Hybrid Cloud Storage for Robotics: How to Cut Visual Data Costs Up to 10x
Per-sensor data math, the hidden costs of egress and retrieval, content-addressed archives and a worked cost model for a hybrid architecture.
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Robotics data, explained
In-depth guides on robot data pipelines, hybrid cloud storage, edge AI, drone telemetry and new business models for machines.
Featured · Data Pipelines
ROS 2 Data Logging at Fleet Scale: rosbag2, MCAP and Pipelines That Survive Production
Why logging breaks at fleet scale, how to configure rosbag2 with MCAP, compression and snapshot mode, and a reference pipeline from robot to searchable archive.
· 12 min read
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Merkle Trees for Machine Data: Building Tamper-Evident Logs for Robots and IoT
Hashing, inclusion and consistency proofs, signing roots with device keys and anchoring them in time — the building blocks of verifiable machine data.
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Robot-as-a-Service: How Machine Data Powers Usage-Based Pricing and Financing
Subscription, pay-per-hour or pay-per-pick? How utilization data turns industrial robots into a service — and how to make that data trustworthy for billing.
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Edge vs. Cloud: Where to Run Video Analytics for Robot and Camera Fleets
A decision framework for placing computer vision workloads at the edge, in the cloud or both — with a docker-compose example for an edge inference service.
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Drone Telemetry Pipelines: From PX4 and MAVLink to Searchable Flight Data
ULog flight logs, MAVLink streams and the PX4–ROS 2 bridge: building a pipeline that turns every landing into searchable, analyzable flight data.
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