MinIO on Windows: A Guide to High-Performance Object Storage | by Pulkit Agarwal | Feb, 2025

In at the moment’s data-driven world, enterprises want scalable, high-performance, and cost-effective storage options. Cloud-based object storage like AWS S3 has turn out to be the trade commonplace, however what when you want a self-hosted, S3-compatible various on Home windows? Enter MinIO — a light-weight, high-speed object storage system that’s quickly reworking the way in which we deal with unstructured information.

What’s MinIO?

MinIO is an open-source, distributed object storage resolution designed for high-performance purposes. It’s absolutely suitable with Amazon S3 APIs, making it a most well-liked selection for organizations searching for an on-premises or hybrid-cloud storage various.

Key Options:

1. Blazing Quick Efficiency — Optimized for large-scale analytics and AI/ML workloads.
2. S3 API Compatibility — Seamless integration with cloud-native purposes.
3. Enterprise-Grade Safety — Helps encryption, IAM insurance policies, and entry management.
4. Scalability — Could be deployed in a single node or distributed mode.
5. Multi-Cloud Help — Works throughout AWS, Azure, Google Cloud, and personal clouds.

Putting in MinIO on Home windows

Organising MinIO on Home windows is simple. Observe these steps:

Step 1: Obtain MinIO

Step 2: Run MinIO Server

• Open a Command Immediate (cmd) or PowerShell and navigate to the extracted MinIO folder.
• Begin the MinIO server with the next command:

minio.exe server C:MinIO

This may begin MinIO utilizing the listing C:MinIO-Knowledge for storage.

Step 3: Entry MinIO Internet Interface

• Open a browser and go to http://127.0.0.1:9000
• Login utilizing the default credentials:
• Username: minioadmin
• Password: minioadmin

As soon as login, change the username and password utilizing cmd.

MinIO Python Integration: Importing Information Programmatically

Now that MinIO is working, let’s use Python to work together with it programmatically. Under is an easy Python script to add a file to MinIO utilizing the MinIO SDK.

Conditions

Set up the required dependencies:

• pip set up minio python-dotenv

Arrange a .env file in your working listing to retailer MinIO credentials:

• MINIO_ACCESS_KEY=************** MINIO_SECRET_KEY=*****************

import os
from dotenv import load_dotenv
from minio import Minio
from minio.error import S3Error

load_dotenv()# Load setting variables
access_key = os.getenv("MINIO_ACCESS_KEY")
secret_key = os.getenv("MINIO_SECRET_KEY")def primary():
consumer = Minio(
"127.0.0.1:9000",  # Regulate the IP and port if MinIO is working remotely
access_key=access_key,
secret_key=secret_key,
safe=False  # Set to False for native HTTP connection, True for HTTPS
)    # The file to add
source_file = "steps.txt"
# The vacation spot bucket and filename on the MinIO server
bucket_name = "python-test-bucket"
destination_file = "my-test-file.txt"
# Make the bucket if it would not exist.
discovered = consumer.bucket_exists(bucket_name)
if not discovered:
consumer.make_bucket(bucket_name)
print("Created bucket", bucket_name)
else:
print("Bucket", bucket_name, "already exists")    # Add the file
consumer.fput_object(
bucket_name, destination_file, source_file,
)
print(
source_file, "efficiently uploaded as object",
destination_file, "to bucket", bucket_name,
)if __name__ == "__main__":
attempt:
primary()
besides S3Error as exc:
print("Error occurred.", exc)

• Masses setting variables from a .env file.
• Connects to a native MinIO occasion working on 127.0.0.1:9000.
• Checks if the bucket exists, creates it if vital.
• Uploads a file (steps.txt) to MinIO.

Try my GitHub repo: https://github.com/pulkitagar25/Data-Engineering/blob/main/Minio/app.py

MinIO for AI & Machine Studying

MinIO is extensively utilized in AI/ML workflows because of its high-speed entry and scalability.

• Knowledge Storage for ML Pipelines — Shops datasets for coaching and inference.
• Mannequin Storage & Versioning — Saves skilled fashions securely.
• Large Knowledge Analytics — Works with Apache Spark, Presto, and Hadoop.
• Streaming & Video Processing — Handles massive video datasets effectively.

Conclusion: Is MinIO Proper for You?

For those who want an S3-compatible, high-performance object storage system that gives full management, MinIO is the right selection. Whether or not you’re working AI/ML workloads, huge information analytics, or multi-cloud purposes, MinIO delivers pace, scalability, and enterprise-grade safety.

Interview Questions on MinIO

1. What’s MinIO and the way does it examine to AWS S3?
2. How does MinIO guarantee information safety and integrity?
3. Clarify MinIO’s erasure coding and the way it works.
4. What are the deployment modes of MinIO?
5. How does MinIO deal with replication and catastrophe restoration?
6. Can MinIO be built-in with Kubernetes? If sure, how?
7. What are some widespread use circumstances for MinIO in AI/ML purposes?
8. How would you configure person entry insurance policies in MinIO?