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If a microservice is not responding due to any of the following reasons, how do we ensure the overall application availability?
Microservice crashes
Network partition happens or other transient error happens
Service is overloaded
other microservice calling the same microservice
If you have services calling one another, that doesn't sound like they are using Kafka, then.
If you have applications sending to Kafka, then those messages are persisted to the broker logs. Any downstream consumer can stay offline for as long as the messages are (configurably) retained in the Kafka cluster.
Ultimately, when using Kafka (any persistent message queue), services do not know about one another, and only the brokers.
You should avoid coupling in microservices architecture as much as possible.
In your case, I guess you are sending a read-only request to a microservice to get a data but called microservice is not up. So caller microservice can't do its job.
To avoid this kind of situations you can use data duplication technique. In this technique microservice which is the source of the data send insert, update, delete information about the data as an event with using a broker like Kafka. Then other microservices which also needs to this data get the data from corresponding topic. By this way, you don't need to make a read-only request to get the data. Then you will avoid coupling between microservices.
What will happen in that case?
In this case, if there is no redundancy for microservice which is called, caller microservice will get an exception like "No instances available for CalledMicroservice"
We are using microservice architecture in our project. We deploy each service to a cluster by using Kubernetes. Services are developed by using Java programming language and Spring Boot framework.Three replicas exist for each service. Services communicate with each other using only events. RabbitMQ is used as a message queue. One of the services is used to send an email. The details of an email are provided by another service with an event. When a SendingEmail event is published by a service, three replicas of email service consume the event and the same email is sent three times.
How can I prevent that sending emails by other two services?
I think it depends on how you work with Rabbit MQ.
You can configure the rabbit mq with one queue for these events and make spring boot applications that represent the sending servers to be "Competing" Consumers.
If you configure it like this, only one replica will get an event at a time and only if it fails to process it the message will return to the queue and will become available to other consumers.
From what you've described all of them are getting the message, so it works like a pub-sub (which is also a possible way of work with rabbit mq, its just not good in this case).
I'm fairly new to Microservices...
I've taken an interest in learning more about two main patterns like service discovery and circuit breaker and I have conducted research on how these could be implemented.
As a Java Developer, I'm using Spring Boot. From what I understand, these patterns are useful if microservices communicate via HTTP.
One of the topics I've recently seen is the importance of event-driven architecture, which makes use of an event message bus that services would use to send messages to for other services, which subscribe to the bus
and process the message.
Given this event-driven nature, how can service-discovery and circuit breakers be achieved/implemented, given that these are commonly applicable for services communicating via HTTP?
From what I understand, these patterns are useful if microservices communicate via HTTP.
It is irrelevant that the communication is HTTP. The circuit breaker is useful in prevention of cascade failures that are more probable to occur in the architectures that use a synchronous communication style.
Event-driven architectures are in general asynchronous so cascade failure is less probable to occur.
Service discovery is used in order for the microservices to discover each other but in Event-driven architectures microservices communicate only to the messaging infrastructure (i.e. the Event store in Event sourcing) so discoverability could be used only at the infrastructure level.
I. circuit breaker and service discovery are patterns. When we say Pattern they can be implemented with any programming language. 'HTTP' protocol is for transfer of data.
circuit breaker can be implemented within Java. You can find many implementations (of course, with varying capabilities and interpretation of pattern) on github.
Some of the well-known, built for purpose implementations are :
Hysterix from NetflixOSS For using Hysterix: You can follow Spring Guide - Spring Circuit Breaker
Apache Polygene - which has example of JMX circuit breaker
Resilience4j
II. About,
Given this event-driven nature, how can service-discovery and circuit
breakers be achieved/ implemented, given that these are commonly
applicable for services communicating via HTTP?
It seems you need bit more research on topic of Microservices interactions.
There are two ways to which microservices interactions are possible. You have to choose one over the other. You can/should not mix both.
Orchestration: An interaction style that has an intelligent controller that dispatches events to processes. Please note the word 'processes' which is representing business processes here. Orchestration style was preferred in old SOA implementations as well.
Choreography: An interaction style that allows processes to subscribe to events and handle them independently or through integration with other processes without the need for a central controller.
These topics are greatly covered under
Orchestration vs. Choreography
Need of Service Discovery:
With choreography, two or more microservices can coordinate their activities and processes to share information and value.
But, these microservices may not be aware of each other's existence i.e. There are no hard-coded or service references of dependency endpoints configured or coded into them. Why we do this, is for avoiding any kind of coupling between services. So, the question remains is how one service, if required will find another services' endpoint? This is where service discovery mechanism is used.
