Product engineering case study · Plev-owned product
CannaNiche — Integrated Business Operations Platform
- Custom Software
- Database Architecture
- Systems Integration
- APIs & Automation
The challenge
Cannabis businesses often run point of sale, online ordering, cultivation, and state compliance reporting in separate tools, re-entering the same data and reconciling it by hand.
Approach
Design one platform around a shared data model, so sales, inventory, and cultivation records feed each other, and treat regulatory reporting as an integration rather than a manual export.
Solution
- Point of sale and e-commerce in one application.
- Grow (cultivation) management.
- State compliance reporting through METRC integrations.
Engineering outcomes
- Multiple business areas served by a single platform and data model.
- Compliance reporting connected to a third-party regulatory system.
What this demonstrates
End-to-end development of a complex, multi-module business application — data architecture, integrations with external systems, and workflows shaped by real operational and regulatory constraints.
Product engineering case study · Plev-owned product
LegitUptime — Monitoring & Reliability Platform
- Cloud & Infrastructure
- Application Monitoring
- Systems Integration
- APIs & Automation
The challenge
Teams need to know when a website or service goes down, or a certificate is about to expire, before their customers notice.
Approach
Build a monitoring service that checks targets from multiple locations, alerts the right people through the channels they already use, and communicates status publicly.
Solution
- Uptime checks from global ping locations.
- Instant alerts, including Slack and Twilio integrations.
- Public status pages.
- SSL certificate expiry reminders.
Engineering outcomes
- A running monitoring product with automated alerting.
- Notifications delivered through third-party messaging integrations.
What this demonstrates
Experience with distributed infrastructure, scheduled automation, external API integrations, and the reliability practices Plev applies to the systems we build and support.