Agile Methodology
Compute applies Agile as an operating system for cloud delivery: short feedback loops, clear ownership, measurable outcomes, and continuous improvement.
How we define Agile
Agile is not just sprint ceremonies. For platform and cloud teams, it means reducing time from decision to safe production change while protecting reliability and security.
Our operating principles
- Outcome over output: Every sprint goal maps to an operational outcome (reliability, lead time, security posture, cost control).
- Small, reversible changes: We prefer smaller deployments with clear rollback paths over large risky releases.
- Definition of Done includes operations: Monitoring, alerts, runbooks, and ownership are required before work is complete.
- Security in the flow of work: Threat modeling, policy checks, and secrets handling are embedded in delivery, not added at the end.
- Data-driven retrospectives: Teams review objective delivery and reliability metrics, then commit to one or two concrete improvements per cycle.
Cadence we typically use
- Weekly planning: Prioritize highest-risk/highest-value items with clear acceptance criteria.
- Daily sync: Focus on blockers, dependencies, and handoff readiness.
- Demo/review: Show working systems and operational evidence, not only tickets closed.
- Retrospective: Capture lessons, decide improvement actions, and track follow-through.
Measures that matter
- Lead time for change
- Deployment frequency
- Change failure rate
- Mean time to recovery (MTTR)
- Policy compliance and security issue closure time
Typical Agile deliverables from Compute
- Delivery playbook tailored to your team model
- Definition of Done template for infrastructure and platform work
- Sprint board structure and workflow policies
- Incident-informed backlog prioritization model
- Executive-ready weekly progress and risk reporting
This page is intentionally editable and can be customized to your preferred practices, terminology, and operating model.