Solution Architecture Health Check Template
13 scored dimensions, weighted health index, ISO 25010 NFR drift, lifecycle and EOL, debt, cost trend, AWS, Azure and Google pillar mapping, actions, trend
Mode d'emploi: Use it on a fixed cadence (often yearly) or before a major investment or contract renewal for a solution already in production. Fill the scope, scoring scale and weights first and keep them between checks, then score each dimension from evidence. The main pitfall is reporting the index alone, which hides one dimension collapsing while others improve.
Aperçu
Solution Architecture Health Check: [Solution name]
Periodic health check of one solution in production, across every architecture dimension: fit with the business drivers it was built for, quality attribute and NFR drift, reliability, security, cost and sustainability, performance and capacity, operability, technology lifecycle, technical debt, data, documentation and team ownership. Each dimension gets an evidence-based score, the scores roll up into a weighted index and a trend, and the findings become a prioritised action list. Provider-neutral, with a mapping to the pillars of the AWS Well-Architected Framework (6 pillars), the Azure Well-Architected Framework (5 pillars) and the Google Cloud Well-Architected Framework (6 pillars), and quality characteristics named as in ISO/IEC 25010:2023. Replace every
[bracketed]value and every row marked Example.
Document control
| Field | Value |
|---|---|
| Document ID | [AHC-SOLUTION-YYYY] |
| Solution | [Solution name, service ID in the CMDB] |
| Service owner | [@service-owner] |
| Check number | [n, e.g. 2nd annual check] |
| Previous check | [AHC-SOLUTION-YYYY, date] |
| Check period | YYYY-MM-DD to YYYY-MM-DD |
| Version | [0.1] |
| Status | [Draft / In review / Approved] |
| Owner (lead reviewer) | [@lead-reviewer] |
| Approvers / reviewers | [Service owner, domain architect, security architect, FinOps lead] |
| Hosting | [Provider and region, or on-premises site] |
| Classification | [Internal / Confidential] |
| Last updated | YYYY-MM-DD |
Approvals
| Role | Name | Decision | Conditions | Date |
|---|---|---|---|---|
| Lead reviewer | [@lead-reviewer] | [Submitted] | [None] | YYYY-MM-DD |
| Service owner | [@service-owner] | [Accepts findings and actions] | [Conditions] | YYYY-MM-DD |
| Domain architect | [@architect] | [Agreed] | [Conditions] | YYYY-MM-DD |
| Security architect | [@security] | [Agreed] | [Conditions] | YYYY-MM-DD |
Revision history
| Version | Date | Author | Change summary |
|---|---|---|---|
| 0.1 | YYYY-MM-DD | [@name] | Scope, inputs requested, previous scores copied for comparison |
| 0.5 | YYYY-MM-DD | [@name] | Example: Evidence reviewed in a two-hour session with the service team; scores drafted |
| 1.0 | YYYY-MM-DD | [@name] | Example: Accepted by service owner; actions HC-ACT-01 to HC-ACT-08 opened |
Contents
- Health summary
- Scope, cadence and method
- Solution context and original drivers
- Quality attributes and NFR drift
- Reliability and resilience
- Security posture
- Cost and sustainability
- Performance and capacity
- Operability
- Technology lifecycle and dependencies
- Technical debt and architecture erosion
- Data health
- Documentation and decision currency
- Team, ownership and skills
- Scorecard and framework mapping
- Findings and prioritised actions
- Trend and next check
- Glossary and references
1. Health summary
| Item | Result |
|---|---|
| Health index (0 to 100) | Example: 62.5 (previous check 62.5) |
| Overall status | Example: Amber |
| Red dimensions (score 0 or 1) | Example: D8 Technology lifecycle |
| Improved since last check | Example: D3 Reliability, D6 Operability |
| Declined since last check | Example: D7 Performance and capacity, D8 Technology lifecycle, D11 Documentation |
| Findings | Example: 9 (2 high, 4 medium, 3 low) |
| Top actions | Example: HC-ACT-01 database engine upgrade; HC-ACT-02 capacity plan for API growth; HC-ACT-03 retire CRM export |
| Decision requested | [Fund HC-ACT-01 in the next quarter; accept the remaining actions] |
Example narrative: The hub still serves its purpose and its reliability has improved since the dead-letter runbook and certificate automation landed. The index is flat because three dimensions declined by as much as two improved: the database engine version leaves vendor support in two months, and API traffic has grown to 92% of design capacity. Both are predictable and fixable this quarter.
