清理: - 删除 34 份过时文档(gap reports/QA临时报告/验收报告/阶段性文档) - 删除 docs/.hermes/skills 第三方 skills 副本(16 文件) - 删除 skills-lock.json 目录归集: - 根目录仅保留 README.md 索引 - product/ — 产品与架构设计(PRD + ARCHITECTURE + P2设计文档 + AI/企业路线图) - tracking/ — Chatwoot parity 开发跟踪 - requirements/ — M01-M12 模块需求 - plans/ — 历史实现计划 - parity/ — 路由 parity 与前端契约 - qa/ — QA 报告与测试计划 - ops/ — 运维部署 命名规范: - 全小写 kebab-case,禁止全大写文件名 - product/tracking/ops 用 NN- 序号前缀 - requirements 用 MNN- 两位零填充模块号 - plans/qa 用 YYYY-MM-DD- 日期前缀 - requirements M1-M9 零填充为 M01-M09(修复字典序) 同步更新: - backend/cmd/route_parity/main.go 路径默认值 - backend/scripts/parity_frontend_smoke.sh 报告路径 - 所有 docs 内部交叉引用 - .gitignore 排除编译产物 (backend/gochat, backend/route_parity) - 新增迁移 000052/000053 - 前端 WS 相关修改
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2.7 KiB
GoChat Rolling Upgrade Strategy
Reference: Chatwoot deployment uses zero-downtime upgrade pattern
Overview
GoChat follows a blue-green deployment strategy for production upgrades, ensuring zero downtime during version transitions.
Upgrade Process
Step 1: Pre-flight Checks
- Verify new Docker image is built and pushed:
docker pull gochat/gochat:${NEW_VERSION} - Run database migrations on a staging environment first
- Verify backward compatibility of migrations (new code must work with old schema)
- Check feature flags — new features should be disabled by default
Step 2: Database Migration
# Run migrations BEFORE deploying new code
# Migrations must be backward-compatible
docker compose -f docker-compose.prod.yml exec gochat /app/gochat migrate up
Step 3: Blue-Green Deployment (Docker Compose)
# 1. Deploy new version as "green" alongside "blue" (current)
docker compose -f docker-compose.prod.yml up -d --no-deps gochat-green
# 2. Wait for health check to pass
curl -f http://gochat-green:3000/health
# 3. Switch traffic (update nginx/upstream config)
# nginx: switch upstream from blue to green
# 4. Drain old connections on blue
# Wait 30s for in-flight requests to complete
# 5. Stop blue
docker compose -f docker-compose.prod.yml stop gochat
Step 4: K8s Rolling Update
# Kubernetes handles rolling updates automatically via Deployment strategy
kubectl set image deployment/gochat gochat=gochat/gochat:${NEW_VERSION}
kubectl rollout status deployment/gochat
K8s config (in Helm chart):
- maxSurge: 1 (one extra pod during rollout)
- maxUnavailable: 0 (no pods allowed to be unavailable)
- readinessProbe: /ready endpoint
- livenessProbe: /live endpoint
Step 5: Verification
- Smoke test: hit /health, /ready endpoints
- Check logs for errors:
docker compose logs gochat --since 5m - Verify metrics: Prometheus dashboard should show normal traffic
- Monitor for 15 minutes before finalizing
Step 6: Rollback (if needed)
# Docker Compose rollback
docker compose -f docker-compose.prod.yml exec gochat /app/gochat migrate down ${N}
docker compose -f docker-compose.prod.yml up -d --no-deps gochat-${OLD_VERSION}
# K8s rollback
kubectl rollout undo deployment/gochat
Migration Compatibility Rules
- Migrations MUST be additive only in production (add columns, never remove)
- Column removals require a 2-phase migration: soft-remove then hard-remove
- New columns should have defaults or be nullable
- Renames require a 3-phase migration: add new → copy data → remove old
Worker Upgrade
Workers drain naturally: set a shutdown deadline, let in-flight jobs finish, then stop. New workers pick up queued jobs from Redis.