A governance-first SQL automation and risk scoring toolkit. Built for DBAs who need AI assistance without sacrificing control, auditability, or production stability.
Scores every schema change against table size, peak traffic windows, lock risk, and historical incident patterns. Returns a 0–100 score with a tiered classification and advisory rationale.
Establishes behavioral baselines and surfaces queries deviating from normal patterns — execution time spikes, unusual scan ratios, new table access patterns, parameter sniffing symptoms.
Logs every advisory output, authorization decision, and executed action. Tamper-evident, queryable, and exportable for change control and compliance reporting.
PowerShell and YAML modules for Azure DevOps, GitHub Actions, and Jenkins. Risk score gates block HIGH and CRITICAL deployments from promoting to production.
Builds 60, 90, and 180-day projections for storage, IOPS, CPU, and memory from your DMV data. Includes seasonal pattern weighting and confidence intervals.
All thresholds, risk weights, alert rules, and governance policies are defined in versioned config files. Environment-specific profiles for dev, staging, and production.
2016, 2017, 2019, 2022
Managed Instance & Database
SQL Server on RDS
Azure DevOps · GitHub Actions · Jenkins
SQLRPA was built from the ground up with enterprise governance requirements in mind. The audit trail, authorization workflow, and least-privilege access model aren't optional add-ons — they're the foundation the entire toolkit is built on. If it can't be governed and audited, it doesn't ship.
SQLRPA is currently in open beta. Beta access includes the full toolkit, documentation, SQL scripts, YAML pipeline modules, and direct feedback access to the author.
Drop your email and I'll send you access details, setup docs, and the GitHub repo invite.
No spam. Beta access only. I'll follow up personally.
Both editions cover the full architecture — why it's built this way, how to customize it for your environment, and the governance model that makes it safe for enterprise production use.