Systems | Development | Analytics | API | Testing

Teams that get the most out of TrueTest are those handling frequent releases, supporting multiple applications, and testing complex, end-to-end workflows. It is especially valuable for larger testing teams that need to automate at scale, collaborate across members, and avoid maintenance overhead while keeping up with continuous in-sprint testing and regression needs — Alex Martins, VP of Strategy at Katalon.

Escaping the monolith didn’t just simplify architecture—it unlocked speed, flexibility, and hiring freedom for Busie.

See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we use just three simple prompts to pull Google Business Profile data across 8 different business locations and instantly generate a beautiful, executive-ready HTML dashboard. Instead of manually logging into multiple accounts and copying data into spreadsheets, we use the Databox MCP inside Claude to: Fetch Data Instantly: Claude automatically gathers impressions, clicks, and calls for every single business location through the MCP, comparing current vs. previous month data without any manual exports.

Retaining total clarity over your metadata doesn't have to be a manual burden. While traditional BI tools often demand more time than they save, this technical walkthrough explores how to leverage CSTools—a Python-based utility—to bypass the UI and fetch metadata directly via REST APIs. Automating your cluster oversight is essential for reliable, code-first tracking of users and groups at scale. By using CSTools, you can eliminate the manual "busy work" and offload the repetitive tasks that weigh down your data team.