LFX Mentorship
Enable ONAP to deploy Kubernetes workloads
About the Organization
Increasingly, edge locations are becoming Kubernetes (K8s) based as K8s can support multiple deployment types (Virtual Network Functions, Containerized Network Functions, Virtual Machines and containers). ONAP4K8s is the project that enables ONAP to deploy workloads in K8s based sites. ONAP4K8s enables operators to use a K8s based sites to deploy workloads. In ONAP they can use this to deploy workloads on both Openstack based sites as well K8s based. It also enables usage of common compute resources for both network functions and applications, thereby utilizing compute infrastructure efficiently. ONAP4K8s is being extended to support deploying and connecting apps/services that span across multiple clusters. Major work items where intern can help are – 1. API enhancements 2. Improve code coverage 3. Adding support for application upgrades 4. Adding test cases for new use cases 5. Improving monitoring, tracing, logging of microservices
Primary Technologies & Languages
programming skillsscriptingsource control/gitedgecloudagilenetworkinglinuxvirtualizationcontainers
Technical Topics & Focus Areas
programming skillsscriptingsource control/gitedgecloudagilenetworkinglinuxvirtualizationcontainers
Participation Years
Completed Projects Distribution
Annual Completed Projects History
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2020
Projects1
Years Active1
Stackprogramming skills
TierTier 1
Past Projects
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Enable ONAP to deploy Kubernetes workloads Mentorship Project
IntermediateIncreasingly, edge locations are becoming Kubernetes (K8s) based as K8s can support multiple deployment types (Virtual Network Functions, Containerized Network Functions, Virtual Machines and containers). ONAP4K8s is the project that enables ONAP to deploy workloads in K8s based sites. ONAP4K8s enables operators to use a K8s based sites to deploy workloads. In ONAP they can use this to deploy workloads on both Openstack based sites as well K8s based. It also enables usage of common compute resources for both network functions and applications, thereby utilizing compute infrastructure efficiently. ONAP4K8s is being extended to support deploying and connecting apps/services that span across multiple clusters. Major work items where intern can help are – 1. API enhancements 2. Improve code coverage 3. Adding support for application upgrades 4. Adding test cases for new use cases 5. Improving monitoring, tracing, logging of microservices