spectacles
kraken
| spectacles | kraken | |
|---|---|---|
| 1 | 15 | |
| 208 | 123 | |
| 0.5% | 3.3% | |
| 8.5 | 8.7 | |
| 5 days ago | 2 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
spectacles
kraken
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10 open source tools that platform, SRE and DevOps engineers should consider in 2024.
Kraken CI is a modern CI/CD system that operates on the Continuous Integration philosophy, focusing on pre-commit and post-commit phases in software development. In the pre-commit phase, developers and testers prepare code changes, aiming to minimize the risk of breaking production code. Kraken CI facilitates this by providing a validation environment that simplifies testing, making it easier to produce quality code. It reduces the likelihood of large, risky changes and helps manage code integration more effectively.
- Seeking Best Practices for Local Development in a Microservices Environment
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CI platform for container based workflows
You could have a look on https://kraken.ci.
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Webhooks in Kraken CI for GitHub, GitLab and Gitea
Kraken CI is a new Continuous Integration tool. It is a modern, open-source, on-premise CI/CD system that is highly scalable and focused on testing. It is licensed under Apache 2.0 license. Its source code is available on Kraken CI GitHub page.
- Gitlab CI server alternative that is more FOSS
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Why Use Jenkins?
Maybe have a look on https://kraken.ci. It aims to compete with Jenkins in on-prem, open-source area.
- Kraken CI
- Show HN: Kraken CI – modern alternative to Jenkins
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Autoscaling CI with Kraken CI
Hello, I wrote a new instalment of a series of articles about Kraken CI (https://kraken.ci). Part 3 is about autoscaling CI on AWS: https://nowikowski.medium.com/autoscaling-ci-with-kraken-ci-d1afb9d6b2c8
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Your First Workflow in Kraken CI
This is it. In this installment we learn how to clone Git repository, how to run tests using Pytest, how to install dependencies and how to build artifacts and store them in Kraken's storage. More about Kraken CI you can find on https://kraken.ci.
What are some alternatives?
looker_deployer - A tool to help deploy objects from one Looker instance to another
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
STATS-PAL - A relatively simple but powerful heuristic that can automate performance test result analysis by using powerful statistics.
publish-unit-test-result-action - GitHub Action to publish unit test results on GitHub
dbt2looker - Generate lookml for views from dbt models
jira-cli - 🔥 Feature-rich interactive Jira command line.
Concourse - Concourse is a container-based continuous thing-doer written in Go.
sample-project-python - Sample Python project for experimenting with Kraken CI
opal - Fork of https://github.com/permitio/opal
kittyMake - A simple buildSystem written in python
leapp - Leapp is the DevTool to access your cloud
gitlab-runner