Context
AcmeConnect provides managed integrations between customer ERP systems and AcmeConnect’s SaaS platform. Customers report deployment failures in the technical integration environment when new connector configurations, mappings, or transformation jobs are promoted from staging to production-like integration clusters. The current process uses manual troubleshooting across CI/CD logs, Airflow DAG runs, and warehouse load status, causing long resolution times and inconsistent support quality.
You need to design a supportable deployment pipeline and incident workflow for integration-environment issues so customer-facing teams can quickly identify whether failures come from infrastructure, orchestration, schema changes, or downstream data loads.
Scale Requirements
- Customers: 1,200 active enterprise tenants
- Deployments: 8,000 integration deployments/day, 15% peak-hour burst
- Pipelines per tenant: 5-20 scheduled ETL jobs
- Data volume: 4 TB/day across batch file drops and API ingests
- Latency target: Detect deployment failure within 2 minutes; restore service within 30 minutes for P1 incidents
- Retention: Deployment logs and lineage metadata retained for 180 days
Requirements
- Design a deployment pipeline for tenant-specific ETL integrations, including config validation, artifact promotion, and rollback.
- Support batch ingestion from SFTP/API sources into cloud storage and warehouse targets.
- Add automated checks for schema drift, credential failures, missing dependencies, and bad transformation logic before deployment.
- Provide tenant-level observability so support can isolate failures by deployment ID, DAG run, source connector, and target table.
- Define how failed deployments are quarantined, retried, or rolled back without duplicating downstream loads.
- Ensure support engineers can re-run a single tenant deployment safely and verify data quality after recovery.
Constraints
- AWS-first environment with existing Airflow, S3, and Snowflake footprint
- Small platform team: 3 data engineers, 1 SRE
- SOC 2 compliance; secrets must remain in AWS Secrets Manager
- Budget favors managed services over large custom platforms
- Tenant deployments must be isolated to avoid cross-customer impact
