Azure memory size -- what gives? [closed] - azure

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OK,
I am setting up my first Azure VM, the only images available are basically windows server.
Why are their servers so low on memory until you get to pretty big $$$?
Are there any of us who would straight faced tell a client that they should run a windows server with .75 GB of ram?
Can I run basic applications on the small machines or should I not waste my time?
Thank you,
Joe

not sure where you're looking at, but there's definitely more than Windows images in there (Ubunto, CoreOs, CentOS, Suse...)
Not to mention that you also have the VM Depot
extra small instances make good for some light load like acting as a witness in HA setups, or even running small web sites...
depends on what you run on it.
you'd know better what your app requires.

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dedicated servers for socket.io? [closed]

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One of the main features in my website is a simple One-to-One chat.
I'm debating whether or not I shall dedicate a server (or a cluster) for the sole purpose of this chat feature. The simpler option would be combining this feature as part of the web-servers and just scale out when necessary.
It is worth mentioning I'd like in the future to enable images transfer within the chat.
So what is the better option and why?
Well yes, Whether to use another dedicated server is not depending on how much traffic your site will have to handle. If you're dealing with images It will be a good idea to store them in another server and keep the root server clean.

Azure web site instances [closed]

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How long does it take to spin up a new instance of a website on the azure platform?
So If I have 1 instance and I want to increase to say 3 - how long will it take for the other 2 instances to serve requests?
Thanks
With Azure Websites it is instant (few seconds) - under assumption there is incoming traffic to activate those instances. Azure Websites has already a pool of machines standing by, so the only thing you notice is a cold start of your site on a new machine.
I just did this. It took just under 10 minutes. Although not instant, this seems reasonable for most scenarios, especially if you know that your site is about to be hit. What is important though, is that this answer is really only a guess. There are many variables that could affect this massively:
I was using a smallish .Net web service - a larger app could be slower to deploy?
My service runs on Windows Server 2012 - are other editions faster/slower?
Do MS sometimes have new VMs on standby for quick deployment?
I'm sure the Azure centres are busier/slower at certain times than others
If you have a large/slow set of startup scripts, this will all add time
I don't know answers to any of those but hopefully this gives you an idea.
EDIT: Just to be clear - I did this on Cloud Services, not "Web Sites", which I don't have any of! I'm not always sure whether OPs know the difference - I used to call my Web Sites for ages!

Learning to Becoming a Hadoop Administrator [closed]

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I would like to become a Hadoop administrator. I have a copy of the book 'Hadoop Operations' and i would like to get my hands dirty with setups et al.
So here's the question: Should i invest in a physical server for practice? or is it all done in the cloud?
Don't invest in a physical server, unless you're sure (and I mean SURE) you want to spend hundreds of CPU-hours in practical exercises. A more cost-effective option may be to get an account with a IaaS provider (such as Amazon), and experiment with virtual machines. You can turn off unneeded VMs when not doing exercises, so your costs could be a lot smaller. Plus you can get many VMs for short periods of time without huge upfront investments.
Some of the most challenging aspects of administering Hadoop is dealing with large clusters and clusters that are highly utilized. Unfortunately this means that there is only so much you can learn on your own, as both of those scenarios can be very expensive and time-consuming to set up. So don't try going too deep on your toy cluster, instead get familiar with the basics & configuration options and then try to find a job, or a project where you could join an existing ops team.

How is Dart VM's performance compared to Node.js? [closed]

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I would like to start a new Nodejs project soon, and I was wondering if I should try out Dart VM instead. I read that Dart VM is not finished yet, but I should already have everything I need (web server, sockets, files i/o), and I would enjoy discovering something new.
Does anyone have experience with both Node and DartVM, and can tell me what are the major differences/problems to expect, or if Dart VM is really not usable for real server side projects yet?
I'm not asking for your personal preferences, but for actual problems I might encounter based on your experience.
I worked on a small project, a few months ago, using Dart as a server side language. I really enjoyed it and didn't have any specific problem beside the occasional "there's no package for that" - there are way more packages for Node than for Dart. This could be something to consider for development speed (no need to reinvent the wheel). Other than that, everything went fine.
As a note, it is being used live by others: top 5 live websites already using Dart

Web application development in remote desktop vs. local desktop [closed]

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Which one is better - developing application in remotely accessed machine or local machine?
I'm working in IT department of health care institute, we using third party software, now started to development in our department itself with existing database, then the third party company demanded us to remotely access their machine for development purpose.
This will get closed as off topic - but before it does....
Development will be faster and easier on a local machine and under your control.
The customer data/code/etc will be safer and more secure on a remote machine.
At the end of the day if the third party are paying you to develop remotely then warn them that it will extend development timescales and they will be billed accordingly and if they still want it go with it.
Sometimes you have to sacrifice efficiency to keep the customer happy.

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