forward | forward - extended kubectl port | SSH Utils library

This is pretty straight forward but after much Googling and experimenting, I cannot find the answer. I will use this as an example and then I can apply it to other scripts I am writing. When I run this command

I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.

First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?

Usage

I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..

We can assume an average of 50k forms per gym

Options

• First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.

• Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.

• Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.

Is there another option? Which one of the three is better?

Edit: I'm assuming another option would be SimpleDB?

I have to do an exercise were I got h.264 video sender host, h.264 video receiver (with background traffic receiver) host, and a background traffic generator host. All of these three are on different ip subnet connected to P4 controller.

I have an attendance record with a date column (weekly) and an attendance column for that week.

I just want a bar chart or line graph to show the change over time.

I am trying to use my own train step in with Keras by creating a class that inherits from Model. It seems that the training works correctly but the evaluate function always returns 0 on the loss even if I send to it the train data, which have a big loss value during the training. I can't share my code but was able to reproduce using the example form the Keras api in https://keras.io/guides/customizing_what_happens_in_fit/ I changed the Dense layer to have 2 units instead of one, and made its activation to sigmoid.

The code:

I have an AWS ubuntu instance with the following network interfaces:

ens5, ip: 172.XX.XX.XX

A5TAP, ip:192.168.233.1 (VPN)

How do I udp port forward port 10000-10200 to 192.168.233.52:10000-10200? I tried a the obvious commands below for a single port 10009, but it is not working:

I made a Vector class. I was happy with it, it's kinda weird but it seemed to work at the start. But I just found out copying the vectors is impossible.

The reason is that to allow the number of coordinates to be a template, there is a templated variadic constructor which expects the right number of coordinates.

This is what it looks like, with the utility math methods removed:

A server environment requires an endpoint for /some/health.

I already configured actuator.

Rather changing the actuator's function, I'm thinking forwarding /some/health to the /actuator/health.

And I'm trying to do with HandlerFilterFunction.

I am trying to contribute to a Github Page/Jekyll site and want to be able to visualise changes locally but when I run bundle exec jekyll serve but I get this output: