I'm quickly falling in love with ASP.NET MVC beta, and one of the things I've decided I won't sacrifice in deploying to my IIS 6 hosting environment is the extensionless URL. Therefore, I'm weighing the consideration of adding a wildcard mapping, but everything I read suggests a potential performance hit when using this method. However, I can't find any actual benchmarks!
The first part of this question is, do you know where I might find such benchmarks, or is it just an untested assumption?
The second part of the question is in regards to the 2 load tests I ran using jMeter on our dev server over a 100Mbs connection.
Background Info
Our hosting provider has a 4Gbs burstable internet pipe with a 1Gbs backbone for our VLAN, so anything I can produce over the office lan should translate well to the hosting environment.
The test scenario was to load several images / css files, since the supposed performance hit comes when requesting files that are now being passed through the ASP.NET ISAPI filter that would not normally pass through it. Each test contained 50 threads (simulated users) running the request script for 1000 iterations each. The results for each test are posted below.
Test Results
Without wildcard mapping:
Samples: 50,000
Average response time: 428ms
Number of errors: 0
Requests per second: 110.1
Kilobytes per second: 11,543
With wildcard mapping:
Samples: 50,000
Average response time: 429ms
Number of errors: 0
Requests per second: 109.9
Kilobytes per second: 11,534
Both tests were run warm (everything was in memory, no initial load bias), and from my perspective, performance was about even. CPU usage was approximately 60% for the duration of both tests, memory was fine, and network utilization held steady around 90-95%.
Is this sufficient proof that wildcard mappings that pass through the ASP.NET filter for ALL content don't really affect performance, or am I missing something?
Edit: 11 hours and not a single comment? I was hoping for more.. lol
Chris, very handy post.
Many who suggest a performance disadvantage infer that the code processed in a web application is some how different/inferior to code processed in the standard workflow. The base code type maybe different, and sure you'll be needing the MSIL interpreter, but MS has shown in many cases you'll actually see a performance increase in a .NET runtime over a native one.
It's also wise to consider how IIS has to be a "jack of all trades" - allowing all sorts of configuration and overrides even on static files. Some of those are designed for performance increase (caching, compression) and - indeed - will be lost unless you reimplement them in your code, but many of them are for other purposes and may not ever be used. If you build for your needs (only) you can ignore those other pieces and should be realising some kind of performance advantage, even though there's a potential ASP.NET disadvantage.
In my (non-.NET) MVC testing I'm seeing considerable (10x or more) performance benefits over webforms. Even if there was a small hit on the static content - that wouldn't be a tough pill to swallow.
I'm not surprised the difference is almost negligible in your tests, but I'm happy to see it backed up.
NOTE: You can disable wildcard mapping from static directories (I keep all static files in /static/(pics|styles|...)) in IIS. Switch the folder to an application, remove the wildcard mapping, and switch it back from an application and - voilà - static files are handled by IIS without pestering your ASP.NET.
I think there are several additional things to check:
Since we're using the .Net ISAPI filter, we might be using threads used to run application for serving static assets. I would run the same load test while reviewing performance counters of threads - Review this link
I would run the same load test while running Microsoft Performance Analyzer and compare the reports.
I was looking for benchmark like this for a long time. Thanx!
In my company we did wildcard mapping on several web sites (standard web forms, .net1.1 and 2, iis6), and sys admins said to me that they didn't noticed any performance issues.
But, it seems you stressed network, not server. So maybe the scores are so similar because network bottleneck? Just thinking...
That's quite an impressive post there, thanks very much for that.
We're also assessing the security and performance concerns with removing a piece of software that's always been in place to filter out unwanted traffic.
Will there by any further benchmarking on your part?
Cheers,
Karl.
Seems the bottleneck in your test is network utilization. If the performance degradation is expected to be on the CPU usage (I'm not sure it is, but it's reasonable), then you wouldn't notice it with the test you did.
Since this is a complex system, with many variables - it does not mean that there is no performance degradation. It means that in your scenario - the performance degradation is probably negligible.
Related
No, the answer to my second question is not the winter.
Preface:
I've been doing a lot of research on Entity Framework recently and something that keeps bothering me is its performance when the queries are not warmed-up, so called cold queries.
I went through the performance considerations article for Entity Framework 5.0. The authors introduced the concept of Warm and Cold queries and how they differ, which I also noticed myself without knowing of their existence. Here it's probably worth to mention I only have six months of experience behind my back.
