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Hybrid cloud blog

September 16, 2021

Getting Started running Spark workloads on OpenShift

This post was written by Keith Tenzer, Dan Zilberman, Pieter Malan, Louis Santillan, Kyle Bader and Guillaume Moutier. Overview Running Apache Spark for large data analytics workloads has typically ...

Keith Tenzer, Dan Zilberman, Pieter Malan, Louis Santillan, Kyle Bader

August 31, 2021

Not All Machine Learning Workloads are Alike, So Why are We Treating Them Like They are?

This is a guest blog by Dr. Ronen Dar, CTO and co-founder of Run:AI. At each stage of the machine learning / deep learning (ML/DL) process, researchers are completing specific tasks, and those tasks ...

Alex Handy

August 24, 2021

Geographically Distributed Stateful Workloads - Part Four - Kafka

Introduction In the first three installments of this blog series, we used a relational database as our geographically distributed workload to demonstrate how it behaves in terms of performance and ...

Raffaele Spazzoli

June 28, 2021

What Workloads Do Customers Run on Kubernetes?

Applications are increasingly built as discrete functional parts, each of which can be delivered as a container. That means for every application, there are more parts to manage. To handle this ...

Jehlum Vitasta Pandit

June 3, 2021

Building Cloud Native Data Analytic Services for the Edge

This is a guest post by Jonathan Katz, Vice President of Platform Engineering at Crunchy Data & PostgreSQL Core Team Member. Edge computing helps businesses become more proactive and dynamic by ...

Alex Handy

April 19, 2021

How to Orchestrate Data Pipelines with Applications Deployed on OpenShift

This is a guest post by Nils Buer, Director of Product Management at Stonebranch. Managing Kubernetes can be complex, which is why many organizations turn to Red Hat OpenShift to run their most ...

Alex Handy

March 25, 2021

AI and ML Users Survey Results Now Available

Enterprises are using artificial intelligence (AI) and machine learning (ML) to generate significant business benefits. Most technology leaders are using open source tools and hybrid cloud based ...

Alex Handy

March 15, 2021

OpenShift Commons Briefing: Asynchronous Data Replication with John Strunk and Scott Creely (Red Hat)

Scribe simplifies data replication across clusters. You can use it for disaster recovery, data distribution and app and data migration. Scribe is storage-independent, making remote replication ...

Diane Mueller

February 18, 2021

Business Centric AI/ML With Kubernetes - Part 3: GPU Acceleration

  Introduction Artificial Intelligence and Machine Learning (AI/ML) have existed in various forms for over six decades. Yet AI/ML have historically failed to live up to the hype that has surrounded ...

Tom Corcoran

October 28, 2020

Customize Your View of the Data on a Resource Page in OpenShift 4.6

In Red Hat OpenShift 4.6, you can now customize list views by managing columns. Pods, nodes, projects, and namespaces list views can all be customized so that you have more control over the data you ...

Gina Doyle

October 5, 2020

OpenShift Commons Briefing on OpenShift API Data Protection OADP with Ceph CSI

  In this OpenShift Commons Briefing, Red Hat’s Annette Clewett, Dylan Murray, and Raghu Manjunath discuss and demonstrate how OpenShift API Data Protection (OADP) and Ceph-CSI provide a strong ...

Diane Mueller

July 8, 2020

Upcoming Webinar Series on SQL Server 2019 Big Data Clusters on OpenShift

If you've ever used Microsoft SQL Server, you're familiar with the reliable, easy-to-use nature of this industrial strength data storage platform. Microsoft SQL Server 2019 added a set of ...

Abhinav Joshi