Another perspective is, with microservices deployment with containers etc, microservices endpoints will not be even tied to any hosts etc. [due to spin-up and spin-down of containers]. So, for this case as well, we need 'service discovery' mechanism.
So, In service discovery mechanism, a centralized service discovery tool helps services to register themselves and to discover other services via a DNS or HTTP interface.
Service discovery can be implemented with
1. Server-side service discovery
2. Client Side service discovery
Consul,etcd, zookeeper are some of the key-tools names within service discovery space.
Spring Boot integrates well with Spring Cloud. And Spring Cloud provides Eureka (for service discovery) as well as Hystrix (for circuit breaker patterns). Also, Spring Cloud Stream to provide event driven patterns
Very easy to use with Spring Boot
I believe there is a misunderstanding in the question in that you assume that event-driven architectures cannot be implemented on top of HTTP.
An event-driven architecture may be implemented in many different ways and (when the architecture is that of a distributed system), on top of many different protocols.
It can be implemented using a message broker (i.e. Kafka, RabbitMQ, ActiveMQ, etc) as you suggested it too. However, this is just a choice and certainly not the only way to do it.
For example, the seminal book Building Microservices by Sam Newman, in Chapter 4: Integration, under Implementing Asynchronous Event-Based Collaboration says:
“Another approach is to try to use HTTP as a way of propagating
events. ATOM is a REST-compliant specification that defines semantics
(among other things) for publishing feeds of resources. Many client
libraries exist that allow us to create and consume these feeds. So
our customer service could just publish an event to such a feed when
our customer service changes. Our consumers just poll the feed,
looking for changes. On one hand, the fact that we can reuse the
existing ATOM specification and any associated libraries is useful,
and we know that HTTP handles scale very well. However, HTTP is not
good at low latency (where some message brokers excel), and we still
need to deal with the fact that the consumers need to keep track of
what messages they have seen and manage their own polling schedule.
I have seen people spend an age implementing more and more of the
behaviors that you get out of the box with an appropriate message
broker to make ATOM work for some use cases. For example, the
Competing Consumer pattern describes a method whereby you bring up
multiple worker instances to compete for messages, which works well
for scaling up the number of workers to handle a list of independent
jobs. However, we want to avoid the case where two or more workers see
the same message, as we’ll end up doing the same task more than we
need to. With a message broker, a standard queue will handle this.
With ATOM, we now need to manage our own shared state among all the
workers to try to reduce the chances of reproducing effort. If you
already have a good, resilient message broker available to you,
consider using it to handle publishing and subscribing to events. But
if you don’t already have one, give ATOM a look, but be aware of the
sunk-cost fallacy. If you find yourself wanting more and more of the
support that a message broker gives you, at a certain point you might
want to change your approach.”
Likewise, if your design uses a message broker for the event-driven architecture, then I'm not sure if a circuit breaker is needed, because in that case the consumer applications control the rate at which event messages are being consumed from the queues. The producer application can publish event messages at its own pace, and the consumer applications can add as many competing consumers as they want to keep up with that pace. If the server application is down the client applications can still continue consuming any remaining messages in the queues, and once the queues are empty, they will just remain waiting for more messages to arrive. But that does not put any burden on the producer application. The producer and the consumer applications are decoupled in this scenario, and all the work the circuit breaker does in other scenarios would be solved by the message broker application.
Somewhat similar can be said of the service discovery feature. Since the producer and the consumer do not directly talk to each other, but only through the message broker, then the only service you need to discover would be the message broker.
Please consider the scenario as shown in the attached image :
The Portal(producer) will send some message to the bus to which has to be processed by multiple applications(consumer) – PAYROLLAPP, HELPDESK etc.
Multiple instances of consumer applications may be running, also these instances can be added/
removed dynamically
Now, it is critical to ensure that message is processed only once, per application i.e if
PAYROLLAPP -1 processes the message, PAYROLLAPP -2 should NOT process it; of course, in the
above diagram, HELPDESK – 1 must process it. In short, in case of multiple instances, exactly one
must process the message, once
When I searched for answers, most of the stuff was about creating a 'selective consumer' - a consumer that accepts/rejects a message based on some logic - please note that no changes/additions/wrapping can be done for the applications shown in the diagram; the logic has to reside somewhere in the provider that manages the bus
Please guide about the same.
Adding more details after Petter's answer :
The items to the to the left of the left-dotted line are the 'approaches' - Pure JMS,ESB,EAI
The items to the to the right of the right-dotted line are the 'implementations'
Now, the big part - QUERIES :
Irrespective of the solution(pure JMS, ESB, EAI), does the part
below the horizontal dotted line(application-specific queues) needs
to be implemented?