2. Scope, cadence and method
2.1 Scope
| Item | In scope | Out of scope |
|---|---|---|
| Components | Example: Hub store, matching service, customer API, event publication, stewardship user interface | Consuming systems |
| Environments | Example: Production; disaster recovery region; pre-production for release process only | Developer sandboxes |
| Shared platforms | Example: Used as delivered; only their effect on this solution is checked | Platform internals (own checks) |
2.2 Cadence and triggers
| Trigger | Check type |
|---|---|
| Fixed cadence: Example: every 12 months from the first PIR | Full check, all dimensions |
| Before a contract renewal, major investment or re-platform decision | Full check |
| After a P1 incident with architectural cause | Targeted check on the affected dimensions |
| When a dependency reaches end of support within [6] months | Targeted check on D8 |
| A dimension scored 0 or 1 at the last check | Follow-up on that dimension after [3] months |
2.3 Inputs
| Input | Source |
|---|---|
| Original drivers, KPIs and NFRs | Architecture vision, quality attribute record, Architecture Contract |
| Service data for the period | Monitoring, incident and problem records, SLO reports |
| Cost data | Cloud billing and FinOps reports, licence and support invoices |
| Inventory and versions | Configuration management database, software bill of materials, infrastructure as code |
| Security data | Vulnerability scans, access reviews, penetration test, risk register |
| Previous checks and reviews | Previous health check, PIR, provider review results, compliance assessments |
| Team view | A structured session with the service team, [60 to 120] minutes |
2.4 Scoring scale
This scale is original to this template.
| Score | Label | Meaning |
|---|---|---|
| 4 | Strong | Meets or exceeds expectations with evidence; improving practices in place |
| 3 | Adequate | Meets expectations with evidence; minor gaps only |
| 2 | Weak | Noticeable gaps; risk is growing but not yet urgent |
| 1 | Poor | Serious gaps, or claims without evidence; action needed this quarter |
| 0 | Critical | Immediate risk to the service, its data or compliance |
2.5 Weights and roll-up
Set weights once per solution class and keep them between checks. The health index is the weighted sum of scores divided by the maximum possible weighted sum, times 100.
| Dimension | Weight (Example) |
|---|---|
| D1 Business fit | 10 |
| D2 Quality attributes and NFRs | 10 |
| D3 Reliability and resilience | 10 |
| D4 Security | 15 |
| D5 Cost | 10 |
| D6 Operability | 10 |
| D7 Performance and capacity | 5 |
| D8 Technology lifecycle | 10 |
| D9 Technical debt | 5 |
| D10 Data health | 5 |
| D11 Documentation and decisions | 5 |
| D12 Team and ownership | 3 |
| D13 Sustainability | 2 |
| Total | 100 |
Sections 3 to 14 hold the evidence for each dimension, and section numbers do not follow dimension numbers: D1 in section 3, D2 in 4, D3 in 5, D4 in 6, D5 and D13 in 7, D7 in 8, D6 in 9, D8 in 10, D9 in 11, D10 in 12, D11 in 13 and D12 in 14. Cite findings by dimension ID, not by section number.
Status rules: Example: green when the index is at least 75 and no dimension scores below 2; red when the index is below 50 or any dimension scores 0; amber otherwise. Each dimension also carries its own status: 3 or 4 green, 2 amber, 0 or 1 red. Any red dimension is reported in section 1 whatever the index.
