snowflake-prod-checklist
Execute Snowflake production readiness checklist with monitoring and rollback. Use when deploying Snowflake pipelines to production, preparing for go-live, or validating production Snowflake configuration. Trigger with phrases like "snowflake production", "snowflake go-live", "snowflake launch checklist", "snowflake prod ready".
Best use case
snowflake-prod-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Execute Snowflake production readiness checklist with monitoring and rollback. Use when deploying Snowflake pipelines to production, preparing for go-live, or validating production Snowflake configuration. Trigger with phrases like "snowflake production", "snowflake go-live", "snowflake launch checklist", "snowflake prod ready".
Teams using snowflake-prod-checklist should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/snowflake-prod-checklist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How snowflake-prod-checklist Compares
| Feature / Agent | snowflake-prod-checklist | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Execute Snowflake production readiness checklist with monitoring and rollback. Use when deploying Snowflake pipelines to production, preparing for go-live, or validating production Snowflake configuration. Trigger with phrases like "snowflake production", "snowflake go-live", "snowflake launch checklist", "snowflake prod ready".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Snowflake Production Checklist
## Overview
Complete checklist for deploying Snowflake data pipelines and integrations to production.
## Prerequisites
- Staging environment validated
- Production Snowflake account configured
- Resource monitors in place
- Monitoring infrastructure ready
## Pre-Deployment Checklist
### Authentication & Secrets
- [ ] Service accounts use key pair auth (not password)
- [ ] Private keys stored in secret manager (not files/env vars)
- [ ] Key rotation procedure documented and tested
- [ ] Network policy applied to production account
- [ ] Connection parameters use production account identifier
### Warehouse Configuration
- [ ] Production warehouses created with appropriate sizing
- [ ] Auto-suspend configured (60-300s based on workload)
- [ ] Auto-resume enabled
- [ ] Resource monitors with credit quotas and alerts
- [ ] Separate warehouses for ETL, analytics, and dashboard workloads
```sql
-- Production warehouse setup
CREATE WAREHOUSE IF NOT EXISTS PROD_ETL_WH
WAREHOUSE_SIZE = 'LARGE'
AUTO_SUSPEND = 120
AUTO_RESUME = TRUE;
CREATE WAREHOUSE IF NOT EXISTS PROD_ANALYTICS_WH
WAREHOUSE_SIZE = 'MEDIUM'
MIN_CLUSTER_COUNT = 1
MAX_CLUSTER_COUNT = 3
SCALING_POLICY = 'STANDARD'
AUTO_SUSPEND = 300
AUTO_RESUME = TRUE;
-- Resource monitor with alerts
CREATE OR REPLACE RESOURCE MONITOR prod_monitor
WITH CREDIT_QUOTA = 1000
FREQUENCY = MONTHLY
START_TIMESTAMP = IMMEDIATELY
TRIGGERS
ON 75 PERCENT DO NOTIFY
ON 90 PERCENT DO NOTIFY
ON 100 PERCENT DO SUSPEND
ON 110 PERCENT DO SUSPEND_IMMEDIATE;
ALTER WAREHOUSE PROD_ETL_WH SET RESOURCE_MONITOR = prod_monitor;
ALTER WAREHOUSE PROD_ANALYTICS_WH SET RESOURCE_MONITOR = prod_monitor;
```
### Data Pipeline Readiness
- [ ] All tasks resumed and running on schedule
- [ ] Streams not stale (check with `SHOW STREAMS`)
- [ ] Snowpipe notifications configured and verified
- [ ] COPY INTO error handling set (`ON_ERROR = 'CONTINUE'` or `'SKIP_FILE'`)
- [ ] Data retention set appropriately (`DATA_RETENTION_TIME_IN_DAYS`)
### Query & Performance
- [ ] Critical queries tested at production data volume
- [ ] Clustering keys set on large tables (>1TB)
- [ ] Statement timeout configured per warehouse