Now I know what topics I can research into additionally if I want to understand the framework better in terms of performance. Unfortunately most of the information on the Internet is outdated or bloated with subjectivity, hence my inability to find any additional information on the Warm vs Cold queries topic.
Basically what I've noticed so far is that whenever I have to recompile or the recycling hits, my initial queries are getting very slow. Any subsequent data read is fast (subjective), as expected.
We'll be migrating to Windows Server 2012, IIS8 and SQL Server 2012 and as a Junior I actually won myself the opportunity to test them before the rest. I'm very happy they introduced a warming-up module that will get my application ready for that first request. However, I'm not sure how to proceed with warming up my Entity Framework.
What I already know is worth doing:
Generate my Views in advance as suggested.
Eventually move my models into a separate assembly.
What I consider doing, by going with common sense, probably wrong approach:
Doing dummy data reads at Application Start in order to warm things
up, generate and validate the models.
Questions:
What would be the best approach to have high availability on my Entity Framework at anytime?
In what cases does the Entity Framework gets "cold" again? (Recompilation, Recycling, IIS Restart etc.)
What would be the best approach to have high availability on my Entity Framework at anytime?
You can go for a mix of pregenerated views and static compiled queries.
Static CompiledQuerys are good because they're quick and easy to write and help increase performance. However with EF5 it isn't necessary to compile all your queries since EF will auto-compile queries itself. The only problem is that these queries can get lost when the cache is swept. So you still want to hold references to your own compiled queries for those that are occurring only very rare, but that are expensive. If you put those queries into static classes they will be compiled when they're first required. This may be too late for some queries, so you may want to force compilation of these queries during application startup.
Pregenerating views is the other possibility as you mention. Especially, for those queries that take very long to compile and that don't change. That way you move the performance overhead from runtime to compile time. Also this won't introduce any lag. But of course this change goes through to the database, so it's not so easy to deal with. Code is more flexible.
Do not use a lot of TPT inheritance (that's a general performance issue in EF). Neither build your inheritance hierarchies too deep nor too wide. Only 2-3 properties specific to some class may not be enough to require an own type, but could be handled as optional (nullable) properties to an existing type.
Don't hold on to a single context for a long time. Each context instance has its own first level cache which slows down the performance as it grows larger. Context creation is cheap, but the state management inside the cached entities of the context may become expensive. The other caches (query plan and metadata) are shared between contexts and will die together with the AppDomain.
All in all you should make sure to allocate contexts frequently and use them only for a short time, that you can start your application quickly, that you compile queries that are rarely used and provide pregenerated views for queries that are performance critical and often used.
In what cases does the Entity Framework gets "cold" again? (Recompilation, Recycling, IIS Restart etc.)
Basically, every time you lose your AppDomain. IIS performs restarts every 29 hours, so you can never guarantee that you'll have your instances around. Also after some time without activity the AppDomain is also shut down. You should attempt to come up quickly again. Maybe you can do some of the initialization asynchronously (but beware of multi-threading issues). You can use scheduled tasks that call dummy pages in your application during times when there are no requests to prevent the AppDomain from dying, but it will eventually.
I also assume when you change your config file or change the assemblies there's going to be a restart.
If you are looking for maximum performance across all calls you should consider your architecture carefully. For instance, it might make sense to pre-cache often used look-ups in server RAM when the application loads up instead of using database calls on every request. This technique will ensure minimum application response times for commonly used data. However, you must be sure to have a well behaved expiration policy or always clear your cache whenever changes are made which affect the cached data to avoid issues with concurrency.
In general, you should strive to design distributed architectures to only require IO based data requests when the locally cached information becomes stale, or needs to be transactional. Any "over the wire" data request will normally take 10-1000 times longer to retrieve than an a local, in memory cache retrieval. This one fact alone often makes discussions about "cold vs. warm data" inconsequential in comparison to the "local vs. remote" data issue.
General tips.
Perform rigorous logging including what is accessed and request time.
Perform dummy requests when initializing your application to warm boot very slow requests that you pick up from the previous step.
Don't bother optimizing unless it's a real problem, communicate with the consumer of the application and ask. Get comfortable having a continuous feedback loop if only to figure out what needs optimization.
Now to explain why dummy requests are not the wrong approach.
