For every Amazon or Etsy running DevOps at the highest levels of velocity, there
are thousands of teams like mine that I will generously call a work in progress.
The old adage of a chain only being as strong as its weakest link certainly
applies to DevOps. Every DevOps organization has its own strengths and
weaknesses. Perhaps your CI/CD
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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
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At MinIO, we are on a mission and we won’t stop until everyone can run the
resilient, performant and scalable object storage that has taken the cloud by
storm. There are already millions of MinIO deployments across the public cloud,
private cloud and edge - and we are making it even easier to run S3 API
compliant and Kubernetes
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Learn how to deploy MinIO in distributed mode to get S3 object storage on Azure.
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Bring multicloud strategy to life quickly and easily with MinIO in AWS Marketplace.
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Using the MinIO managed application to enable workloads written for S3 to run on Azure.
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Let’s get a few things out there right away.
First, Kubecon remains a shadow of its former self. In 2019 it was vibrant, even
frothy. It was pretty sad this week in LA. The forecast was for 3,000 but we
would be surprised if it was 2,000. My sense talking to others on the sponsor
side was
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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
[https://blog.min.io/active-active-replication/]. Initially, MinIO only recommended
two MinIO deployments.
Active-Active replication supports scenarios such as:
* Same-DC Replication
* Cross-DC Replication
* Same-Region Replication
* Cross-Region Replication
Active-Active replication
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We are at an interesting time from a technology standpoint. The cloud, and by
this we mean a way of doing things - not a physical location, has created a
yawning gap between cloud-native companies and legacy vendors (many of whom are
giants).
Only a few of these giants will make it to the other side.
There are multiple reasons,
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Build enterprise hybrid and multi cloud object storage with MinIO and Red Hat OpenShift
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What Amazon Web Services has done is truly remarkable. Over the better part of
fifteen years they have built a business with an annual run rate in excess of
$45B. Underpinning that remarkable growth is storage – specifically S3, launched
back in 2006. S3 revolutionized the storage industry and the S3 API is now the
standard in the cloud, replacing the
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The line between hybrid cloud and multicloud is blurry at this point. The hybrid
cloud is certainly more expansive in its definition (public, on-prem, edge). The
multi-cloud generally refers to multiple public cloud. What makes it blurry is
that the cloud is a mentality - not a physical location. As a result, we see the
terms used interchangeably these days.
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One of the key requirements driving enterprises towards cloud-native object
storage platforms is the ability to consume storage in a multi-data center
setup. Multiple data centers provide resilient, highly available storage
clusters, capable of withstanding the complete failure of one or more of those
data centers. Multi-data center support brings private and hybrid cloud
infrastructure closer to how the public
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