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2. Difference between scaling horizontally and vertically for...

   stackoverflow.com/questions/11707879

   1434. Horizontal scaling means that you scale by adding more machines into your pool of resources whereas Vertical scaling means that you scale by adding more power (CPU, RAM) to an existing machine. An easy way to remember this is to think of a machine on a server rack, we add more machines across the horizontal direction and add more ...

3. Azure kubernetes - Horizontal scaling vs Vertical scaling

   stackoverflow.com/questions/64203408

   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 to be used when we have the large number of Small group of nodes? and VPA for large node groups? azure. kubernetes.

4. Database partitioning - Horizontal vs Vertical - Stack Overflow

   stackoverflow.com/questions/20388923

   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 ...

5. When to use vertical and horizontal scaling? - Stack Overflow

   stackoverflow.com/questions/69478300

   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. answered Oct 12, 2021 at 6:17. Anbusivam Subramanian.

6. architecture - What is the difference between horizontal scaling...

   stackoverflow.com/questions/61256131

   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.

7. Caveats of scaling a Kafka cluster vertically vs horizontally?

   stackoverflow.com/questions/31819374

   Caveats of scaling a Kafka cluster vertically vs horizontally? We are planning to build a multi TB Kafka Cluster. From LinkedIn presentations, which are supposed to handle the largest Kafka cluster in the world, it seems like they are using a few pretty large servers. We are planning to go the other way: Launch a lot of small Kafka brokers ...

8. Can relational database scale horizontally - Stack Overflow

   stackoverflow.com/questions/27157227

   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 ...

9. Heroku horizontal vs vertical scaling and 1x vs 2x dynos

   stackoverflow.com/questions/35517221

   A Standard 1x dyno on Heroku allows for 512MB of RAM. 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 ...

10. Vertical AND Horizontal scaling in databases - Stack Overflow

    stackoverflow.com/questions/34983979

    1. 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. If current RDBMSs do not scale in a direction then it is because the vendors have ...

11. Horizontal and vertical autoscaling with AWS ECS Fargate

    stackoverflow.com/questions/59628660

    Thus the increasing load can only be properly handled if it scales both horizontally (adding nodes) and vertically (increasing nodes memory). Horizontal auto-scaling is simple. AWS CDK provides nice high-level constructs for load-balanced Fargate tasks and makes it super easy to add more tasks to handle CPU load: service = aws_ecs_patterns ...