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add ideas of Karmada project for lfx Mar-May 2023 #794

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Jan 31, 2023
Merged

add ideas of Karmada project for lfx Mar-May 2023 #794

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Add project ideas for Karmada
RainbowMango Jan 31, 2023
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Merge branch 'main' into pr_lfx2023spring
nate-double-u Jan 31, 2023
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28 changes: 27 additions & 1 deletion lfx-mentorship/2023/01-Mar-May/project_ideas.md
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Expand Up @@ -232,6 +232,33 @@ Note: This item is a work in progress. The selected mentee is expected to contin
- Mentor(s): Anurag Kumar (@kranurag7, contact.anurag7@gmail.com), Ankur Kothiwal (@Ankurk99, ankur.kothiwal99@gmail.com), Barun Acharya (@daemon1024, barun1024@gmail.com), Rahul Jadhav (@nyrahul, nyrahul@gmail.com)
- Issue: <https://github.com/kubearmor/KubeArmor/issues/992>


### Karmada

#### Provide interactive environments for Karmada users
- Description: Using interactive environments(like killercoda) for users to get started quickly.
- Expected Outcome: Implement 2 Karmada examples in killercoda, including a CLI installation example and script installation example, both contains installation and deploying workload to multi-clusters steps.
- Recommended Skills: Kubernetes, Karmada
- Mentor(s): Wei Jiang (@jwcesign, jiangwei115@huawei.com), Hongcai Ren(@RainbowMango, qdurenhongcai@gmail.com)
- Upstream Issue: https://github.com/karmada-io/karmada/issues/3085

#### Enhance Karmada testing coverage

- Description: Karmada would like to improve the UT coverage of the code to better maintain the quality of the code and reduce the introduction of defects.
- Expected Outcome: Increase the UT coverage rate to 65% (currently, the UT coverage rate is [43%](https://app.codecov.io/gh/karmada-io/karmada) ), increase the code coverage rate by about 20%.
- Recommended Skills: Golang, Git
- Mentor(s): Zhen Chang (@XiShanYongYe-Chang, changzhen5@huawei.com), Hongcai Ren(@RainbowMango, qdurenhongcai@gmail.com)
- Upstream Issue: https://github.com/karmada-io/karmada/issues/3086

#### Bundle third-party resources into the Resource Interpreter framework

- Description: Karmada's Resource Interpreter Framework is designed for interpreting resource structure. It consists of built-in and customized interpreters. Karmada could bundle some popular and open-sourced resources so that users can save the effort to customize them.
- Expected Outcome: The resources from projects, including Argo Workflow/Flux CD/Kyverno/OpenKurise, could be bundled in Karmada, and the corresponding documentation should also be supplemented.
- Recommended Skills: Go, Cloud Native
- Mentor(s): Tiecheng Shen (@Poor12, shentiecheng@huawei.com), Hongcai Ren(@RainbowMango, qdurenhongcai@gmail.com)
- Upstream Issue: https://github.com/karmada-io/karmada/issues/3087


### Linkerd

#### Linkerd Dashboard Improvements
Expand All @@ -257,4 +284,3 @@ Note: This item is a work in progress. The selected mentee is expected to contin
- Upstream Issue: https://github.com/linkerd/linkerd2/issues/7566

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