Service Oriented Architecture - AMQP or HTTP - http

A little background.
Very big monolithic Django application. All components use the same database. We need to separate services so we can independently upgrade some parts of the system without affecting the rest.
We use RabbitMQ as a broker to Celery.
Right now we have two options:
HTTP Services using a REST interface.
JSONRPC over AMQP to a event loop service
My team is leaning towards HTTP because that's what they are familiar with but I think the advantages of using RPC over AMQP far outweigh it.
AMQP provides us with the capabilities to easily add in load balancing, and high availability, with guaranteed message deliveries.
Whereas with HTTP we have to create client HTTP wrappers to work with the REST interfaces, we have to put in a load balancer and set up that infrastructure in order to have HA etc.
With AMQP I can just spawn another instance of the service, it will connect to the same queue as the other instances and bam, HA and load balancing.
Am I missing something with my thoughts on AMQP?

At first,
REST, RPC - architecture patterns, AMQP - wire-level and HTTP - application protocol which run on top of TCP/IP
AMQP is a specific protocol when HTTP - general-purpose protocol, thus, HTTP has damn high overhead comparing to AMQP
AMQP nature is asynchronous where HTTP nature is synchronous
both REST and RPC use data serialization, which format is up to you and it depends of infrastructure. If you are using python everywhere I think you can use python native serialization - pickle which should be faster than JSON or any other formats.
both HTTP+REST and AMQP+RPC can run in heterogeneous and/or distributed environment
So if you are choosing what to use: HTTP+REST or AMQP+RPC, the answer is really subject of infrastructure complexity and resource usage. Without any specific requirements both solution will work fine, but i would rather make some abstraction to be able switch between them transparently.
You told that your team familiar with HTTP but not with AMQP. If development time is an important time you got an answer.
If you want to build HA infrastructure with minimal complexity I guess AMQP protocol is what you want.
I had an experience with both of them and advantages of RESTful services are:
they well-mapped on web interface
people are familiar with them
easy to debug (due to general purpose of HTTP)
easy provide API to third-party services.
Advantages of AMQP-based solution:
damn fast
flexible
cost-effective (in resources usage meaning)
Note, that you can provide RESTful API to third-party services on top of your AMQP-based API while REST is not a protocol but rather paradigm, but you should think about it building your AQMP RPC api. I have done it in this way to provide API to external third-party services and provide access to API on those part of infrastructure which run on old codebase or where it is not possible to add AMQP support.
If I am right your question is about how to better organize communication between different parts of your software, not how to provide an API to end-users.
If you have a high-load project RabbitMQ is damn good piece of software and you can easily add any number of workers which run on different machines. Also it has mirroring and clustering out of the box. And one more thing, RabbitMQ is build on top of Erlang OTP, which is high-reliable,stable platform ... (bla-bla-bla), it is good not only for marketing but for engineers too. I had an issue with RabbitMQ only once when nginx logs took all disc space on the same partition where RabbitMQ run.
UPD (May 2018):
Saurabh Bhoomkar posted a link to the MQ vs. HTTP article written by Arnold Shoon on June 7th, 2012, here's a copy of it:
I was going through my old files and came across my notes on MQ and thought I’d share some reasons to use MQ vs. HTTP:
If your consumer processes at a fixed rate (i.e. can’t handle floods to the HTTP server [bursts]) then using MQ provides the flexibility for the service to buffer the other requests vs. bogging it down.
Time independent processing and messaging exchange patterns — if the thread is performing a fire-and-forget, then MQ is better suited for that pattern vs. HTTP.
Long-lived processes are better suited for MQ as you can send a request and have a seperate thread listening for responses (note WS-Addressing allows HTTP to process in this manner but requires both endpoints to support that capability).
Loose coupling where one process can continue to do work even if the other process is not available vs. HTTP having to retry.
Request prioritization where more important messages can jump to the front of the queue.
XA transactions – MQ is fully XA compliant – HTTP is not.
Fault tolerance – MQ messages survive server or network failures – HTTP does not.
MQ provides for ‘assured’ delivery of messages once and only once, http does not.
MQ provides the ability to do message segmentation and message grouping for large messages – HTTP does not have that ability as it treats each transaction seperately.
MQ provides a pub/sub interface where-as HTTP is point-to-point.
UPD (Dec 2018):
As noticed by #Kevin in comments below, it's questionable that RabbitMQ scales better then RESTful servies. My original answer was based on simply adding more workers, which is just a part of scaling and as long as single AMQP broker capacity not exceeded, it is true, though after that it requires more advanced techniques like Highly Available (Mirrored) Queues which makes both HTTP and AMQP-based services have some non-trivial complexity to scale at infrastructure level.
After careful thinking I also removed that maintaining AMQP broker (RabbitMQ) is simpler than any HTTP server: original answer was written in Jun 2013 and a lot of changed since that time, but the main change was that I get more insight in both of approaches, so the best I can say now that "your mileage may vary".
Also note, that comparing both HTTP and AMQP is apple to oranges to some extent, so please, do not interpret this answer as the ultimate guidance to base your decision on but rather take it as one of sources or as a reference for your further researches to find out what exact solution will match your particular case.

