Company Background
Green Hydrogen Systems (https://greenhydrogen.dk) is a Denmark-based pioneer in electrolyzer technology, delivering sustainable hydrogen solutions to the growing global demand for clean energy. With a mission to accelerate the green energy transition, the company develops, manufactures, and maintains modular electrolyzer units for industrial-scale applications.
Before Skedler: Manual Reporting Bottlenecks During Critical Production Phases
As a young and fast-scaling company, Green Hydrogen Systems had built a robust data monitoring architecture powered by Grafana. However, reporting — especially during critical test phases like Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) — was a major operational challenge:
Key Challenges:
- No native reporting capabilities in Grafana OSS.
- Enterprise Grafana was too expensive for a fast-growing team.
- No standard workflow to export test case metrics from dashboards.
- Only developers could create reports, using:
- Matplotlib-generated plots in Python notebooks
- Manual screenshots pasted into Word documents
- Reports were often assembled manually for FAT/SAT appendices, delaying approvals and increasing chances of error.
Peter says, “We had no real reporting before Skedler. Grafana screenshots and custom Python code were our only options. It wasn’t sustainable for a growing team.”
💸 Business Impact
- High manual effort for every electrolyzer unit’s test phase.
- Delays in releasing units from the factory and on-site commissioning.
- Test documentation was inconsistent, especially across non-programming stakeholders.
- Risk of compliance gaps in factory and customer-facing reports.
After Skedler: Automated, Professional Reporting Without the Expensive Grafana Enterprise License
Green Hydrogen Systems integrated Skedler into their monitoring and reporting stack to bridge this gap, without breaking the bank. They skipped upgrading to Grafana Enterprise or building a custom solution.
Data Flow for FAT/SAT Reports
Customer → RabbitMQ → Databases → Grafana Dashboards (FAT/SAT) → Skedler Reports per Test Case
Skedler’s Role
- Automates report generation from Grafana dashboards per FAT/SAT test case.
- Accessible to non-technical users, removing reliance on developers.
- Standardizes reporting for all electrolyzer units — improving consistency and traceability.
- Supports upcoming products: Skedler reporting is ready to scale as the team launches their next-gen large electrolyzer.
“Skedler made it possible for non-programmers to generate test reports directly from Grafana. There was no other real option at our stage — and we didn’t want to pay for Grafana Enterprise just for that.”
💡 Results & Value Delivered
| Outcome | Impact |
| Faster FAT/SAT documentation | Reduced manual effort and eliminated delays in release documentation. |
| Empowered non-tech users | Engineers, QA teams, and ops staff can generate reports independently. |
| Higher-quality, consistent reports | Skedler ensures professional, standardized documentation every time. |
| Avoided enterprise licensing | Achieved robust reporting without upgrading to expensive Grafana Enterprise, resulting in cost savings of over $20,000/yr. |
| Scalable to future products | Flexible setup already supports new electrolyzer product lines. |
What’s Next?
Green Hydrogen Systems is continuing to expand its Skedler implementation. As their new electrolyzer units roll out, they plan to:
- Build new Grafana dashboards tailored for the next product line.
- Attach Skedler reports per test case to QA and engineering workflows.
- Use Skedler as the default reporting layer for internal and customer-facing analytics.
“We’re evolving organically. As we build new dashboards for the next big electrolyzer, Skedler will be used right from the start.”
Why This Matters and What You Can Take Away
Green Hydrogen Systems solved a problem many manufacturing teams still struggle with: automating FAT/SAT reports without expensive tools or manual effort.
This challenge isn’t unique to clean energy. But FAT and SAT reporting is mission-critical across industries from Oil & Gas to Biotech, Semiconductors to Water treatment. Industries where FAT/SAT processes are vital include:
- Oil & Gas – SCADA, PLC, safety systems
- Pharma & Biotech – GMP validation and audit readiness
- Power & Utilities – Equipment-grid integration
- Automotive & Industrial Automation – Robotics and assembly line compliance
- Aerospace & Defense – Mission-critical system verification
- Food & Beverage – Hygiene-compliant packaging systems
- Water & Environmental Engineering – Public infrastructure readiness
- Semiconductors – High-cost, high-precision tool commissioning
The FAT/SAT process is often stuck in outdated workflows like:
- Copy-pasting dashboard screenshots
- Writing custom scripts for every report
- Relying on developers for compliance documentation
- Paying for Grafana Enterprise just for reporting features
From this case study, here’s what teams can learn:
- Test documentation doesn’t need to be a bottleneck
- Non-developers can own the reporting process.
- You can scale reporting without scaling cost.
- Standardized, automated reports reduce risk and delay.
By integrating Skedler, an enterprise-ready automated reporting solution, teams save time, improve audit readiness, reduce compliance risk, and free up engineers for higher-impact work.
If you rely on Grafana for FAT/SAT and still do manual reporting, this is an opportunity to transform your process.
