I have developed a Laravel API and looking into picking a server to deploy the project. There is no big business logic running on the server. It's a simple application. But the application will be accessed by ~100 users per second at its peak time. In that case, what parameters of the server should I be looking into for selecting a server (from hardware aspect - RAM, Storage, Processor, etc...)?
API will be used for shop floor time reporting. Every hour (when the hour completes), ~150 users will access the system to report time.
You say you will have 100 users per second, yet you say employees will access it 150 per hour.
While it is likely you can get 100 writes in 30 secs, that's nothing to a modern database.
I would recommend getting the lowest vps package from a hosting provider you like and upgrading to a higher plan if needed.
If you want to run a dedicated server on premises even an office PC with a low end ssd will do the job.
I’m going to round up my estimates because it’s better that you have slightly more then you need then less. Also I’m more used to bigger databases so these estimates may be slightly overkill? But based on my understanding of what you require, they shouldn’t be too excessive , I’ll explain everything aswell so feel free to edit this based on your requirements.
RAM= 150 people? Minimum 10gb. But ram doesn’t come in 10GB and you might aswell go for 16.
Storage? 50GB is a safe bet for small databases and whatnot, feel free to use more or less based on your numbers.
OS requirements. If your app takes up 40gb. Then you do not want only 41gb of space, that will slow everything down.
A good rule of thumb is to reserve 1 GB of RAM for the OS by default, plus an additional 1 GB for each 4 GB between 4-16 and another 1 GB for every 8 GB installed above 16 GB. What this looks like in a server with 32 GB RAM is 7 GB for your OS, with the remaining 25 GB dedicated for your application.
CPU. Whenever I talk about this people always think it’s not a big deal. It kinda is. The amount of servers that have been bottlenecked by their cpu? Is more then it should be. Now, you said that it’ll be lots of interactions (150) but small ones (just logging hours) therefore cpu cores are what you wanna look at. So just find something within budget that has a fair few cores. Intel Xeon E3 1270 V3 is pretty good for its price I would say. That’s all I can think of right now, don’t hesitate to follow up if I’ve missed anything.
I would recommend taking a look at this aswell:
Choose your version and see if you want to make any motivations based on what’s shown in the official documentation below
https://laravel.com/docs/master/installation
We are noticing occasional periods of high CPU on a web server that happens to use ImageResizer. Here are the surprising results of a trace performed with NewRelic's thread profiler during such a spike:
It would appear that the cleanup routine associated with ImageResizer's DiskCache plugin is responsible for a significant percentage of the high CPU consumption associated with this application. We have autoClean on, but otherwise we're configured to use the defaults, which I understand are optimal for most typical situations:
<diskCache autoClean="true" />
Armed with this information, is there anything I can do to relieve the CPU spikes? I'm open to disabling autoClean and setting up a simple nightly cleanup routine, but my understanding is that this plugin is built to be smart about how it uses resources. Has anyone experienced this and had any luck simply changing the default configuration?
This is an ASP.NET MVC application running on Windows Server 2008 R2 with ImageResizer.Plugins.DiskCache 3.4.3.
Sampling, or why the profiling is unhelpful
New Relic's thread profiler uses a technique called sampling - it does not instrument the calls - and therefore cannot know if CPU usage is actually occurring.
Looking at the provided screenshot, we can see that the backtrace of the cleanup thread (there is only ever one) is frequently found at the WaitHandle.WaitAny and WaitHandle.WaitOne calls. These methods are low-level synchronization constructs that do not spin or consume CPU resources, but rather efficiently return CPU time back to other threads, and resume on a signal.
Correct profilers should be able to detect idle or waiting threads and eliminate them from their statistical analysis. Because New Relic's profiler failed to do that, there is no useful way to interpret the data it's giving you.
If you have more than 7,000 files in /imagecache, here is one way to improve performance
By default, in V3, DiskCache uses 32 subfolders with 400 items per folder (1000 hard limit). Due to imperfect hash distribution, this means that you may start seeing cleanup occur at as few as 7,000 images, and you will start thrashing the disk at ~12,000 active cache files.
This is explained in the DiskCache documentation - see subfolders section.
I would suggest setting subfolders="8192" if you have a larger volume of images. A higher subfolder count increases overhead slightly, but also increases scalability.
I have installed MongoDB 2.4.4 on Amazon EC2 with ubuntu 64 bit OS and 1.6 GB RAM.
On this server, only MongoDB running nothing else.
But sometime CPU usage reach to 99% and load average: 500.01, 400.73,
620.77
I have also installed MMS on server to monitor what's going on server.
Here is MMS detail
As per MMS details, indexing working perfectly for each queries.
Suspect details as below
1) HIGH non-mapped virtual memory
2) HIGH page faults
Can anyone help me to understand what exactly causing high CPU usage ?
