rest-microservices | Sample for Spring Boot based REST microservices | Microservice library

 by   odrotbohm Java Version: Current License: No License

kandi X-RAY | rest-microservices Summary

kandi X-RAY | rest-microservices Summary

rest-microservices is a Java library typically used in Architecture, Microservice, Spring Boot, Spring, Docker, Swagger applications. rest-microservices has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Sample for Spring Boot based REST microservices
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            kandi-support Support

              rest-microservices has a low active ecosystem.
              It has 188 star(s) with 118 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 7 have been closed. On average issues are closed in 40 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rest-microservices is current.

            kandi-Quality Quality

              rest-microservices has 0 bugs and 0 code smells.

            kandi-Security Security

              rest-microservices has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              rest-microservices code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              rest-microservices does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              rest-microservices releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              rest-microservices saves you 217 person hours of effort in developing the same functionality from scratch.
              It has 531 lines of code, 17 functions and 19 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rest-microservices and discovered the below as its top functions. This is intended to give you an instant insight into rest-microservices implemented functionality, and help decide if they suit your requirements.
            • Reads all stores from a file
            • Process a customer resource
            • Entry point for the application
            • List of stores by location
            • Entry point for the Eureka server application
            • The main entry point
            • Main entry point
            Get all kandi verified functions for this library.

            rest-microservices Key Features

            No Key Features are available at this moment for rest-microservices.

            rest-microservices Examples and Code Snippets

            No Code Snippets are available at this moment for rest-microservices.

            Community Discussions

            QUESTION

            AWS Api Gateway local testing/development
            Asked 2019-May-25 at 22:13

            We've got dockerized microservices in AWS, all behind an API Gateway and accessible via REST. Authentication is managed by the API Gateway.

            Is there any possibility to test those REST-microservices on a local machine (including authentication/api gateway logic)? Is there a possibility to make the API Gateway echo back the requests to my local machine and to call the microservices running locally? What is best practice for testing API Gateway managed authentication locally?

            Thanks!

            ...

            ANSWER

            Answered 2017-Jul-28 at 20:31

            Unfortunately, API Gateway doesn't offer local testing/development solutions at the moment. Thank you for your feedback; I have added your use-case to our backlog.

            Regards, Ritisha.

            Source https://stackoverflow.com/questions/45322523

            QUESTION

            Data Sharing between micro services
            Asked 2017-Jan-26 at 10:18

            Current Architecture:

            Problem:

            We have a two-step flow between frontend and backend layers.

            • First step: The frontend validates an input I1 from the user on microservice 1 (MS1)
            • Second step: The frontend submits I1 and more information to the microservice 2

            The micro service 2 (MS2) needs to validates the integrity of I1 as it is coming from the frontend. How to do avoid a new query to MS1? What's the best approach?

            Flows that I'm trying to optimize removing the steps 1.3 and 2.3

            Flow 1:

            • 1.1 The User X requests data (MS2_Data) from MS2
            • 1.2 The User X persists data (MS2_Data + MS1_Data) on MS1
            • 1.3 The MS1 check the integrity of MS2_Data using a B2B HTTP request
            • 1.4 The MS1 use MS2_Data and MS1_Data to persist and Database 1 and build the HTTP response.

            Flow 2:

            • 2.1 The User X already has data (MS2_Data) stored on local/session storage
            • 2.2 The User X persists data (MS2_Data + MS1_Data) on MS1
            • 2.3 The MS1 check the integrity of MS2_Data using a B2B HTTP request
            • 2.4 The MS1 use MS2_Data and MS1_Data to persist and Database 1 and build the HTTP response.

            Approach

            One possible approach is to use a B2B HTTP request between MS2 and MS1 but we would be duplicating the validation in the first step. Another approach will be duplicating data from MS1 to MS2. however this is prohibitive due to the amount of data and it's volatility nature. Duplication does not seem to be a viable option.

            A more suitable solution is my opinion will the frontend to have the responsibility to fetch all the information required by the micro service 1 on the micro service 2 and delivered it to the micro service 2. This will avoid all this B2B HTTP requests.

            The problem is how the micro service 1 can trust the information sent by the frontend. Perhaps using JWT to somehow sign the data from the micro service 1 and the micro service 2 will be able to verify the message.

            Note Every time the micro service 2 needs information from the micro service 1 a B2B http request is performed. (The HTTP request use ETAG and Cache Control: max-age). How to avoid this?

            Architecture Goal

            The micro service 1 needs the data from the micro service 2 on demand to be able to persist MS1_Data and MS2_Data on MS1 database, so the ASYNC approach using a broker does not apply here.

            My question is if exists a design pattern, best practice or a framework to enable this kind of thrust communication.

            The downside of the current architecture is the number of B2B HTTP requests that are performed between each micro services. Even if I use a cache-control mechanism the response time of each micro service will be affected. The response time of each micro services is critical. The goal here is to archive a better performance and some how use the frontend as a gateway to distribute data across several micro services but using a thrust communication.

            MS2_Data is just an Entity SID like product SID or vendor SID that the MS1 must use to maintain data integrity.

            Possible Solution

            The idea is to use the gateway as an api gateway request processing that will cache some HTTP response from MS1 and MS2 and use them as a response to MS2 SDK and MS1 SDK. This way no communication (SYNC OR ASYNC) is made directly between MS1 and MS2 and data duplication is also avoided.

            Of course the above solution is just for shared UUID/GUID across micro services. For full data, an event bus is used to distribute events and data across micro services in an asynchronous way (Event sourcing pattern).

            Inspiration: https://aws.amazon.com/api-gateway/ and https://getkong.org/

            Related questions and documentation:

            ...

            ANSWER

            Answered 2017-Jan-13 at 19:50

            It's difficult to judge the viability of any solution without looking "inside" the boxes, however:

            • If the only thing you care about here is stopping the frontend from potentially tampering with the data, you can create a sort of "signature" of the packet of data sent by MS2 to the frontend and propagate the signature to MS1 together with the packet. The signature can be a hash of the packet contatenated with a pseudorandom number generated in a deterministic way from a seed shared by the microservices (so MS1 can recreate the same pseudorandom number as MS2 without the need for an additional B2B HTTP request, and then verify the integrity of the packet).

            • The first idea that comes to my mind is to verify whether the ownership of the data could be modified. If MS1 must frequently access a subset of data from MS2 it MAY be possible to move the ownership of that subset from MS2 to MS1.

            • In an ideal world the microservices should be completely standalone, each one with it's own persistence layer and a replication system in place. You say that a broker is not a viable solution, so what about a shared data layer?

            Hope it helps!

            Source https://stackoverflow.com/questions/41640621

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install rest-microservices

            You can download it from GitHub.
            You can use rest-microservices like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the rest-microservices component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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