Simplifying Object Storage as a Service with Kubernetes and MinIO’s Operator

Simplifying Object Storage as a Service with Kubernetes and MinIO’s Operator

This post was updated on 1.12.22. Object storage as a service is the hottest concept in storage today. The reason is straightforward: object storage is the storage class of the cloud and the ability to provision it seamlessly to applications or developers makes it immensely valuable to enterprises of any size. The challenge is that object storage as

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Multi-Site Active-Active Replication

Multi-Site Active-Active Replication

Synchronizing data between multiple data centers is a core competency of any object storage service. MinIO already checked this box with its performance optimized Server-Side Active-Active Bucket Replication. Initially, MinIO only recommended two MinIO deployments. Active-Active replication supports scenarios such as: Same-DC ReplicationCross-DC ReplicationSame-Region ReplicationCross-Region ReplicationActive-Active replication is a key tool for organizations looking for multi-primary topologies, fast hot-hot failover,

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Publish from Kafka, Persist on MinIO

Publish from Kafka, Persist on MinIO

Streaming data is a core component of the modern object storage stack.  Whether the source of that data is an edge device or an application running in the datacenter, streaming data is quickly outpacing traditional batch processing frameworks. Streaming data includes everything from log files (think Splunk SmartStore), web or mobile applications, autonomous vehicles, social networks and, of course financial

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