The irony of the solution OP had to accept is, AMQP or other MQ solutions are often used to insulate callers from the inherent unreliability of HTTP-only services -- to provide some level of timeout & retry logic and message persistence so the caller doesn't have to implement its own HTTP insulation code. A very thin HTTP gateway or adapter layer over a reliable AMQP core, with option to go straight to AMQP using a more reliable client protocol like JSONRPC would often be the best solution for this scenario.

Your thoughts on AMQP are spot on!
Furthermore, since you are transitioning from a monolithic to a more distributed architecture, then adopting AMQP for communication between the services is more ideal for your use case. Here is why…
Communication via a REST interface and by extension HTTP is synchronous in nature — this synchronous nature of HTTP makes it a not-so-great option as the pattern of communication in a distributed architecture like the one you talk about. Why?
Imagine you have two services, service A and service B in that your Django application that communicate via REST API calls. This API calls usually play out this way: service A makes an http request to service B, waits idly for the response, and only proceeds to the next task after getting a response from service B. In essence, service A is blocked until it receives a response from service B.
This is problematic because one of the goals with microservices is to build small autonomous services that would always be available even if one or more services are down– No single point of failure. The fact that service A connects directly to service B and in fact, waits for some response, introduces a level of coupling that detracts from the intended autonomy of each service.
AMQP on the other hand is asynchronous in nature — this asynchronous nature of AMQP makes it great for use in your scenario and other like it.
If you go down the AMQP route, instead of service A making requests to service B directly, you can introduce an AMQP based MQ between these two services. Service A will add requests to the Message Queue. Service B then picks up the request and processes it at its own pace.
This approach decouples the two services and, by extension, makes them autonomous. This is true because:
If service B fails unexpectedly, service A will keep accepting requests and adding them to the queue as though nothing happened. The requests would always be in the queue for service B to process them when it’s back online.
If service A experiences a spike in traffic, service B won’t even notice because it only picks up requests from the Message Queues at its own pace
This approach also has the added benefit of being easy to scale— you can add more queues or create copies of service B to process more requests.
Lastly, service A does not have to wait for a response from service B, the end users don’t also have to wait for long— this leads to improved performance and, by extension, a better user experience.
Just in case you are considering moving from HTTP to AMQP in your distributed architecture and you are just not sure how to go about it, you can checkout this 7 parts beginner guide on message queues and microservices. It shows you how to use a message queue in a distributed architecture by walking you through a demo project.

Related

Using RabbitMQ over HTTP

I have to connect an old but critical software to RabbitMQ. The software doesn't support AMQP, but it can do HTTP Requests.
Does RabbitMQ support plain HTTP? Or should I use a "proxy" or "app" that actively transforms the HTTP Requests to AMQP 1.0 and pushes it to the RabbitMQ server?
https://www.rabbitmq.com/management.html
The management plugin supports a simple HTTP API to send and receive messages. This is primarily intended for diagnostic purposes but can be used for low volume messaging without reliable delivery.
As mentioned, it's designed for very low loads, but it may be usable. If you need higher loads, then by all means cast around for a library that does the job and create a proxy. Most languages will have something. I've personally created a lightweight API using Lumen and https://github.com/bschmitt/laravel-amqp to tie a few disparate services together in the past, and it seems to work very well.
It is possible not but really recommended depending on load. You have three options really, two of which are web socket based and one that seems like what you're looking for. I'd suggest starting with the rabbitmq docs.

using Message oriented middleware for communications within single web application realm

