rpi-clone VS Grafana

I've been running a bunch of Pi's for years now, and the biggest problem I've had is the Pi itself dying: 24/7 usage is hard on a small device. I've also found that stable power is essential, and to that end I've always used 5v 3a branded power cubes, plugged into a pure sine wave UPS. Choice of micro-SDHC cards is important and I ended up getting ATP industrial cards (https://www.atpinc.com/products/industrial-sd-cards) - expensive but really long-lived. Finally, using RPi-clone (https://github.com/billw2/rpi-clone) on a regular basis has been a life-saver. I clone to Sandisk Extreme micro-SDHCs and can recover from an outage in minutes.

I would normally use the Pi SD-Card copier to duplicate the SD-Card to an SSD but I'm unsure if this is available on the Ubuntu image - you could possibly use this program [Github] if you are not keen on using dd with a running system.

Then you will need to clone the SD to the SSD, you can use many tools that are available from your desktop computer or you can try with rpi-clone, just connect the SSD with Pi booted from SD, stop any possible service/docker to prevent any copy error and run, adapting device naming but usually will be (check device with dmesg):

I used rpi-clone, it was super easy. Whole process took 10 minutes. https://github.com/billw2/rpi-clone

rpi-clone

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.