bandersnatch VS Grafana

2) https://github.com/pypa/bandersnatch//issues/1200#issuecomme...

My work has an isolated network that developers write applications to run inside of. These developers often write Python code. This Python code often requires modules from the Python Package Index (PyPi) to be downloaded using something like pip. In order to allow these developers to run their software on this isolated network, I need to provide them with a PyPi mirror so they can get the modules their software depends upon. To accomplish this, I setup a bandersnatch mirror on a VM in my DMZ and configured our VMs to use this mirror instead of the (unreachable from their perspective) internet. So far, so good.

It looks like DevPi may just work as a caching proxy as well. I also found Bandersnatch too. https://github.com/pypa/bandersnatch which is a configurable mirror with allow / block lists.

Essentially want something like DevPi but add the package to the bandersnatch allow list and mirror it from then on. With some extra large packages in the deny list.

Probably possible to wire that all up reasonably well, but probably just using a caching proxy is 90%+ of the improvement anyways. So may just stick with that.

Whatever is available on PyPI can be installed using pip install. Though it is important to check the package is legit and safe before installing. It is possible to host your own private repository using bandersnatch, nexus or using gitlab among others.

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.