Diffy is a regression test tool for css regression testing. Diffy verifies your deployments by taking screenshots of pages and comparing them to find the differences. Great for web developers to save time on testing. Allows to test multiple environments like comparing Staging VS. Production or "before" VS "after" the deployment. Can test hundreds of pages in multiple breakpoints with a rich toolset to avoid false positives. Takes nearly zero time to get started. Proprietary screenshots comparison algorithm.
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Based on our record, GitHub Actions seems to be a lot more popular than Diffy.website. While we know about 307 links to GitHub Actions, we've tracked only 5 mentions of Diffy.website. 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.
Typical... Never seen that before. Just to check https://diffy.website/? Source: about 3 years ago
There is also a service which can be integrated into your pipeline: https://diffy.website. - Source: Hacker News / about 3 years ago
I use Diffy for now, but I'm always searching for better ways. There are some command line tools that I plan to test when I have some extra bandwidth. Source: about 3 years ago
For the lazy geeks out there, the service diffy does this easily and for cheap: https://diffy.website/. - Source: Hacker News / over 3 years ago
Have you looked at using something like https://diffy.website/? I use that on my sites, and although it's a little pricier up-front, I've found it does a great job at catching visual changes. It doesn't catch everything though. Source: almost 4 years ago
If your code lives on GitHub (which it probably does), GitHub Actions should be your go-to for CI/CD. - Source: dev.to / 4 days ago
My base target is used for development use, but my production target is used for production use. I'm using a GitHub Actions workflow to checkout my code, installing dependencies without development dependencies, and building my application. When that's done, I build the Docker image and send it to my container registry. - Source: dev.to / 17 days ago
In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated... - Source: dev.to / 24 days ago
The Python Pulumi code is deployed with GitHub Actions. This leverages static credentials for AWS embedded as repository secrets. I have implemented two workflows:. - Source: dev.to / about 1 month ago
When Microsoft announced the App Center shutdown last year, they recommended an array of alternative tools from elsewhere in their developer toolkit and beyond to replace its capabilities. Users seeking an alternative to App Center's hosted build automation, or App Store deployment, capabilities can look to Azure DevOps Pipelines or GitHub Actions. For cloud-based on-device testing, they recommend external tool... - Source: dev.to / about 1 month ago
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