can-utils VS Grafana

CAN is just glorified ethernet. https://github.com/linux-can/can-utils

I use a USB2CAN and the Linux SocketCAN can-utils.

Use the "SocketCAN Driver for Linux" from their support page and then you can use any of the CAN-Utils programs: https://github.com/linux-can/can-utils

For testing I found the CANtact more than adequate. Worked very well with Linux which has the SocketCAN system that basically lets you treat the CAN bus as a network socket. Great tooling exists in can-utils to help you do quick tests, debug a CAN network, and the sniffer is a great help for reverse engineering.

The Linux-CAN package appears to have some J1939/ISOBUS tools as part of can-utils.

SocketCAN, NMEA 2000, can-utils

I'm using slcand (to create a "normal" CAN device from SLCAN), candump and cansniffer from the can-utils package on Linux. It is available as a package in Ubuntu, probably also on other distributions. https://github.com/linux-can/can-utils

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.