DELIVERY METHOD
Discover. Build. Evolve. — an engineering delivery lifecycle.
A structured delivery lifecycle that moves from evidence to architecture to working software in thin, production-grade increments — with quality gates at every stage and ownership transferred to your team.
Discover — establish the facts
We build an evidence base before recommending anything: we read the code, inspect the platform, review telemetry and costs, and interview the people who build and run the system.
- Current-state architecture (C4 context and container views) and dependency mapping
- Non-functional baseline: availability, latency percentiles, error rates, recovery objectives and run cost
- Security posture review: identity, secrets, network exposure and supply chain
- Prioritised findings with impact, effort and risk ratings
Design — make decisions explicit
We develop a target and transition architecture, comparing options against measurable criteria and recording each decision.
- Architecture Decision Records and trade-off analysis
- Target architecture aligned to the Well-Architected pillars: reliability, security, cost optimisation, operational excellence and performance efficiency
- Threat model (STRIDE) and data-protection impact considerations
- Sequenced roadmap of releasable increments with explicit exit criteria
Build — deliver production-grade increments
Each increment is a thin vertical slice that reaches a real environment through an automated pipeline. Definition of done includes tests, security checks, observability and documentation.
- Trunk-based development with short-lived branches and mandatory code review
- Automated quality gates: unit, integration and contract tests; static analysis; dependency and IaC scanning
- Infrastructure as code with reviewed plans and drift detection
- Progressive delivery: feature flags, staged environments and rapid rollback
Evolve — operate, measure and hand over
We measure what was delivered, harden operations and transfer ownership so your team can run and extend the system confidently.
- Service-level objectives with alerting on error-budget burn
- Runbooks, on-call guidance and recovery procedures tested in practice
- DORA metrics to track deployment frequency, lead time, change failure rate and time to restore
- Knowledge transfer through pairing, documentation and architecture walkthroughs
Engagement models
We adapt the lifecycle to the commercial model that suits you: fixed-scope discovery or architecture reviews, outcome-based delivery phases, embedded specialist engineers, or independent technical assurance of work delivered by others.
Contact: contact@nexaarislabs.com