- [ ] Result caching enabled (`USE_CACHED_RESULT = TRUE`)
```sql
-- Set statement timeout for production
ALTER WAREHOUSE PROD_ETL_WH SET STATEMENT_TIMEOUT_IN_SECONDS = 3600;
ALTER WAREHOUSE PROD_ANALYTICS_WH SET STATEMENT_TIMEOUT_IN_SECONDS = 600;
-- Enable query result caching (default is ON)
ALTER ACCOUNT SET USE_CACHED_RESULT = TRUE;
```
### Access Control
- [ ] RBAC hierarchy follows Snowflake best practices
- [ ] No users have ACCOUNTADMIN as default role
- [ ] Service accounts have minimal required privileges
- [ ] Object ownership assigned to functional roles
```sql
-- Verify no one defaults to ACCOUNTADMIN
SELECT name, default_role
FROM SNOWFLAKE.ACCOUNT_USAGE.USERS
WHERE default_role = 'ACCOUNTADMIN' AND disabled = 'false';
```
### Monitoring & Alerting
- [ ] Query failure alerts configured
- [ ] Warehouse credit consumption dashboards
- [ ] Task failure notifications
- [ ] Login failure monitoring
```sql
-- Create alert for task failures (Snowflake Alerts feature)
CREATE OR REPLACE ALERT task_failure_alert
WAREHOUSE = PROD_ANALYTICS_WH
SCHEDULE = '5 MINUTE'
IF (EXISTS (
SELECT *
FROM TABLE(INFORMATION_SCHEMA.TASK_HISTORY(
SCHEDULED_TIME_RANGE_START => DATEADD(minutes, -10, CURRENT_TIMESTAMP())
))
WHERE state = 'FAILED'
))
THEN
CALL SYSTEM$SEND_EMAIL(
'prod_notifications',
'oncall@company.com',
'Snowflake Task Failure',
'One or more tasks failed in the last 10 minutes. Check TASK_HISTORY.'
);
ALTER ALERT task_failure_alert RESUME;
```
### Disaster Recovery
- [ ] Time Travel retention set (Enterprise: up to 90 days)
- [ ] Database replication configured for critical databases
- [ ] Failover tested to secondary account/region
- [ ] Backup procedure documented
```sql
-- Enable 14-day Time Travel on production tables
ALTER TABLE prod_db.core.orders SET DATA_RETENTION_TIME_IN_DAYS = 14;
-- Enable database replication
ALTER DATABASE prod_db ENABLE REPLICATION TO ACCOUNTS myorg.secondary_account;
```
## Health Check Query
```sql
-- Run this before and after deployment
SELECT 'Warehouses' AS check_type,
COUNT(*) AS count,
COUNT_IF(state = 'STARTED') AS active
FROM TABLE(INFORMATION_SCHEMA.WAREHOUSES())
UNION ALL
SELECT 'Tasks', COUNT(*), COUNT_IF(state = 'started')
FROM TABLE(INFORMATION_SCHEMA.TASKS())
UNION ALL
SELECT 'Streams', COUNT(*), COUNT_IF(stale = FALSE)
FROM TABLE(INFORMATION_SCHEMA.STREAMS())
UNION ALL
SELECT 'Pipes', COUNT(*), COUNT_IF(is_autoingest_enabled = 'true')
FROM TABLE(INFORMATION_SCHEMA.PIPES());
```
## Rollback Procedure
```sql
-- Use Time Travel to revert a table
CREATE OR REPLACE TABLE prod_db.core.orders
CLONE prod_db.core.orders AT (TIMESTAMP => '2026-03-21 12:00:00'::TIMESTAMP_NTZ);
-- Suspend problematic tasks
ALTER TASK transform_orders SUSPEND;
-- Revert warehouse changes
ALTER WAREHOUSE PROD_ETL_WH SET WAREHOUSE_SIZE = 'MEDIUM';
```
## Error Handling
| Alert | Condition | Severity |
|-------|-----------|----------|
| Task failure | `state = 'FAILED'` in TASK_HISTORY | P1 |
| Stream stale | `stale = TRUE` in SHOW STREAMS | P1 |
| Credit quota >90% | Resource monitor trigger | P2 |
| Query queue >5min | `avg_queued_load > 0` sustained | P2 |
| Login failures spike | >10 failures/hour | P2 |
## Resources
- [Resource Monitors](https://docs.snowflake.com/en/user-guide/resource-monitors)
- [Business Continuity](https://docs.snowflake.com/en/user-guide/replication-intro)
- [Access Control Best Practices](https://docs.snowflake.com/en/user-guide/security-access-control-considerations)
## Next Steps
For version upgrades, see `snowflake-upgrade-migration`.Related Skills
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