Background:
Muchly’s team has deep experience stabilising high‑volume file handling. In a recent engagement, we were asked to create a reliable way to move and process large files across different teams, operating systems, and clouds without locking into a single vendor.

Challenge:
Teams worked on Windows, Linux, and Mac, with infrastructure in both AWS and GCP. File moves were inconsistent, scripts varied by team, and failures were hard to spot. The client needed one dependable path for moving and processing files, easy to plug into existing workflows.

Solution:
We delivered a portable file‑operations tool that runs as a CLI, in Docker, or inside Kubernetes. It supports immediate runs and queued jobs, with queueing via file watchers, API calls, or Kubernetes job queues – all visible through a simple web UI. The focus: predictable runs, clear observability, and straightforward handover so teams can own it day‑to‑day.

Key features included:

• Cross‑platform execution (Windows, Linux, Mac) using the same job definitions.
• Cloud‑agnostic transfers between local storage, AWS S3, and GCP buckets with integrity checks and retries.
• Utility tasks (e.g., extract tarballs, list bucket contents) to simplify common operational steps.
• Modular architecture so new tasks can be added without disruption.
• Structured logging and audit trails for transparency and faster troubleshooting.

Users called it “software that just works” – reliable, simple, and free of unnecessary complexity.re that just works” – reliable, efficient, and free of unnecessary complexity.

Results:
The automation enabled teams to process files more efficiently, regardless of their operating system or cloud provider. Its flexibility and ease of use made it an essential part of the workflow, and its modular design ensures it can evolve with future needs.

Do you have systems that don’t talk to each other?

Get in touch now to find out how muchly we can help you