3. Solution context and original drivers
| Driver or goal | Original target | Still valid? | Current evidence | Note |
|---|---|---|---|---|
| BG-02 (Example) One trusted view of the customer | Golden ID for 98% of customers | Yes | 98.3% at month 24 | Reached after policy system C cleansing |
| BG-03 (Example) Lower cost to serve | Steward correction hours below 150 per month | Yes | 120 per month | |
| Example: Customer data for all channels | 5 consuming systems | Changed: now 8 planned, incl. two AI assistants | 6 live | Load growth drives D7 |
| [Driver] | [Target] | [Yes / Changed / No] | [Evidence] | [Note] |
D1 Business fit score: Example: 3. Drivers hold and targets are met; new consumers were not foreseen in the design and need capacity work.
4. Quality attributes and NFR drift
| Characteristic (ISO/IEC 25010:2023) | Requirement | Target | Evidence this period | Drift | Note |
|---|---|---|---|---|---|
| Performance efficiency (Example) | NFR-PERF-01 API latency p95 | At most 300 ms | 285 ms, rising from 240 ms | Toward limit | Load growth |
| Reliability (Example) | Customer API availability | 99.9% per month | 99.95% average; no month below target | Improved | |
| Security (Example) | NFR-SEC-01 personal data past retention | 0 records | 0 in all audits | None | |
| Compatibility (Example) | Event schema backward compatible | No breaking change without a new version | One breaking change shipped as minor version | Drift | FND-HC-06 |
| Maintainability (Example) | Lead time for a matching rule change | Under 5 days | 9 days median | Drift | Single expert (D12) |
| Flexibility (Example) | Scale out without code change | Horizontal scaling by configuration | Confirmed in load test | None | |
| Interaction capability (Example) | Steward task completion without help | 95% | 96% | None | |
| Functional suitability (Example) | Match decisions correct on audit sample | At least 99% | 99.2% | None | |
| Safety (Example) | Not significant for this solution | Not applicable | Not applicable | Not applicable | No physical effect |
| [Characteristic] | [Requirement ID] | [Target] | [Evidence] | [None / Toward limit / Drift / Improved] | [Note] |
D2 Quality attributes score: Example: 3. Most targets met; two
drifts with known causes. Record target changes in the quality attribute
record (requirements/quality-attributes).
5. Reliability and resilience
| Check | Evidence | Result |
|---|---|---|
| Recovery test in the period, against RTO and RPO | Example: Regional failover test YYYY-MM-DD: RTO 2 h 10 min against 4 h; RPO 9 min against 15 min | Met |
| Backup restore test | Example: Quarterly restore of a full snapshot; last one YYYY-MM-DD | Met |
| P1 and P2 incidents with architectural cause | Example: 0 P1, 2 P2 (both consumer-side retries) | Acceptable |
| Known single points of failure | Example: Matching rule deployment needs one named engineer (see D12) | Open |
| Dependency failure handling | Example: Circuit breakers on policy system calls; tested in a game day | Met |
| [Check] | [Evidence] | [Result] |
D3 Reliability and resilience score: Example: 3 (previous 2).
Improved after automated certificate renewal and the tested dead-letter
runbook. Use the DR plan (ops/disaster-recovery-plan) and game days
(ops/game-day-plan) for detail.
6. Security posture
| Check | Evidence | Result |
|---|---|---|
| Threat model updated for changes in the period | Example: Updated for the two AI assistant consumers YYYY-MM-DD | Met |
| Vulnerabilities past remediation target | Example: 0 critical, 2 high past 30 days (both in the ageing database engine) | Gap |
| Access reviews completed and leavers removed on time | Example: 4 of 4 quarterly reviews; leaver removal within 1 day since automation | Met |
| Secrets and keys rotated as scheduled | Example: Yes, through the key service | Met |
| Penetration test in the last 12 months | Example: YYYY-MM-DD; 1 medium finding fixed | Met |
| Accepted risks reviewed by their due date | Example: All reviewed | Met |
| [Check] | [Evidence] | [Result] |
D4 Security score: Example: 3. Controls operate; the two high
vulnerabilities are tied to the lifecycle finding in D8. Detail lives in
the security architecture (security/security-architecture) and threat
model (security/threat-model).
