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How do you even budget cloud expenses?

This cost comparison between cloud providers is not easy to make. At Nerdalize, we find it important to help our customers make the right consideration between different providers and instance types.

To make this decision easier for you, we have created a benchmark tool. This tool will give you an overview of the runtime and price/performance for different cloud providers, which makes it possible for you to choose the most suitable cloud provider for your compute job.


Do you want to use the cloud, but you do not know where to start?

Currently, there are a lot of cloud providers with different instances, prices and additional services. There are variable and fixed factors that could influence your choice of cloud provider. Some of these variable factors are price, performance and runtime.

Benchmark badges

The performance of a server is influenced by several factors, which include the number and type of CPUs, storage and RAM. Each compute job has a different specification and thereby needs a different configuration. Some compute jobs might need a lot of RAM, where other jobs are more CPU intensive. Additionally, not all compute jobs necessarily perform better on more CPUs. Therefore it is important to choose an instance that matches the specifications of your job. By choosing the right infrastructure for your job, it is possible to increase the performance and thereby decrease the runtime in order to lower your costs.

Benchmark Report: Plan your own project now!

At Nerdalize we developed a benchmarking tool that runs a small sample of your compute project with a specific software program and sample dataset on different instances at different cloud providers. Comparing the performance of this sample job at different providers enables us to give you an overview of the price/performance per cloud provider for your specific project.

Cost per job
providers/awsproviders/azureproviders/gceproviders/nerdalize

As a result, you get a report with the runtime and price per instance for your sample job. Whether you are looking for the fastest machine or the best price/performance, this overview enables you to choose the right instance and provider for your project. The benchmark report makes it possible to compare the performance and costs of your compute job on multiple cloud providers, such as the Google Compute Engine, AWS, Azure and Nerdalize.

The benchmark report shows you the variables runtime and cost per job, so you can choose the optimal instance for you. Move the slider between runtime and costs and select the optimal instance for you, just like Erik did:

This is really wonderful! First, the Nerdalize Benchmark tool is really clear and well designed… fun to play with. Second, the results are super promising.

Erik Schultes

The benchmark report does not only help you to compare several cloud providers, it is also a great tool to help you forecast the total runtime and cost of your specific project. This helps you plan the total runtime and budget of your compute project and communicate it to your customers or colleagues.

It is important to carefully think about your choice in cloud provider and take into account all the factors. Are you not sure which cloud provider and what factors suit your compute job? Get a benchmark report or get in touch! And find out which cloud provider is the most suitable for your project.

Cloud made easy for hydro engineers

Last week Nerdalize got the opportunity to present our cloud platform to Deltares users. Twice a year, Deltares organizes the Deltares Software Days, an event to meet up with users of Deltares software and talk about the latest developments and trends in the field of hydrology. For the past 3 DSDs we were invited to present our cloud platform. These are always very interesting moments to learn more about our users and their cloud needs!

Together with users of Deltares software we developed our platform in a way that makes it very easy for engineers to run their hydro simulations on our cloud resources. Like in other industry segments, you can see an increasing need for computing power in hydro engineering. With needs for higher resolutions and bigger simulations, projects often demand more computing power than an internal cluster can offer in order to meet deadlines.

In close collaboration with hydro engineers we developed a platform:
  • that decreases the time needed to run hydro models in the cloud
  • that offers computing power with the best price performance
  • without vendor lock-in at a specific cloud provider

Deltares User Research
Using Deltares software in the cloud

This DSD we showed users our new Command Line Interface. We developed a workflow for hydro engineers in order to use Deltares software on our cloud resources without needing support from the IT department. This enables hydro engineers to scale up to the cloud and lower the runtime of their projects without having to spend time and effort in setting up the environment. And use compute power of the most affordable cloud provider out there!