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  2. Vertical scaling is typically costly. It does not make the system fault tolerant, i.e if you are scaling application running with single server, if that server goes down, your system will go down. Also the amount of threads remains the same in vertical scaling. Vertical scaling may require your system to go down for a moment when process takes ...

  3. I understood that Horizontal scaling means increasing numbers of nodes or pods. Vertical scaling means raising the resources (like CPU or memory) of each node or pods in the cluster. Can we say HPA...

  4. Basically always choose an environment that supports horizontal scaling. But use vertical scaling for satisfying the need of benchmarked base load or a regular load. For any further varying increase or decrease in the load use horizontal scaling so that you can either increase or decrease the resources according to the need.

  5. Vertical Scaling of data (synonymous to Normalisation in SQL databases) is referred as splitting data column wise into multiple tables in order to reduce space redundancy. Example of user table - Horizontal Scaling of data (synonymous to sharding) is referred as splitting row wise into multiple tables in order to reduce time taken to fetch data ...

  6. Horizontal, vertical scaling is different concept compare to these strategies. Horizontal partitioning : It splits given table/collection into multiple tables/collections based on some key information which can help in getting right table as horizontal partitioning will have multiple tables on different nodes/machines. eg: region wise users ...

  7. What are the pros and cons of scaling vertically vs horizontally with Kafka? e.g for 50TB, having 5 brokers handling 10TB each, or 5000 brokers handling 10GB each. Those numbers are made up. ps: Maintaining 5 or 5000 servers for us has the same operational cost as it's all automated.

  8. In this case there is no interaction involved between different micro-services on different server although horizontal scaling is there. (5 machines are supporting this service). So in this case horizontal scaling is there but it can't be called distributed system. In vertical scaling all the components are running on single machine only.

  9. SO: Difference between scaling horizontally and vertically for databases Wikipedia: Horizontal and vertical scaling / Database scalability PS The relational model is about structuring data by a table for each relationship. It says nothing about implementation.

  10. A Standard 2x dyno on Heroku allows for 1GB. Upgrading from a 1x dyno to a 2x dyno is referred to as vertical scaling, while adding more 1x dynos instead is referred to as horizontal scaling. I believe horizontal scaling allows my app to service more http requests, but I'm not so sure what vertical scaling does.

  11. When we want to horizontally scale a kafka cluster, we can do so by adding more kafka brokers. I I have been trying to understand, how does one decide "now is the time to add a broker to a kafka