Cloud Native Computing Foundation (CNCF)

Mentors: Student: Devdutt Shenoi

<p>To create a Cloud Native TiKV implementation which utilises a Cloud Platform's remote provisions to augment the current local only storage back-end based on rocksdb.</p>

Mentors: Student: Furqan Munir

<p>A cloud computing is a set of huge networks and computing nodes, where enormous amount of data flow takes place. An efficient performance is needed along with security to access and store data. In order to meet the availability and confidentiality properties with performance, is the backbone of any computing system and is the basic expectation of a vendor from its providers in Cloud computing environment.</p>

Mentors: Student: Naveen Jain

<p>Currently, there exists no software solution for checking whether a service mesh implements Service Mesh Interface or not.</p> <p>This causes the following problems:-</p> <ul> <li>For Service mesh maintainers, maintainers need to check whether the service mesh they are creating conforms to service mesh interface</li> <li>Users using service mesh don't know whether a feature is supported or not by the particular mesh they are using.</li> </ul> <p>In this project, aim is to:</p> <ul> <li>Build meshery as the underlying technology to support SMI Certification</li> <li>Generate a compatibility matrix identifying the SMI features that are supported per service mesh.</li> <li>Decide the definition of what behavior is expected and conforms to spec. vs not. Partial conformance could be defined by a minimum requirement. It may be that partial conformance allows for / encourages extensibility</li> </ul>

Mentors: Student: Somtochi Onyekwere

<p>Cluster Addons are resources that are considered inherently part of the Kubernetes cluster as they help extend the functionality of the cluster. Over time different addons have surfaced with increasing complexity while the tools for managing these addons have not progressed as much. The aim of this proposal is to build and package operators for different popular addons that are easy to use and follow best practices in various clusters.</p>

Mentors: Student: Anuj Sharma

<p>The Kubernetes Multi-Tenancy Working Group is chartered with exploring and defining multi-tenancy models for Kubernetes. The Multi Tenancy Benchmarks effort focuses on measuring and validating the desired behaviors for multitenancy. Part of this effort is to automate behavioral and configuration checks on existing clusters, which will be the focus of this project. This automated test suite will help all Kubernetes users validate whether their clusters are set up correctly for multi-tenancy.</p>