Nightmare VS Grafana

Nightmare JS is a web automation library designed for websites that don’t own APIs and want to automate browsing tasks. Nightmare JS is mostly used by developers for UI testing and crawling. It can also help mimic user actions(like goto, type, and click) with an API that feels synchronous for each block of scripting.

If you want to make your own custom solution, i recommend looking into puppeteer or nightmare. They are browser automation tools that can do this kind of work.

install any end to end testing system, such as playwright, puppeteer, or nightmare

- https://open.segment.com

come effettuare il logout tramite script. Immagino si tratti di inviare un form con nome utente e password, in tal caso con strumenti come https://github.com/segmentio/nightmare#examples dovresti riuscire con facilità

Depends on the use-case. If you want to save complete websites for offline usage I've created [telescopy](https://www.npmjs.com/package/telescopy) for that. If you need to extract content from one html-page then try something like [nightmare.js](https://github.com/segmentio/nightmare)

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.