What is the Ideal Hardware Configuration? In this blog post we'll go into detail all the components you need to consider before choosing the right hardware for your use cases.
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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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Let's review some of the tools available to get data out of S3, local FileSystem, NFS, Azure, GCP, Hitachi Content Platform, Ceph, and others, and into MinIO clusters.
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What if you had a personal health monitor that kept tabs on your well-being, without any effort on your part? Imagine a system that tracks your health daily, highlighting even the slightest problems, so that you can seek help before minor issues become major concerns.
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GitLab can use MinIO as its object storage backend to store large files such as artifacts, Docker images, and Git LFS files. Given the right underlying hardware, MinIO provides the performance and scale to support any modern workload, including GitLab.
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We’ve joined forces with Rafay to develop this tutorial to show you how to make the most of multi-cloud Kubernetes using Rafay to deploy, update and manage Kubernetes and applications using MinIO for object storage.
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The MinIO Subscription Network (SUBNET for short) accompanies a commercial subscription and provides peace of mind - from the dual license model (AGPL and Commercial) to the direct-to-engineering support model.
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Deep dive into MinIO mindset on how we do and recommend updates and restarts with MinIO.
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In this blog post we'll go deep into the different ElasticSearch tiers and show you how to use and configure MinIO as a storage for ElasticSearch Frozen Tier.
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In this blog post we’ll show you how you can quickly get up and running with MinIO, KES and Vault to fully understand the capabilities of server-side encryption.
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Continuous Delivery (CD) is a software development practice in which code changes are automatically built, tested, and deployed to production servers. In this blog post, we'll focus on how to deploy a MinIO cluster in a production environment.
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In this tutorial, we’ll bake the MinIO binary and the service dependencies, such as the username and group required for MinIO. We are baking this instead of frying because these will remain the same no matter how we configure and launch our image.
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Have you ever wondered how the big dogs with hundreds of apps and millions of users manage their Continuous Integration (Builds) and Continuous Delivery (Deployments) workflows?
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In this post, we will learn the process of gathering metrics from a Python application integrated with OpenTelemetry, storing them in Prometheus, and visualizing the data in a Grafana dashboard. A great tutorial by AJ from MinIO.
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Observability can be roughly divided into three sub-categories: logging, metrics, and tracing. In this blog post we’ll show you how simple it is to get set up with tracing in your new or existing MinIO application.
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This is the first year since the beginning of the pandemic where conferences have really kicked off. DeveloperWeek Cloud 2022 also came back this year with a bang in Austin, TX.
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MinIO is the perfect companion for Elasticsearch because of its industry-leading performance and scalability. MinIO’s combination of scalability and high-performance puts every data-intensive workload, not just Elasticsearch, within reach.
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MinIO 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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MinIO leverages engineering focus and minimalist thinking to add supportability functionality, which means finding and fixing issues before they become problems in your installation.
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Learning how to configure and maintain MinIO with SystemD during boot up, shutdown, initialization and more.
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