I have optimized job execution time by running test scripts in parallel and creating multiple pipelines; we've significantly reduced execution times. What could take 50 minutes can be cut down to just 8 to 10 minutes through these optimizations.
it specialist at a tech services company with 10,001+ employees
Aug 31, 2023
Creating workflows in YAML format is straightforward and easy to comprehend. This includes both understanding and writing workflows. Additionally, the downloading aspect for third-party instances can also be easily done. It's worth noting that vulnerability analysis and similar tasks should be part of our automation through data workflows. Furthermore, we can break down our processes step by step, starting from building, then moving on to analysis, testing, and finally deploying in production and the clear environment. All of these tasks can be efficiently managed within this platform.
Engineer at a recreational facilities/services company with 1,001-5,000 employees
Nov 1, 2024
The most valuable features of GitHub Actions include its seamless integration within GitHub, which simplifies the CI/CD pipeline setup. The scalability of using different types of runners—both public and private runners—enhances deployment flexibility.
The main benefit is collaboration. It allows us to easily collaborate with other developers, regardless of location. For example, we can collaborate with both our African and German colleagues seamlessly. It's platform-agnostic, so it is flexible and not tied to any OS, so we can work on Linux, Windows, web, and even Oracle applications. It's flexible, reliable, and overall an excellent tool for our needs.
I find the automation feature of GitHub Actions most valuable for our building processes. It integrates seamlessly with GitHub, so there's no extra configuration needed, making the building process easy and efficient. GitHub Actions handles scalability well, automatically managing execution infrastructure without requiring additional configurations. We haven't yet explored GitHub Actions' support for AI projects, as we haven't used its AI capabilities.
It offers numerous built-in features for pipeline management, release management, and even work item tracking on boards, which makes it a versatile tool that seamlessly integrates with hardware and facilitates optimization.
The primary area for improvement I see is in artifact management, especially for saving screenshots or videos from failed tests or data-driven actions. Currently, the configuration for saving these artifacts is complex.
it specialist at a tech services company with 10,001+ employees
Aug 31, 2023
We can leverage this database tool to manage everything within our environment and data burners, allowing for customization and execution. An additional advantage is the capability to modify aspects like file size, making processes more efficient and faster across the pipelines. Regarding improvements or implementations, I believe there should be enhancements made to the deployment tool. It should be integrated as part of the solution.
Infrastructure-wise, we already have tools like GitHub and RobSpot, and data enables us to automate various processes, which is quite beneficial. As for further enhancements, I'm uncertain. I've shared everything I know. However, if there's something specific you'd like to see in future releases, a feature that may not exist yet but would be desirable, I can't provide any input on that matter.
