facebook VS Grafana

My Facebook bridge constantly locks up my account. [1]

[1] https://github.com/mautrix/facebook/issues/236

Sure, I use this bridge (https://github.com/mautrix/facebook) to bridge synapse server to my facebook account, so I can use facebook messenger through my synapse server. I like it mainly so I don't have to install facebook messenger on my phone.

It's unrelated, except for the fact that I used the reverse engineering of the facebook messenger protocol by the mautrix team. [1]

I may add a "matrix plugin" [2] if I feel like it someday, but probably after I implement group chat support. Then you'll be able to use XMPP<->Matrix<->some-other-thing for extra over-engineering points. ;)

I prefer XMPP because it's lighter on resources, server-wise at least, and it's managed through a democratic process, which has it upsides and downsides. As someone I like said "democracy is boring, dictatorship works faster".

[1] https://github.com/mautrix/facebook

There exists a Matrix-Facebook bridge, but unfortunately it requires a home server to run it and many people can't afford that.

I've recently set up a synapse instance on my home server using the official docker image, and a mautrix-facebook bridge also using docker. So far it's all working great! However, I've had issues setting up mautrix-whatsapp: when I follow the setup instructions on the GitHub I get the following error:

like this?

The bridges can get a little more complicated, here's the facebook setup instructions for python, but if that's too much for you then I'd reconsider beeper (p.s. they said thanks for the feedback on the sign-up form). I don't know anything about their payment options, but I know that you can always just use the Element chat client, available for web, android, ios, desktop in the usual stores.

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.