networkservicemesh / sdk-ovs Goto Github PK
View Code? Open in Web Editor NEWOVS related SDK components
License: Apache License 2.0
OVS related SDK components
License: Apache License 2.0
As per feedback given here, make all of sdk-ovs
and its dependent relevant sdk-sriov
and sdk-kernel
server chain elements to follow this guideline: add information/make decisions' on the call side of the Request and 'do work' on the return side
Currently most of the server chain elements follows the below pattern for doing its work: do_its_work -> return_if_work_fails -> next.Request -> cleanup_its_work_done_previously_when_next_request_fails -> return
We can simplify the forwarder server using the Functional Options Pattern, just as it has been implemented in the sdk.
After forwarder stopped any interface created and no longer used should be deleted
The following interfaces remains in the host after forwarder stopped (graceful termination) even after NSM system removal (kubernetes namespace delete): ovs-system and nsm-br - the main bridge interface used by NSM.
The NSM's main bridge should be deleted when forwarder-ovs is stopped, but to delete the ovs-system is risky. In the case of host-ovs this might be used by others. When the OVS is running inside forwarder pod in case of pod termination the ovs is stopped forcefully without the chance to delete the system bridge.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.