I have a micro services question hoping someone can provide some guidance.
I have a service which returns a list of valid car makes and models from a database and a separate service which allows me to perform CRUD operations to create, update, delete car listings for sale.
When creating a new car listing how can i validate the POST request for a method to create a new listing from the data that is present as part of the other service. e.g. when adding a new listing i want to validate if the make and model are valid or not. but that information is present in the other service.
It's a straightforward approach and normal pattern in Microservices architecture. If your service B needs any data(or validation in your case) which is owned by Service A, then definitely it needs to contact service A.
You can have multiple ways for communicating with other systems eg, Rest or gRPC etc.
In addition to this, you can also replicate/cache those data at the service B side if you think calling every time service A is an overhead for service B.
But remember these are high-level ideas about how you need to approach this problem. You can derive a better solution from the above-suggested patterns.
Related
A have a microservice that needs some data it does not own. It needs a read-only cache of data that is owned by another service. I am looking for guidence on how to implement this.
I dont' want my microserivce to call another microservice. I have too much data that is used in a join for this to be successful. In addition, I don't want my service to be dependent on another service (which may be dependent on another ...).
Currently, I am publishing an event to a queue. Then my service subscribes and maintains a copy of the data. I am haivng problem staying in sync with the source system. Plus, our DBAs are complaining about data duplication. I don't see a lot of informaiton on this topic.
Is there a pattern for this? What the name?
First of all, there are couple of ways to share data and two of them you mention.
One service call another service to get the data when it is required. This is good as you get up to date data and also there is no extra management required on consuming service. Problem is that if you are calling this too many times then other service performance may impact.
Another solution is maintained local copy of that data in consuming service using Pub/Sub mechanism.
Depending on your requirement and architecture you can keep this in actual db of consuming service or some type of cache ( persisted cache)
Here cons is consistency. When working with distributed architecture you will not get strong consistency but you have to depends on Eventual consistency.
Another solution is that and depends on your required you can separate out that tables that needs to join in some separate service. It depends on your use case.
If you still want consistency then at the time when first service call that update the data and then publish. Instead create some mediator component and that will call two service in sync fashion. Here things get complicated as you now try to implement transaction over distributed system.
One another point, when product build around Microservice architecture then it is not only technical move, as a organization and as a team your team needs to understand something that work in Monolith, it is not same in Microservices. DBA needs to understand that part and in Microservices Duplication of data across schema ( other aspect like code) prefer over reusability.
Last but not least, If it is always required to call another service to get data, It is worth checking service boundary as well. It may possible that sometime service needs to merge as business functionality required to stay together.
Microservice architecture is docker-based, one microservice(transaction database with userId) is in Node JS, and the other is in Rust language(User database). We need to create a common API or function to retrieve data from both microservices. MongoDB is used as Database for both microservices.
There are several approaches to do that.
One possible solution is that one of the microservices will be responsible of aggregate this data so this microservice will call the other to obtain the data and then combine it with its own data and return it to the caller. This makes sense when the operation to be done is part of the domain of one of the microservices. For example, if the consumer needs user information it is normal to call the user service and this service makes whatever calls are needed to other services to return all the information.
Another possibility is to use the BFF (Backend For Frontend) pattern, this makes sense when the consumer (for example a frontend) needs different information from different domains to populate the UI, in this case, you will create an additional service that will expose an API with all the information needed for the consumer and this service will do the aggregation of the information. In certain cases, this can be done directly in the API gateway if you are using one.
The third way is similar to the first one but it needs to duplicate data so I don't know if it will be suitable for you. It consists of having a read-only copy of the data owned by one of the service in the other service and updates it asynchronously using events when this data is modified. The benefit of this approach is the performance will be better because you don't need to make the communication between services. The disadvantage is eventual consistency.
I am trying to create a Microservice architecture for a hobby project and I am confused about some decisions. Can you please help me as I never worked using Microservice before?
One of my requirements is that my AngularJS GUI will need to show some drop-down or List of values (example: a list of countries). This can be fetched using a Microservice REST call, but where should the values come from? Can I fetch these from my Config Server? or should it come from Database? If the latter, then should each of the Microservice have their own Database for lookup value or can it be a common one?
How would server-side validation work in this case? I mean, there will certainly be a Microservice call the GUI will make for validation but should the validation service be a common Microservice for all Use Cases/Screens or should it be one per GUI page or should the CRUD Microservice be reused for validation as well?
How do I deal with a use-case where the back-end is not a Database but a Web-service call? Will I need some local DB still to maintain some state in between these calls (especially to take care of scenario where the Web-service call fails) and finally pass on the status to GUI?
First of all, there is no single way design micro-service , one has to choose according to the use case and project requirement.
Can I keep these in a Config Server? or should it come from Database?
Again, it depends upon the use case and requirement. However, because every MS should have their own DB then you can use DB if the countries have only names. But if they have some relationship with City/State then you should use DB only.
If DB should each of the Microservice have their own DB for lookup
value or can it be a common one?
No, IMO multiple MS should not depend on a single DB.Because if the DB fails then all the MS will fail, which should not be done. Each MS should work alone with depending on other DB or MS.
should the validation service be a common microservice for all
UseCases/Screens
Same as point 2
How do I deal with a use-case where the backend is not a Database call
but another Web-service call? Will I need some local DB still to
maintain some state in between these calls and finally pass on the
status to GUI?
If you are using HTTP then you should not save the state of any request. If you want to redirect the request to another MS then you can use Feign client which provides a very good way to call rest-api and other important features like: Load balancing.
Microservice architecture is simple. Here we divide each task into separate services(like Spring-boot application).