Less Complexity - You are warming up the application in a manner that will work regardless of changes in the framework, and you don't need to figure out possibly funky APIs/framework internals to do it the right way.
Greater Coverage - You are warming up all layers of caching at once related to the slow request.
To explain when a cache gets "Cold".
This happens at any layer in your framework that applies a cache, there is a good description at the top of the performance page.
When ever a cache has to be validated after a potential change that makes the cache stale, this could be a timeout or more intelligent (i.e. change in the cached item).
When a cache item is evicted, the algorithm for doing this is described in the section "Cache eviction algorithm" in the performance article you linked, but in short.
LFRU (Least frequently - recently used) cache on hit count and age with a limit of 800 items.
The other things you mentioned, specifically recompilation and restarting of IIS clear either parts or all of the in memory caches.
As you have stated, use "pre-generated views" that's really all you need to do.
Extracted from your link:
"When views are generated, they are also validated. From a performance standpoint, the vast majority of the cost of view generation is actually the validation of the views"
This means the performance knock will take place when you build your model assembly. Your context object will then skip the "cold query" and stay responsive for the duration of the context object life cycle as well as subsequent new object contexts.
Executing irrelevant queries will serve no other purpose than to consume system resources.
The shortcut ...
Skip all that extra work of pre-generated views
Create your object context
Fire off that sweet irrelevant query
Then just keep a reference to your object context for the duration of your process
(not recommended).
I have no experience in this framework. But in other contexts, e.g. Solr, completely dummy reads will not be of much use unless you can cache the whole DB (or index).
A better approach would be to log the queries, extract the most common ones out of the logs and use them to warm up. Just be sure not to log the warm up queries or remove them from the logs before proceeding.
I got a dedicated server running both IIS 7.5 and SQL Server 2010. Server CPU load is often near 100%. The SQL server does not take too much but the w3wp process is taking a significant amount of CPU (often 70+%).
I'd like to find out, what is causing this pressure:
* Too many requests of static files (a CDN could be added)
* Too many ajax requests (I am thinking about comet/web sockets anyways)
* Single asp.net pages consuming too much processing power (should be easy to optimize)
Where would you start looking to find out where to start optimizing?
The easiest possible way is to profile the app in production. Not sure if that is possible in your case. Some options:
look into the logs and look at the duration of the requests. Long requests are likely to put load on the system
Remote debug w3wp with Visual Studio and pause the debugger 10 times to see where it stops most. That is the hot spot
Use XPerf or PerfView to capture (managed) stacks. This has almost no impact on production performance
A good starting point would be to fire up the development tools (F12 in IE / Chrome) and look at the timings under the network tab. That will show you a waterfall-style diagram for how the page has loaded and should help you identify any particularly slow-loading static files which might be sensibly moved off to a cdn, any unnecessary requests being made, how much time is being spent getting the actual page itself, etc.
After that, profile the application with a performance profiler. A good profiler like ANTS Performance Profiler will let you look at things like execution time / hit counts for different methods, as well as what database queries are being run and how long they’re taking. A new version of ANTS (currently in EAP) will also group that activity by http request so you can see if specific pages need optimisation or are being hit too many times.
You'd also do well to check that caching is working as you intend it so that users aren’t unnecessarily re-requesting pages.
There's also a nice article on ASP.NET performance which you might want to read at http://aspalliance.com/1533_ASPNET_Performance_Tips.7.
Disclaimer: I work for Red Gate which makes ANTS.
I found an easy way to see what's going on on the server.
Nevertheless, the professional way is probably to go and use a profiling tool.
What did I do?
In IIS Console you can get a list of all current worker threads and if you choose one you can see what this thread is working on. So I was able to see that the thread was handling 100 requests in parallel, 70 of those were tracing back to the same ajax call.
The immediate solution was to reduce the frequency of that call (from every 10 to every 30 seconds). The next step will be to further optimize the call on the server side since I do have other ajax calls with the same frequency (every 10 seconds) which nearly never showed up in the active requests list since they were so fast.
Probably the easiest way to figure it out would be to install New Relic on the server. The trial lasts 30 days I think so it should give you enough time to get to the bottom of this. It'll show you long-running SQL queries, .NET methods, as well as just about everything else you can think of. It makes it very easy to identify bottlenecks.
