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Submission Tags: falconsandbox
Submission: On September 25 via api from US — Scanned from US
Submission Tags: falconsandbox
Submission: On September 25 via api from US — Scanned from US
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Skip to main content Kraken CIDocsDemoQuick StartBlog Community * Contributing * Discord Server * GitHub Discussions * Google Discussion Group Sponsor UsSupportContactGitHubDownload SearchK KRAKEN CI The same features as in other CI/CD platforms and tools but this time with emphasis on Testing. Recent Blog Posts04/18 Radicle and Discord support - 1.712/05 Windows Support in AWS - 1.610/15 Windows Support in Kraken Agent - 1.508/31 Environment Variables - 1.407/23 Conditional Steps - 1.3 Mission: deliver a modern, open-source, on-premise CI/CD system that is highly scalable and focused on testing. PASS OR FAIL? MORE Failures are boring, now observe regressions and fixes, see behavior of test cases over time on charts. Look at changes, compare with previous results. Unstable tests are automatically identified and marked. MORE DIMENSIONS TO RESULTS Performance testing, obviously. Now with support for multiple iterations, statistic analysis (avg, median, stdev, cv and more). And with automatic regression detection. EXECUTOR ENGINES Common way of executing jobs is doing this directly in local system. Beside that Kraken allows for execution in containers (Docker or LXD) or in virtual machines (AWS EC2). EFFICIENT AND STANDARDIZED PRE-COMMIT TESTING Reduced risk of regressions. Developers can test their code with the same tests that are used for product validation. No need for expensive individual bench test environments. BROAD SPECTRUM OF EXECUTION ENVIRONMENTS Testing on a standard hardware is easy. What about automated testing on unstable pre-production hardware platforms? Or in an simulation environment, when real hardware is expensive or does not exist? And with a variety of automatically deployed operating systems. CLOUD & AUTOSCALING Kraken can operate in the cloud. In can be easily deployed to the cloud but also can automatically spawn new executing machines there if the demand is high. Currently the autoscaling feature is supported in AWS. Docs * Overview * Quick Start * Usage * Administration * Guides * Reference Community * Contributing * Discord Server * GitHub Discussions * Google Discussion Group Business * Support * Contact * Privacy Policy More * Blog * GitHub * LinkedIn Copyright © 2024 Michal Nowikowski. Built with Docusaurus. Icons made by Freepik from flaticon