Example in every application there will be login function,registration function so on..each of these will a separate services in micro-service architecture.
1.You can store that in database, since in feature if you want add more values it is easy to add.
You can maintain separate or single db. Single db with separate collections or table for each microservices.
Validation means you are asking about who can use which microservice(Role based access)???
3.I think you have to use local db.
Microservices is a collection loosely coupled services. For example, if you are creating an ecommerce application, user management can be a service, order management can be a service and refund & chargeback management can be another service. Now each of these services can be further divided into smaller units, lets call them API Endpoints. For example - user management can have login as an endpoint and signup as another endpoint.
If you want to leverage the power of Microservice architecture in its true sense, here is what I would suggest. For the above example, create 3 Springboot Applications for each service. First thing that you should do after this, is establish trust between those applications. I would prefer JWTs for trust establishment. After that everything is a piece of cake. Here are the answers you are looking for :
You should ideally use a database, as opposed to keeping the values in config server, for fetching a list of countries so that you need not recompile your code every time a new country is added.
You can easily restrict access using #PreAuthorize if Role based access is what you are referring to.
You can use OkHttp or any other HttpClient in this usecase. And you certainly need not maintain any local db. However, you can cache the output of the webservice call if that is a requirement.
P.S.: Establishing trust between microservices can be a complex task if you dont understand all the delicacies. In which case, I would recommend going ahead with a single Springboot application; which is a monolithic architecture. I would still recommend JWTs though.
I'm a beginner in microservice architecture and I have read in a lot of blog that in a microservice architecture, it is mandatory that each micro service has its own database. In my case it may cost very expensive.
My question is, is it possible to make the persistence layer as micro service in itself ? Which would have the function of allowing other microservices to have read/write access to the database.
Thanks
To answer your question first of all lets understand :
it is mandatory that each micro service has its own database. In my
case it may cost very expensive.
Yes it is said that every microservice should have its own database.
What they mean is tables/collection of each microservice should be separate (you could use a single scalable database instance) and one microservice should only access the data of other microservices only through API calls
Benefits of having a separate model are:
Model will be clean. Eg: In E-Commerce Customer have diff. meaning for Shipping Microservice, Order Microservice, Customer Management Microservice and so on. If we put all data required by multiple microserives Customer Object will become very big
Microservices could evolve independently. In this case if we have a single Customer object and one microservice lets say Order one want to add something to the schema, all microservices needs to change
If we have a single Database Schema we will be getting into a big mess.
In my case it may cost very expensive.
If expensive means read model actually require data from multiple microservices. then its better to listen to events from multiple microservices and create a single read model , little duplication of data is ok.
If anything else, ask more specific question.
Having all Microservices accessing the same database will result in Loose Cohesion and Strong Coupling
Try to see if you can define separate Schema for each of the Microservices, so that you can ensure Microservices doesn't refer to the tables of other MicroServices.
This way in future, you can seamlessly move to separate Database for each service when your infrastructure cost concern goes off.
Micro services follows database per service model
I am designing an review analysis platform in microservices architecture.
Application is works like below;
all product reviews retrieved from ecommerce-site-a ( site-a ) as an excel file
reviews are uploaded to system with excel
Analysis agent can list all reviews, edit some of them, delete or approve
Analysis agent can export all reviews for site-a
Automated regexp based checks are applied for each review on upload and editing.
I have 3 microservices.
Reviews: Responsible for Review Crud operations plus operations similar to approve/reject..
Validations: Responsible for defining and applying validation rules on review.
Export/Import: Export service exports huge files given site name (like site-a)
The problem is at some point, validation service requires to get all reviews for site-a, apply validation rules and generate errors if is there any. I know sharing database schema's and entities breaks micro-services architecture.
One possible solution is
Whenever validation service requires reviews for a site, it requests gateway, gateway redirects request to Reviews service and response taken.
Two possible drawbacks of this approach is
validation service knows about gateway? Is it brings a dependency?
in case I have 1b reviews for a site, getting all reviews via rest request may be a problem. ( or not, I can make paginated requests from validation service to gateway..)
So what is the best practice for sharing huge data between micro-services without
sharing entity
and dublicating data
I read lot about using messaging queues but I think in my case it is not good to use messaging queue to share gigabytes of data.
edit 1: Instead of sharing entity, using data stores with rest API can be a solution? Assume I am using mongodb, instead of sharing my entity object between microservices, I can use rest interface of mongo (http://restheart.org/) and query data whenever possible.
Your problem here is not "sharing huge data", but rather the boundaries you choose to separate your micro services based on.
I can tell from your requirements that the 3 micro services you chose to separate (Reviews, Validations, Import/Export) are actually operating on the same context and business domain .. which is Reviews.
I would encourage you to reconsider your design decision and consider Reviews, as a single micro service, that handles all reviews operations and logic as a black box.
I assume that reviews are independent from each other and that validating a review therefore requires only that review, and no other reviews.
You don't want to share entities, which rules out things like shared databases, Hadoop clusters or data stores like Redis. You also don't want to duplicate data, thereby ruling out plain file copies or trigger-based replication on database level.
In summary, I'd say your aim should be a stream. Let the Validator request everything from Reviews about Site A, but not in one bulk, but in a stream of single or small packages of reviews.
The Validator can now process the reviews one after the other, at constant memory and processor consumption. To gain performance, you can make multiple instances of the Validator who pull different, disjunct pieces of the stream at the same time. Similarly, you can create multiple instances of the Reviews microservice if one alone wouldn't be able to answer the pull fast enough.
The Validator does not persist this stream, it produces only the errors and stores or sends them somewhere; this should fulfill your no-sharing no-duplication requirements.