I wanted to check the viability of the design approach to use Message Oriented middle-ware (MOM) technology like JMS or ActiveMQ or RabbitMQ for handling asynchronous processing within single web application i.e. the publisher and the subscriber to the MOM server will be contained in the same web application.
The rationale behind this design is to offload some of the heavy duty processing functionality as a background asynchronous operation. The publisher in this case is the server side real-time web service method which need to respond back instantaneously (< than 1 sec) to the calling web service client and the publisher emits the message on MOM Topic. The subscriber is contained in the same web application as the publisher and the subscriber uses the message to asynchronously processes the complex slightly more time consuming (5-7 seconds) functionality.
With this design we can avoid having to spawn new threads within the application server container for handling the heavy duty complex processing functionality.
Does using MOM server in this case an overkill where the message publisher and message subscriber are contained in the same web server address space? From what I have read MOM tech is used mainly for inter-application communication and wanted to check if it is fine to use MOM for intra-application communication.
Let know your thoughts.
Thanks,
Perhaps you will not think it is a good example but in the JEE world using JMS for intra-application communication is quite common. Spawning new threads is considered a bad practive and message-driven beans make consuming messages relatively easy and you get transaction support. A compliant application server like GlassFish has JMS on board so production and consumption of messages does not involve socket communication as will be the case with a standalone ActiveMQ. But there might be reasons to have a standalone JMS, e.g. if there is a cluster of consumers and you want the active instances to take over work from the failed ones... but then the standalone JMS server becomes the single point of failure and now you want a cluster of them and so on.
One significant feature of JMS is (optional) message persistence. You may be concerned that the long-running task fails for some reason and the client's request will be lost. But persistent messages are much more expensive as they cause disk IO.
From what you've described I can tell that of the usual features of MOM (asynchronous processing, guaranteed delivery, order of messages) you only need asynchronous processing. So if guarantees are not important I would use some kind of a thread pool.

Enterprise Integration Patterns and HTTP (SOAP/REST)

Hi went through Enterprise Integration Patterns by Gregor Hohpe and Bobby Woolf.
http://www.eaipatterns.com/toc.html
I also went through Camel and Mule's compliance with these integration patterns -
http://www.mulesoft.org/documentation/display/current/Understanding+Enterprise+Integration+Patterns+Using+Mule
http://camel.apache.org/enterprise-integration-patterns.html
I see that both Mule and Camel allow applications to be deployed and accessed via webservices like SOAP or REST, SOAP being more RPC style. They allow massive integration support using opensource utilities like CXF and Jersey. In fact Mule also supports RMI endpoints - which will give remote method invokation capability as well which is a well-accepted form of Integration.
I understands ESBs are built around a Message Bus with additional support for other protocols however ESBs only comply to EIP and EIP is not just ESBs.
Question is why SOAP/REST or their transport protocol not considered as "Integration Styles" and which is Enterprise Integration so "Message Oriented"?
I am a novice compared to the great minds which designed these patterns but trying to understand the lopsided message-y nature of Integration patterns. I admit it isn't quite the QnA format of stack overflow but will request Mods to keep it alive for a while so that people can share their opinions.
As for SOAP, it would put it under the Integration Style "Remote Procedure Invocation", since it's pretty much what SOAP implements in reality (I won't consider the SOAP over JMS hybrids here with a potential to mix RPC with Messaging..).
REST is, interface wise, very different from SOAP in that it's resource driven instead of service driven. I would non the less group it under the "RPC" style since it's just another format of syncrhonous RPC calls.
I would, however, not put too much effort in theory of what EIP integration style a specific message pattern implements.
Look at a specific scenario at hands instead and use the EIP to model your specific integration.
I've seen integrations of file transfers that in realtiy implemented RPC patterns or SOAP services that in reality implemented messaging (although I don't really recommend do this).
A concrete example: consider the usage of a dedicated file upload service, which happends to be built using SOAP technolgy, which uploads a CSV file to a file area on a server, from where it's picked up by some other system. I would call this file based integration on a high level.
Another example is that Messaging systems sometimes are implemented using a shared database. Still the integration style using them is messaging, not "Shared Database".
Think about how your integration should work on a high level, then apply the various protocols to do the grunt work.

