Debugging MinIO Installs

Debugging MinIO Installs

In this blog post, we’ll show you how to debug a MinIO install running in Kubernetes and also some of the common issues you might encounter when doing bare metal installation and how to rectify them.

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Renewing KES certificate

Renewing KES certificate

In this post we'll show you some of the common errors you can run into when the certs in KES expire. We'll show you what errors you can expect and how to renew and update the certs in a quick fashion.

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Add Pools and expand capacity

Add Pools and expand capacity

Server pools help you expand the capacity of your existing MinIO cluster quickly and easily. This blog post focuses on increasing the capacity of one cluster, which is different from adding another cluster and replicating the same data across multiple clusters.

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Get Started with MinIO on Red Hat OpenShift for a PoC

Get Started with MinIO on Red Hat OpenShift for a PoC

When we announced the availability of MinIO on Red Hat OpenShift, we didn’t anticipate that demand would be so great that we would someday write a series of blog posts about this powerful combination. This combination is being rapidly adopted due to the ubiquitous nature of on-prem cloud and the need of large organizations wanting to bring their data

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YouTube Summaries: Kubernetes and the MinIO Operator

YouTube Summaries: Kubernetes and the MinIO Operator

Our latest YouTube training series is all about the MinIO Operator, which brings native support for deploying and managing MinIO deployments (“MinIO Tenants”) on a Kubernetes cluster. MinIO’s Mike Johnson (aka MJ) brings us through the 10-part video series to set the foundation of understanding Kubernetes before focusing on installing and configuring the MinIO Operator for Kubernetes, which will

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How to Set up Kafka and Stream Data to MinIO in Kubernetes

How to Set up Kafka and Stream Data to MinIO in Kubernetes

Apache Kafka is an open-source distributed event streaming platform that is used for building real-time data pipelines and streaming applications. It was originally developed by LinkedIn and is now maintained by the Apache Software Foundation. Kafka is designed to handle high volume, high throughput, and low latency data streams, making it a popular choice for building scalable and reliable data

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