Progressive Software Delivery and Change Safety
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/02 About
Describe authorized software provenance, bounded canary deployment, independent customer-quality gates, progressive traffic promotion, and safe rollback.
Purpose: govern customer risk from reviewed change into trusted build, independent artifact admission, restricted deployment, progressive user exposure and verified stable service. Software deployment, candidate traffic and accepted business functionality are different decisions. Safety requirements: only authorized attributable software artifacts may enter a release cohort; production scope, user exposure, data migration and timing must be bounded. Observed customer correctness, latency and baseline comparisons gate traffic increases. Security and business invariants cannot be bypassed for canary or rollback. Any material regression or unverified source stops further promotion; if data changes make binary rollback unsafe, an authorized forward correction must be independently verified. Accountability: business acceptance, release admission, preparation engineering, rollout operations and independent assurance are distinct roles. Evidence attributes approval, cohort, artifact digest, version contract, quality signal and recovery result. Returning a successful deployment command is not sufficient to declare customer value delivered. Limitations: logical architecture, not executable delivery automation, a complete signed software supply-chain specification, validated migration reversal or a statistical proof of quality. Adopters must supply binding version contracts, source/attestation standards, scope limits, independent tests and operational evidence.
Curated · enterprise · CC-BY-4.0 · Published by Lattix · 68 elements · 98 relationships · validated on publish
/03 Contents
- Business Actor
- Production service consumer
- Role
- Business acceptance owner, Software change risk owner, Release preparation engineer, Deployment control operator, Independent release assessor
- Application
- Logical change-controlled application
- Application Service
- Business-critical application service
- Application Component
- Reproducible artifact builder, Trusted artifact admission gate, Progressive delivery controller, Cohort-based traffic router, Independent release health monitor, Safe rollback and recovery controller
- Data Store
- Verified immutable artifact registry, Attributed rollout history
- Business Object
- Reviewed source change baseline, Authorized deployment decision, Versioned candidate rollout and rollback plan, Independent software release evidence
- Message/Event Schema
- Versioned mixed-release interface contract
- Artifact
- Immutable software release candidate, Reproducible build provenance attestation
- Work Package
- Governed software release package
- Policy
- Approved release change policy, Time-limited change exception policy
- Constraint
- Non-bypassable service protection, Mixed-version and database compatibility, Maximum candidate exposure and soak scope, Safe rollback or forward-repair precondition
- Requirement
- Customer-facing quality objective, Verified software origin requirement, Independent deployment readiness requirement
- Risk
- Unsafe candidate and irreversible migration risk
- Control
- Production rollout safeguard
- Plateau
- Accepted pre-change service baseline, Controlled candidate coexistence stage, Verified post-release business service
- State
- Candidate created pending review, Candidate authorized for limited trial, Candidate exposure in controlled trial, Incremental promotion ongoing, Deployment expansion stopped, Compatible baseline restored and verified, Target release finally accepted
- Business Event
- Canary correctness or latency regression, Candidate provenance gate failure, Incompatible data rollback detected, Quality gate met for trial cohort
- Behaviour
- Record authorized change intent, Build traceable software candidate, Validate supply-chain provenance, Verify compatibility and release readiness, Approve bounded deployment trial, Stage candidate without general traffic, Apply initial canary cohort exposure, Assess customer quality and safety, Progressively increase traffic, Stop unsafe candidate exposure, Restore safely or execute forward correction, Independently validate restored service, Conclude change after acceptance, Capture attributable release events
- Measure
- Observed candidate correctness and latency, Actual user exposure and blast radius, Observed successful rollback outcome
- Outcome
- Safely verified software deployment
- Capability
- Safely deliver software changes