Draft client turnover companion to Enterprise Architecture & Operations · Research current through 6 October 2026
Use established service-management practices and cloud operating guidance, then map them to the client's cloud/GSS boundary, existing investments and actual authority. Incident restoration, major-incident coordination, requests and changes need consistent ownership and evidence across both pipeline-delivered and retained workloads. Their execution paths can differ. Public DoD sources confirm operational automation in defined environments, although they disclose much less about unattended mission-application recovery and its authorization. We recommend designing a bounded response capability now, with adoption governed by evidence for each action. AI can assist investigation; it is neither necessary for routine automation nor a source of permission to execute. This handbook informs reference architecture, standards mapping and the sequence of acquisition, integration and configuration; it does not constitute completed client operating procedures.
Turn over the client record alongside Enterprise Architecture & Operations
The client turnover handbook accompanies Enterprise Architecture & Operations. Its job is to connect the recommended cloud/GSS architecture to the client's boundary, investments, responsibilities and remaining completion work. The source summaries below explain recommendations; they do not replace the applicable standards, licensed handbooks or client procedures. Each adopted requirement must point to the exact source, edition and section, followed by the client's applicability decision. An inaccessible edition or unverified section remains an unresolved variable until the client supplies authoritative evidence.
Populate this concise turnover record from Foundations and the architecture decisions. Keep existing capabilities that meet the need, and distinguish recommended actions from commitments or completed implementation.
| Turnover field | Client-specific entry |
|---|---|
| Boundary and service | GSS/cloud scope; service, accounts/sites/providers; exclusions; relevant mission dependencies; source/date/validator |
| Existing investment | Tool/platform and version, entitlement, operating owner, supported interfaces and verified current capability |
| Requirement or recommendation | Identifier; intended outcome; whether an adopted requirement or our recommendation; applicable service/action |
| Exact authority reference | Issuer; document title; edition/date; section/page/control; accessible link or authorized repository reference; verification status |
| Applicability and local decision | Why applicable; adopting authority; decision/date; approved variation or unresolved question; no assumed approval |
| Local action and responsibility | Keep/configure/integrate/acquire/validate; accountable owner; delivery team/provider; authority needed |
| Dependency and completion sequence | Predecessor decision/evidence; current/interim/future path; next action; blocker owner; target/review date if agreed |
| Acceptance and open variables | Required evidence and accepting authority; achieved/pending status; missing facts; expiry/review condition; evidence location |
Use one linked row per requirement or recommendation: requirement → exact source → local decision/action → owner → dependency → acceptance evidence. For example, a change-control entry can reference DESMF III section 9.3.3 only as historical research context while the client verifies its adopted edition and corresponding section. The completion action is to resolve that applicability and approved change pattern with the responsible owner, not to claim compliance from this report. Record current architecture decisions and accepted evidence separately from recommendations awaiting approval. The resulting handover is a traceable completion sequence; client teams still develop and authorize executable procedures within their own scope.
Existing authorities supply the practice; Foundations supplies applicability
The starting point is an authority register, not a new best-practice framework. Record each source's edition, applicable service/boundary, adopting authority and unresolved conflict. Distinguish mandatory client requirements from industry practice and vendor implementation guidance. Foundations supplies services, dependencies, people, tools, contracts, approved data locations, operating coverage and delegated decisions. The common architecture remains reusable while those variables determine the next useful step.
