We're using MQXR for MQTT and the scenario is this.
Many clients publish with topic AAA/BBB/clientid/otherinfo
The ISB (ACEv12) subscribes to AAA/BBB/+/+ in order to process all such publications.
If Client01 publishes with AAA/BBB/client01/otherinfo,
Is there any way we can prevent Client02 subscribing to AAA/BBB/+/+ and receiving CLient01's publications.
Related
My team wants to build a chat app and so we are researching about all the available technologies available at our arsenal. I am concerned about XMPP. So i was reading the Oreilly's "XMPP: The definitive guide", and came across these lines and i quote
In XMPP, messages are delivered as fast as possible over the network. Let’s say that Alice sends a message from her new account on the wonderland.lit server to her sister on the realworld.lit server. Her client effectively “uploads” the message to wonderland.lit by pushing a message stanza over a client-to-server XML stream. The wonderland.lit server then stamps a from address on the stanza and checks the to ad- dress in order to see how the stanza needs to be handled (without performing any deep packet inspection or XML parsing, since that would eat into the delivery time). Seeing that the message stanza is bound for the realworld.lit server, the wonderland.lit server then immediately routes the message to realworld.lit over a server-to-server XML stream (with no intermediate hops).Page 45
Like email, but unlike the Web, XMPP systems involve a great deal of inter-domain connections. However, when you send an XMPP message to one of your contacts at a different domain, your client connects to your “home” server, which then connects directly to your contact’s server without intermediate hops (see Figure 2-4).Page 13
Can anyone please make me understand how can there be no intermediate hops(unlike email).
E-Mail (SMTP) also has no intermediate hops. I assume you confuse the application OSI layer, where XMPP, SMTP and so on live, with the network layer (IP).
I am developing a cloud-based back-end HTTP service that will be exposed for integration with some on-prem systems. Client systems are custom-made by external vendors, they are back-end systems with their own databases. These systems are deployed in companies of our clients, we don't have access to them and don't control them. We are providing vendors our API specifications and they implement client code.
The data format which my service exchanges with clients is based on XML and follows a certain standard. Vendors implement their client systems in different programming languages and new vendors will appear over time. I want as many of clients to be able to work with my service as possible.
Most of my service API is REST-like: it receives HTTP requests, processes them, and sends back HTTP responses.
Additionally, my service accumulates some data state changes and needs to regularly push this data to client systems. Because of the below limitations, this use-case does not seem to fit the traditional client-server HTTP request-response model.
Due to the nature of the business, the client systems cannot afford to have their own HTTP API endpoints open and so my service can't establish an outbound HTTP connection to them for delivering data state notifications. I.e. use of WebHooks is not an option.
At the same time my service stakeholders need recorded acknowledgment that data state notifications were accepted by the client system, therefore fire-and-forget systems like Amazon SNS don't seem to apply.
I was considering few approaches to this problem but I'm not sure if I'm missing some simple options or some technologies that already address the problem. Hence this question.
The question text updated: options moved to my own answer.
Related questions and resources
REST API with active push notifications from server to client
Is ReST over websockets possible?
Can we use Web-Sockets for Communication between Microservices?
What is difference between grpc and websocket? Which one is more suitable for bidirectional streaming connection?
https://www.smashingmagazine.com/2018/02/sse-websockets-data-flow-http2/
I eventually found answers to my question myself and with some help from my team. For people like me who come here with a question "how do I arrange notifications delivery from my service to its clients" here's an overview of available options.
WebHooks
This is when the client opens endpoint iself. The service calls client's endpoints whenever the service has some notification to deliver. This way the client also acts as a service and so the client and the service swap roles during notification delivery.
With WebHooks the client must be able to open the endpoint with a well-known address. This is complicated if the client's software is working behind NAT or firewall or if the client is Browser or a mobile application.
The service needs to be prepared that client's WebHook endpoints may not always be online and may not always be healthy.
Another issue is flow control: special measures should be taken in the service not to overwhelm the client with high volume of connections, requests and/or data.
Polling
In this case the client is still the client and the service is still the service, unlike WebHooks. The service offers an endpoint where the client can continuously request new notifications. The advantage of this option is that it does not change connection direction and request-response direction and so it works well with HTTP-based services.
The caveat is that polling API should have some rich semantics to be reasonably reliable if loss of notifications is not acceptable. Good examples could be Google Pub/Sub pull and Amazon SQS.
Here are few considerations:
Receiving and deleting notification should be separate operations. Otherwise, if the service deletes notification just before giving it to the client and the client fails to process the notification, the notification will be lost forever. When deletion operation is separate from receiving, the client is forced to do deletion explicitly which normally happens after successful processing.