How does the usage of ESB(JBoss ESB etc.), instead of ‘pure’ JMS(Active MQ etc.), help/
hamper? Does ESB provide any advantage over JMS which is ‘java-only’(?). I am hell confused
– ‘ESB or JMS’, even after referring threads like these : JMS and ESB - how they are related?.
It has one reply which says “JMS is not well suited
for the integration of REST services, File systems, S/FTP, Email, Hessian, SOAP etc. which are
better handled with an ESB that supports these types natively. For example, if you have a process
that dumps a CSV file of 500MB at midnight, and you want another system to pickup the file,
parse CSV and import into a database, this can easily be accomplished by an ESB - whereas a
solution with just JMS will be bad. Similarly, integration of REST services, with load balancing/
failover to multiple backend instances can be done better with an ESB supporting HTTP/S
natively.” It only added to my confusion !!!
Is the usage of EAI framework (Apache Camel etc.) an approach entirely different from the pure
JMS or ESB approach? If yes, how and what are the pros/cons?
I was told that ESB alone won’t help, BPM(or something else?) needs to be used to define and
store the ‘routing’ logic – is this true?
I see the point. This might be a bit tricky with "pure" JMS.
What you essentially want to do is to let the portal publish messages to a topic, but not let the PAYROLLAPPs subscribe to that topic (since all of them would get a copy of the message). So what you would need is some logic in between that distributes the message from the topic subscription to one queue per application type. From that queue, normal load balanced (the competing consumer pattern) can be implemented with JMS.
Different JMS providers have special implementations that can acomplish this task
ActiveMQ has its Virtual Destinations, WebSphere MQ has its server side subscriptions that can subscribe from a topic to a queue. In the case your JMS provider does not have any way to handle this, you might want to look at adding some routing middleware to your topology. Apache Camel is a nice, lightweight one, but there are lots of others that can setup some routing in the middle without affecting the real applications.
Update for detailed questions
The Queues below the line has to be there for sure (if your applications uses messaging). The "Some distrib. logic" box shouldn't be needed. The "Some routing logic" box could be an ESB or in this very case, be implemented in the messaging server, for instance ActiveMQ with virtual destinations (or WebSphere MQ or perhaps RabbitMQ among others).
There are a lot of buzwords in the domain of integration. Simplified (depending on who you ask - ESB can also be seen as an architectural pattern, but let's keep it simple), an ESB is a server application (or a topology of multiple servers in practice) that is a centerpiece of an integration landscape. The ESB server simply contain logic and small message flows that takes messages (files, or whatever) from one application and routes them to many applications, transform them to other formats, encrypts, converts from one transport protocol such as HTTP/SOAP to File etc.
JMS is a rather confusing and missused word. Java has to some extent dominated the enterprise messaging domain in the last years, so JMS is sometimes used pretty much as a synonym to Messaging. However, Messaging, (or message queueing, asynchronous messaging, MOM=message oriented middleware, etc.) is to be simply considered as a family of similar transport protocols that features a central relaying server. Is is not at all a Java only thing. Many successful ESBs setups I worked with actually leverage on a Messaging backbone
In your situation, I would not go too deep into the academical/philosophical differences between ESB and EAI software. They will most likely do pretty much the same things for you. Instead, look at the hard facts such as price, support, resource footprint, monitoring, tech. features, learning curve etc. Be it Camel/ServiceMix, Mule, JBoss ESB, Microsoft BizTalk, IBM Message Broker, Tibco etc.
Hah! Was it perhaps a salesman? An ESB will do just fine. A Messaging server will do in your case as well, such as ActiveMQ as has been pointed out already. BPM suits are fine for orchestrating semi-automatized business processes or if there is major business logic in the integration layer. Otherwise, avoid that added complexity.
Irrespective of the solution(pure JMS, ESB, EAI), does the part below the horizontal dotted line(application-specific queues) needs to be implemented?
The consumers need to be implemented in such a way that work with you chosen solution but you shouldn't have to worry about the creation of the queue per consumer or the distribution logic (assuming that the consumers can consume directly from the chosen tech)
How does the usage of ESB(JBoss ESB etc.), instead of ‘pure’ JMS(Active MQ etc.), help/ hamper? Does ESB provide any advantage over JMS which is ‘java-only’(?). I am hell confused – ‘ESB or JMS’, even after referring threads like these : JMS and ESB - how they are related?. It has one reply which says “JMS is not well suited for the integration of REST services, File systems, S/FTP, Email, Hessian, SOAP etc. which are better handled with an ESB that supports these types natively. For example, if you have a process that dumps a CSV file of 500MB at midnight, and you want another system to pickup the file, parse CSV and import into a database, this can easily be accomplished by an ESB - whereas a solution with just JMS will be bad. Similarly, integration of REST services, with load balancing/ failover to multiple backend instances can be done better with an ESB supporting HTTP/S natively.” It only added to my confusion !!!