| Authority or handbook | What it contributes | Version and applicability boundary |
|---|---|---|
| DoD Enterprise Service Management Framework | DoD service-management context for incident, request and change practices | Publicly indexed Edition III is June 2016; an official DON document cites Edition IV, 18 October 2018. Do not label III current or infer current component procedures. |
| ITIL practice guidance | Shared service-management purposes and vocabulary | Public pages used here describe ITIL 4 practices. PeopleCert now offers ITIL Version 5 through a phased introduction; licensed guides were not accessed. |
| NIST SP 800-128 | Security-focused configuration management and controlled change | August 2011, updated October 2019; map through the client's adopted controls and configuration-management plan. |
| NIST SP 800-61r3 | Cybersecurity incident response linked to risk management | Final April 2025; supersedes Revision 2. It is not a complete service-desk or ordinary restoration handbook. |
| Cloud-provider operational guidance | Practical deployment, maintenance and recovery patterns | Living product guidance checked at the research cutoff; verify service availability, licensed capabilities and government-environment applicability. |
The DESMF source available to this research was official-domain indexed text; full PDF retrieval failed. The later DON citation establishes that Edition IV exists, but its full text was inaccessible. Obtain the client's adopted edition and component procedures before asserting conformity. DISA's historical acquisition guide also connects service acquisition to service-specific responsibilities and command/control; it is useful context rather than current delegated authority. (DESMF III, DON edition reference, DISA acquisition guide)
PeopleCert's public material supports a common practice basis without giving this report access to the complete licensed handbook. Avoid describing ITIL 4 as the latest edition or claiming exact Version 5 workflow parity. Use the client's adopted practice and obtain the relevant licensed material when implementation requires it. (PeopleCert transition, Change Enablement, Service Request Management)
Keep cyber response and service restoration connected but separately governed. NIST SP 800-61r3 addresses cybersecurity response across risk management. CISA's 2021 operational playbooks expressly concern Federal Civilian Executive Branch systems; other organizations can benchmark them, but that does not make them DoD command procedures. Current component, CSSP and mission reporting requirements require client verification. (NIST 800-61r3, CISA applicability statement)
The recommendations below are proposed architecture and acceptance requirements. They fit the existing enterprise architecture and operating work, including ITL incident/change/request integration, OPS monitoring and support, DSO controlled delivery, ATO evidence ownership and FIN cost accountability. The existing 30 requests / 51 positions / 10 domains / 53 workstreams remain unchanged. No additional offering, assessment schema or enterprise-repair commitment follows. (Canonical enterprise architecture; catalog source: src/domain-workstreams.js)
One service-management model supports several execution paths
DESMF III's indexed incident guidance emphasizes restoration rather than requiring root cause before service returns. It distinguishes major and security paths and separates request fulfillment. These are useful organizing principles; the client supplies impact thresholds and authority. Our recommended architecture preserves linked records for incident, problem, request and change instead of making one ticket type stand for every decision. (DESMF III, sections 9.4.3 and 9.4.5)
| Work type | Outcome and minimum handoff | Decision the architecture must preserve |
|---|---|---|
| Incident | Record service impact, assign technical and coordination owners, investigate, apply an authorized mitigation, verify restoration | Who accepts service recovery; what change or security path is needed; what unresolved cause becomes problem work |
| Major incident | Apply the client's high-impact trigger; establish incident lead, technical leads, communication owner and decision timeline | Cross-provider coordination, escalation, mission priorities and restoration acceptance; a bridge call alone grants no authority |
| Service request | Match a defined catalog item, validate entitlement and inputs, fulfill through its approved path, verify outcome | Ownership, funding, data and approval requirements; a request does not authorize arbitrary infrastructure changes |
| Change | Classify the change, assess relevant risk and dependencies, select the authorized route, verify results | Whether a valid preauthorized pattern applies or a normal/emergency decision is required |
| Problem/improvement | Analyze recurrence and contributing conditions, choose permanent correction or accepted interim treatment | Investment, lifecycle, support and risk decisions that an individual incident cannot settle |
A suspected compromise can constrain an otherwise sensible restoration action. Restarting a server could disrupt evidence collection or containment. The proposed interface therefore links restricted security records by reference, names the security and mission decision owners, and records who resolves conflicts. Ordinary incident ownership does not confer security-response authority, and security tooling does not automatically own service acceptance.
Three-day notice and five-day fulfillment are illustrative planning choices, not universal standards. For example, a client could define an approved routine maintenance pattern that requires notice three working days before its window. The pattern still needs target scope, version, permitted actions, prerequisites, validation, recovery and expiry. Notice demonstrates communication; it does not supply missing approval. If the actual target, dependency state or proposed action differs, the execution leaves the standard path.
