killrvideo / killrvideo.github.io Goto Github PK

Create a pure java version of KillrVideo that does not use Achilles code generation

Another possible IDE to provide instructions for (built on Atom): https://nuclide.io/

Get a list of new 5.1 changes and use that to create more lists of actual updates.

Provide references for each of our currently supported languages (Node.js, java, C#)

Most likely will generate new cards for each item

We're pretty inconsistent about casing across docs when referencing gRPC. We should fix that.

We have a lot of repos in the organization, some of which have dependencies on each other. Let's document what is what in here and how they depend on each other. Bonus points for a pretty chart showing dependencies.

Add guidelines for implementing pub-sub messaging (i.e. events for service collaboration) to implementer's cheatsheet. All events defined in Protobufs should be published, but should include which events need to be handled by the implementations to provide the required functionality (i.e. update search index when a video is added, etc.)

We've got a collapsible UI that shows an icon for a menu on mobile, but it's just CSS and doesn't actually work right now. Let's make it work.

How the web tier works and registering your services on startup with etcd so the web tier can find them.

How the sample data generator app works and using logs to see what's going on.

We don't currently showcase any graph capabilities with KillrVideo.

Hook up the API for real-time updates
Create some meaningful 360 like model to demonstrate capabilities outside of base analytics

Travis just made a change to read-only keys when cloning from GitHub. You can find details here:

https://blog.travis-ci.com/2017-11-01-security-advisory-ro-deploy-keys

I don't think this will impact us here because it looks like we're using a separate encrypted deploy key for pushing to Git, but you probably want to double-check. And if things do start breaking, I wanted to give you heads-up on one possible cause.

Continue the work that DuyHai started and ensure we have ongoing support.

Admittedly, this one is a little vague and most likely needs to be broken down into smaller pieces.

Add guidelines for implementing the Grpc services to implementer's cheat sheet.

Would be nice if they doc indexes followed you as you scrolled instead of staying at the top of the documentation pages.

How to use etcd to find and then connect to the DSE node running in Docker.

Add Getting Started instructions for Java w/ Achilles implementation. Should also update the general Getting Started docs to link to those directions.

This is tied to #16

Provide references to demonstrate Spark functionality

KillrVideo currently works completely within Docker including its own DSE container. Reconfigure KillrVideo to connect to an external cluster(s) and make any changes easy to switch between.

Note: Gilardi is mostly done with this and plans to blog on completion

This is tied to both
#16
and
#17

The goal here is to combine the power of search, graph, and analytics and provide references that devs can use to implement all 3

After the recent updates, we have to fix the docs:

• no etcd
• no loopback
• all-in-one
• k8s
• CI builds for backends

Now that Docker for Windows/Mac is out of beta, update the general Getting Started documentation to reflect any new suggestions for running locally.

When microservices start up, they need to tell everyone else that they're running and where they're running.