My opinion is that ESB would overcomplicate this solution. It's designed (amongst other things) to assist integration with different technologies, but simpler solutions do this too - e.g - Apache Camel provides a very easy way of communicating using a huge variety of transports (including ActiveMQ).
Not all JMS implementations cater for connectivity from other languages, but ActiveMQ does using it's STOMP connector.
Is the usage of EAI framework (Apache Camel etc.) an approach entirely different from the pure JMS or ESB approach? If yes, how and what are the pros/cons?
Apache Camel and JMS are complementary technologies, as are JMS and ESB. Camel (& Spring Integration) are lightweight, simple and portable. ESB's are much more heavyweight and will normally lead to greater coupling with the ESB/application server.
I was told that ESB alone won’t help, BPM(or something else?) needs to be used to define and store the ‘routing’ logic – is this true?
It depends what your 'routing' logic is, it looks to me like you don't require routing logic, you just require guaranteed delivery to 1payroll consumer and 1 helpdesk consumer. BPM would be more useful where you want to selectively public data/invoke a service based on some characteristic of that data.
I strongly suggest reading http://activemq.apache.org/virtual-destinations.html, using these you would:
Send messages to the ActiveMQ broker, onto a VirtualTopic, e.g. VirtualTopic.X
Register the Payroll and Helpdesk consumers, as consumers on queues that ActiveMQ dynamically creates on the topic - e.g. Consumer.Payroll.VirtualTopic.X. Both Payroll consumers should be registered with the same string.
ActiveMQ will automatically retain a marker that represents what each set of consumers hasn't consumed. This means that 100% of messages will be processed by a Payroll consumer but a message will never be sent to > 1 payroll consumer.
Add/remove consumers at will.
N.B.I believe that other products, e.g. Apache QPID provide similar functionality - I'm just most aware of ActiveMQ, and have had success with this approach
How does RabbitMQ compare to Mule, I am going to build an application using message oriented architecture and AMQP (RabbitMQ) provides everything i want, but i am perplexed with so many related technology choice and similar concepts like ESB. I am having a doubt if i am making a choice without considering other alternatives.
I am mostly clear that RabbitMQ is a message broker and it helps me in mediating message between producer and consumer (all forms or publish subscribe and i could understand how its used from real examples like twitter , or Facebook updates, etc)
What is Mule, if i could achieve what i do in RabbitMQ using mule, should i consider mule similar to RabbitMQ?
Does mule has a different objective than that of a message broker?
Does mule assumes that underlying it there is a message broker that delivers message to the appropriate mule listeners (i could easily write a listener in RabbitMQ)
Is mule a complete Java bases system ( The current experiment i did with RabbitMQ took me less than 30 Min to write a simple RPC Client Server with client as C# and Server as Java , will such things be done in Mule easily).
Mule is an ESB (Enterprise Service Bus). RabbitMQ is a message broker.
An ESB provides added layers atop of a message broker such as routing, transformations and business process management. It is a mediator between applications, integrating Web Services, REST endpoints, database connections, email and ftp servers - you name it. It is a high-level integration backbone which orchestrates interoperability within a network of applications that speak different protocols.
A message broker is a lower level component which enables you as a developer to relay raw messages between publishers and subscribers, typically between components of the same system but not always. It is used to enable asynchronous processing to keep response times low. Some tasks take longer to process and you don't want them to hold things up if they're not time-sensitive. Instead, post a message to a queue (as a publisher) and have a subscriber pick it up and process it "later".
Mule is a "higher level" service implemented with message broker. From the docs
The messaging backbone of the ESB is
usually implemented using JMS, but any
other message server implementation
could be used
You can build an ESB with rabbit; however, you're going to be limited to sending byte[] packages, and you'll have to build your system out of messaging primitives like topics and queues. It might be a bit faster (based on absolutely no benchmarking, testing or data) because there are fewer layers of translation. Mule provides an abstraction on top of this, speaks a variety of transports, and can handle some routing logic.
Mule is a Enterprise service bus providing end to end integration solution where as Rabbit is message broker for queueing messages between subscriber and receiver.
RabbitMQ, a open source message broker software is written in Erlang programming language and is built on Open Telecom Platform for clustering and failover. It is easy to use, supports a huge number of developer platforms and runs on all major operating systems. It works on a concept called Exchange.
Mule connects RabbitMQ with AMQP connector.