Similarly, a catalog request for an additional approved environment might carry an illustrative five-working-day target. The client must specify when that clock starts, what constitutes a complete request, business calendar/timezone, whether approval waits pause it, and how exceptions are communicated. Entitlement, funding, service ownership and data classification remain decisions even if provisioning takes minutes. Neither example is a contractual promise from this handbook.
NIST SP 800-128 recognizes defined preapproved/exempt change types while retaining configuration records and security-impact considerations. Emergency work remains in control scope. This supports a deliberate distinction: authorize a repeatable pattern in advance, then validate each execution against its conditions. A normal change needs its designated assessment and approval; an emergency uses the client's expedited authority and documented follow-up. Urgency alone does not create permission. (NIST publication, Full guide, change-control discussion)
Pipeline delivery
Review and evidence travel with the delivery pipeline
Retained workloads
Maintenance windows, work instructions and recovery
Both paths retain service ownership, change authority and outcome evidence. Their execution mechanics differ.
Modern delivery and retained workloads share evidence, not identical mechanics
Pipeline delivery supports frequent validated changes, but retained workloads can also use versioned procedures, scripts, schedulers and automated checks. Google's operational guidance combines governance, configuration management and automation; AWS recommends small reversible changes. These support incremental improvement without requiring wholesale application redesign. They do not prove a particular change is reversible. (Google operational change guidance, AWS small reversible changes)
| Concern | Pipeline-capable workload | Retained or iteratively modernized workload |
|---|---|---|
| Planned delivery | Versioned artifacts/configuration, test evidence, staged promotion and health gates | Versioned procedure/script, representative test, dependency check and approved maintenance window |
| Incident mitigation | Associate symptoms with release/configuration history; stop promotion or use an authorized mitigation | Associate symptoms with infrastructure and maintenance history; use a validated workaround or controlled restoration |
| Recovery | Tested rollback, roll-forward or replacement with compatibility checks | Tested restart/recovery procedure, state handling and operator fallback |
| Request fulfillment | Catalog parameters enter policy checks and a permitted workflow | Catalog parameters route to a named fulfiller; automate stable checks or steps incrementally |
| Execution evidence | Artifact version, target, authority, gate results and outcome receipts | Procedure version, target, authority, prerequisite checks, action record and outcome receipts |
These paths can coexist within one mission service. A modern front end can depend on a retained database, shared identity or DNS. Azure's deployment guidance explicitly treats stateful/schema recovery as difficult and distinguishes rollback, roll-forward and replacement. Reverting application code is insufficient when stored data changed incompatibly; restoring a backup can discard later writes. The acceptance requirement is a tested recovery strategy with accepted data consequences, not a rollback button. (Azure safe deployment guidance)
Scheduled maintenance is a real automation option for retained systems. AWS Maintenance Windows, for example, supports defined targets, tasks, duration, timezone and activation dates. That demonstrates a capability pattern, not a vendor selection. Existing approved schedulers or orchestration tools should be assessed first. (AWS Maintenance Windows)
Preauthorization can remove repeated human approval for eligible executions while preserving checking and accountability. AWS Change Manager documents preapproved templates and optionally autoapproved requests under policy/calendar controls; it closed to new customers on November 7, 2025, so it is an illustration, not a procurement recommendation here. Possession of CI/CD likewise does not confer production authority. DoD's cATO implementation guidance concerns a particular authorization context; only indexed primary text was accessible in this research, so validate the full current guide and component conditions before applying it. (AWS Change Manager, DoD cATO guide)
DoD examples support bounded automation, with precise evidence limits
It would be inaccurate to say DoD does not automate operations. It would also be inaccurate to treat every provisioning pipeline, security response or container restart as proof of autonomous mission-application recovery. The following evidence supports different conclusions.