7. Cost and sustainability
7.1 Cost
| Measure | Previous check | This check | Trend | Note |
|---|---|---|---|---|
| Annual run cost (USD) (Example) | 214,000 | 236,000 | +10.3% | Traffic up 45% |
| Cost per 1,000 API calls (USD) (Example) | 0.46 | 0.35 | Down 24% | Micro-batch matching (decision ADR-027) |
| Idle or unattached resources (USD per year) (Example) | 9,000 | 14,000 | Up | Unused pre-production replicas |
| Commitment coverage (Example) | 40% | 40% | Flat | Renewal due; reconsider level |
| [Measure] | [Value] | [Value] | [Trend] | [Note] |
D5 Cost score: Example: 2. Unit cost improved, but idle resources
grew and commitments were not reviewed. Use the FinOps review
(ops/finops-cost-review) for the full analysis.
7.2 Sustainability
| Measure | This check | Note |
|---|---|---|
| Provider carbon or emissions report available for this workload (Example) | Yes, monthly | Location-based figures only |
| Non-production environments scheduled off outside working hours (Example) | Partly | Pre-production runs all week |
| Data stored past its business need (Example) | None found | Retention enforced (D10) |
| [Measure] | [Value] | [Note] |
D13 Sustainability score: Example: 2. For a fuller assessment use
the sustainability architecture assessment
(architecture/sustainability-architecture-assessment).
8. Performance and capacity
| Measure | Design capacity | Previous check | This check | Forecast in 12 months | Headroom now |
|---|---|---|---|---|---|
| Peak API requests per second (Example) | 400 | 310 | 368 | 450 | 8% |
| Events per hour at peak (Example) | 500,000 | 180,000 | 260,000 | 340,000 | 48% |
| Hub storage (TB) (Example) | 4.0 | 1.6 | 2.1 | 2.6 | 48% |
| [Measure] | [Capacity] | [Value] | [Value] | [Forecast] | [%] |
Headroom is (design capacity minus current peak) divided by design capacity: Example: API (400 minus 368) divided by 400 equals 8%.
D7 Performance and capacity score: Example: 2 (previous 3). The
API will exceed its design capacity within the year at the current
growth. Update the capacity plan (ops/capacity-plan).
9. Operability
| Check | Evidence | Result |
|---|---|---|
| Runbooks current for every alert that pages | Example: 22 of 23; one new alert lacks a runbook | Minor gap |
| Alert noise | Example: 6% of pages were not actionable (previous 18%) | Improved |
| Change failure rate | Example: 7% | Met |
| Deployment frequency and lead time | Example: Weekly; 2 days from merge to production | Met |
| Toil (manual recurring work) | Example: 6 hours per week, down from 14 | Improved |
| SLO reporting to the service owner | Example: Monthly, automated | Met |
| [Check] | [Evidence] | [Result] |
D6 Operability score: Example: 3 (previous 2). See the observability
spec (ops/observability-spec) and runbook (dev/runbook).
10. Technology lifecycle and dependencies
| Component | Type | Version in production | Latest supported | Support ends | Status | Action |
|---|---|---|---|---|---|---|
| Example: Relational database engine | Managed service | [major.minor] | [major.minor] | YYYY-MM-DD (in 2 months) | Red | HC-ACT-01 |
| Example: Application runtime | Runtime | [version] | [version] | YYYY-MM-DD (in 10 months) | Amber | Plan upgrade |
| Example: Matching library | Library | [version] | [version] | Vendor supported | Green | None |
| Example: Container base image | Image | [tag] | [tag] | Rebuilt weekly | Green | None |
| Example: Stewardship UI framework | Library | [version] | [version] | YYYY-MM-DD (passed) | Red | HC-ACT-04 |
| [Component] | [Type] | [Version] | [Version] | YYYY-MM-DD | [Green / Amber / Red] | [Action] |
Status rule: Example: red when support ends within [3] months or has
passed, amber within [12] months, green otherwise. Keep the inventory in
the software bill of materials (security/supply-chain-security) and
check the radar status of each product (architecture/tech-radar).
D8 Technology lifecycle score: Example: 1 (previous 2). The database upgrade flagged at design review was deferred twice.