By the way, I suggested New Relic because it sounds like your problem is in a production environment. New Relic isn't an incredibly detailed profiler. It gathers enough information to be helpful, but not so much as to slow down the server. That makes it well suited to this purpose.
If, however, you could reproduce the problem in a development environment you might try something like the free Eqatec profiler.
I am just getting in to the more intricate parts of web development. This may not be in the best place. However, when is it best to get load balancing for a web project? I understand that it depends on good design/bad design as to how many users you can get to visit a site without it REALLY effecting the performance. However, I am planning to code a new project that could potentially have a lot of users and I wondered if I should be thinking off the bat about load balancing. Opinions welcome; thanks in advance!
I should not also that the project most likely will be asp.net (webforms or mvc not yet decided) with backend of mongodb or pgsql(again still deciding).
Load balancing can also be a form of high availability. What if your web server goes down? It can take a long time to replace it.
Generally, when you need to think about throughput you are already rich because you have an enormous amount of users.
Stackoverflow is serving 10m unique users a month with a few servers (6 or so). Think about how many requests per day you had if you were constantly generating 10 HTTP responses per second for 8 hot hours: 10*3600*8=288000 page impressions per day. You won't have that many users soon.
And if you do, you optimize your app to 20 requests per second and CPU core which means you get 80 requests per second on a commodity server. That is a lot.
Adding a load balancer later is usually easy. LBs can tag each user with a cookie so they get pinned to one particular target. You app will not notice the difference. Usually.
Is this for an e-commerce site? If so, then the real question to ask is "for every hour that the site is down, how much money are you losing?" If that number is substantial, then I would make load balancing a priority.
One of the more-important architecture decisions that I have seen affect this, is the use of session variables. You need to be able to provide a seamless experience if your user ends-up on different servers during their visit. Session variables won't transfer from server to server, so I would avoid using them.
I support a solution like this at work. We run four (used to be eight) .NET e-commerce websites on three Windows 2k8 servers (backed by two primary/secondary SQL Server 2008 databases), taking somewhere around 1300 (combined) orders per day. Each site is load-balanced, and kept "in the farm" by a keep-alive. The nice thing about this, is that we can take one server down for maintenance without the users really noticing anything. When we bring it back, we re-enable our replication service and our changes get pushed out to the other two servers fairly quickly.
So yes, I would recommend giving a solution like that some thought.
The parameters here that may affect the one the other and slow down the performance are.
Bandwidth
Processing
Synchronize
Have to do with how many user you have, together with the media you won to serve.
So if you have to serve a lot of video/files to deliver, you need many servers to deliver it. Let say that you do not have, what is the next think that need to check, the users and the processing.
From my experience what is slow down the processing is the locking of the session. So one big step to speed up the processing is to make a total custom session handling and your page will no lock the one the other and you can handle with out issue too many users.
Now for next step let say that you have a database that keep all the data, to gain from a load balance and many computers the trick is to make local cache of what you going to show.
So the idea is to actually avoid too much locking that make the users wait the one the other, and the second idea is to have a local cache on each different computer that is made dynamic from the main database data.
ref:
Web app blocked while processing another web app on sharing same session
Replacing ASP.Net's session entirely
call aspx page to return an image randomly slow
Always online
One more parameter is that you can make a solution that can handle the case of one server for all, and all for one :) style, where you can actually use more servers for backup reason. So if one server go off for any reason (eg for update and restart), the the rest can still work and serve.
As you said, it depends if/when load balancing should be introduced. It depends on performance and how many users you want to serve. LB also improves reliability of your app - it will not stop when one system goes crashing down. If you can see your project growing to be really big and serve lots of users I would sugest to design your application to be able to be upgraded to LB, so do not do anything non-standard. Try to steer away of home-made solutions and always follow good practice. If later on you really need LB it should not be required to change your app.
UPDATE
You may need to think ahead but not at a cost of complicating your application too much. Do not go paranoid and prepare everything to work lightning fast 'just in case'. For example, do not worry about sessions - session management can be easily moved to SQL Server at any time and this is the way to go with LB. Caching will also help if you hit some bottlenecks in the future but you do not need to implement it straight away - good design (stable interfaces), separation and decoupling will allow for the cache to be added later on. So again - stick to good practices, do not close doors but also do not open all of them straight away.
You may find this article interesting.
