Support & Maintenance
Ongoing support to keep your data platforms running smoothly, with flexible hours for advisory, troubleshooting, and upkeep.
Context
Post-implementation or stand-alone support hours to maintain, debug, optimize, and evolve your data ecosystem. Think of this as your safety net for modern data platforms.
How It Works
- Hour-based or bucket-based plans
- Includes bug fixing, pipeline troubleshooting, documentation updates, performance tuning
- Slack/email response, monthly check-ins, optionally 24/7 monitoring
Benefits
- Keeps your platform stable and up to date
- Avoids technical debt from lingering issues
- Scales down cost vs. full-time hires
- Optional monitoring and alerts (e.g., Monte Carlo, Airflow, DataDog)
When does it make sense?
When your team needs ad hoc support or doesn’t have the bandwidth to handle maintenance of ETL pipelines, dashboards, or models.
Pricing Model
Ongoing access to strategic or technical support each month.
- Structure: Monthly fee based on scope and hours included.
- Use Cases: Advisory, maintenance, performance monitoring, or analytics backlog.
- Benefits: Predictable costs, continuous availability, flexible coverage.
- Best For: Companies needing “always-on” support without building internal teams.