11. Technical debt and architecture erosion
| Item | Previous check | This check | Note |
|---|---|---|---|
| Open debt items for this solution (Example) | 5 | 4 | TD-032 (replica read) closed |
| Total estimated interest, hours per month (Example) | 46 | 38 | |
| Active dispensations (Example) | 1 (DSP-2026-09) | 1, renewed once and then extended by executive decision | CRM export; expires in 3 months; the executive has said it will not renew again |
| Undocumented interfaces found (Example) | 1 | 0 | |
| Components or flows not in the approved models (Example) | 2 | 1 | Ad hoc export script for audit |
| [Item] | [Value] | [Value] | [Note] |
D9 Technical debt score: Example: 2. Debt falls, but the CRM
dispensation has been renewed once by the board and once by the
executive (charter section 8.1), and the executive has said it will not
renew it again. See
the tech debt register (architecture/tech-debt-register) and fitness
functions (architecture/fitness-functions).
12. Data health
| Check | Evidence | Result |
|---|---|---|
| Data quality rules and scores for mastered entities | Example: 34 rules; 98.3% golden ID coverage; duplicate rate 1.1% | Met |
| Owners and stewards named and active | Example: All entities; one steward vacancy | Minor gap |
| Retention and deletion enforced | Example: Monthly job; 0 overdue records | Met |
| Lineage complete from sources | Example: All three sources recorded | Met |
| Data shared with new consumers under an agreed purpose | Example: AI assistants use a minimised view under DPIA update | Met |
| [Check] | [Evidence] | [Result] |
D10 Data health score: Example: 3. See the data dictionary
(architecture/data-dictionary).
13. Documentation and decision currency
| Record | Last updated | Matches production? | Note |
|---|---|---|---|
| Solution design and as-built models (Example) | 14 months ago | No | AI assistant consumers missing |
| Decision records (Example) | Last ADR 3 months ago | Yes | 4 new ADRs this period |
| Interface specifications (Example) | Current | Partly | Event schema change not versioned (FND-HC-06) |
| Runbooks (Example) | Current | Yes, except one | See D6 |
| Architecture repository entry (Example) | 14 months ago | No | Update with models |
| [Record] | [Date] | [Yes / Partly / No] | [Note] |
D11 Documentation and decisions score: Example: 2 (previous 3).
Use the decision log (architecture/architecture-decision-log) and C4
models (architecture/c4-architecture) to bring records up to date.
14. Team, ownership and skills
| Check | Evidence | Result |
|---|---|---|
| Named service owner and product owner | Example: Both named and active | Met |
| People able to change matching rules | Example: 1 (target 2) | Gap |
| People able to run a regional failover | Example: 4 | Met |
| Funded roadmap for the next 12 months | Example: Yes, including capacity work | Met |
| Supplier knowledge dependency | Example: Matching library support by supplier; contract renews in 8 months | Watch |
| [Check] | [Evidence] | [Result] |
D12 Team and ownership score: Example: 2.
15. Scorecard and framework mapping
15.1 Scorecard
| Dimension | Weight | Previous score | Score | Weighted score | Status |
|---|---|---|---|---|---|
| D1 Business fit (Example) | 10 | 3 | 3 | 30 | Green |
| D2 Quality attributes and NFRs (Example) | 10 | 3 | 3 | 30 | Green |
| D3 Reliability and resilience (Example) | 10 | 2 | 3 | 30 | Green |
| D4 Security (Example) | 15 | 3 | 3 | 45 | Green |
| D5 Cost (Example) | 10 | 2 | 2 | 20 | Amber |
| D6 Operability (Example) | 10 | 2 | 3 | 30 | Green |
| D7 Performance and capacity (Example) | 5 | 3 | 2 | 10 | Amber |
| D8 Technology lifecycle (Example) | 10 | 2 | 1 | 10 | Red |
| D9 Technical debt (Example) | 5 | 2 | 2 | 10 | Amber |
| D10 Data health (Example) | 5 | 3 | 3 | 15 | Green |
| D11 Documentation and decisions (Example) | 5 | 3 | 2 | 10 | Amber |
| D12 Team and ownership (Example) | 3 | 2 | 2 | 6 | Amber |
| D13 Sustainability (Example) | 2 | 2 | 2 | 4 | Amber |
| Total | 100 | 250 |
Arithmetic: maximum weighted sum is 100 times 4, which is 400. Health index equals 250 divided by 400, times 100, which is 62.5. The previous scores column, with the same weights, also sums to 250, so the previous index was also 62.5. Status: amber, because the index is between 50 and 75 and D8 scores 1.