In case the client received the notification and has not yet deleted it, it might be undesirable to let the same notification to be processed by some other actor (perhaps a concurrent process of the same client). Therefore the notification must be hidden from receiving after it was first received.
In case the client failed to delete the notification in reasonable time because of error, network loss or process crash, the service has to make notification visible for receiving again. This is retry mechanism which allows the notification to be ultimately processed.
In case the service has no notifications to deliver, it should block the client's call for some time by not delivering empty response immediately. Otherwise, if the client polls in a loop and response comes immediately, the loop iteration will be short and clients will make excessive requests to the service increasing network, parsing load and requests counts. A nice-to have feature is for the service to unblock and respond to the client as soon as some notification appears for delivery. This is sometimes called "long polling".
HTTP Server-sent Events
With HTTP Server-sent Events the client opens HTTP connection and sends a request to the service, then the service can send multiple events (notifications) instead of a single response. The connection is long-living and the service can send events as soon as they are ready.
The downside is that the communication is one-way, the client has no way to inform the service if it successfully processed the event. Because this feedback is absent, it may be difficult for the service to control the rate of events to prevent overwhelming the client.
WebSockets
WebSockets were created to enable arbitrary two-way communication and so this is viable option for the service to send notifications to the client. The client can also send processing confirmation back to the service.
WebSockets have been around for a while and should be supported by many frameworks and languages. WebSocket connection begins as HTTP 1.1 connection and so WebSockets over HTTPS should be supported by many load balancers and reverse proxies.
WebSockets are often used with browsers and mobile clients and more rarely in service-to-service communication.
gRPC
gRPC is similar to WebSockets in a way that it enables arbitrary two-way communication. The advantage of gRPC is that it is centered around protocol and message format definition files. These files are used for code generation that is essential for client and service developers.
gRPC is used for service-to-service communication plus it is supported for Browser clients with grpc-web.
gRPC is supported on multiple popular programming languages and platforms, yet the support is narrower than for HTTP.
gRPC works on top of HTTP/2 which might cause difficulties with reverse proxies and load balancers around things like TLS termination.
Message queue (PubSub)
Finally, the service and the client can use a message queue as a delivery mechanism for notifications. The service puts notifications on the queue and the client receives them from the queue. A queue can be provided by one of many systems like RabbitMQ, Kafka, Celery, Google PubSub, Amazon SQS, etc. There's a wide choice of queuing systems with different properties and choosing one is a challenge on its own. The queue can also be emulated by using database for example.
It has to be decided between the service and the client who owns the queue, i.e. who pays for it. Either way, the queuing system and the queue should be available whenever the service needs to push notifications to it otherwise notifications will be lost (unless the service buffers them internally, with another queue).
Queues are typically used for service-to-service communication but some technologies also allow Browsers as clients.
It is worth noting that an "implicit" internal queue might be used on the service side in other options listed above. One reason is to prevent loss of notifications when there's no client available to receive them. There are many other good reasons like letting clients handle notifications at their pace, allowing to maximize processing throughput, allowing to handle spiky traffic with fixed capacity.
In this option the queue is used "explicitly" as delivery mechanism, i.e. the service does not put any other mechanism (HTTP, gRPC or WebSocket endpoint) in front of the queue and lets the client receive notifications from the queue directly.
Message passing is popular in organizing microservice communications.
Common considerations
In all options it has to be decided whether the loss of notifications is tolerable for the service, the client and the business. Some simpler technical choices are possible if it is ok to lose notifications due to processing errors, unavailability, etc.
It is valuable to have a monitoring for client processing errors from the service side. This way service owners know which clients are more broken without having to ask them.
If the queue is used (implicitly or explicitly) it is valuable to monitor the length of the queue and the age of the oldest notifications. It lets service owners judge how stale data may be in the client.
In case the delivery of notification is organized in a way that notification gets deleted only after a successful processing by the client, the same notification could be stuck in infinite receive loop when the client fails to process it. Such notification is sometimes called "poison message". Poison messages should be removed by the service or the queuing system to prevent clients being stuck in infinite loop. A common practice is to move poison messages to a special place, sometimes called "dead letter queue", for the later human intervention.
One alternative to WebSockets for the problem of server→client notifications with acks from the client seems to be gRPC.
It supports bidirectional communication between server and client in bidirectional streaming mode.
It works on top of HTTP 2.0. In our case functioning over HTTP ports is essential.
There are client and server generators for multiple popular languages and platforms. A nice thing is that I can share protocol definition file with vendors and can be sure my service and their clients will talk the same language.
Drawbacks:
Not as many languages and platforms are supported compared to HTTP. Alternative C from the question will be more accessible if based on HTTP 1.1. WebSockets have also been around longer and I would expect broader adoption than gRPC.
