Karate VS Grafana

This is why we need better tools which will give benefits for the added complexity. If you need to create both the feature files AND the code, it's just complexity with little benefits. But frameworks like https://github.com/karatelabs/karate or https://github.com/Endava/cats are hiding this complexity and remove the code layer entirely. Which, in my view, this is where you need to be in 2023, particularly for API testing.

- https://insomnia.rest/ - https://hoppscotch.io/ - https://github.com/karatelabs/karate - https://github.com/warmuuh/milkman

Congrats on the launch ! I'm the lead dev of [Karate](https://github.com/karatelabs/karate) and was wondering if you had come across it. I strongly agree that collaboration should be [via Git](https://www.karatelabs.io/first-class-citizens) and the IDE and traditional solutions fall short. I hope Karate's syntax passes your "memory friendly" test :) We get regular feedback is that it is easy to read and even non-programmers can pick it up. One thing I feel we do really well is chaining of HTTP requests. And we have plugins for [IntelliJ](https://plugins.jetbrains.com/plugin/19232-karate) and [VS Code](https://marketplace.visualstudio.com/items?itemName=karatela...).

Maintaining a tool like this as open-source is hard, all the best !

FWIW https://github.com/karatelabs/karate is 83% Java.

We use karate to test our fully integrated graphql backend. Has Gherkin language support.

Try Karate

Take a look at Karate.

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.