Service-Oriented Architecture vs Microservices is now becoming the top priority for a significant group of developers as these architectures help them in developing applications that are independently deployable and consist of a set of dissociated services. With the increasing need for better performance and scalability of applications, the older architectures are becoming obsolete at a fast rate. They have both similarities and differences; here, we are going to understand their concepts and their differences.
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Companies need to be thinking long-term before even starting a software development project. These needs are solved at the level of architecture: business owners want to assure agility, scalability, and performance.
The top contenders for scalable solutions are serverless and microservices. Both architectures prioritize security but approach it in their own ways. Let’s take a look at how businesses can benefit from the adoption of serverless architecture vs microservices, examine their differences, advantages, and use cases.
#serverless #microservices #architecture #software-architecture #serverless-architecture #microservice-architecture #serverless-vs-microservices #hackernoon-top-story
The software industry has come a long journey and throughout this journey, Software Architecture has evolved a lot. Starting with 1-tier (Single-node), 2-tier (Client/ Server), 3-tier, and Distributed are some of the Software Architectural patterns we saw in this journey.
The majority of software companies are moving from Monolithic architecture to Microservices architecture, and Microservices architecture is taking over the software industry day-by-day. While monolithic architecture has many benefits, it also has so many shortcomings when catering to modern software development needs. With those shortcomings of monolithic architecture, it is very difficult to meet the demand of the modern-world software requirements and as a result, microservices architecture is taking control of the software development aggressively. The Microservices architecture enables us to deploy our applications more frequently, independently, and reliably meeting modern-day software application development requirements.
#microservice architecture #istio #microservice best practices #linkerd #microservice communication #microservice design #envoy proxy #kubernetes architecture #api gateways #service mesh architecture
Some principles are emerging for what one might call service-oriented programming languages. The principles are general, so they can help when thinking about code even when operating outside of these languages.
A little demo of the code shown in this article can be seen in this video:
The rise of cloud computing has thrown many developers into the world of developing software that consists of services: components that can be executed independently and then be composed by means of message passing.
Microservices continue this practice by making each service “small”, in the sense that it is organized around business capabilities, and potentially developed by an independent team.
Developing (micro)service-oriented systems poses a challenge that motivated substantial efforts in the identification and dissemination of useful tools and design patterns, some new and some well-known. At the latest Microservices Conference (that’s Microservices 2020 at the time of this writing), the people behind the programming languages Jolie and Ballerina teamed up to tell a story that takes this even further: some principles are so important for service-oriented programming that programming languages should consider supporting them natively.
—The banner of the conference Microservices 2020, which was held online due to the COVID situation.
In this article, I attempt at summarising some of these principles and the motivation behind them. You will also find a short video that applies these principles to a simple example.
The list of principles is by no means complete. More will follow. If you have an opinion on the principles listed here, what principles are missing, and how these principles related to existing technologies, I’d love to hear it!
The article consists of two main parts: motivation and principles. They can be read separately at different times, if you’re in a rush.
#microservices #jolie #service-oriented-architecture #service-oriented-computing #programming #microservice-architecture #coding #api
We have been building software applications for many years using various tools, technologies, architectural patterns and best practices. It is evident that many software applications become large complex monolith over a period for various reasons. A monolith software application is like a large ball of spaghetti with criss-cross dependencies among its constituent modules. It becomes more complex to develop, deploy and maintain monoliths, constraining the agility and competitive advantages of development teams. Also, let us not undermine the challenge of clearing any sort of technical debt monoliths accumulate, as changing part of monolith code may have cascading impact of destabilizing a working software in production.
Over the years, architectural patterns such as Service Oriented Architecture (SOA) and Microservices have emerged as alternatives to Monoliths.
SOA was arguably the first architectural pattern aimed at solving the typical monolith issues by breaking down a large complex software application to sub-systems or “services”. All these services communicate over a common enterprise service bus (ESB). However, these sub-systems or services are actually mid-sized monoliths, as they share the same database. Also, more and more service-aware logic gets added to ESB and it becomes the single point of failure.
Microservice as an architectural pattern has gathered steam due to large scale adoption by companies like Amazon, Netflix, SoundCloud, Spotify etc. It breaks downs a large software application to a number of loosely coupled microservices. Each microservice is responsible for doing specific discrete tasks, can have its own database and can communicate with other microservices through Application Programming Interfaces (APIs) to solve a large complex business problem. Each microservice can be developed, deployed and maintained independently as long as it operates without breaching a well-defined set of APIs called contract to communicate with other microservices.
#microservice architecture #microservice #scaling #thought leadership #microservices build #microservice
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