| Public evidence | Demonstrated or reported capability | What it does not establish |
|---|---|---|
| DISA J-6 DODNet account, June 10, 2025 | Reports deployed DNS/security enforcement, Ansible provisioning/configuration/patching and ScienceLogic visibility with AI-assisted detection/resolution | Exact unattended application-restart logic, approval envelope or independently audited performance |
| Air Force ARAD announcement, January 12, 2017; IOC December 15, 2016 | Historical integration/employment of endpoint vulnerability, asset and automated remediation capabilities | Current 2026 coverage or general mission-application recovery authority |
| DoD CNCF Kubernetes reference design v2.0, March 2021 | Describes container recovery, policy-driven scaling and release decisions | A deployment receipt, arbitrary VM healing or mission restoration |
| NPS CRUSER annual report, December 2021 | Research tooling used Ansible to start/stop/restart processes and reboot systems during USV experimentation | Production cloud recovery or unattended fault-triggered execution |
The DISA account is the strongest recent operational example found in this bounded search. The official DISA publication was readable; its June 13 DON CIO republication was available through indexed text but rejected direct retrieval. Treat its benefits as agency-reported outcomes, not transferable performance guarantees. (DISA account, DON republication)
ARAD establishes actual historical operational adoption, with security/endpoint scope. The public announcement does not provide its exact execution permissions; a separate 2017 memorandum was inaccessible and supplies no additional obligations here. The Kubernetes design is an architectural reference, while NPS supplies explicit restart/reboot examples in an experimental setting. Its restricted appendix was not accessed. These distinctions matter more than the shared word “automation.” (Air Force ARAD, DoD Kubernetes design, NPS report, printed p.37)
A Cloud One communication describes CIPS self-healing, but its exact publication date, mechanism and authority were not established. Vendor capability statements similarly require deployment verification. Neither should anchor a claim that AI controls mission recovery. Public evidence did not establish the particular example of a production DoD legacy host automatically rebooted every third night. That is an evidence gap, not proof nobody does it. (Cloud One program statement)
Acquire or reuse
Address a defined capability gap
Integrate and configure
Establish usable signals and workflows
Demonstrate readiness
Rehearse, verify and obtain applicable decisions
Assess each dependency separately: delayed efficiency, operational readiness and authorization evidence are different consequences.
Recommend response capabilities through evidence gates and existing investments
Our recommendation is to include optional, narrowly authorized application-response integration in the cloud/GSS reference architecture. Identify the service-owner interface, workflow/policy decision, scoped executor and outcome evidence. This permits future response without expanding the engagement into application performance management or bespoke application repair. Keep monitoring, AI advice, human authority and execution identities distinct. The existing architecture's human-review and controlled execution path remains the baseline; any later standing delegation must be explicitly designed and approved.
| Progression | Evidence required for the next decision |
|---|---|
| Observe | Permitted evidence, service/resource identities, trustworthy timestamps, coverage, dependencies and owners |
| Recommend | Source-linked hypotheses, counterevidence, abstention and demonstrated value against manual/rules alternatives |
| Human-approved action | Validated action/version/target, a named approver, tested recovery, execution receipt and independent service check |
| Narrow preauthorized execution | Revocable permitted envelope, fresh state checks, bounded retries/concurrency, stop/escalation, expiry and verified outcomes |
Progression applies to an action and service, not an enterprise-wide maturity label. A platform can already replace stateless unhealthy instances while a legacy stateful service remains human-operated. AWS documents unhealthy-instance replacement as a native controller function; Kubernetes documents platform self-healing. Neither requires an AI model, nor proves application correctness. (AWS health checks, Kubernetes self-healing)
The following fictional examples identify design requirements, not executable procedures or authorization.
| Candidate response | Required bounds and acceptance evidence | Block or escalate when |
|---|---|---|
| Temporary scheduled reboot for a leaking legacy host until sunset | Confirm symptom and alternatives; approve exact target/window; handle drain/state/dependencies; verify healthy peer capacity or explicitly accepted interruption/recovery for a singleton; establish recovery proof, expiry and owner | Telemetry is stale, drain fails, required peer capacity or accepted singleton recovery is unavailable, security investigation intervenes, authority expires or repeated recovery fails |
| Restart a failed service | Define service identity and genuine failure, dependency/start order, permitted retry count, state protection and functional postcondition | Service was deliberately stopped, dependency is failed, state is suspect or restart loops recur |
| Replace an unhealthy instance | Validate image/configuration identity, health meaning, capacity, state separation, protected-resource exclusions and service verification | Bad shared dependency, systemic image fault, state-bearing target or insufficient replacement capacity makes repetition unsafe |
A proposed three-night reboot interval needs evidence; it is not inherently safe. An undefined “N-minus-three” description does not establish support status, cause or acceptable risk. A reboot cannot generally be undone; the design needs an explicit recovery/fallback path rather than casually promising rollback. Unknown action results must stop duplicate execution until reconciled. The workaround requires an expiry linked to permanent correction, supported replacement or retirement, with review if sunset slips. It cannot waive security, backup, support or retention obligations.
