MinIO Blog Posts by Keith Pijanowski

A collection of 52 posts from Keith Pijanowski

Mitigating Ransomware Attacks with Object Storage

Mitigating Ransomware Attacks with Object Storage

Ransomware attacks are nothing new. The first ransomware attack occurred 36 years ago in 1989, and it is known as the AIDS Trojan PC Cyborg Virus. Floppy disks infected with a Trojan virus were mailed to attendees of the World Health Organization’s AIDS conference and other individuals. The virus waited until the computer had been booted 90 times. Then

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MLOps Architecture Guide for AI Infrastructure

MLOps Architecture Guide for AI Infrastructure

MLOps, short for Machine Learning Operations, is a set of practices and tools aimed at addressing the specific needs of engineers building models and moving them into production. Some organizations start off with a few homegrown tools that version datasets after each experiment and checkpoint models after every epoch of training. On the other hand, many organizations have chosen to

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AI ML Architecture: Modern Datalake Reference Guide

AI ML Architecture: Modern Datalake Reference Guide

An abbreviated version of this post appeared on The New Stack on March 19th, 2024. In enterprise artificial intelligence, there are two main types of models: discriminative and generative. Discriminative models are used to classify or predict data, while generative models are used to create new data. Even though Generative AI has dominated the news of late, organizations are still

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NVIDIA GTC 2025 Wrap-up: 18 New Products to Watch

NVIDIA GTC 2025 Wrap-up: 18 New Products to Watch

This post first appeared on The New Stack on April 18th, 2025. Get a comprehensive summary of the major compute, networking, storage and partnership announcements from NVIDIA’s biggest event of the year. If you follow the tech news, you have read a lot about NVIDIA and its graphics processing units (GPUs). However, it would be incorrect to conclude that

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MLflow Model Registry and MinIO

MLflow Model Registry and MinIO

MLflow Model Registry allows you to manage models that are destined for a production environment. This post picks up where my last post on MLflow Tracking left off. In my Tracking post I showed how to log parameters, metrics, artifacts, and models. If you have not read it, then give it a read when you get a chance. In this

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Mitigating Geopolitical Concerns with a Sovereign Private Cloud

Mitigating Geopolitical Concerns with a Sovereign Private Cloud

2025 has inherited a slew of geopolitical concerns that started years ago. U.S. Foreign policy, U.S. - China Relations, China’s geopolitical maneuvers, Conflicts in the Middle East, Russian Ukraine war, and cybersecurity threats. Additionally, new leadership in the United States adds to the uncertainty created by these concerns. And, as if all this were not enough, the

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Model Checkpointing using Amazon’s S3 Connector for PyTorch and MinIO

Model Checkpointing using Amazon’s S3 Connector for PyTorch and MinIO

In November of 2023, Amazon announced the S3 Connector for PyTorch. The Amazon S3 Connector for PyTorch provides implementations of PyTorch's dataset primitives (Datasets and DataLoaders) that are purpose-built for S3 object storage. It supports map-style datasets for random data access patterns and iterable-style datasets for streaming sequential data access patterns.  The S3 Connector for PyTorch also includes

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The Innovations from AWS re:Invent

The Innovations from AWS re:Invent

Earlier this month, Amazon held their re:Invent conference in Las Vegas, Nevada, from December 1st to 5th - a 5-day event.  If you have never been to a re:Invent conference, then the word that describes it best is “huge” - not just in terms of the number of attendees (60,000) but also the breadth of topics covered.

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Iterable-Style Datasets using Amazon’s S3 Connector for PyTorch and MinIO

Iterable-Style Datasets using Amazon’s S3 Connector for PyTorch and MinIO

In November of 2023 Amazon announced the S3 Connector for PyTorch. The Amazon S3 Connector for PyTorch provides implementations of PyTorch's dataset primitives (Datasets and DataLoaders) that are purpose-built for S3 object storage. It supports map-style datasets for random data access patterns and iterable-style datasets for streaming sequential data access patterns.  In a previous post, I introduced the

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Revolutionizing Mobile Testing with Big Data and AI

Revolutionizing Mobile Testing with Big Data and AI

A mobile application is a company's brand available on demand. It is a window into any service or product an organization offers. At Kobiton, they understand this—it is their mission to improve mobile applications through testing.  Kobiton is a mobile testing platform that allows customers to perform manual and automated testing on real mobile devices from anywhere

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An Easier Path to Scalable AI: Intel Tiber Developer Cloud + MinIO Object Store

An Easier Path to Scalable AI: Intel Tiber Developer Cloud + MinIO Object Store

One of the biggest challenges facing organizations today for AI and data management is access to reliable infrastructure and compute resources. The Intel Tiber Developer Cloud is purpose-built for engineers who need an environment for proof-of-concepts, experimentation, model training, and service deployments. Unlike other clouds, which can be unapproachable and complex, the Intel Tiber Developer Cloud is simple and easy

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Replication, Data Consolidation, and Data Migration

Replication, Data Consolidation, and Data Migration

Parsec Labs is a company of engineers. Most have designed storage systems, been responsible for backups and replication, or worked in networking building switches. Founded in 2013, their Unified Data Mobility and Protection Appliance provides the most straightforward tools for migrating, replicating, and backing up data at scale. A Common Request As a one-time pre-sales engineer, Mark Clark, CEO of

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