Remove topic multi-cluster-management
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What a Combined Broadcom and VMware Can Deliver to Our Customers

CIO

It’s clear from these conversations that three topics are top of mind for customers as it relates to the VMware-Broadcom transaction: multi-cloud, cloud-native apps and pricing. That said, I want to discuss each of these topics and share my current thinking to help address the concerns I’ve heard. I’ll share an example.

Cloud 207
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Let’s Flink on EKS: Data Lake Primer

OpenCredo

This makes it considerably easier to manage jobs and tasks. Deployment Jobs: Advantages High availability — Flink clusters run as Kubernetes deployments, so pods are automatically restarted on failure. Higher resource overhead since the cluster is always on. Higher resource overhead since the cluster is always on.

Data 59
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Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments

Confluent

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. The Confluent Platform allows you to answer these questions, as it provides a resilient, fault-tolerant and flexible management and monitoring solution.

Data 86
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Getting High Availability for IBM Db2 on AWS with Db2 Pacemaker Using Overlay IP – Part 1

Datavail

While Tivoli System Automation (TSA) and Reliable Scalable Cluster Technology (RSCT) services for high availability exist, in our experience, Pacemaker tends to be a lot more automated and robust. It’s less prone to problems than TSA clusters implemented with RSCT. Corosync offers the following: Consistent view of cluster topology.

AWS 52
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Software infrastructure 2.0: a wishlist

Erik Bernhardsson

The word cluster is an anachronism to an end-user in the cloud! I'm already running things in the cloud where there's elastic resources available at any time. Why do I have to think about the underlying pool of resources? I don't want to pay for idle resources. Just let me pay for whatever resources I'm actually using.

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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning - AI

Large language models (or LLMs) have become a topic of daily conversations. Training steps To run the training, we use SLURM managed multi-node Amazon Elastic Compute Cloud ( Amazon EC2 ) Trn1 cluster, with each node containing a trn1.32xl instance. Each trn1.32xl has 16 accelerators with two workers per accelerator.

AWS 91
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Driving 5G and HFC Convergence with Multi-Tenancy at the Edge

CableLabs

More specifically, these applications will run in a cloud-native, multi-tenant, bare-metal environment that starts the journey toward a fully converged network. There’s also a GitHub repository (referenced in the white paper) that shares the scripts for automating the deployment of a Kubernetes cluster tailored for 5G workloads.