My problem is the following.
Considering a micro service architecture with nestJs, some action are triggered by event.
Assume I have "user service" that throw "user.created" event when ne user is registered on DB, some others services can listen this event.
If a service scale, mean there are more than & instance a a service running in same time, the message is consumed many time by the same "kind of service".
How can I resolve this problem ?
Her you'll find a complete example project with above use case and running code : https://github.com/quentin-bardenet/nest-u-service-scalability-problem
Finally it's ok, I replace Redis transporter by NATS.
NATS support queue then I can create kind of groups.
I updated the previous repository with the working code, maybe it could help someone.
Related
When building an application before scaling to multiple micro services. You have a codebase consisting of services that are decoupled. IE a services no longer depends on another service, not even loosely via a interface. It receives input from a service via a message buss. It has a method receivePaymentRequest but its callee is not the Order service. Its invoked via the message bus, perhaps in the future on another server. But imagine theres no need to run multiple servers at this point.
a order services posts to the message bus payment-request event
the payment services picks up on this message
payment is completed
payment service send a payment-complete event message to the message bus
the order service picks up this message
I"m not thinking about the patterns that enable this to be fault tolerant. But instead when to use this approach since it adds a lot of complexity. So please ignore what i've left out with regards to this
Correct? Is it stupid to implement it like such before scaling to microservices. How does this. Is SOA the step before actual microservices?
When should a class receive/publish on the message buss and when should it depend on a service as a class (even injected via a interface) ?
Problem:
Suppose there are two services A and B. Service A makes an API call to service B.
After a while service A falls down or to be lost due to network errors.
How another services will guess that an outbound call from service A is lost / never happen? I need some another concurrent app that will automatically react (run emergency code) if service A outbound CALL is lost.
What are cutting-edge solutions exist?
My thoughts, for example:
service A registers a call event in some middleware (event info, "running" status, timestamp, etc).
If this call is not completed after N seconds, some "call timeout" event in the middleware automatically starts the emergency code.
If the call is completed at the proper time service A marks the call status as "completed" in the same middleware and the emergency code will not be run.
P.S. I'm on Java stack.
Thanks!
I recommend to look into patterns such as Retry, Timeout, Circuit Breaker, Fallback and Healthcheck. Or you can also look into the Bulkhead pattern if concurrent calls and fault isolation are your concern.
There are many resources where these well-known patterns are explained, for instance:
https://www.infoworld.com/article/3310946/how-to-build-resilient-microservices.html
https://blog.codecentric.de/en/2019/06/resilience-design-patterns-retry-fallback-timeout-circuit-breaker/
I don't know which technology stack you are on but usually there is already some functionality for these concerns provided already that you can incorporate into your solution. There are libraries that already take care of this resilience functionality and you can, for instance, set it up so that your custom code is executed when some events such as failed retries, timeouts, activated circuit breakers, etc. occur.
E.g. for the Java stack Hystrix is widely used, for .Net you can look into Polly .Net to make use of retry, timeout, circuit breaker, bulkhead or fallback functionality.
Concerning health checks you can look into Actuator for Java and .Net core already provides a health check middleware that more or less provides that functionality out-of-the box.
But before using any libraries I suggest to first get familiar with the purpose and concepts of the listed patterns to choose and integrate those that best fit your use cases and major concerns.
Update
We have to differentiate between two well-known problems here:
1.) How can service A robustly handle temporary outages of service B (or the network connection between service A and B which comes down to the same problem)?
To address the related problems the above mentioned patterns will help.
2.) How to make sure that the request that should be sent to service B will not get lost if service A itself goes down?
To address this kind of problem there are different options at hand.
2a.) The component that performed the request to service A (which than triggers service B) also applies the resilience patterns mentioned and will retry its request until service A successfully answers that it has performed its tasks (which also includes the successful request to service B).
There can also be several instances of each service and some kind of load balancer in front of these instances which will distribute and direct the requests to an available instance (based on regular performed healthchecks) of the specific service. Or you can use a service registry (see https://microservices.io/patterns/service-registry.html).
You can of course chain several API calls after another but this can lead to cascading failures. So I would rather go with an asynchronous communication approach as described in the next option.
2b.) Let's consider that it is of utmost importance that some instance of service A will reliably perform the request to service B.
You can use message queues in this case as follows:
Let's say you have a queue where jobs to be performed by service A are collected.
Then you have several instances of service A running (see horizontal scaling) where each instance will consume the same queue.
You will use message locking features by the message queue service which makes sure that as soon one instance of service A reads a message from the queue the other instances won't see it. If service A was able to complete it's job (i.e. call service B, save some state in service A's persistence and whatever other tasks you need to be included for a succesfull procesing) it will delete the message from the queue afterwards so no other instance of service A will also process the same message.
If service A goes down during the processing the queue service will automatically unlock the message for you and another instance A (or the same instance after it has restarted) of service A will try to read the message (i.e. the job) from the queue and try to perform all the tasks (call service B, etc.)
You can combine several queues e.g. also to send a message to service B asynchronously instead of directly performing some kind of API call to it.
The catch is, that the queue service is some highly available and redundant service which will already make sure that no message is getting lost once published to a queue.