15.2 Mapping to provider frameworks
| Dimension | AWS Well-Architected pillar | Azure Well-Architected pillar | Google Cloud Well-Architected pillar |
|---|---|---|---|
| D3 Reliability and resilience | Reliability | Reliability | Reliability |
| D4 Security | Security | Security | Security, privacy, and compliance |
| D5 Cost | Cost optimization | Cost Optimization | Cost optimization |
| D6 Operability | Operational excellence | Operational Excellence | Operational excellence |
| D7 Performance and capacity | Performance efficiency | Performance Efficiency | Performance optimization |
| D13 Sustainability | Sustainability | No pillar: sustainability workload guidance | Sustainability |
| D1, D2, D8 to D12 | No direct pillar; partly covered across pillars | No direct pillar | No direct pillar |
Where a provider review was run in the period, enter its high-risk count next to the matching dimension and explain any difference in score.
16. Findings and prioritised actions
16.1 Findings
| Finding ID | Dimension | Severity | Finding | Action |
|---|---|---|---|---|
| FND-HC-01 (Example) | D8 | High | Database engine leaves vendor support in 2 months; upgrade deferred twice | HC-ACT-01 |
| FND-HC-02 (Example) | D7 | High | API at 92% of design capacity; forecast exceeds it within 12 months | HC-ACT-02 |
| FND-HC-03 (Example) | D9 | Medium | CRM export dispensation expires in 3 months; the executive will not renew it again | HC-ACT-03 |
| FND-HC-04 (Example) | D8 | Medium | Stewardship UI framework past end of support | HC-ACT-04 |
| FND-HC-05 (Example) | D12 | Medium | One person can change matching rules | HC-ACT-05 |
| FND-HC-06 (Example) | D2, D11 | Medium | Breaking event schema change released as a minor version | HC-ACT-06 |
| FND-HC-07 (Example) | D5 | Low | Idle pre-production replicas cost about USD 14,000 a year | HC-ACT-07 |
| FND-HC-08 (Example) | D11 | Low | As-built models 14 months old | HC-ACT-08 |
| FND-HC-09 (Example) | D6 | Low | One paging alert without a runbook | HC-ACT-08 |
| [FND-HC-nn] | [Dn] | [High / Medium / Low] | [Finding] | [HC-ACT-nn] |
16.2 Action plan
| Action ID | Action | Owner | Due | Effort | Status |
|---|---|---|---|---|---|
| HC-ACT-01 (Example) | Upgrade the database engine to a supported version, with rehearsal in pre-production | [@platform-lead] | YYYY-MM-DD (before support ends) | [n] person-weeks | Open |
| HC-ACT-02 (Example) | Revise the capacity plan and scale the API tier; add a headroom alert at 75% | [@sre-lead] | YYYY-MM-DD | [n] person-weeks | Open |
| HC-ACT-03 (Example) | Present the CRM retirement decision to the board before the dispensation expires | [@service-owner] | YYYY-MM-DD | Decision | Open |
| HC-ACT-04 (Example) | Upgrade the stewardship UI framework | [@dev-lead] | YYYY-MM-DD | [n] person-weeks | Open |
| HC-ACT-05 (Example) | Train a second engineer on matching rules and pair on the next two changes | [@service-owner] | YYYY-MM-DD | [n] days | Open |
| HC-ACT-06 (Example) | Add a schema compatibility check to the pipeline | [@integration-lead] | YYYY-MM-DD | [n] days | Open |
| HC-ACT-07 (Example) | Schedule pre-production replicas off outside test windows | [@finops-lead] | YYYY-MM-DD | [n] days | Open |
| HC-ACT-08 (Example) | Refresh as-built models and write the missing runbook | [@solution-architect] | YYYY-MM-DD | [n] days | Open |
| [HC-ACT-nn] | [Action] | [@owner] | YYYY-MM-DD | [Effort] | [Open / Done] |
Large or cross-team actions go to the architecture roadmap
(architecture/architecture-roadmap-transition); changes that alter the
approved architecture need a change request
(architecture/architecture-change-request).
