Which droplet plan should I choose for geophysical time series-processing?

I am planning to use Python code for geophysical time series processing.My OS is Ubuntu 16.04 64-bit. My processor info lscpu Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 2 On-line CPU(s) list: 0,1 Thread(s) per core: 1 Core(s) per socket: 2 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 23 Model name: Pentium® Dual-Core CPU T4200 @ 2.00GHz Stepping: 10 CPU MHz: 2000.000 CPU max MHz: 2000.0000 CPU min MHz: 1200.0000 BogoMIPS: 3990.03 L1d cache: 32K L1i cache: 32K L2 cache: 1024K NUMA node0 CPU(s): 0,1

Which plan should I buy?

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Hello, all

Choosing the right Droplet plan depends on your workload. An oversized Droplet would underuse its resources and cost more, but an undersized Droplet running at full CPU or memory would suffer from degraded performance or errors.

In your case, you can start with a smaller droplet and then upgrade in the future if this is needed. I’ll recommend having at least 2GB of RAM.

You can also resize a Droplet to a larger plan after creation, including resizing to a larger Droplet plan of a different kind. For example, you can resize from a Basic Droplet plan to a larger CPU-Optimized Droplet plan. See the Droplet pricing page for a full list of plans and prices.

You can always check our tutorial on Choosing the Right Droplet Plan

Hope that this helps! Regards, Alex

The best way to determine your needs would be to do some testing with the code you will be running and at the volume you expect. You can start with a small droplet and resize as needed to upgrade until you reach a size that supports your workload.