Difference between RPC system and Enterprise Service Bus

What's the difference between an RPC System, like Twitter's Finagle, and an Enterprise Service Bus, like Mule? What kind of problems are each of them good at solving?
I will try to answer this as a soft explanation, rather than a technical breakdown of features:
One may say that Finagle is a asynchronous messaging library that allows services to connect to one another freely (not tightly tied to architectural system integration standards) while supporting multiple protocols.
From the Finagle website:
Finagle is a network stack for the JVM that you can use to build asynchronous Remote Procedure Call (RPC) clients and servers in Java, Scala, or any JVM-hosted language. Finagle provides a rich set of protocol-independent tools.
An enterprise service bus (ESB), on the other hand, is a asynchronous messaging architecture which typically adheres to industry standards and protocols. An ESB promotes a system where message flow is controlled and routed between systems, and where servers can register their service and clients can register what messages they are interested in. The services offered by servers can be registered and versioned.
You will typically find Finagle being used somewhere between a website and backend services. But, you will typically find an ESB inside a large corporate, where it's responsible to integrating systems like finance, support, sales, etc.
Both solutions offer asynchronous messaging and buffering to various extends, but are not designed to solve the same problem. For ESB, you would probably think 'strict, enterprise', but for Finagle you would probably think 'flexible, web'.
Hope this helps
Update:
Not quite related, but if you are exploring this space, I would look at Kafka these days.
RPC and ESB are two architectural patterns. While RPC is usually a request-reply and synchronous in nature, an ESB works on the concept of messaging (simplified explanation) and of asynchronous in nature. ESB is the foundation for any SOA implementation. ESB enables loose coupling thus promoting true agility. A simplified example from implementation perspective is as follows:
A web service is a typical RPC. The consumer is tightly bound to the producer and any change in the contract on the producer side, will require changes on the consumer side.
In ESB, the service consumer doesn't invoke the service producer directly. It just puts the message in the bus and based on the rules (mediator), appropriate service producer will handle it. If the service consumer and service producer talk in different formats, ESB provides the facility to do the transformation (like formatting the zipcode as xxxxx-xxxx, splitting the name into first name and last name, etc.).
This is just simplified explanation. For more information, please check the following links:
Why do developers need an Enterprise Service Bus?
Enterprise Service Bus
Both solve completely different problems:
An ESB is an intermediation middleware that provides message transformation and routing, protocol adaptation and other value-add operations (like orchestration, guaranteed delivery, idempotent filtering...). It sits in-between your service consumers and providers and transparently (ie without any change in consumer or provider) provides its different features.
An RPC system provides client and server technologies for performing RPC operations.

How to use ServiceStack Redis in a web application to take advantage of pub / sub paradigm

I am interested in the Pub/Sub paradigm in order to provide a notifications system (ie : like Facebook), especially in a web application which has publishers (in several web applications on the same web server IIS) and one or more subscribers, in charge to display on the web the notifications for the front user.
I found out Redis, it seems to be a great server which provides interesting features : Caching (like Memcached) , Pub/Sub, queue.
Unfortunately, I didn't find any examples in a web context (ASP.NET, with Ajax/jQuery), except WebSockets and NodeJS but I don't want to use those ones (too early). I guess I need a process (subscriber) which receives messages from the publishers but I don't see how to do that in a web application (pub/sub works fine with unit tests).
EDIT : we currently use .NET (ASP.NET Forms) and try out ServiceStack.Redis library (http://www.servicestack.net/)
Actually Redis Pub/Sub handles this scenario quite well, as Redis is an async non-blocking server it can hold many connections cheaply and it scales well.
Salvatore (aka Mr Redis :) describes the O(1) time complexity of Publish and Subscribe operations:
You can consider the work of
subscribing/unsubscribing as a
constant time operation, O(1) for both
subscribing and unsubscribing
(actually PSUBSCRIBE does more work
than this if you are subscribed
already to many patterns with the
same client).
...
About memory, it is similar or smaller
than the one used by a key, so you
should not have problems to subscribe
to millions of channels even in a
small server.
So Redis is more than capable and designed for this scenario, but the problem as Tom pointed out in order to maintain a persistent connection users will need long-running connections (aka http-push / long-poll) and each active user will take its own thread. Holding a thread isn't great for scalability and technologically you would be better off using a non-blocking http server like Manos de Mono or node.js which are both async and non-blocking and can handle this scenario. Note: WebSockets is more efficient for real-time notifications over HTTP, so ideally you would use that if the users browser supports it and fallback to regular HTTP if they don't (or fallback to use Flash for WebSockets on the client).
So it's not the Redis or its Pub/Sub that doesn't scale here, it's the number of concurrent connections that a threaded HTTP server like IIS or Apache that is the limit, with that said you can still support a fair amount of concurrent users with IIS (this post suggests 3000) and since IIS is the bottleneck and not Redis you can easily just add an extra IIS server into the mix and distribute the load.
For this application, I would strongly suggest using SignalR, which is a .Net framework that enables real-time push to connected clients.
Redis publish/subscribe is not designed for this scenario - it requires a persistent connection to redis, which you have if you are writing a worker process but not when you are working with stateless web requests.
A publish/subscribe system that works for end users over http takes a little more work, but not too much - the simplest approach is to use a sorted set for each channel and record the time a user last got notifications. You could also do it with a list recording subscribers for each channel and write to the inbox list of each of those users whenever a notification is added.
With either of those methods a user can retrieve their new notifications very quickly. It will be a form of polling rather than true push notifications, but you aren't really going to get away from that due to the nature of http.
Technically you could use redis pub/sub with long-running http connections, but if every user needs their own thread with active redis and http connections, scalability won't be very good.

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