I am trying to find out if I can use Windows Client machines for commissioning jobs running on a Linux Cloudera Cluster.
I currently use Linux clients and would like to run tasks such as spark-submit test.jar which runs a spark job on the cluster and replicate this behavior on windows clients.
If yes, any information about how you can go about doing this would be greatly appreciated?
You can very well use VM linux image installed on windows and access Hadoop cluster deployed on Linux.
You can also use cygwin otherwise.
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I am doing a load test on a Unix machine and I want to see if my machine's configuration is limiting the number of requests I can make at a time.
I can find memory and CPU usage easily.
How do I find out the network usage without installing any new tool like iftop?
I do not have the ability to install new applications on the Unix machine.
I am using the following Linux version:-
Red Hat Enterprise Linux Server release 7.5 (Maipo)
I've created an ASP.NET Core application on my Ubuntu machine. When I host it on an Azure Web App I noticed it was running on a Windows Server. Is it possible to host it on a Linux server instead?
You now can, without the need of a virtual machine or Docker image.
Create a web app with App Service on Linux.
See: https://azure.microsoft.com/en-us/documentation/articles/app-service-linux-how-to-create-a-web-app/
That is not possible at the moment, ran at the same problem last week while migrating some stuff from AWS. In order to keep running my apps in a Unix environment, I had to resort to Azure Container Service, but it in turn forced me to (learn and) run DC/OS.
Azure Web App is using Windows Server as operating system. You can always get our own computing machine, with Linux (Ubuntu or something else) and deploy whatever you need on it.
See here for details: https://azure.microsoft.com/en-us/services/virtual-machines/
I am learning about OpenStack deployment. It's bit confusing for me to understand what are the prerequisite for OpenStack deployment.
Can I deploy OpenStack directly on the native OS like Docker (e.g using Linux LXC ) ?
Or if not then what type of Hypervisors does it runs on (type 1 and/or type2) ?
Can I deploy OpenStack directly on the native OS like Docker (e.g using Linux LXC ) ?
That is the primary use case for OpenStack. It is effectively a resource scheduler for infrastructure resources (storage, networking, compute), and in production environments generally runs on physical hardware and then allocates on-demand virtual machines via the various APIs.
Or if not then what type of Hypervisors does it runs on (type 1 and/or type2) ?
For development and testing purposes, you can run OpenStack in any kind of hypervisor (or even in Docker or LXC containers). In terms of what hypervisors it supports (not "runs on" but "can schedule resources on), see https://wiki.openstack.org/wiki/HypervisorSupportMatrix.
I have been trying to launch FreePBX as a VM on Openstack. The launching is successful. but the during the installation time I get the following error:Some first boot error occured and the system is not properly setup. Check to see if you have internet access and re-run /etc/pbx_first_boot.sh.!! any suggestions?
I haven't a solution for your problem, but as a contribution to this community I can tell my FreePBX runs smoothly since 5 years as a Virtual Machine on VMWare ESXi (hosted on a local physical server Dell PowerEdge 1950) managing 100 extensions and up to 15 concurrent external channels.
Abhishek, are you using centos or ubuntu. Try to install "PBX in a Flesh" great product and have FreePBX stable and bugfree.
I am transitioning my debian setup into one where all debian-repository external apps run in dedicated docker containers.
In this context rstudio, of which I am a heavy user, has me puzzled ... does anybody have insight into whether it's possible to run it as a client to remote R installation?
What is a very cool feature of RStudio is RStudio Server. You install RStudio Server on you Ubuntu server and log in to a specific port where RStudio Server is running. You then get your full RStudio interface in your web browser. This allows you to run all your R analyses from any computer that has a modern browser and an internet connection.
R then runs on the remote server, asking almost no resource from the computer you are connecting from.