We are starting to write more and more code for an ASP.Net web application uses a new thread to complete long running tasks. I can find no solid documentation that give any useful guide to any limitations of restrictions of using threads within IIS (6). Any advice to this end would be appreciated - specifically the following:
What (if any) is the max number of threads
Is there a recommended max number
Are there any pitfalls of using threads within an ASP.Net IIS web application?
Thanks for any advice
I assume you have already looked into Asynchronous ASP.NET page processing?
Improving .NET Application Performance and Scalability
http://msdn.microsoft.com/en-us/library/ms998530.aspx
10 Tips for Writing High-Performance Web Applications
http://msdn.microsoft.com/en-us/magazine/cc163854.aspx
I can find no solid documentation that
give any useful guide to any
limitations of restrictions of using
threads within IIS (6).
Mainly because this is a bad idea. Long running processes should be converted into windows services which either run continuously and occasionally check the database or whatever else for work to do or services that can be woken up by your asp.net app.
I myself have frequently done the same thing. What i found was that there is a maximum which is based on a "n number of threads per CPU" these can be adjusted and fine tuned in the web.config and machine.config files. This post has a reasonable explanation of this.
The recommended maximum would be the default setting, at least according to the documentation I have read from Microsoft on this topic sometime ago.
The biggest pitfall you will find you need to cross is how to report progress or the results back to the user. I typically use a polling mechanism from the client to call back to a page which checks the session state for progress. The session state is of course being updated from the main thread. If you want to see this approach working in real life see the House of Travel website and do a search for flights.
Was going to make this a comment, but I realized it was more relevant than I thought. Eric Lippert has heard this set of questions before, and states that it is unanswerable.
So, in short, don't even go there.
Come up with a design that uses a
small number of threads and tune that.
Make sure that you only use threads when you're going to benefit. If your long-running code is CPU-intensive, then you won't actually benefit from making the call asynchronous (in fact, performance will decrease as there is an overhead).
Use threads for I/O operations or calling Web Services.
Each application is different. Simply setting the ThreadPool to max isn't the answer, or it would already be set at this level!
The higher you set the ThreadPool, the more you'll saturate the CPU, so IF you have CPU-intensive code then this will just compound the problem even more.
Of course, you could off-load these CPU-intensive calls onto another machine.
http://msdn.microsoft.com/en-gb/magazine/cc163327.aspx
http://msdn.microsoft.com/en-us/magazine/cc163725.aspx
In Joel's article for Inc. entitled How Hard Could It Be?: The Unproven Path, he wrote:
...it turns out that Jeff and his
programmers were so good that they
built a site that could serve 80,000
visitors a day (roughly 755,000 page
views)
How would I go about figuring out the maximum load my server(s) can handle?
Benchmarking your software is often a lot harder than it seems. Sure, it's easy to produce some numbers that say something about the performance of your software, but unless it was calculated using a very accurate representation of the actual usage patterns of your end users, it might be completely different from the actual results you will get in the wild. Websites are notoriously hard to benchmark correctly. Sure, you can run a script that measures the time it takes to generate a page but it will be a very different number from what you will see under real world usage.
Inorder to create a solid benchmark of what your servers can handle, you first need to figure out what the usage patterns of your users is. If your site is already running, you can easily collect this data from your logs. Next, you need to create a simulation that will emulate exactly the same patterns as your real users exhibit... that is - view front page, login, view status page and so forth. Different pages will create a different load on the servers requiring that you actually fetch correct set of pages when simulating load on your servers. Finally, you need to figure out which resources are cached by your users, you can do this again by looking through your access log or using a tool such as firebug.
JMeter, ab, or httperf
You can create several "stress tests" and run them as the other posters are telling.
Apache has a tool called JMeter where you can create these tests and run them several times.
http://jmeter.apache.org/
Greetings.
Jason, Have you looked at the Load Test built in to Visual Studio 2008 Team System? Check out this video to see a demo.
Edit: Here's another video that has better resolution.
Apache has a tool called ab that you can use to benchmark a server. It can simulate loads requests and concurrency situations for you.
Basically you need to mimic the behavior of a user and keep ramping up the number of users being mimiced until the server response is no longer acceptable.
There are a variety of tools that can do this but essentially you want to record a few sessions activity on your site and then play those sessions back (adding some randomisation to reflect real user behaviour) lots of times.
You will want to log the performance of each session and keep increasing the load until the the performance becomes unacceptable.