About the Image:

Now you can enjoy the quick and hassle-free configuration of your workspaces with Kockpit’s pre-configured images. Spark Executor with Hadoop is a virtual machine image (VMI) created for Red Hat (OS) that allows you to set up your machines within minutes.

For you, we have packed Spark and Hadoop in an image offering, enabling easy setup and configuration. With the help of an integrated form in KockpitShell.sh located in the /usr/local directory, you can connect to your Spark and Hadoop UIs without any need to develop scripts; you may create your standalone server just by filling out the form.

The distribution of Hadoop and Spark is based on Linux and is provided by Kockpit Analytics Pvt.Ltd. Hadoop and Spark Image is designed for Production Environments on Azure.

Benefits of using Spark Executor with Hadoop VMI

Low code strategy: Set your workspace without typing a single line of code. Enjoy a fast and easy setup process to optimize performance.

Simple to use: While manual setup can be complex and time-consuming, VMI, like Spark standalone with Hadoop, can be implemented with just a few simple steps.

Require less time: Traditional setup process requires configuring different paths, modifying numerous settings, and writing complex code. With Kockpit images, on the other hand, you can do it in just minutes.

Complexity: Kockpit follows a low code approach, making it less complex to use images for spark standalone with Hadoop.

Why use Kockpit Apps?

Being a prominent name in the market, Kockpit ensures a level of standard in its products. Similarly, Images offered by Kockpit Analytics are always up-to-date, secure, and built to work right out of the box.

Kockpit application packages adhere to quality industry standards to provide reliable and top-of-the-line solutions. We continuously monitor all components and libraries for vulnerabilities and application updates. When any security threat or update is identified, Kockpit automatically repackages the applications and pushes the latest versions to the cloud marketplaces.

How to Use the Image:

To use the image, click on the “Get it now” button located beneath the Kockpit logo.

Fill out the necessary details, and then you will be redirected to the Azure portal.

Then, click on the create button to create your virtual machine.

Fill out the details such as VM Name, region, username, and password, and click on review + create.

And that’s it! Your VM is now created. To know how to deploy Hadoop and Spark in Standalone Mode, refer to our Documentation located in the Usage Information + Support section.

VM Configuration:

· This VM contains an up-to-date version of Hadoop 3.2 and Spark 3.1.

Disclaimer: Kockpit does not offer commercial licenses for any of the products mentioned above. The products come with open-source licenses.

Default ports:

SSH: 22

Hadoop: 9870

Spark: 8080

Spark Executor with Hadoop for RHEL 8.6 (Red Hat)Kockpit Analytics Pvt. Ltd

Spark Executor with Hadoop for RHEL 8.6 (Red Hat)

Kockpit Analytics Pvt. Ltd

Spark Executor with Hadoop for RHEL 8.6 (Red Hat)

Kockpit Analytics Pvt. Ltd

Spark Executor with Hadoop for RHEL 8.6 (Red Hat)
Kockpit Analytics Pvt. Ltd