We have said it before, but it bears repeating. The cloud is an operating model - not a physical location. That is why you will find MinIO everywhere on the public cloud, on the private cloud, at the edge. We don’t differentiate and because we are cloud native we are cloud (location) agnostic. The public cloud has mindshare and
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Snowflake is now the de facto standard for cloud data warehouse platforms. It is architected to support a variety of data tasks from pipelines, ETL, analytics and governance. Traditionally, all the data needed to be moved into Snowflake for an enterprise to take advantage of the Snowflake capabilities. Snowflake, however, has understood that enterprises want to integrate their data wherever
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With the advent of cloud computing, ephemeral compute instances have become ubiquitous. This introduces a whole set of challenges around managing the software, applying DevOps principles, addressing security vulnerabilities and ensuring automation. These are mission-critical in order to prevent data theft and service disruption. Addressing security vulnerabilities is particularly challenging as it frequently takes the form of updating and restarting
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IoT applications have been exploding for some time, from the bleeding edge of the network to the factory floor, but now they are reaching critical mass. They already generate lots of data and that amount is increasing. Some of this data is processed locally but much of it needs to be sent someplace for further analysis. In many cases, the
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With the introduction of Microsoft SQL Server 2022 now you can query and store data that is on MinIO. Using a feature called Polybase, this changes the game when it comes to the size and location of usable data.
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Kubecon EU in Valencia, Spain was a welcome breath of fresh air for the Kubernetes community. While the Linux Foundation and the CNCF did great work in the pandemic, nothing is quite like seeing your “people” in person. That what Valencia delivered. I don’t know the attendance figures off the top of my head, but having been in Los
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DirectPV is a CSI driver for Direct Attached Storage. At the most basic level, it is a distributed persistent volume manager, and not a storage system like SAN or NAS. DirectPV is used to discover, format, mount, schedule and monitor drives across servers. Before we get into the architecture of DirectPV, let’s address why we needed to build it.
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I’ve been working with neural networks and machine learning since the late ‘80. Yes, I’m that old. The first product I bought was California Scientific Software BrainMaker Professional. I loved that product because it got me started with neural networks. I still have it: It was a 3 layer neural network product that came with source code in
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Arrow here, Arrow there, Arrow everywhere. Seems like currently you can't swing a dead cat without hitting an article or blog post about Apache Arrow. Most seem to be addressing a developer audience and are based on a Python and Spark style development platform. Today I’m going to write about using Apache Arrow with MinIO from the R programming
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Learn how to build a cloud-native analytics and visualization stack backed by MinIO.
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LXD is a next generation system container and virtual machine manager for Linux systems from Canonical Ltd. LXD lets you manage your containers with a simple command line tool or via a REST API. LXMIN (lex-min) is a simple backup and restore tool for LXD instances (containers or virtual machines) using MinIO object storage. It provides both a command line
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Large numbers of small files present big challenges for application performance.
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I was recently working with a customer on a performance optimization issue when I became aware of an NMVe phenomena which I had never come across, despite spending decades as a chief technology officer and chief data officer. As I dug into the phenomena, I learned that it is a bit of a shared secret among the NVMe crowd. The
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Setting the record straight on how to compare multiple storage technologies.
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There is a lot of momentum around Apache Arrow these days. A favorite of developers and data practitioners, its use in business-critical applications has grown considerably and data driven organizations like Dremio, InfluxData, Snowflake, Streamlit, and Tellius are all heavily invested. The drivers of this adoption are superior interoperability, simpler data architectures, greater speed and efficiency, more choice of tools
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Learn how Reed-Solomon erasure coding provides data protection for distributed object storage at scale.
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This post first appeared in The New Stack. With the constant evolution of the enterprise, machine learning and artificial intelligence have become board-level initiatives. Marketing claims aside, capabilities that seemed almost mythical a few years ago are now taken for granted as AI/ML becomes baked into every software stack and architecture. This is becoming known as AI-first architecture. In
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Install and configure Loki, Promtail, Grafana and MinIO to quickly get started working with log data.
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Kubeflow is a modern solution to design, build and orchestrate Machine Learning pipelines using the latest and most popular frameworks. Out of the box, Kubeflow ships with MinIO inside to store all of its pipelines, artifacts and logs, however that MinIO is limited to a single PVC and thus cannot benefit from all the features a distributed MinIO brings to
Read more...We are in a cloud native talent crisis. It is not going to end soon. Given the depth of the crisis, it is pretty amazing to consider how quickly the cloud operating model has grown – from the public cloud to the private cloud and even out to the edge. Our clients and partners are all angling for more cloud talent.
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