after restore or failback;
handling of encryption keys, schema, users, permissions, and extensions.

A technically successful database restore is not sufficient if the restored data cannot be reconciled with queues, object stores, search indexes, downstream reports, or external partners.

Kubernetes and cloud-native workloads

Kubernetes recovery must distinguish between:

Declarative state: cluster configuration, manifests, Helm charts, operators, policies, ingress, and GitOps sources.
Persistent application data: volumes, databases, object stores, and external managed services.
Cluster-specific state: secrets, certificates, admission configuration, identity bindings, and custom resources.

Recreating a cluster from infrastructure as code is preferable to restoring opaque control-plane state when architecture permits. Persistent data protection and restore ordering remain mandatory.

Disaster-recovery orchestration

sequenceDiagram participant IC as Incident Commander participant BO as Business Owner participant OPS as Recovery Team participant CP as Cloud/Platform Control Plane participant APP as Application Team participant COM as Communications IC->>OPS: Assess failure and recovery options OPS->>IC: Evidence, estimated RTO/RPO, risks IC->>BO: Request disaster declaration when threshold met BO-->>IC: Authorize continuity mode / recovery IC->>COM: Publish approved status OPS->>CP: Activate recovery infrastructure and network APP->>APP: Restore data, validate dependencies and transactions APP-->>IC: Technical validation and residual data loss IC->>BO: Request service restoration approval BO-->>IC: Approve business resumption IC->>COM: Communicate restoration and monitoring period

Recovery plans must state who can declare a disaster, initiate failover, accept data loss, approve business resumption, and authorize failback.

Validation

Test type	Objective	Minimum evidence
Backup integrity test	Confirm backup is readable and complete	Job ID, recovery point, validation result
Component restore	Restore one database, file set, volume, or configuration	Duration, data checks, defects
Application recovery	Rebuild and validate the service in an isolated environment	RTO/RPO attained, user journey tests
Regional failover	Validate traffic, identity, network, data, and operations	Timeline, decision log, business validation
Cyber-recovery exercise	Recover using isolated credentials and clean-room assumptions	Compromise assumptions, chain of custody, clean validation
Business continuity exercise	Validate people, process, supplier, communications, and manual workarounds	Attendance, decisions, gaps, remediation plan

Tier 0 and Tier 1 services must conduct at least annual end-to-end recovery exercises, with more frequent component restores. Material architecture changes require retesting. Exercises must measure actual attainment, not mark a procedure as “completed.”

Multi-cloud service mapping

Capability	Azure	AWS	GCP	OCI
Central backup	Azure Backup	AWS Backup	Backup and DR Service plus service-native backups	OCI Backup services and service-native backups
VM disaster recovery	Azure Site Recovery	AWS Elastic Disaster Recovery	Backup and DR / image and replication patterns	OCI Full Stack Disaster Recovery and block-volume replication patterns
Object immutability	Immutable Blob Storage	S3 Object Lock	Bucket Lock / object retention policies	Object Storage retention rules
Database recovery	Azure SQL, Cosmos DB, PostgreSQL and other native PITR/replication features	RDS/Aurora/DynamoDB and native backup/replication features	Cloud SQL/Spanner/Firestore and native backup/replication features	Autonomous Database/DB Systems/Data Guard and native backup features
Recovery orchestration	Azure automation, Site Recovery plans, IaC	AWS Systems Manager, Step Functions, IaC	Workflows, Cloud Build/Deploy, IaC	Full Stack DR, Functions/DevOps, IaC

Service-specific retention limits, cross-region behavior, key management, and restore constraints must be verified in the selected region and service tier.

Continuity dependencies

Recovery plans must explicitly include identity, DNS, certificates, secrets, network connectivity, source repositories, artifact registries, CI/CD, observability, ITSM, communication channels, support contacts, and privileged workstations. A plan that depends on the failed identity or collaboration platform is incomplete.

Minimum compliance checklist

Business-approved RTO, RPO, and maximum tolerable outage exist.
Backup scope covers data, metadata, configuration, keys, and deployment artifacts.
Critical backups are isolated and protected from destructive administration.
Restore tests produce evidence and validate business transactions.
Regional/provider/identity/network failure assumptions are documented.
Recovery sequence and decision authorities are explicit.
Tier 0/1 services complete end-to-end exercises at least annually.
Failback and post-recovery reconciliation are defined.

Terminology

Term	Definition
SLI	A quantitative measure of service behavior, such as successful request ratio or latency.
SLO	A target value or range for an SLI over a defined measurement window.
SLA	A formal commitment that may include contractual remedies. It is not a substitute for an internal SLO.
Error budget	The permitted unreliability implied by an SLO. For a 99.9% availability objective, the error budget is 0.1% over the same window.
RTO	Maximum targeted elapsed time to restore a service after disruption.
RPO	Maximum targeted data-loss interval measured backward from the disruption.
MTTD / MTTA / MTTR	Mean time to detect, acknowledge, and restore or recover. Definitions must be fixed in the metric catalog.
Toil	Repetitive, manual, automatable operational work that does not create durable service improvement.

References

The following sources define the external baseline used by this standard. Provider features, regional availability, licensing, and product names must be verified during implementation.