I have a need to change Attributes of an App and I understand I can do it with management server API calls.
The two issues with using the management server APIs are:
performance: it’s making calls to the management server, when it
might be possible directly in the message processor. Performance
issues can probably be mitigated with caching.
availability: having to use management server APIs means that the system is
dependent on the management server being available. While if it were
done directly in the proxy itself, it would reduce the number of
failure points.
Any recommended alternatives?
Finally all entities are stored in the cassandra ( for the runtime )
Your best choice is using access entity policy for getting any info about an entity. That would not hit the MS. But just for your information - most of the time you do not even need an access entity policy. When you use a validate apikey or validate access token policy - all the related entity details are made available as flow variable by the MP. So no additional access entity calls should be required.
When you are updating any entity (like developer, application) - I really assume it is management type use case and not a runtime use case. Hence using management APIs should be fine.
If your use case requires a runtime API call to in-turn update an attribute in the application then possibly that attribute should not be part of the application. Think how you can take it out to a cache, KVM or some other place where you can access it from MP (Just a thought without completely knowing the use cases ).
The design of the system is that all entity editing goes through the Management Server, which in turn is responsible for performing the edits in a performant and scalable way. The Management Server is also responsible for knowing which message processors need to be informed of the changes via zookeeper registration. This also ensures that if a given Message Processor is unavailable because it, for example, is being upgraded, it will get the updates whenever it becomes available. The Management Server is the source of truth.
In the case of Developer App Attributes, (or really any App meta-data) the values are cached for 3 minutes (I think), so that the Message Processor may not see the new values for up to 3 minutes.
As far as availability, the Management Server is designed to be highly available, relying on the same underlying architecture as the message processor design.
Related
I am using SignalR hosted in multiple servers behind a load balancer. I am storing the connnection id and the user id in the custom database table in sql server. Every time, I need to send notification to the selected users. It is working fine in the single server environment. How do I scale the SignalR implementation with custom database table without using existing backplane options?
I am not sure what is your current implementation because it seems to be a bit mixed your explanation. If you have multiple servers behind a load balancer it means you applied some techniques (I think so!). But you said it's working fine in the single server environment but not in multiple servers. Let's review what is mandatory for multiple servers (scale out)
Communication between instances: It means that any message in one instance is available on all the other instances. The classic implementation is any type of queue, SignalR supports Redis, you can use SQL Server but it's clear the limitations of any SQL solution. Azure has a Redis Cache as a PaaS
In-memory storage: You normally use this in a single server but it's mandatory to implement shared memory. Again, Redis has a shared memory solution in case you have the server available. There is not any possibility of implementing this without a solution like Redis.
Again, a lower-performance solution would be a MemStorage implementation in SQL.
Authentication: The out-of-the-box implementation of security uses a cookie to store the encrypted key. But once you have multiple servers every server has its unique key. To solve the problem you have to implement your own DataProtector in case this is your method used.
The examples are extremely beyond this explanation, most of the code (even templates without the actual methods implemented) would take several pages. I suggest you to take a look at the 3 items that are mandatory to scale out your application.
I'm designing a database monitoring application. Basically, the database will be hosted in the cloud and record-level access to it will be provided via custom written clients for Windows, iOS, Android etc. The basic scenario can be implemented via web services (ASP.NET WebAPI). For example, the client will make a GET request to the web service to fetch an entry. However, one of the requirements is that the client should automatically refresh UI, in case another user (using a different instance of the client) updates the same record AND the auto-refresh needs to happen under a second of record being updated - so that info is always up-to-date.
Polling could be an option but the active clients could number in hundreds of thousands, so I'm looking for a more robust and lightweight (on server) solution. I'm versed in .NET and C++/Windows and I could roll-out a complete solution in C++/Windows using IO Completion Ports but feel like that would be an overkill and require too much development time. Looked into ASP.NET WebAPI but not being able to send out notifications is its limitation. Are there any frameworks/technologies in Windows ecosystem that can address this scenario and scale easily as well? Any good options outside windows ecosystem e.g. node.js?
You did not specify a database that can be used so if you are able to use MSSQL Server, you may want to lookup SQL Dependency feature. IF configured and used correctly, you will be notified if there are any changes in the database.
Pair this with SignalR or any real-time front-end framework of your choice and you'll have real-time updates as you described.
One catch though is that SQL Dependency only tells you that something changed. Whatever it was, you are responsible to track which record it is. That adds an extra layer of difficulty but is much better than polling.
You may want to search through the sqldependency tag here at SO to go from here to where you want your app to be.
My first thought was to have webservice call that "stays alive" or the html5 protocol called WebSockets. You can maintain lots of connections but hundreds of thousands seems too large. Therefore the webservice needs to have a way to contact the clients with stateless connections. So build a webservice in the client that the webservices server can communicate with. This may be an issue due to firewall issues.
If firewalls are not an issue then you may not need a webservice in the client. You can instead implement a server socket on the client.