EDIT:
After comments of #Dylan Tong, i have reduced active connetions but
still there is high non-mapped virtual memory
Here's a summary of a few things to look into:
1. Observed a large number of connections and cursors (13k):
- fix: make sure your connection pool is appropriate. For reporting, and your current request rate, you only need a few connections at most. Also, I'm guessing you have a m1small instance, which means you only have 1 core.
2. Review queries and indexes:
- run your queries with explain(), to observe how the queries are executed. The right model normally results in queries only pulling very few documents and utilization of an index.
3. Memory (compact and readahead setting):
- make the best use of memory. 1.6GB is low. Check how much free memory you have, and compare it to what is reported as resident. A couple of common causes of low resident memory is due to fragmentation. If there are alot of documents moving, changing size and such, you should run the compact command to defragment your data files. Also, a bad readahead can lead to poor use of memory as well. Check your readahead setting (http://manpages.ubuntu.com/manpages/lucid/man2/readahead.2.html). Try a few values starting with low values (http://docs.mongodb.org/manual/administration/production-notes/). The production notes recommend 32 (for standard 512byte blocks). Sometimes higher values are optimal if your documents are larger. The hope is that resident memory should be close to your available memory and your page faults should start to lower.
If you're using resources to the fullest after this, and you're still capped out on CPU then it means you need to up your resources.
What is the minimal size server we need to run opencpu, if we expect 100,000 hits a month?
I think opencpu is an exciting project, but need to know about memory usage when opencpu is deployed, since a cloud hosting service such as rackspace charges about $40 per month for 1 GB of RAM.
I know that if I load R without doing anything or without loading any data or package in RAM, it uses almost 700m of RAM (virtual) and 50 megabytes of RAM (in residence).
I know that opencpu uses rApache, and rApache uses preforking, but want to know how this will scale as the number of concurrent users increases. Thanks.
Thanks for the responses
I talked with Jeroen Ooms when visiting LA, and am partly convinced that opencpu will work in high concurrency environments if used correctly, and that he is available to fix issues if they arrise. Opencpu related to his dissertation, after all! In particular, what I find useful about opencpu is its integration with ubuntu's AppArmor, which can restrict processes from using too much RAM and CPU. I think apache might also be able to do this, but RAppArmor can do this and much more. Brilliant! If AppArmor were the only advantage, I would just use that and json as a backend, but it seems like opencpu can also streamline the installation of all this stuff and provides a built in API system.
Given the cost of web-hosting, I imagine a workable real-time analytics system is the following:
create R statistical models on demand, on a specialized analytical server, as often as needed (e.g. every day or hour using cron)
transfer the results of the models to a directory on the opencpu servers using ftp, as native R objects
on the opencpu server, go to the directory and grab the R objects representing the statistical models, and then make predictions or do simulations using it. For example, use the 'predict' function to provide estimates based on user supplied variables.
Does anybody else see this as a viable way to make R a backend for real time analytics?
Dirk is right, it all depends on the R functions that you are calling; the overhead of the OpenCPU architecture should be quite minimal. OpenCPU itself will run on a small server, but as we all know some functionality in R requires much more memory/cpu than others.
If you really want to know how much resources are needed just to run opencpu you could do some benchmarking. As you noted, prefork is used to branch sessions of the main process, so in most cases the copy-on-write principle of forking should make it pretty cheap.
Also there is some other stuff that you can tweak; e.g. preloading of frequently used packages.
We have some users which are using lower-CPU powered machines and they're encountering slow response times using our web application. Is there any way for me to do testing so that I can simulate lower CPU rates?
For example, I have 2.3 Ghz computing power, can I lower it to 1.6 Ghz or lower so that I may be able to test it?
BTW, our customers are using Windows. I have to simulate low computing power on Internet Explorer as browser.
Most new CPUs multiplier can easily be lowered (Intel: Speedstep, AMD: PowerNow!). This is used to save power. With RMclock you can manually adjust your multiplier and thus lower your frequency and make your pc slower. I use this tool myself so I can tell you that it works.
http://cpu.rightmark.org/products/rmclock.shtml
The virtual machine Bochs(pronounced boxes) allows you to set a instructions per second directive. It's probably the slowest emulator out there as it is though...
Create some virtual machines.
You can use VirtualPC or VirtualBox both are free.
I would recommend to start something on the background which eats up all your processor cycles.
A program which finds primenumbers or something similar.
Another slight option in addition to those above is to boot windows in a lower resource config. Go to the start menu,, select run and type MSCONFIG. You can go to the boot tab, click on advanced options and limit the memory and number of of processsors. It's not as robust as the above, but it does give you another option.
Lowering the CPU clock doesn't always give expected results.
Newer CPUs feature architecture improvements which make them more efficient on an equvialent clock basis than older chips. Incidentally, because of this virtual machines are a bad way of testing performance for "older" tech as well.
Your best bet is to simply buy a couple of older machines. Using similar RAM (types and amounts), processor, motherboard chipsets, hard drives, and video cards. All of which feed into the total performance of the machine itself.