17. Trend and next check
| Check | Date | Index | Red dimensions | Note |
|---|---|---|---|---|
| PIR baseline (Example) | YYYY-MM-DD | 55.0 | D9 | Scored retrospectively from the PIR evidence |
| Check 1 (Example) | YYYY-MM-DD | 62.5 | None | |
| Check 2 (Example) | YYYY-MM-DD | 62.5 | D8 | This document |
| [Check n] | YYYY-MM-DD | [Index] | [Dn] | [Note] |
| Item | Decision |
|---|---|
| Next full check | Example: Month 36, YYYY-MM-DD |
| Follow-up checks | Example: D8 and D7 at month 27, after HC-ACT-01 and HC-ACT-02 |
| Escalation | Report the red dimension and its action to the architecture board at its next meeting |
18. Glossary and references
18.1 Glossary
| Term | Meaning in this document |
|---|---|
| Health check | A periodic, evidence-based scan of a running solution across all architecture dimensions |
| Dimension | One area of the solution scored on its own (D1 to D13) |
| Health index | Weighted sum of dimension scores as a percentage of the maximum |
| Drift | Movement of an observed quality away from its target, or of the running system away from its approved design |
| Erosion | Gradual loss of architectural structure through shortcuts and unrecorded changes |
| Headroom | Share of design capacity still unused at current peak demand |
| End of support | Date after which the vendor or community stops issuing fixes for a version |
| Pillar | A top-level area of a cloud provider's well-architected framework |
| [Term] | [Meaning] |
18.2 References
| ID | Reference | Version / date |
|---|---|---|
| REF-01 | AWS Well-Architected Framework (whitepaper; six pillars) | Publication date 2024-11-06, as listed on 2026-10-23 |
| REF-02 | Azure Well-Architected Framework (five pillars, workload guides, assessment tool) | Hub page updated 2026-09-11 |
| REF-03 | Google Cloud Well-Architected Framework (six pillars, cross-pillar perspectives) | Last updated 2026-10-13 |
| REF-04 | ISO/IEC 25010:2023, Systems and software quality models: product quality model | Edition 2, 2023-11 |
| REF-05 | Cloud Architecture Review (architecture/cloud-architecture-review) | [x.y] |
| REF-06 | Post-Implementation Review (project/post-implementation-review) | [x.y] |
| REF-07 | Quality attributes (requirements/quality-attributes) | [x.y] |
| REF-08 | Tech debt register (architecture/tech-debt-register) | [Date] |
Standard and licence note
Structure aligned with the cloud provider well-architected frameworks and with ISO/IEC 25010:2023: the pillar names of the AWS Well-Architected Framework (operational excellence, security, reliability, performance efficiency, cost optimization, sustainability), the Azure Well-Architected Framework (Reliability, Security, Cost Optimization, Operational Excellence, Performance Efficiency) and the Google Cloud Well-Architected Framework (operational excellence; security, privacy, and compliance; reliability; cost optimization; performance optimization; sustainability) are used only to map results, and the nine quality characteristic names of ISO/IEC 25010:2023 are used as labels. The thirteen dimensions, the scoring scale, weights, checks, questions and all text are original; no questions, best practices or other text from the frameworks or the standard are reproduced. Obtain ISO/IEC 25010 from ISO for its full content. AWS, Azure and Google Cloud are trademarks of their owners; this template is not affiliated with or endorsed by them. Check the current framework versions at docs.aws.amazon.com, learn.microsoft.com and cloud.google.com. Template licence: MIT.
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