Hi Anshu

For quick scaling, we’ve had success with an approach of scaling up the
compute capacity (attached to EBS) rather than scaling out with more nodes
in order to provide relatively quick scale up/down capability. The approach
is implemented as part of our managed service but the concept is generic
enough to work in any virtualised environment. You can find more detail
here if interested:
https://www.instaclustr.com/instaclustr-dynamic-resizing-for-apache-cassandra/

Cheers
Ben

On Sat, 18 Nov 2017 at 05:02 Anshu Vajpayee <anshu.vajpa...@gmail.com>
wrote:

> Cassandra supports elastic scalability  - meaning on demand we can
> increase or decrease #of nodes as per scaling demand from the application.
>
> Let's consider we have 5 node cluster and each node has data pressure of
> about 3 TB.
>
> Now as per sudden load, we want to add 1 node in the cluster  as quick as
> possible.
>
> Please suggest what would be the fastest method to add the new node on
> cluster? Normal bootstrapping will definitely take time because it needs to
> stream at least 2.5 TB ( 5*3TB/6 nodes) from 5 nodes.  Please
> consider multi-core machines & 10 Gpbs card .
>
> Streaming throughput can help but not much.
>
> The similar requirement can come when we want to replace the failed node
> due to any hardware.
>
> Please suggest any best practice or scenarios to deal with above
> situations.
>
> Scaling is good but how quickly we can scale is another thing to consider.
>
>
>
>
>
>
>
>
> --
> *C*heers,*
> *Anshu V*
>
>
> --


*Ben Slater*

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