Not all gRPC implementations seem to currently support XML format for data according to FAQ. In order to transport XML my service and its clients will have to transfer XML message as byte arrays inside of gRPC protobuf message.
With gRPC, TLS termination cannot be done on general-purpose HTTP 1.1 load balancer. An application-layer HTTP/2-aware reverse proxy (load balancer) such as Traefik is required.
There are approaches like this and this to allow HTTP 1.1 compatible protocols but they have their own restrictions like limited amount of available clients or necessary client customizations.
We have an already running MQTT setup for communication between smart home devices and remote server, for remotely controlling the devices. Now we want to integrate our devices with Google Home and Alexa. These two use HTTP for communication with third party device clouds.
I have implemented this for Google Home and after receiving the request to device cloud, the request is converted to MQTT. This MQTT request is then sent to smart home device. The device cloud waits for few seconds to receive reply from smart home device. If no reply is received within predefined time, it then sends failure HTTP response to Google Home else it sends the received reply.
Is there a better way to handle this? Since this is a commercial project I want to get this implemented in the correct way.
Any help will be appreciated.
Thanks
We're using AWS IoT and I think it's a good way to handle IoT issues, below are some features of it:
Certification, each device is a thing and attached its own policy, it's security
Shadow, it's device's current state JSON document, The Device Shadow service acts as an intermediary, allowing devices and
applications to retrieve and update a device's shadow
Serverless, we use lambda to build skill and servers, it's flexible
Rule, we use it to intercept MQTT messages so that we can report device's state changing to Google and Alexa. BTW, to Google, Report State implementation has become mandatory for all partners launch & certify.
You can choose either MQTT or HTTP
It’s time-consuming but totally worth it! We've sold 8k+ products, so far so good.
At least Google Home doesn't really require synchronous operation there. Once you get the EXECUTE-intent via their API, you just need to sent that to your device (but it doesn't necessarily has to report its state back).
Once its state changes, you either store it for further QUERY-intents or provide this data to the Google Homegraph server using the "Report State" interface.
I'm developing gBridge.io as a project providing quite similar functionality (but for another target group). There, it is strictly split as described: A HTTP endpoint listener reacts to commands from Google Home and sends it to a cache, where it is eventually sent to the matching MQTT topic. Another worker is listening to MQTT topics from the users and storing there information in the cache, so it can be sent back to Google once required.
I am connecting clients to our servers using SignalR (same as socketio websockets) so I can send them notifications for activities in the system. It is NOT a chat application. So messages when sent will be for a particular user only.
These clients are connected on multiple web servers and these servers are subscribed to a redis backplane. Like mentioned in this article - http://www.asp.net/signalr/overview/performance/scaleout-in-signalr
My question here is for this kind of notification system, in redis pubsub - should i have multiple channels - one per user in the backplane and the app server listening to each users notification channel. Or have one channel for all these notifications and the app server parses each message and figure out if they have that userid connected and send the message to that user.
Based on the little I know about the details of your application, I think you should create channels/lists in the backplane/Redis on a per-client basis. This would be cheap in Redis, and it gives the server side process handling a specific client only the notifications they are supposed to have.
This should save your application iteration or handling of irrelevant data, which could have implications of performance at scale, and if security is at all a concern (don't know what the domain or application is), then it would be best to never retrieve/receive information unnecessarily that wasn't intended for a particular client.
I will pose a final question and some thoughts which I think support my opinion. If you don't do this on a client-by-client basis, then how will you handle when the user is not present to receive a message? You would either have to throw that message away, or have the application server handle that un-received message for every single client, every time they poll or otherwise receive information from Redis. This could really add up. Although, without knowing the details of the application, I'm not sure if this paragraph is relevant.
At the end of the day, though approaches and opinions may vary depending on the application, I would think about the architecture in terms of the entities and you outlined. You have clients, and they send and receive messages directly to one another. Those messages should be associated with each of the parties involved somehow, and they should be stored in a manner that will be efficient for lookup and which helps define/outline the structure of the application.
Hope my 2c helps!
I am reading a bit about the message oriented middleware for SOA. The question which is not clear to me is difference between Instant messaging and Messaging service. Could someone help me to understand this ?
Instant messaging is communication between humans using text messages.
Messaging service is event communication between machines using messages. Those messages are typically packed with information about an event that needs to be processed somehow. There are some pattern commonly implemented by messaging services.
Publish/Subscribe - A publisher sends events to multiple subscribers that can decide what events they want to subscribe to.
Message queue - Messages are sent to a queue used to hold events in a buffer. The messages awaits a consumer to consume messages and process the events. This implements a decoupling in time between systems as well as workload balancing.
Message events typically hold data in some machine readable format, such as XML, JSON, EDIFACT etc.
Another way to look at it: Messaging services can be used to build instant messaging software. The XMPP protocol is an example of that.