Karate VS Grafana

Karate Reviews

Grafana Reviews

Karate mentions (10)

• Cucumber Maintainer out of Job and future of the project is uncertain

  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 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. - Source: Hacker News / about 1 year ago

• Lama2: Plain-Text Powered REST API Client for Teams

  Congrats on the launch ! I'm the lead dev of [Karate](https://github.com/karatelabs/karate) 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... - Source: Hacker News / over 1 year ago

• Hurl, run and test HTTP requests with plain text

  I recently found a BDD style tool that has native HTTP comprehension, which seems like it hits a similar area in the testing concept space: https://github.com/karatelabs/karate. - Source: Hacker News / over 1 year ago

• Hurl 1.8.0, text based integration tests for REST APIs and web sites

  I'm doing something similar but taking the approach of karate framework making it a kitchen sink of e2e testing tools. Love to see another rust based solution! I might open source mine at some point, I've implemented curl + webdriver, I will expand to support other things in my stack like desktop automation. Source: over 1 year ago

• Automated testing

  We use karate to test our fully integrated graphql backend. Has Gherkin language support. Source: over 1 year ago

Grafana mentions (197)

• Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana

  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... - Source: dev.to / about 2 months ago

• Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard

  To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / about 1 month ago

• Monitoring, Observability, and Telemetry Explained

  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. - Source: dev.to / about 1 month ago

• 4 facets of API monitoring you should implement

  Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / 2 months ago

• How to collect metrics from node.js applications in PM2 with exporting to Prometheus

  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:. - Source: dev.to / 3 months ago