In this post, we’ll show you how to configure the MinIO Operator with the most restrictive namespace permissions – all the while being able to fully utilize the power and flexibility of the MinIO Operator for day-to-day operations.
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Step by step instructions to plan for a migrate data off AWS S3 and on MinIO on-premise.
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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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Learn how to integrate MinIO into your Enterprise CockroachDB instance as a changefeed sink, ensuring durability and scalability. This guide enables an enterprise-grade CDC strategy, vital for real-time data fabrics, analytics, and machine learning.
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We had a conversation with the CIO of a major bank the other day. They are one of the global systemically important banks - the biggest of the big. The CIO had decided to bring in MinIO as the object store for a data analytics initiative. This deployment collects data from mortgage, transactional and news platforms to run Spark and
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In all my previous posts on MinIO, where I had to write code, I used MinIO’s Python SDK, which is documented here. I prefer this SDK because it is easy to use and it provides programmatic access to MinIO’s enterprise features, such as Lifecycle Management, Object Locking, Bucket Notifications, and Site Replication. (I showed how to set up
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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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Learn how to back up SQL Server 2022 to MinIO on-premise.
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Explore 'Streamlining Data Events with MinIO and PostgreSQL,' a guide for developers using Docker, MinIO, and PostgreSQL. Learn about using Docker Compose for real-time data events, enhancing data analytics, and developing robust, event-driven applications.
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Explore the future of AI in an open-source landscape, challenging Big Tech's masked efforts. Learn how embracing extreme open innovation fosters collaboration, drives market growth, and sets the stage for an open-source AI data stack.
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In this post, we’ll take a look at the various states an object can be in during the replication process and how to get back up and running as quickly as possible among other tidbits so you have a pleasant experience Day 2 of replication.
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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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You can now perform S3 Delete operations using the MinIO Batch Framework to remove multitudes of objects with a single API request. The MinIO Batch Framework lets you quickly and easily perform repetitive or bulk actions like Batch Replication and Batch Key-Rotate across your MinIO deployment. The MinIO Batch Framework handles all the manual work, including managing retries and reporting
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Joust against data complexity with LanceDB, a lightning-fast vector database optimized for AI/ML on the open-source Lance format. Teaming up with MinIO, it scales seamlessly, offering high-performance, cloud-native storage. Dive into the tutorial for a swift deployment.
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With only a few days left in 2023 (who else can’t believe it?), we have been taking some time to look back on what an amazing year it’s been. There have been so many highlights. Whether it’s been the many awards, conferences, or meeting so many of you, we are eternally grateful! The biggest part of MinIO
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Over the past few months, I have written about a number of different technologies (Ray Data, Ray Train, and MLflow). I thought it would make sense to pull them all together and deliver an easy-to-understand recipe for distributed data preprocessing and distributed training using a production-ready MLOPs tool for tracking and model serving. This post integrates the code I presented
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We have made the case for several years that in modern data stacks object storage is primary storage. This is even more true in the age of AI where enterprises focus almost exclusively on object storage. The modern data stack relies on disaggregated compute and storage alongside cloud-native microservices running in containers on Kubernetes. As more enterprises shift to this
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Most machine learning projects start off as a single-threaded proof of concept where each task is completed before the next task can begin. The single-threaded ML pipeline depicted below is an example. However, at some point, you will outgrow the pipeline shown above. This may be caused by datasets that no longer fit into the memory of a single process.
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The calendar year 2023 will be a meaningful one, perhaps one of the most meaningful ones, when the history of AI is written. It was, in essence, the big bang. It started in late 2022 with OpenAI’s ChatGPT but it was the response that was so breathtaking. Within months we had Meta’s LLaMA 2, Google’s Bard chatbot
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Rising interest in super-fast analytical databases like ClickHouse Cloud and MotherDuck highlights the benefits of decoupling storage and compute. This architecture, exemplified in AI applications, enhances scalability, speed, and cost efficiency, and is driving a shift towards object storage.
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Replication
Versioning
Observability
Encryption
Key Management Server
S3 Compatibility
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