For mobile clients, if implementing a server socket is not a possibility then use push notifications. Perhaps look at https://stackoverflow.com/a/6676586/4350148 for a similar issue.
Finally you may want to consider a content delivery network.
One last point is that hopefully you don't need to contact all 100000 users within 1 second. I am assuming that with so many users you have quite a few servers.
Take a look at Maximum concurrent Socket.IO connections regarding the max number of open websocket connections;
Also consider whether your estimate of on the order of 100000 of simultaneous users is accurate.
My organisation (a small non-profit) currently has an internal production .NET system with SQL Server database. The customers (all local to our area) submit requests manually that our office staff then input into the system.
We are now gearing up towards online public access, so that the customers will be able to see the status of their existing requests online, and in future also be able to create new requests online. A new asp.net application will be developed for the same.
We are trying to decide whether to host this application on-site on our servers(with direct access to the existing database) or use an external hosting service provider.
Hosting externally would mean keeping a copy of Requests database on the hosting provider's server. What would be the recommended way to then keep the requests data synced real-time between the hosted database and our existing production database?
Trying to sync back and forth between two in-use databases will be a constant headache. The question that I would have to ask you is if you have the means to host the application on-site, why wouldn't you go that route?
If you have a good reason not to host on site but you do have some web infrastructure available to you, you may want to consider creating a web service which provides access to your database via a set of well-defined methods. Or, on the flip side, you could make the database hosted remotely with your website your production database and use a webservice to access it from your office system.
In either case, providing access to a single database will be much easier than trying to keep two different ones constantly and flawlessly in sync.
If a webservice is not practical (or you have concerns about availability) you may want to consider a queuing system for synchronization. Any change to the db (local or hosted) is also added to a messaging queue. Each side monitors the queue for changes that need to be made and then apply the changes. This would account for one of the databases not being available at any given time.
That being said, I agree with #LeviBotelho, syncing two db's is a nightmare and should probably be avoided if you can. If you must, you can also look into SQL Server replication.
Ultimately the data is the same, customer submitted data. Currently it is being entered by them through you, ultimately it will be entered directly by them, I see no need in having two different databases with the same data. The replication errors alone when they will pop-up (and they will), will be a headache for your team for nothing.
I have been given access to a real time data feed which provides location information, and I would like to build a website around this, but I am a little unsure on what architecture to use to achieve my needs.
Unfortunately the feed I have access to will only allow a single connection per IP address, therefore building a website that talks directly to the feed is out - as each user would generate a new request, which would be rejected. It would also be desirable to perform some pre-processing on the data, so I guess I will need some kind of back end which retrieves the data, processes it, then makes it available to a website.
From a front end connection perspective, web services sounds like it may work, but would this also create multiple connections to the feed for each user? I would also like the back end connection to be persistent, so that data is retrieved and processed even when the site is not being visited, I believe IIS will recycle web services and websites when they are idle?
I would like to keep the design fairly flexible - in future I will be adding some mobile clients, so the API needs to support remote connections.
The simple solution would have been to log all the processed data to a database, which could then be picked up by the website, but this loses the real-time aspect of the data. Ideally I would be looking to push the data to the website every time the data changes or now data is received.
What is the best way of achieving this, and what technologies are there out there that may assist here? Comet architecture sounds close to what I need, but that would require building a back end that can handle multiple web based queries at once, which seems like quite a task.
Ideally I would be looking for a C# / ASP.NET based solution with Javascript client side, although I guess this question is more based on architecture and concepts than technological implementations of these.
Thanks in advance for all advice!
Realtime Data Consumer
The simplest solution would seem to be having one component that is dedicated to reading the realtime feed. It could then publish the received data on to a queue (or multiple queues) for consumption by other components within your architecture.
This component (A) would be a standalone process, maybe a service.
Queue consumers
The queue(s) can be read by:
a component (B) dedicated to persisting data for future retrieval or querying. If the amount of data is large you could add more components that read from the persistence queue.
a component (C) that publishes the data directly to any connected subscribers. It could also do some processing, but if you are looking at doing large amounts of processing you may need multiple components that perform this task.
Realtime web technology components (D)
If you are using a .NET stack then it seems like SignalR is getting the most traction. You could also look at XSockets (there are more options in my realtime web tech guide. Just search for '.NET'.
You'll want to use signalR to manage subscriptions and then to publish messages to registered client (PubSub - this SO post seems relevant, maybe you can ask for a bit more info).
You could also look at offloading the PubSub component to a hosted service such as Pusher, who I work for. This will handle managing subscriptions and component C would just need to publish data to an appropriate channel. There are other options all listed in the realtime web tech guide.
All these components come with a JavaScript library.
Summary
Components:
A - .NET service - that publishes info to queue(s)
Queues - MSMQ, NServiceBus etc.
B - Could also be a simple .NET service that reads a queue.
