leverage | Modularize your application | Runtime Evironment library

You can do this efficiently with a dictionary:

Here are some techniques.

Yes.

If your topic has 1 partition means it is in one broker. So, If you increase producer rate for the topic, then that broker becomes busy. But if you have multiple partitions, your Kafka cluster shared those partitions into different brokers and those production rate shared within multiple brokers. So, Writing the same dataset in one topic with 4 partitions is more fast than writing in a topic with 1 partition.

This not only production rate. In Kafka brokers, There is multiple processes like compactions, compressions, segmentations etc... So with number of messages, that work load becomes high. But with multiple partitions in multiple brokers, it will be distributed.

However, you don’t necessarily want to use more partitions than needed because increasing partition count simultaneously increases the number of open server files and leads to increased replication latency.

from kafka documentation

Distribution The partitions of the log are distributed over the servers in the Kafka cluster with each server handling data and requests for a share of the partitions. Each partition is replicated across a configurable number of servers for fault tolerance. Each partition has one server which acts as the "leader" and zero or more servers which act as "followers". The leader handles all read and write requests for the partition while the followers passively replicate the leader. If the leader fails, one of the followers will automatically become the new leader. Each server acts as a leader for some of its partitions and a follower for others so load is well balanced within the cluster.

The problem is you are passing respons.body["data"]["data"] to your Datum.fromJson() constructor but there is no such key in the json. on the other hand you are passing response.body["data"] to Car.fromJson() constructor which is a list of data that does not have "status" key in it.

Try changing your code as follows.

A possible and promising approach is to generate the Pydantic model starting from the corresponding JSON Schema of the STIX object.

Luckily enough the JSON schemas for all the STIX 2 objects have been defined by the OASIS Open organization on the GitHub repository CTI-STIX2-JSON-Schemas.

In particular, the JSON Schema for the Attack-Pattern is available here.

Your to for the menu item should probably be an absolute path (start with a slash):

For a specific solution to your immediate problem, you need to modify the condition in selected= to include the case that you want, something like || (item === 'Pool' && location.pathname === '/') or similar. You may have to fiddle with it.

As a broader answer, consider using react-router's built-in NavLink component. They already have an isActive prop specifically for dealing with complex cases like this. No sense reinventing the wheel.

Check the below links which answers for your query

https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-vnet-gateway

https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-network-faq

Data source connections:

Question - I have a VNET for my data source system. How can I allow my Analysis Services servers to access the database from the VNET?

Answer - Azure Analysis Services is unable to join a VNET. The best solution here is to install and configure an On-premises Data Gateway on the VNET, and then configure your Analysis Services servers with the AlwaysUseGateway server property. To learn more, see Use gateway for data sources on an Azure Virtual Network (VNet).

Inside the t function you can call that value dynamically with ${item} or [item] as {item} will not work. Hope this was helpful.