This month, we're highlighting features that provide greater flexibility and innovative ways to manage data, as well as sharing ongoing platform enhancements.
Flexibility to build with your preferred technology
Deploy and manage LoRaWAN sensors
With Viam, you can now use inexpensive, off-the-shelf hardware like a Raspberry Pi to create your own LoRaWAN gateway, then install Viam on the same Raspberry Pi to easily get the sensor’s data.
ML model support for the NVIDIA Jetson Orin Nano
This builds on the promise of Viam to support your preferred hardware and software for interacting with the physical world, which means you can ship production-grade hardware such as NVIDIA's embedded GPUs like the Orin Nano without changing your entire application.
App Cloud API in the Go SDK
Go developers can now interact with the Viam Cloud platform using the newly added App Cloud API in the Go SDK, making it easier than ever to build powerful, cloud-connected applications.
New ways to work with data
Teleop time series widget improvements
You can now display multiple data lines from different components and data from non-sensor components (e.g., motors, boards), as well as customize the data query powering the visualization.
API for most recent data captured
You can now use the new get_latest_tabular_data API to get the most recent captured sensor data from a specific component or service’s data capture method that has been synced to the cloud.
Continued platform enhancements
Introducing Viam’s Micro-RDK
Viam’s Micro-RDK is a development kit that enables microcontrollers to operate efficiently within an edge ecosystem.
Maintenance windows for production environments
You can now schedule maintenance windows for production environments, ensuring your devices remain fully operational during business hours or peak customer usage periods.
Bonus: water-pouring demo
See the Viam motion planning service in action (watch on YouTube).
Read more about these features and their applications in our January platform roundup.
