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Monte Carlo Data is an observability and reliability start-to-finish tool for your data stack that screens and cautions for issues across your information distribution centers, data lakes, and analytics. It utilizes AI to induce and get familiar with your data, proactively recognize data issues, survey its effect, and advise the individuals who need to be notified. With the Monte Carlo CLI, users can now integrate and configure the Monte Carlo Data engine from their local machine and can manage a data collector as well. This tool helps to diminish the cost incurred due to data downtime.

Following can benefit from Monte Carlo Data:

• Many companies use Monte Carlo Data as part of their data architecture
• Businesses that rely heavily on data and insights and can't afford abnormalities
• Data Engineers
• DevOps
• Team of Developers

General services of this offer include:

• A CLI configured with latest Monte Carlo version
• Ability to manage a data collector accessible to data warehouses and data lakes
• Strong integration methodology

This offer is packaged with Pycarlo which is a Python SDK to access all Monte Carlo APIs from the python IDE configured with Python 3.8 which is installed as well.

Monte Carlo throughput improves with more CPU cores, more RAM, and faster disks

• Minimum memory: 8GB RAM
• Minimum vCPU: 2 vCPUs
• Operating System: Ubuntu 20.04

You must have a Monte Carlo Data account in place. You can create a new account from: https://getmontecarlo.com/signup . You would also need an AWS account to configure the data collector and run the Monte Carlo engine.

• Type montecarlo --help to check the available commands and options
• Type montecarlo configure to connect your CLI to Monte Carlo. The API Key and Secret Key can be obtained from Monte Carlo's onboarding wizard after selecting Data Lake option
• After connecting, type montecarlo validate to verify the configuration