Solving Network File System Scaling Issues
It’s no secret the data science community has been addressing the reproducibility problem for some time now.
Data scientists are searching for better tools to manage their work environments, as extensive machine learning models begin to be deployed in the real world.
Ultimately, academia followed what commercial people were doing – building cloud platforms.
Many among us imagined some platforms would not solve their problem. Rather, it would only introduce even bigger problems and introduce complexity to existing legacy data science code.
Consequently, several startups have begun to emerge to try and solve the problem of cloud-based file systems and platforms.
There are some orchestration platforms thought of as a way to reproduce data science by containerizing the environment to run anywhere quickly. All without worrying how the operating system or environment is being managed.
Although this type of platform is beneficial in some areas, it does make workflow inflexible in the context of data science. It doesn’t allow users to work in a convenient and easy to understand workflow.
Painful things like understanding how new platforms work, debugging running code, interacting with GPUs, file transfers, environment configuration, and deployments take as much as 60 to 80 percent of a developer’s time. Even if it’s elastic, it needs to be easier to use for a data scientist or developer.
But now there’s an answer.
A new platform currently available on the market, CASFS+, has emerged and successfully solves the problem of data science workflow issues with a file sharing service and secure cloud storage.
The CASFS+ Platform and Cloud Storage Solution
CASFS+ focuses on existing architecture, solving the problems associated with the containerized environments and the inherited large/elastic file issues.
Even more promising, they do this without changing workflows from writing to running or changing the existing workflow process setup by many companies.
Rather than forcing you to work with a solution, the CASFS+ platform gives data scientists the freedom to focus on writing code.
The CASFS+ approach can be summed up in its mantra: “Making the full power of the cloud as easy to use as your private data center.”
Most competitors have a similar approach of setting up a substantial data storage service. They typically use an SQL-like interface to a distributed model.
But with CASFS+, data scientists work on their servers with their tool of choice.
This includes GIT, Python’s Pandas, NumPy, Matplotlib, and Jupyterlab. It also includes other tools like VS-Code for writing and GIT/SVN for versioning, while running on the platform’s network file system.
From there, you can run your code in a cluster environment using SGE or Ray.
And because the entire process uses live servers instead of containers, access to the running process for debugging is accessible via SSH.
CASFS+ is the secure cloud storage platform to handle centralization of workflows and simplify interactions.
You can sync your work and datasets directly from your local PC to CASFS+. Think of it as a “lift and shift” of all your data.
You run your application in the cloud and can sync your work back to the other machine once you’re finished. Even while doing all this, CASFS+ lets you continue working without any change in workflow.
Why Choose CASFS+?
The problem with any platform, including the newer platforms that need scaling, is pretty much the same.
They want to compel people to use their platform.
That is precisely the reason most users are currently looking for a system that won’t force them to change their platform. And now users can have it.
CASFS+ stands by that promise and is available on the market now along with a number of incredible features.
Innovation in the Cloud
CASFS+ promises several innovative features to the cloud file system platform.
Some features include deduplication of files, file usage per user stats, Prometheus stats availability, near instant availability of files once uploaded into the file object storage back end, and cost control.
The deduplication feature is highly valued and it’s not difficult to appreciate why.
Redundant data consume tons of space, and immense datasets often have a considerable amount of duplication.
The CASFS+ platform supports storage space administrators with the deduplication feature to help them reduce costs associated with duplicated data.
There are also issues relating to the cloud scaling network file system. There are significant scalability issues and remain to be a problem.
Many competitors struggle with the inability of the back end to scale at the same speed users pour into the applications.
CASFS+ has solved the cloud scaling network file system issues with performance and scaling.
“The cloud tools available from CASFS+ make the full power of the cloud as easy to use as your private data center.”
Using the idea of “Lift and Shift,” CASFS+ cloud tools are quick to set up and you can begin running your jobs without wasting days or weeks setting up the cloud.
The plug and play feature lets you simply run your existing on-premise code in the cloud. You won’t require any change while accessing all the power and benefits of the cloud.
The High-Performance Posix File System of CASFS+ is capable of spanning hundreds of machines.
It can manage billions of files and thousands of petabytes of data while delivering the full aggregate bandwidth of managed object stores.
The API access lets you leverage all the powers of CASFS+ cloud tools and program them. It gives you the power and control over the environment of your cloud computing.
In addition to AWS, your environment provides the security features.
The team management tools offered by CASFS+ help you control, access, and budget your project.
One security feature allows for each budget to be managed by the team leader or administrator. With this feature, each user will be limited to the amount of money they can use each month for their cluster. If they are over 100% of their budget, a user will not be able to create new servers.
In addition to budget control, users will be restricted from root-level access to the underlying S3 bucket or file system.
All of these capabilities you earn empowers you to manage the way your team can leverage the public cloud.
Getting started is easy using VScode, Jupyter, or anything else. All you need is a browser.
All the CASFS+ features come at a competitive rate.
When going to host CASFS+, you can go to the AWS Marketplace to start the setup process. It should be noted there are no additional charges from CASFS+ to run the main server, however, customers will require an AWS server and AWS fees will apply.
The CASFS+ fee is set up per connection at a rate of $0.30 per hour. Standard email support is included with this rate.
They also offer premium support options. For additional information on these options or to try out CASFS+, you can contact their team directly.