For many instructors, the hardest part of running cloud labs isn't teaching — it's preparing. Setting up accounts, writing instructions, validating outcomes, and grading at scale can take days. The result? Faculty often rely on outdated slides or generic exercises that don't match their curriculum.
Meghkosh puts faculty first. With CloudX Canvas, instructors can author a complete lab playbook in less than an hour:
- Select a cloud provider — AWS, Azure, Google Cloud, Oracle, or Utho
- Define steps that match course objectives (e.g., build a VPC, deploy a service, expose an API)
- Write instructions directly, or let AI generate guided content
- Set success criteria for each task, so evaluation is built-in from the start
Once published, students receive sandbox accounts through CloudX Lab, progress is tracked in real time, and outcomes are auto-graded with TruthSeeker. Meanwhile, CloudX Observe provides instructors with a full view of performance across batches — identifying where students excel, struggle, or need reinforcement.
The shift is profound: what once took days of setup now takes less than an hour of design. Faculty move from administrators of labs to authors of learning journeys, focusing on pedagogy while the orchestration layer handles provisioning, monitoring, and evaluation.
With Meghkosh, faculty don't just manage labs — they craft experiences that scale.