Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.
Based on our record, Karate should be more popular than Datadog. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
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
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
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
We use karate to test our fully integrated graphql backend. Has Gherkin language support. Source: over 1 year ago
Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 7 months ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
.. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago
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