Google C2DM server side performance - performance

My application sends notifications to the customers in bulks. For example at 8am every day a back-end systems generates notifications for 50K customers, and those notifications should be delivered in a reasonable time.
During performance testing I've discovered that sending a single push request to C2DM server takes about 400 millis which is far too long. I was told that a production quota may provide better performance, but will it reduce to 10 millis?
Besides, I need C2DM performance marks before going to production because it may affect the implementation - sending the requests from multiple threads, using asynchronous http client etc.
Does anyone knows about the C2DM server benchmarks or any performance-related server implementation guidelines?
Thanks,
Artem

I use appengine, which makes the delivery of a newsletter to 1 million users a very painful task. Mostly because the c2dm API doesn't support multiple users delivery, which makes it necessary to create one http request per user.
The time to the c2dm server to respond will depend on your latency from the google servers. In my case (appengine) it's very small.
My advice to you is to create as many threads as possible, since the threads will be waiting for the IO over the network. If you every pass the quota, you can always ask permission for more traffic.

Related

Should a websocket connection be general or specific?

Should a websocket connection be general or specific?
e.g. If I was building a stock trading system, I'd likely to have real time stock prices, real time trade information, real time updates to the order book, perhaps real time chat to enable traders to collude and manipulate the market. Should I have one websocket to handle all the above data flow or is it better to have several websocket to handle different topics?
It all depends. Let's look at your options, assuming your stock trader, your chat, and your order book are built as separate servers/micro-services.
One WebSocket for each server
You can have each server running their own WebSocket server, streaming events relevant to that server.
Pros
It is a simple approach. Each server is independent.
Cons
Scales poorly. The number of open TCP connections will come at a price as the number of concurrent users increases. Increased complexity when you need to replicate the servers for redundancy, as all replicas needs to broadcast the same events. You also have to build your own fallback for recovering from client data going stale due to lost WebSocket connection. Need to create event handlers on the client for each type of event. Might have to add version handling to prevent data races if initial data is fetched over HTTP, while events are sent on the separate WebSocket connection.
Publish/Subscribe event streaming
There are many publish/subscribe solutions available, such as Pusher, PubNub or SocketCluster. The idea is often that your servers publish events on a topic/subject to a message queue, which is listened to by WebSocket servers that forwards the events to the connected clients.
Pros
Scales more easily. The server only needs to send one message, while you can add more WebSocket servers as the number of concurrent users increases.
Cons
You most likely still have to handle recovery from events lost during disconnect. Still might require versioning to handle data races. And still need to write handlers for each type of event.
Realtime API gateway
This part is more shameless, as it covers Resgate, an open source project I've been involved in myself. But it also applies to solutions such as Firebase. With the term "realtime API gateway", I mean an API gateway that not only handles HTTP requests, but operates bidirectionally over WebSocket as well.
With web clients, you are seldom interested in events - you are interested in change of state. Events are just means to either describe the changes. By fetching the data through a gateway, it can keep track on which resources the client is currently interested in. It will then keep the client up to date for as long as the data is being used.
Pros
Scales well. Client requires no custom code for event handling, as the system updates the client data for you. Handles recovery from lost connections. No data races. Simple to work with.
Cons
Primarily for client rendered web sites (using React, Vue, Angular, etc), as it works poorly with sites with server-rendered pages. Harder to apply to already existing HTTP API's.

When does server-side push technology become necessary?

Right now, I'm pulling some 10 kB sensor data from a server via a single plain old HTTP request every 5 minutes. In the future, I might want to increase the frequency to make one request every 30 seconds.
When does server-side push technology become necessary?
Obviously, the precise answer depends on the server - but what's the general approach to the issue? Using push technology definitely seems advantageous. However, the would have to be some major code rewriting. Additionally, I feel like 30 seconds is still a long enough interval and the overhead (e.g. cookies in HTTP headers, ...) shouldn't cause too much surplus traffic.
Push technology is useful for any of the following situations:
You need the client to have low latency when there is new data (e.g. not wait for the next polling interval, but to find out within seconds or even ms when there is new data).
When you're interested in minimizing overhead on your server or bandwidth usage or power consumption on the client, yet the client needs to know in a fairly timely fashion when new data is available. Doing frequent polling from a mobile client chews up bandwidth and battery.
When data availability is unpredictable and a regular polling would usually result in no data being available. If every poll results in data being collected and the timeliness of a moderate polling interval is sufficient for your application, then there are not big gains by switching to a push notification mechanism. When the poll usually results in an empty request, that's when polling becomes very inefficient.
If you're sending data regularly and you are trying to minimize bandwidth. A single webSocket packet is way more efficient than an HTTP request as the HTTP request includes headers, cookies, etc... that need not be send with a single webSocket packet once the webSocket connection has already been established.
Some other references on the topic:
What are the pitfalls of using Websockets in place of RESTful HTTP?
Ajax vs Socket.io
websocket vs rest API for real time data?
Cordova: Sockets, PushNotifications, or repeatedly polling server?
HTML5 WebSocket: A Quantum Leap in Scalability for the Web

Prioritizing specific endpoints on Heroku to skip / spend less time in request queue

Our API service has several endpoints and one of them is critical for the user experience because it directly affects the page load time.
Is there a way to priotize calls to GET /api/priority_endpoint over GET /api/regular_endpoint so the prioritized requests spend less time in the requests queue?
Thanks...
No, this is not possible. All requests are sent to a random dyno as soon as they're within the router.
The only way you could do this would be by writing your own request queue in your app's code.

