microservice | microservice with springcloud and docker | Microservice library

let's assume this is my folder structure with all microservices and all package.json have start, dev and test scripts defined.

We have this Ansible inventory with dozens of servers, being grouped in servers per microservice. So say we have several application groups in the inventory with servers in it.

Say:

I was following this tutorial https://kubernetes.io/docs/tutorials/configuration/configure-java-microservice/configure-java-microservice-interactive/

After packaging the mvn projects, I'm asked to deploy them by using the following YAML file with the following command

Context:

1. In Azure function with EventHubTrigger, I save data mapped from handled event to database (through the Entity framework). This action performs synchronously
2. Trigger a new event about successful data insertion using event hub producer. This action is async
3. Handle that triggered event at some other place

I guess it might happen that something fails during saving data, so I am wondering how to prevent inconsistency and secure that event is not sent if it should not. As far as I know Azure Event Hub has no outbox pattern implemented yet, so I guess I would need to mimic it somehow.

I am also thinking about alternative and a bit smelly solution to make this publish event method synchronous in step 2 (even if nature of the event-driven is to be async) and to add an addition check between step 1 and step 2 - to make sure that everything is saved in db. Only if that condition is fulfilled, event is going to be triggered (step 3).

Any advice?

I have defined a resource/method in API Gateway to make a post call to Lambda Function which is a microservice exposing few endpoints.

Method: post

Payload:

I have 3 AWS Elastic Beanstalk instances which are running Spring microservices. All microservices are making POST requests to each other and using RDS service for database.

Should I isolate database traffic and microservices traffic into separate subnets? In case it's a good practice is it possible to assign 2 private network IP's for each subnet for every AWS Elastic Beanstalk instance?

I have a Google VM running my dockerized application and i also have my Firebase front end application.

I want my Firebase application to trigger my microservice. The thing is, i want to be security conscious and i want the Firebase app to be the only actor who can trigger the microservice.

What is the best option for such a task? The only thing i have found are json web tokens (jwts). Is this good enough for the job? Is there something better?

If jwts are what is needed, then what is the logic that the code should have? Should the server create a key and send it to the microservice, then the microservice should decode it and only if it matches a value it should proceed with the job?

I want to get your opinion on a design decision. I need to prepare a project that makes the crud operations with weather sensors and I need the communicate each weather sensor with NTCIP in the database and get information like temperature, humidity, etc.

the problem is scaling. In my architecture, I write a .net core microservice and that has a own separate database. This weather station microservice reads all weather stations from the database then communicates each sensor via IP. I open a thread for each record and these threads do the data communication over IP. When I replicate this microservice, because of the same algorithm all microservice works with the same data. My goal is to distribute database data to replicated microservice by count. For example, if there are 100 weather station records in the database and I have 2 replicas I need to distribute 50 records to the first one, and 50 to the second one. Also, I need to if I change the replica count, the distribution will be redone. I search the internet, and I found a apache helix, but it's more complicated for this operation. Please give me advice. thanks a lot

I have a microservice written in Haskell, the compiler is 8.8.3. I built it with --profile option and ran it with +RTS -p. It is running about 30 minutes, there is .prof file but it is empty (literally 0 bytes). Previously I did it on my local machine and I stop the service with CTRL-C and after the exit it produced .prof file which was not empty.

So, I have 2 questions:

1. How to collect profiling information when a Haskell microservice runs under Kubernetes in the most correct way (to be able to read this .prof file)?
2. How to pass run time parameter to Haskell run-time where to save this .prof file (maybe some workaround if no such an option), for 8.8.3 - because I have feeling that the file may be big and I can hit disk space problem. Also I don't know how to flush/read/get this file while microservice is running. I suppose if I will be able to pass full path for this .prof file then I can save it somewhere else on some permanent volume, to "kill" the service with INT signal for example, and to get this .prof file from the volume.

What is the usual/convenient way to get this .prof file when the service runs in Kubernetes?

PS. I saw some relevant options in the documentation for newest versions, but I am with 8.8.3