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MinIO for Kubernetes MinIO for VMware Tanzu MinIO for OpenShift MinIO for SUSE Rancher MinIO for Amazon Elastic Kubernetes Service MinIO for Azure Kubernetes Service MinIO for Google Kubernetes Engine
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Multi-Site Replication Global Identity and Access Management Encryption Bucket & Object Immutability Bucket & Object Versioning Data Life Cycle Management & Tiering Automated Data Management Interfaces Monitoring Scalability AWS S3 Compatibility
Hybrid Cloud Object Storage Hybrid Cloud Object Storage
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Baremetal Baremetal
Overview Architecture
Erasure Code Calculator Erasure Code Calculator Reference Hardware Reference Hardware
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Modern Datalakes Modern, multi-engine datalakes depend on object stores that deliver performance at scale. Learn more about this core MinIO use case. AI&ML Object storage is powering the AI revolution. Learn how MinIO is leading that effort with performance at scale. Integrations Browse our vast portfolio of integrations SQL Server Discover how to pair SQL Server 2022 with MinIO to run queries on your data on any cloud - without having to move it. Commvault Learn how Commvault and MinIO are partnered to deliver performance at scale for mission critical backup and restore workloads. Snowflake Query and analyze multiple data sources, including streaming data, residing on MinIO with the Snowflake Data Cloud. No need to move the data, just query using SnowSQL. Splunk Find out how MinIO is delivering performance at scale for Splunk SmartStores Veeam Learn how MinIO and Veeam have partnered to drive performance and scalability for a variety of backup use cases. HDFS Migration Modernize and simplify your big data storage infrastructure with high-performance, Kubernetes-native object storage from MinIO. VMware Discover how MinIO integrates with VMware across the portfolio from the Persistent Data platform to TKGI and how we support their Kubernetes ambitions.
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Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

Raghav Karnam Raghav Karnam Raghav Karnam on Dremio
Migrating from Hadoop to a Cloud-Ready Architecture for Data Analytics

This post was a collaboration between Kevin Lambrecht of UCE Systems and Raghav Karnam The cloud operating model and specifically Kubernetes have become the standard for large scale infrastructure today. More importantly, they are evolving at an exceptional pace with material impacts to data science, data analytics and AI/ML. This transition has a significant impact on the Hadoop ecosystem.

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Architecting a Modern Data Lake

Raghav Karnam Raghav Karnam Raghav Karnam on Architect's Guide
Architecting a Modern Data Lake

Approximately 90% of all the data in the world is replicated data, with only 10% being genuine, new data. This has significant implications for an enterprise's data strategy — particularly when you consider the growth rates. For example, in 2020, the total amount of data generated and consumed was 64.2 zettabytes. In 2021, it was forecast that the overall amount

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Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

Raghav Karnam Raghav Karnam Raghav Karnam on Operator's Guide
Migrating MinIO Cluster Instances with Zero Downtime and Zero Data Loss

With the advent of cloud computing, ephemeral compute instances have become ubiquitous. This introduces a whole set of challenges around managing the software, applying DevOps principles, addressing security vulnerabilities and ensuring automation. These are mission-critical in order to prevent data theft and service disruption. Addressing security vulnerabilities is particularly challenging as it frequently takes the form of updating and restarting

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