7
6/18/22 How-To: Compare Cloud Infrastructure Options for Running NoSQL Workloads © 2014 GoGrid

How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

Embed Size (px)

DESCRIPTION

Learn how can you map the options for running Big Data across clouds in just 4 simple steps.

Citation preview

Page 1: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

April 12, 2023

How-To: Compare Cloud Infrastructure Options for RunningNoSQL Workloads

© 2014 GoGrid

Page 2: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

2 Confidential2

How can you map the options for running Big Data across clouds? Just follow these 4 steps:

Step 1: Decide What Access You Need For a specific workload, NoSQL customers may want to have the following:

1. Access to mass storage servers for files and objects (not to be confused with block storage).

2. Access to High RAM options for running in-memory with the fastest possible response times.

3. Access to high-performance SSDs to run balanced workloads. 4. Access to general-purpose instances for dev and test or for workloads

that don’t have specific performance SLAs.

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid

Page 3: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

3 Confidential3

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid

Step 2: Compare Compute Instance Footprints The graphic below illustrates the options currently available. It relates the

maximum amount of RAM that can be provisioned on a single virtual machine to the maximum number of cores and the total number of compute instance options available by some of the major infrastructure providers, including Amazon Web Services (AWS), GoGrid, Google (GCE), Microsoft (Azure), and SoftLayer.

Page 4: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

4 Confidential4

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid

The data that generated this chart was collected from the providers’ websites. Below are the details.

Page 5: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

5 Confidential5

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid

Step 3: Answer 3 Key Questions This data helps you answer 3 key questions:

1. Which cloud providers offer an on-demand high memory instance?AWS and GoGrid offer the largest amount of RAM available on-demand.

2. How many cloud providers offer on-demand mass storage server options?Of the five providers included, only two offer on-demand mass storage options: AWS and GoGrid.

3. Which providers can I go to for general workloads?You can run a general workload on any of the providers, and this is where the Compute Instance Footprint becomes important.

Page 6: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

6 Confidential6

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid

Step 4: Compare Solutions Once you’ve determined the instance options that best meet the needs of

your particular NoSQL workload, the next step is to do a “bake-off” between two or more solutions.

At GoGrid we’ve made this process as easy as pushing a button. Check out our solutions page for details on a 1-Button Deploy™ of Cassandra, Hadoop, HBase, and others. Then you can trial a full cluster for 14 days for free and have it up and running in less than 10 minutes.

Page 7: How-To Compare Cloud Infrastructure Options for Running NoSQL Workloads

7 Confidential7

Conclusion Beyond trialing a cluster and understanding the instance options for

running NoSQL workloads, price and ease of use always come into play when choosing a cloud provider.

Learn More This “how-to” is based on a blog post by Kole Hicks, Senior Director of

Product Management at GoGrid:http://blog.gogrid.com/2014/04/11/comparing-cloud-infrastructure-options-running-nosql-workloads/

Comparing Cloud Infrastructure Options for NoSQL

© 2014 GoGrid