MinIO Blog

The "big data king" that enterprises spent billions on is dying. Not from lack of trying, but because cloud-native alternatives now beat it at its own game. AIStor is faster and cheaper than HDFS. The revolution is happening in quarters, not decades.

Cloud-native AI/ML workloads push storage to the limit with many small files. AIStor combines metadata and data to optimize small file operations.

MinIO is the fastest object storage available, but how do you know that underlying infrastructure is free from bottlenecks?

We often talk about how good, fast and reliable access to data is paramount if you want to have an upper hand in your AI/ML game. Why is this the case? This is because hardware failures happen at different levels.

Do you know the secret to some of the best AI models out there? It's the amount of data they had access to on which they could be trained on. For AI/ML models Fast accessible Data is King. Let me emphasize, it's not just Data, but fast accessible Data.

In this post we’ll primarily focus on how to manage drives that are failing. We’ll either try to bring them to a good state or show the best practices on how to replace them altogether without impacting existing operations.

We’ll go deep into the network configurations with which you can configure MinIO to the different replication strategies and network topologies that can be used to ensure your data is stored and accessed efficiently across multiple MinIO deployments.

Learn how to troubleshoot object storage performance with low level system component testing.

Time to first byte is a key performance metric for video streaming. Learn how MinIO improves customer experience and reduces churn.

In this post, we will learn the process of gathering metrics from a Python application integrated with OpenTelemetry, storing them in Prometheus, and visualizing the data in a Grafana dashboard. A great tutorial by AJ from MinIO.

Enabling and tuning transparent data compression in MinIO.

There is a lot of momentum around Apache Arrow these days. A favorite of developers and data practitioners, its use in business-critical applications has grown considerably and data driven organizations like Dremio, InfluxData, Snowflake, Streamlit, and Tellius are all heavily invested.

While users take it for granted that infrastructure is available, you know that metrics, monitoring and alerting are critical to operations.

Dig into MinIO internals and learn how this distributed object storage solution is optimized to handle thousands of versions of a single object.

One-click automated performance testing for MinIO clusters.

Protecting blocks is not the same as protecting objects. Learn where block-level RAID falls short compared to erasure coding in distributed object storage.

How to use Apache Flink to build a private cloud data pipeline for a variety of use cases.