Progress notifications from HTTP/REST service

I'm working on a web application that submits tasks to a master/worker system that farms out the tasks to any of a series of worker instances. The work queue master runs as a separate process (on a separate machine altogether) and tasks are submitted to the master via HTTP/REST requests. Once tasks are submitted to the work queue, client applications can submit another HTTP request to get status information about tasks.
For my web application, I'd like it to provide some sort of progress bar view that gives the user some indication of how far along task processing has come. The obvious way to implement this would be an AJAX progress meter widget that periodically polls the work queue for status on the tasks that have been submitted. My question is, is there a better way to accomplish this without the frequent polling?
I've considered having the client web application open up a server socket on which it could listen for notifications from the work master. Another similar thought I've had is to use XMPP or a similar protocol for the status notifications. (Of course, the master/worker system would need to be updated to provide notifications either way but I own the code for that so can make any necessary updates myself.)
Any thoughts on the best way to set up a notification system like this? Is the extra effort involved worth it, or is the simple polling solution the way to go?
Polling
The client keeps polling the server to get the status of the response.
Pros
Being really RESTful means cacheable and scaleable.
Cons
Not the best responsiveness if you do not want to poll your server too much.
Persistent connection
The server does not close its HTTP connection with the client until the response is complete. The server can send intermediate status through this connection using HTTP multiparts.
Comet is the most famous framework to implement this behaviour.
Pros
Best responsiveness, almost real-time notifications from the server.
Cons
Connection limit is limited on a web server, keeping a connection open for too long might, at best load your server, at worst open the server to Denial of Service attacks.
Client as a server
Make the server post status updates and the response to the client as if it were another RESTful application.
Pros
Best of every worlds, no resources are wasted waiting for the response, either on the server or on the client side.
Cons
You need a full HTTP server and web application stack on the client
Firewalls and routers with their default "no incoming connections at all" will get in the way.
Feel free to edit to add your thoughts or a new method!
I guess it depends on a few factors
How accurate the feedback can be (1 percent, 5 percent, 50 percent) Accurate feedback makes it worth pursuing some kind of progress bar and comet style push. If you can only say "Busy... hold on... almost there... done" then a simple ajax "are we there yet" poll is certainly easier to code.
How timely the Done message has to be seen by the client
How long each task takes (1 second, 10 seconds, 10 minutes)
1 second makes it a bit moot. 10 seconds makes it worth it. 10 minutes means you're better off suggesting the user goes for a coffee break :-)
How many concurrent requests there will be
Unless you've got a "special" server, live push style systems tend to eat connections and you'll be maxed out pretty quickly. Having to throw more webservers in for a fancy progress bar might hurt the budget.
I've got some sample code on 871184 that shows a hand rolled "forever frame" which seems to work out well. The project I developed that for isn't hammered all that hard though, the operations take a few seconds and we can give pretty accurate percent. The code uses asp.net and jquery, but the general techniques will work with any server and javascript framework.
edit As John points out, status reporting probably isn't the job of the RESTful service. But there's nothing that says you can't open an iframe on the client that hooks to a page on the server that polls the service. Theory says the server and the service will at least be closer to one another :-)
Look into Comet. You make a single request to the server and the server blocks and holds the connection open until an update in status occurs. Once that happens the response is sent and committed. The browser receives this response, handles it and immediately re-requests the same URL. The effect is that of events being pushed to the browser. There are pros and cons and it might not be appropriate for all use cases but would provide the most timely status updates.
My opinion is to stick with the polling solution, but you might be interested in this Wikipedia article on HTTP Push technologies.
REST depends on HTTP, which is a request/response protocol. I don't think you're going to get a pure HTTP server calling the client back with status.
Besides, status reporting isn't the job of the service. It's up to the client to decide when, or if, it wants status reported.
One approach I have used is:
When the job is posted to the server, the server responds back a pubnub-channel id (one could alternatively use Google's PUB-SUB kind of service).
The client on browser subscribes to that channel and starts listening for messages.
The worker/task server publishes status on that pubnub channel to update the progress.
On receiving messages on the subscribed pubnub-channel, the client updates the web UI.
You could also use self-refreshing iframe, but AJAX call is much better. I don't think there is any other way.
PS: If you would open a socket from client, that wouldn't change much - PHP browser would show the page as still "loading", which is not very user-friendly. (assuming you would push or flush buffer to have other things displayed before)

Push or Pull for a near real time automation server?

We are currently developing a server whereby a client requests interest in changes to specific data elements and when that data changes the server pushes the data back to the client. There has vigorous debate at work about whether or not it would be better for the client to poll for this data.
What is considered to be the ideal method, in terms of performance, scalability and network load, of data transfer in a near real time environment?
Update:
Here's a Link that gives some food for thought with regards to UI updates.
There's probably no ideal method for every situation, but push is usually better and used more often. It allows to optimize server caching and data transfers, which helps performance and scalability, and cuts network traffic a bit by avoiding client requests and empty responses. It can be important advantage for a server to operate in it's own pace and supply clients with data when it is ready.
Industry standarts - such as OPC, GID - support both. Server pushes updates to subscribed clients, but client can pull some rarely used data out without bothering with subscription.
As long as the client initiates the connection (to get passed firewall and NAT problems) either way is fine.
If there are several different type of data you need to send, you might want to have the client specify which type he wants, but this is only needed once per connection. Then you can have the server continue to send updates as it has them.
It would be less network traffic to have the server send updates without the client continually asking for updates.
What do you have on the client's side? Many firewalls allow outgoing requests but block incoming requests. In other words, pull may be your only option if you are crossing the Internet unless you are sending out e-mails.

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