Signal/noise configuration belongs before expanding response. Our recommendation is to map alerts to services and owners, normalize identity/time, distinguish missing telemetry from healthy operation, deduplicate repeat delivery, and test thresholds against mission periods. Record every suppression/grouping rule, reason, owner and review date. Maintenance suppression should be scoped and expire. Measure missed actionable events and incorrect grouping alongside reduced volume. A quieter console can conceal an outage; correlated signals accelerate investigation but do not prove cause.
Acquisition should follow a verified gap in existing capabilities. Configuration and integration can take longer than installation: permissions, routing, identity mapping, source semantics, calendars, evidence retention, supplier boundaries and end-to-end validation all need explicit owners. Separate these blockers instead of calling every delay immaturity.
| Blocker | Evidence to obtain | Sequencing response |
|---|---|---|
| Practice maturity | Missing owner or repeatable procedure | Assign ownership and rehearse a bounded case |
| Recovery/evidence | Unknown dependencies or recovery behavior | Map and test before expanding action scope |
| Authorization/data | Missing production delegation or permitted data path | Seek the precise client decision; continue authorized preparation |
| Acquisition/contract | Needed capability unavailable under current entitlement | Compare approved alternatives and define a scoped acquisition requirement |
| Integration/configuration | Unsupported endpoint, incorrect rule or missing identity/network path | Validate a minimal integration and its failure behavior |
| Workload constraint | Singleton state or no representative test environment | Establish acceptable interruption/recovery or incremental modernization |
Our decision rule distinguishes a maturity-only delay from a potential authorization delay. When required control or monitoring evidence is absent and the responsible authority has accepted no interim or compensating arrangement, the gap can delay authorization or approval for the affected activity. This is not a blanket vendor requirement: the actual authorizing official or delegated decision owner determines applicability and acceptance. A manual workaround is acceptable only where evidence and authority support it; describing it as interim does not resolve a control gap or guarantee approval. (NIST SP 800-128)
Carry current, interim and future views: use approved tools and manual evidence now; integrate stable steps where justified; recommend later capabilities with their entry conditions. Rehearse false triggers, intentional stops, stale data, expired authority, concurrent maintenance, unavailable capacity, timeout/unknown result and failed recovery. Evaluate unauthorized-action prevention, correct abstention, audit completeness and verified service outcome as well as restoration speed. AI introduces separate questions of data admission, quality and review burden; it cannot authorize its own output.
“Year three” is a client planning hypothesis, not an industry standard or authorization gate. A client can defer execution automation while retaining the architectural option. The advisory handover should identify requirement, existing capability, gap, option, accountable decision owner, acquisition/integration/configuration dependency and acceptance evidence. That creates an actionable sequence without promising a purchase, deployment date or completed operational service.
Optional prompts refine the reference with client evidence
Use only approved material and approved processing locations. These analysis-only starters help the receiving team adapt the handbook; they do not authorize data upload, configuration changes or execution.
Applicability and handoffs: “Using the supplied adopted policies, service boundary, tools and owner records, map incident, major incident, request and change handoffs. Cite each input. Separate verified requirements, recommendations and unknowns. Identify provider/client and security/service interfaces. Do not invent approval rights, deadlines or completed procedures.”
Bounded response assessment: “Assess this proposed response using the supplied evidence. Identify target/action limits, dependencies, preconditions, authority, recovery, stop rules, expiry and outcome checks. Include intentional-stop, stale-data and unknown-result counterexamples. Recommend observe, advise, human-approved action or consideration for preauthorization, with missing evidence. Produce no executable commands or resource changes.”