spokes | A Catalogue Of Spoke Patterns | Architecture library

Using a r'' raw string flag makes \n and \t, a literal \ and n/t respectively and not a new line or a tab character. This explains why you were able to copy the "displayed" logs to a variable and execute it successfully.

Don't use r flag.

The calculation of the angle is a bit tricky. You need to calculate the center of each slice, which is the cumulative sum of frequencies minus half the width. Then rescale to 360 degrees (divide by the max and multiple by 360), and finally add 90 degrees to have the text going outwards (instead of perpendicular).

Ideally one could do this using the label positions calculated internally by position_stack, but I couldn't figure out how to use after_stat or after_scale to get that to work.

For your requirements, here is the architecture that you can follow. The Hub and the spoke are connected via the VNet Peering. According to the description:

The virtual networks can be in the same, or different subscriptions. When you peer virtual networks in different subscriptions, both subscriptions can be associated to the same or different Azure Active Directory tenant.

So you can peer VNets in two different subscriptions. I assume you use the Azure CLI as the authentication your account already login and has enough permission in both two subscriptions. Here is an example code:

You can't do what you're trying to do since Javascript shouldn't be included in, and isn't understood or processed inside a SVG file.

Vnodes break up the available range of tokens into smaller ranges, defined by the num_tokens setting in the cassandra.yaml file. The vnode ranges are randomly distributed across the cluster and are generally non-contiguous. If we use a large number for num_tokens to break up the token ranges, the random distribution means it is less likely that we will have hot spots.Using statistical computation, the point where all clusters of any size always had a good token range balance was when 256 vnodes were used. Hence, the num_tokens default value of 256 was the recommended by the community to prevent hot spots in a cluster.

Ans 1:- It is a range of tokens based on num_tokens. if you have set 256 the you will get 256 token ranges which is default.

Ans 2:- Yes, when you are adding or removing the nodes the tokens will distribute again in the cluster based on vnodes configurations.

you may refer for more details are here https://docs.datastax.com/en/ddac/doc/datastax_enterprise/dbArch/archDataDistributeVnodesUsing.html

Q2: Is there any native service/virtual appliance(Firewall) or feature available to route traffic between spokes without spoke to spoke peering?

No, the VPC peering is not transitive in nature. This means that VPC A peered with VPC B, VPC A peered with VPC C would mean that VPC B cannot see or send ICMP traffic to VPC C.

Q3: Cross account access – Is it possible to have cross-account access

Yes, as long as there is a peering is established between all communicating accounts

Q4: Do we use Subnet to create zones in GCP, refer diagram above

Availability zones in AWS and Zones in GCP are comparable. Subnet's are further slicing down the VPC to create dedicated areas for inbound/outbound traffic management and resources placements

Q5: Is there randomization of the zones in GCP as in AWS (Zone a in one account would be Zone b in another)

Yes the zones are randomized in GCP and do not represent fixed or known locations all the times.

You can't send json-data the way you have shown and achieve what you want. To do this you have can follow any one mentioned below:

1. read your json file, deserialize to a POJO and then send deserialized data from a separate controller-endpoint. Make sure you call your ajax method from client end on document ready state.
2. read your json file, deserialize to a POJO and then send with modelAttribute as you have done i.e model.addAttribute("jsonData", deseriazedData); and read from controller side by JS like: var yourJsonData=${jsonData}, parse to jsonData with JSON.parse(yourJsonData) and then use that for your chart.

But make sure, all events like page loading then generating chart from this data are happening one after another in desired order. P.S.: search read json file and map to pojo if you find difficulties. If you are unsure or need more help, then state your json file data structure and your specific problem. I will try to help

Here is a pseudo code for your problem :

For provided frames, it's impossible to track a single spoke, because all spokes have identical shape and color. The practical way to track one is by physically marking the spoke. Then, as long as your camera has movement, you need image registration to align frames. It's not difficult to track the spoke afterward.

Edit: The physical mark can be a colored spot on the spoke (for simplicity, use a color that is unique in the image). Then use thresholding technique to single out the color. You may need some enhancement to remove noises then.