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Over the years of working with microservices, we’ve discovered key points that you have to keep track of in order to** maintain good visibility** and** be able to manage microservices**. Check out these simple rules down below.
There are many tools out there to generate API documentation from the code. This approach is a clear winner compared to manual API documentation because:
There are a lot of libraries to use depending on the programming language of a particular service. I like using tools that generate Swagger documentation that I can as well import to Postman if needed.
#microservices #startup #api
1616218860
Over the years of working with microservices, we’ve discovered key points that you have to keep track of in order to** maintain good visibility** and** be able to manage microservices**. Check out these simple rules down below.
There are many tools out there to generate API documentation from the code. This approach is a clear winner compared to manual API documentation because:
There are a lot of libraries to use depending on the programming language of a particular service. I like using tools that generate Swagger documentation that I can as well import to Postman if needed.
#microservices #startup #api
1599055326
The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.
This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?
Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.
Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.
Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.
Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.
The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.
Keep in mind that there are additional things to focus on when testing microservices.
Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.
As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.
Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.
#testing #software testing #test automation #microservice architecture #microservice #test #software test automation #microservice best practices #microservice deployment #microservice components
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rameworks and libraries can be said as the fundamental building blocks when developers build software or applications. These tools help in opting out the repetitive tasks as well as reduce the amount of code that the developers need to write for a particular software.
Recently, the Stack Overflow Developer Survey 2020 surveyed nearly 65,000 developers, where they voted their go-to tools and libraries. Here, we list down the top 12 frameworks and libraries from the survey that are most used by developers around the globe in 2020.
(The libraries are listed according to their number of Stars in GitHub)
**GitHub Stars: **147k
Rank: 5
**About: **Originally developed by researchers of Google Brain team, TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art research in ML. It allows developers to easily build and deploy ML-powered applications.
Know more here.
**GitHub Stars: **98.3k
**Rank: **9
About: Created by Google, Flutter is a free and open-source software development kit (SDK) which enables fast user experiences for mobile, web and desktop from a single codebase. The SDK works with existing code and is used by developers and organisations around the world.
#opinions #developer tools #frameworks #java tools #libraries #most used tools by developers #python tools
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Microservices architecture is a methodology wherein fragment monolithic single application into small applications and services which executes lightweight applications. Business capabilities and independently deployable models are the primary goals for Microservices development. Microservices architecture built using different programming languages and deployed them and connect.
The following are some of the critical aspects that can be considered while choosing the proper framework:
#microservices #framework #microservice
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#best android mobile app development frameworks #top mobile app development frameworks #android app development frameworks #top frameworks for android app development #most popular android app development frameworks #app development frameworks