I bring the other components up because changing just one of them can have an impact on even browser performance. A prime example is memory. If your clients are constrained to something like 512MB of RAM, the machines could be performing a lot of hard drive access for VM swaps, even for just running the browser. In this situation downgrading the clock speed on your processor while still retaining your 2GB (assuming) of RAM would still not perform anywhere near the same even if everything else was equal.
Isak Savo'sanswer works, but can be a bit finicky, as the modern tpl is going to try and limit cpu load as much as possible. When I tested it out, It was hard (though possible with some testing) to consistently get the types of cpu usages I wanted.
Then I remembered, http://www.cpukiller.com/, which does this already. Highly recommended. As an aside, I found this util from playing old 90s games on modern machines, back when frame rate was pegged to cpu clock time, making playing them on modern computers way too fast. Great utility.
Another big difference between high-performance and low-performance CPUs is the number of cores available. This can realistically differ by a factor of 4, way more than the difference in clock frequency you're likely to encounter.
You can solve this by setting the thread affinity. Even IE6 will use 13 threads just to show google.com. That means it will benefit from a multi-core CPU. But if you set the thread affinity to one core only, all 13 IE threads will have to share that one core.
I understand that this question is pretty old, but here are some receipts I personally use (not only for Web development):
BES. I'm getting some weird results while using it.
Go to Control Panel\All Control Panel Items\Power Options\Edit Plan Settings\Change Advanced Power Settings, then go to the "Processor" section and set it's maximum state to 5% (or something else). It works only if your processor supports dynamic multiplier change and ACPI driver is installed correctly.
Run Task Manager and set processor affinity to a single core (or whatever number of cores you want) for your browser's (or any other's) process. Not a best practice for browsers, because JavaScript implementations are usually single-threaded, but, as far as I see, modern browsers actually DO use multiple cores.
There are a few different methods to accomplish this.
If you're using VirtualBox, go into the Settings for the VM you want to slow the CPU speed for. Go to System > Processor, then set the Execution Cap. The percentage controls how slow it will go: lower values are slower relative to the regular speed. In practice, I've noticed the results to be choppy, although it does technically work.
It is also possible to set the CPU speed for the whole system. In the Windows 10 Settings app, go to System > Power & Sleep. Then click Additional Power Settings on the right hand side. Go to Change Plan Settings for the currently selected plan, then click Change Advanced Power Plan Settings. Scroll down to Processor Power Management and set the Maximum Processor State. Again, this is a percentage. Although this does work, I find that in practice, it doesn't have a big impact even when the percentage is set very low.
If you're dealing with a videogame that uses DirectX or OpenGL and doesn't have a framerate cap, another common method is to force Vsync on in your graphics driver settings. This will usually slow the rendering to about 60 FPS which may be enough to play at a reasonable rate. However, it will only work for applications using 3D hardware rendering specifically.
Finally: if you'd rather not use a VM, and don't want to change a system global setting, but would rather simulate an old CPU for one specific process only, then I have my own program to do that called Old CPU Simulator.
The main brain of the operation is a command line tool written in C++, but there is also a GUI wrapper written in C#. The GUI requires .NET Framework 4.0. The default settings should be fine in most cases - just select the CPU you'd like to simulate under Target Rate, then hit New and browse for the program you'd like to run.
https://github.com/tomysshadow/OldCPUSimulator (click the Releases tab on the right for binaries.)
The concept is to suspend and resume the process at a precise rate, and because it happens so quickly the process will appear to just be running slowly. For example, by suspending a process for 3 milliseconds, then resuming it for 1 millisecond, it will appear to be running at 25% speed. By controlling the ratio of time suspended vs. time resumed, it is possible to simulate different speeds. This is completely API agnostic (it doesn't hook DirectX, OpenGL, etc. it'll work with a command line program if you want.)
Old CPU Simulator does not ask for a percentage, but rather, the clock speed to simulate (which it calls the Target Rate.) It then automatically determines, based on your CPU's real clock speed, the percentage to use. Although clock speed is not the only factor that has improved computer performance over time (there are also SSDs, faster GPUs, more RAM, multithreaded performance, etc.) it's a good enough approximation to get fairly consistent results across machines given the same Target Rate. It also supports other options that may help with consistency, such as setting the process affinity to one.
It implements three different methods of suspending and resuming a process and will use the best available: NtSuspendProcess, NtQuerySystemInformation, or Toolhelp Snapshots. It also uses timeBeginPeriod and timeEndPeriod to achieve high precision timing without busy looping. Note that this is not an emulator; the binary still runs natively. If you like, you can view the source to see how it's implemented - it's not a large project. On my machine, Old CPU Simulator uses less than 1% CPU and less than 1 MB of memory, so the program itself is quite efficient (unlike running intensive programs to intentionally slow the CPU.)