Of course you also could handle jobs to be performed in your own database of service A but consider that when service A receives a request there is always a chance that it goes down before it can save that status of the job to it's persistent storage for later processing. Queue services already address that problem for you if chosen thoughtfully and used correctly.
For instance, if look into Kafka as messaging service you can look into this stack overflow answer which relates to the problem solution when using this specific technology: https://stackoverflow.com/a/44589842/7730554
There is many way to solve your problem.
I guess you are talk about 2 topics Design Pattern in Microservices and Cicruit Breaker
https://dzone.com/articles/design-patterns-for-microservices
To solve your problem, Normally I put a message queue between services and use Service Discovery to detect which service is live and If your service die or orverload then use Cicruit Breaker methods
Just wondering what the best way of capturing "fanout" calls from RabbitMQ is in Laravel subscriber services?
Service 1 sends out the message, say UserUpdated with their UUID, and this goes into RabbitMQ now.
Service 2/3/4/n capture UserUpdated and perform their appropriate actions.
I just don't know the best way to have a long running service on the Laravel subscribers to catch these messages and perform their own actions. I've tried multiple packages on GitHub so far but none go into this detail of where to place a class to receive the messages.
All help is much appreciated.
You can achieve that with enqueue/laravel-queue package. It comes with Enqueue Simple Client support. The client supports, pub/sub, message bus and friendly for use in microservers oriented systems.
I am new to Microservices and have a question with RabbitMQ / EasyNetQ.
I am sending messages from one microservice to another microservice.
Each Microservice are Web API's. I am using CQRS where my Command Handler would consume message off the Queue and do some business logic. In order to call the handler, it will need to make a request to the API method.
I would like to know without having to explicit call the API endpoint to hit the code for consuming messages. Is there an automated way of doing it without having to call the API endpoint ?
Suggestion could be creating a separate solution which would be a Console App that will execute the RabbitMQ in order to start listening. Create a while loop to read messages, then call the web api endpoint to handle business logic every time a new message is sent to the queue.
My aim is to create a listener or a startup task where once messages are in the queue it will automatically pick it up from the Queue and continue with command handler but not sure how to do the "Automatic" way as i describe it. I was thinking to utilise Azure Webjob that will continuously be running and it will act as the Consumer.
Looking for a good architectural way of doing it.
Programming language being used is C#
Much Appreciated
The recommended way of hosting RabbitMQ subscriber is by writing a windows service using something like topshelf library and subscribe to bus events inside that service on its start. We did that in multiple projects with no issues.
If you are using Azure, the best place to host RabbitMQ subscriber is in a "Worker Role".
I am using CQRS where my Command Handler would consume message off
the Queue and do some business logic. In order to call the handler, it
will need to make a request to the API method.
Are you sure this is real CQRS? CQRS occures when you handle queries and commands differently in your domain logic. Receiving a message via a calss, that's called CommandHandler and just reacting to it is not yet CQRS.
My aim is to create a listener or a startup task where once messages
are in the queue it will automatically pick it up from the Queue and
continue with command handler but not sure how to do the "Automatic"
way as i describe it. I was thinking to utilise Azure Webjob that will
continuously be running and it will act as the Consumer. Looking for
a good architectural way of doing it.
The easier you do that, the better. Don't go searching for complex solutions until you tried out all the simple ones. When I was implementing something similar, I was just running a pool of message handler scripts using Linux cron. A handler poped a message off the queue, processed it and terminated. Simple.
I think using the CQRS pattern, you will have events as well and corresponding event handlers. As you are using RabbitMQ for asynchronous communication between command and query then any message put on specific channel on RabbitMQ, can be listened by a callback method
Receiving messages from the queue is more complex. It works by subscribing a callback function to a queue. Whenever we receive a message, this callback function is called by the Pika library.
In NServiceBus 3.0.3 I have written a saga. Based on what I'm seeing in the CQRS paradigm, when we see past tense, that should coincide with an event. I want to make sure I don't have business logic in my saga. My assumption in building the saga is that it would receive events and issue commands based on the event that came in as well as certain data elements stored on the saga. The issue I'm running into is that the Saga by default cannot subscribe to published events. I've tried in the EndPointConfig setting up the IWantToRunAtStartup and in the Run method executing
Bus.Subscribe<CustomerBilledEvent>();
I've tried creating a handler in the same assembly with saga and still no dice.
My app.config for both the saga (hosted by Nservicebus.host.exe) and the publisher (a service in a console application) both have the message endpoints configured as such
<add Messages="Events.CustomerBilledEvent, Events" Endpoint="orderservice"/>
IHandleMessages has been configured on the Saga as well as the mapping has been configured on the orderid.
IHandleMessages<CustomerBilledEvent>
ConfigureMapping<CustomerBilledEvent>(s => s.OrderId, m=> m.OrderId);
I'm a little lost as to why I can't get the Saga to subscribe to this event. I understand they do not auto subscribe by default but when I look at samples under Udi and John's blogs, I see past tense being sent (IEvent?) to the saga and them issuing Bus.Send which I infer to be commands (ICommand).
So the problem is that you've set it up that your saga is trying to subscribe to the "orderservice" endpoint to be notified about the CustomerBilledEvent, but that endpoint isn't publishing it.