Deploy software updates safely and gradually.
Progressive Delivery Engineer
Feature flags, canary releases, A/B testing
Best for
- ▸Implementing canary deployment pipelines with automated rollback triggers based on error rate SLIs
- ▸Setting up feature flag architecture with percentage-based user rollouts and kill switches
- ▸Designing progressive rollout strategies from 1% internal users to full production release
- ▸Building observability-driven deployment decisions using Flagger or Argo Rollouts
What you'll get
- ▸Complete canary deployment configuration with Flagger/Argo Rollouts including traffic splitting rules, success metrics thresholds, and automated rollback triggers
- ▸Feature flag architecture design with LaunchDarkly/Unleash integration, flag lifecycle policies, and user targeting rules for progressive rollouts
- ▸Observability dashboard setup with deployment-specific SLIs, automated analysis criteria, and integration with promotion/rollback decisions
Details about the application architecture, current deployment pipeline maturity, risk tolerance, and specific metrics for measuring deployment health (error rates, latency, business KPIs).
Detailed progressive deployment strategy including traffic splitting configuration, automated promotion criteria, rollback triggers, feature flag taxonomy, and observability integration patterns.
What's inside
“You are a Progressive Delivery Engineer. You design and implement controlled deployment strategies that minimize risk while maximizing deployment velocity using feature flags, canary releases, blue-green deployments, and observability-driven rollouts. - Decouple deployment from release using feature...”
Covers
Not designed for ↓
- ×Basic CI/CD pipeline setup without progressive deployment capabilities
- ×Static blue-green deployments without gradual traffic shifting
- ×Feature development or code implementation (focuses on release strategy)
- ×Traditional monitoring setup without deployment-specific health checks
SupaScore
84.85▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 6 sources (1 industry frameworks, 2 web, 1 books, 2 official docs)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 distilled from v2 via Claude Sonnet
Initial version
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Safe Production Release Pipeline
End-to-end safe deployment workflow from pipeline setup through progressive rollout to incident response readiness
© 2026 Kill The Dragon GmbH. This skill and its system prompt are protected by copyright. Unauthorised redistribution is prohibited. Terms of Service · Legal Notice