The MinIO Console has been an evolving product for several years now. Every time we learn, we think about how to improve this incredibly important part of our interaction framework. First came the Console, which saw massive adoption within a year of its introduction. More than 10K organizations to be more specific.Next came the enterprise Console. That moved from
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Object tags give you greater power. You now have the ability to categorize by up to ten dimensions. If you want to add the diagram to a project, then all you have to do is tag it appropriately.
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MinIO Enterprise Object Store is a foundational component for creating and executing complex data workflows. At the core of this event-driven functionality is MinIO bucket notifications using Kafka.
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Cloud-native AI/ML workloads push storage to the limit with many small files. MinIO Enterprise Object Store combines metadata and data to optimize small file operations.
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In this post we’ll show you how you visualize the cluster metrics in a web browser and also we’ll set up alerting so that when something like a drive needs to be replaced or drive runs out of space we can get alerted for it.
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You’ve surely version controlled code in the past. But have you version controlled your data? Did you ever want to collaborate on large sets of data with various teams without committing a large chunk?
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Dell generally focused on the filer game, but they dabble in object storage and have a very old offering, ECS. That makes sense, it was a step up from tape and wasn’t suited for dynamic workloads like HDFS modernization or database workloads. Needless to say, AI was out of the question. For a few years now, Dell has been
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Pairing the Iceberg table format with MinIO Enterprise Store creates a powerful, flexible and extensible lakehouse platform. The Iceberg Table Spec declares a table format that is designed to manage “a large, slow-changing collection” of files or objects stored in a distributed system.
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Take advantage of cloud native, Kubernetes-oriented, microservices-based architectures with object storage.
Read more...![Gone [to Prod] in 60 Seconds](/content/images/size/w600/2024/09/gonetoprod-in60seconds-noeyes.jpg)
In this post we’ll show you how quickly you can get a production grade of MinIO cluster up and running in just a few seconds. Not only that, but we’ll also show you how you can expand that cluster quickly in just a few seconds as well.
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MinIO is the fastest object storage available, but how do you know that underlying infrastructure is free from bottlenecks?
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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.
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In this post we explain how to use Splunk's advanced log analytics to help understand the performance of the MinIO Enterprise object store and the data under management.
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The Load Balancer in the Enterprise Object Store Firewall solves the network bottleneck. In a cloud-native environment like Kubernetes, Enterprise Firewall can fairly easy to enable the Load Balancing without any modification to your application binary or container image.
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Observability is all about gathering information (traces, logs, metrics) with the goal of improving performance, reliability, and availability.
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Simply put, OperatorHub to OpenShift is what App Store is to Apple. With a web console interface, an Operator can be pulled from its off-cluster source, installed and subscribed on the cluster, and made ready for engineering teams to self-service manage the product across deployment environments.
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Boundary helps record SSH sessions to meet compliance and improve security requirements. These sessions are then stored on MinIO for fast retrieval for auditing purposes in case of a data breach incident.
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In this blog, we will demonstrate how to use MinIO to build a Retrieval Augmented Generation(RAG) based chat application using commodity hardware.
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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.
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Dell ECS's “Data Movement”, also called copy-to-cloud is a feature introduced in ECS 3.8.0.1 that allows you to copy objects from Dell ECS to MinIO which is rather popular with customers and prospects who are modernizing their storage stack to support their AI data infrastructure requirements.
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Replication
Versioning
Observability
Encryption
Key Management Server
Object Immutability
Catalog
Object Prompt
Identity + Access Mgt
Firewall
AIHub
Lifecycle
Cache
Events and Lambdas
Console
Erasure Code Calculator
Reference Hardware
Integrations with MinIO
Download MinIO Object Store
Events
