virt-manager VS Amazon EMR

It's still being updated. I don't see anything on the virt-manager homepage or GitHub that would suggest it is deprecated. https://virt-manager.org/ https://github.com/virt-manager/virt-manager It can't do literally everything Qemu/libvirt can do using only the UI, but given that it has escape hatches to directly edit libvirt configurations, and... - Source: Hacker News / 24 days ago

I would love to see a serious comparison (features & performance) between VMWare ESXi, Proxmox VE and let's say a more stock RHEL or Ubuntu. And maybe even include FreeBSD/bhyve. Because yes, in terms of core functionality it should be in the same ballpark. And in terms of UI, Virtual Machine Manager [0] was not that bad. [0] https://virt-manager.org/. - Source: Hacker News / about 1 month ago

Shout out to https://virt-manager.org/ - works much better for me, supports running qemu on remote systems via ssh. I used to use this all the time for managing bunches of disparate vm hosts and local vms. - Source: Hacker News / 3 months ago

If not, I would just run a CentOS Stream 8 virtual machine using either GNOME Boxes or virt-manager, and set up networking and ssh so you can access the database from the host. Source: 5 months ago

Https://virt-manager.org/ <- Recommend this as Front-end. Source: 5 months ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago