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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, Clipdrop should be more popular than Datadog. It has been mentiond 19 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.
I'm trying to use stable diffusion XL at clipdrop.co to generate a patty / burguer / hamburguer meat images, but it looks like it's impossible. I've tried dozens of prompts and the result is always a complete hamburguer. You can check the last two prompts I tested bellow and I'd really appreciate if you could give me some advice on what I can improve in this prompts to get closer to my desired result. Source: 6 months ago
If you want to play around with Stable Diffusion XL: https://clipdrop.co. - Source: Hacker News / 11 months ago
A lot of mis- and disinformation going on and it seems like it's getting worse fast. Fake people writing on reddit, fake portraits of people online https://www.thispersondoesnotexist.com/ (and that's already old tech), there are already pretty much fully convincing fake human voices in operation (on youtube videos etc.), there are fake people playing online video games and talking "into the mic" etc. Fully... Source: 11 months ago
Photoshop is not the best choice here. If you're new to design, better learn Figma. Adobe didn't pay $20 billion to acquire them for nothing, they know it's a better software. Photoshop is only useful in very specific cases, and even then the free browser version will likely be enough. Plus vector graphics are better in most cases anyway. I do everything for this subreddit in Figma + ClipDrop AI tools and I've... Source: 11 months ago
Hi, first time user of Stable Diffusion (and similar projects) here. I was playing around with SDXL 0.9 on clipdrop.co and wanted to dive a little bit deeper and so I installed SD.Next and downloaded SDXL 0.9. Well, lets say I am confused: I used the same prompt on clipdrop.co and locally, but the results are not even close. Can somebody point me in the right direction? I think I am missing something fundamental. Source: 11 months 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 / 8 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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PhotoDemon - Lightweight portable BSD licensed photo editor for Windows focused on performance and usability.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.