C - this really depends on D since some realtime web technologies will be able to directly integrate. But it could also just be a simple .NET service that reads a queue.
D - Realtime web technology that offers a simple way of routing information to subscribers (PubSub).
If you provide any more info I'll update my answer.
A good solution to this would be something like http://rubyeventmachine.com/ or http://nodejs.org/ . It's not asp.net, but it can easily solve the issue of distributing real time data to other users. Since user connections, subscriptions and broadcasting to channels are built in to each, that will make coding the rest super simple. Your clients would just connect over standard tcp.
If you needed clients to poll for updates then you would need a que system to store info for the next request. That could be a simple array, or a more complicated que system depending on your requirements and number of users.
There may be solutions for .net that I am not aware of that do the same thing, but those are the 2 I know of.
Most if not all of the NSB examples for ASP.NET (or MVC) have the web application sending a message using Bus.Send and possibly registering for a simple callback, which is essentially how I'm using it in my application.
What I'm wondering is if it's possible and/or makes any sense to handle messages in the same ASP.NET application.
The main reason I'm asking is caching. The process might go something like this:
User initiates a request from the web app.
Web app sends a message to a standalone app server, and logs the change in a local database.
On future page requests from the same user, the web app is aware of the change and lists it in a "pending" status.
A bunch of stuff happens on the back-end and eventually the requests gets approved or rejected. An event is published referencing the original request.
At this point, the web app should start displaying the most recent information.
Now, in a real web app, it's almost a sure thing that this pending request is going to be cached, quite possibly for a long period of time, because otherwise the app has to query the database for pending changes every time the user asks for the current info.
So when the request finally completes on the back-end - which might take a minute or a day - the web app needs, at a minimum, to invalidate this cache entry and do another DB lookup.
Now I realize that this can be managed with SqlDependency objects and so on, but let's assume that they aren't available - perhaps it's not a SQL Server back-end or perhaps the current-info query goes to a web service, whatever. The question is, how does the web app become aware of the change in status?
If it is possible to handle NServiceBus messages in an ASP.NET application, what is the context of the handler? In other words, the IoC container is going to have to inject a bunch of dependencies, but what is their scope? Does this all execute in the context of an HTTP request? Or does everything need to be static/singleton for the message handler?
Is there a better/recommended approach to this type of problem?
I've wondered the same thing myself - what's an appropriate level of coupling for a web app with the NServiceBus infrastructure? In my domain, I have a similar problem to solve involving the use of SignalR in place of a cache. Like you, I've not found a lot of documentation about this particular pattern. However, I think it's possible to reason through some of the implications of following it, then decide if it makes sense in your environment.
In short, I would say that I believe it is entirely possible to have a web application subscribe to NServiceBus events. I don't think there would be any technical roadblocks, though I have to confess I have not actually tried it - if you have the time, by all means give it a shot. I just get the strong feeling that if one starts needing to do this, then there is probably a better overall design waiting to be discovered. Here's why I think this is so:
A relevant question to ask relates to your cache implementation. If it's a distributed or centralized model (think SQL, MongoDB, Memcached, etc), then the approach that #Adam Fyles suggests sounds like a good idea. You wouldn't need to notify every web application - updating your cache can be done by a single NServiceBus endpoint that's not part of your web application. In other words, every instance of your web application and the "cache-update" endpoint would access the same shared cache. If your cache is in-process however, like Microsoft's Web Cache, then of course you are left with a much trickier problem to solve unless you can lean on Eventual Consistency as was suggested.
If your web app subscribes to a particular NServiceBus event, then it becomes necessary for you to have a unique input queue for each instance of your web app. Since it's best practice to consider scale-out of your web app using a load balancer, that means that you could end up with N queues and at least N subscriptions, which is more to worry about than a constant number of subscriptions. Again, not a technical roadblock, just something that would make me raise an eyebrow.
The David Boike article that was linked raises an interesting point about app pools and how their lifetimes might be uncertain. Also, if you have multiple app pools running simultaneously for the same application on a server (a common scenario), they will all be trying to read from the same message queue, and there's no good way to determine which one will actually handle the message. More of then than not, that will matter. Sending commands, in contrast, does not require an input queue according to this post by Udi Dahan. This is why I think one-way commands sent by web apps are much more commonly seen in practice.
There's a lot to be said for the Single Responsibility Principle here. In general, I would say that if you can delegate the "expertise" of sending and receiving messages to an NServiceBus Host as much as possible, your overall architecture will be cleaner and more manageable. Through experience, I've found that if I treat my web farm as a single entity, i.e. strip away all acknowledgement of individual web server identity, that I tend to have less to worry about. Having each web server be an endpoint on the bus kind of breaks that notion, because now "which server" comes up again in the form of message queues.
Does this help clarify things?
An endpoint(NSB) can be created to subscribe to the published event and update the cache. The event shouldn't be published until the actual update is made so you don't get out of sync. The web app would continue to pull data from the cache on the next request, or you can build in some kind of delay.